We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences. Real time data processing and gRPC microservices (Typelevel stack). Take end-to-end ownership of services, from development to production operations Optimising the performance of the application in the cloud environments Creating/improving automated pipelines that support our Continuous Delivery process Build, scale and maintain large scale cloud-based services Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals. Refining the team processes to continuously integrate and working towards a continuously deliverable application. Championing best practices to develop clean, resilient code that performs at serious scale. Coaching and providing feedback to fellow developers. What you'll bring Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python). Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before. Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support. Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations. Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP). Ability to collaborate effectively across teams and communicate technical concepts clearly. A problem-solving mindset and eagerness to learn new technologies and approaches. Ability to challenge technical choices, architecture, tools and processes Team overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
About Us: Fifth Dimension is bringing vibe working to document-heavy industries . Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We're a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice ️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. The Challenge It's 9 AM on a Monday. Using Claude Code, you've just implemented a new extraction pipeline that transforms how property leases are analyzed. By noon, a major real estate firm emails: "This just saved us 40 hours of work." By Thursday, you're troubleshooting with their development team as they integrate your APIs into their enterprise document management system. By Friday, you're celebrating with the team as data flows seamlessly between platforms, unlocking new capabilities for real estate investors that will help them make faster, more informed decisions across their portfolios. About You You're an expert software engineer who's witnessed the transformative power of AI and wants to apply it to solve real business problems. You don't just code you architect solutions that make users say "How did we ever work without this?" You've developed exceptional engineering and architectural skills through years of practice. You stay current with AI advances and can identify the right approach for each unique challenge. Your experience implementing AI in business contexts has taught you that the magic isn't in the model it's in understanding the problem deeply. You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential. Details don't escape you. You're comfortable diving into complex documents and intricate code to build a complete picture. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers. You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer. Your Impact Reporting to our CTO Chen, you'll architect and implement innovative AI technology to meet our enterprise customers' unique needs. Working closely with our skilled engineering team, you'll design scalable AI solutions that deliver tangible value and expand the capabilities of our generative AI platform. You'll own the complete lifecycle of core product capabilities from initial customer conversations through architecture, implementation, deployment, and customer adoption. Day to Day, You Will Think like a Product Manager+: Own core product components while balancing technical excellence with business impact Own end-to-end delivery of complex features from initial concept to production deployment and customer adoption Collaborate with product and commercial teams to understand customer needs and translate them into robust technical solutions Leverage AI coding tools like Claude Code to accelerate development workflows Lead development of features solving our customers' most complex challenges: Advanced data extraction systems for processing property leases at scale Sophisticated workflow automation for analyzing planning documents and drafting advice Multi-step agentic content generation for creating market research reports Implement data privacy and security by design Stay ahead of relevant research and technologies Mentor other engineers and help establish engineering best practices Invest in your own growth by taking on ambitious technical challenges and expanding your expertise Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation Our Values and Engineering Culture At 5D, we embody three core principles: Own it, Ship it, and Don't be boring. Our engineering team values: Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps Effective Time Management: Setting clear timebox and abandoning approaches that aren't working Clear Communication: Writing self-documenting code and providing detailed explanations Innovation Mindset: Forming well-reasoned opinions backed by data and continuously learning Personal Growth: Supporting your development through challenging work and opportunities to expand your expertise Intellectual Curiosity and Honesty in Action: An Example Here's an example of how we work: Early in our journey with AI, one of our engineers discovered that certain words like "concise" or "creative" had disproportionate effects on model outputs we called them "demon words." Rather than accepting this as an immutable quirk, they spent a week methodically tracking down every instance in our codebase, testing alternatives, and documenting the patterns they found. This intellectual curiosity to understand the "why" behind technical oddities, combined with the honesty to admit what we didn't yet understand, led to significant improvements in our product's reliability. At 5D, we value this combination of curiosity and honesty above all the willingness to dive deep into unexpected behaviors and openly share both successes and failures with the team. What We're Looking For Experience in high-growth startups or fast-paced tech environments Track record building software in organizations with excellent engineering practices History of owning end-to-end product development, from definition to delivery and customer adoption Strong Python skills with a track record of shipping customer-facing features on critical paths Experience building and maintaining high-quality APIs and integrations Proficiency with AI coding assistance tools (Cursor, GitHub Copilot, Claude Code) Intellectual curiosity and honesty digging deep into problems and sharing findings openly Proven ability to make technical decisions that balance immediate user needs with long-term architecture Exceptional communication abilities for explaining complex concepts to diverse audiences Ambition and resilience we're a seed-stage company tackling ambitious challenges Commercial awareness delivering continuous value to customers is essential Passion for personal growth and continuous learning Nice to Have (But Not Required) Past experience in real estate, law, or finance Background with robust software testing and deployment practices Experience with component-based system design and microservices Contributions to open-source projects or broader technical communities What we offer you We're building something extraordinary and we want extraordinary people. Our benefits package goes beyond the standard startup offering from tailored support for life's challenges (IVF, gender-affirming care, ADHD diagnosis, and more), to meaningful parental leave. £100,000-160,000 salary per annum + meaningful equity (on a standard vesting schedule) Enhanced Pension Contributions - 5% Unlimited annual leave £100 monthly well-being budget Tailored support for exceptional challenges. This looks different for everyone, but can include contributions to: Gender-affirming care Private specialist and scans for an injury ADHD / Autism diagnosis IVF Therapy Enhanced Parental Leave 14 weeks full pay (followed by standard statutory pay) for primary caregiver 6 weeks full pay for secondary caregiver Electric Car Scheme (salary sacrifice) £1000 annual training budget The process Submit your CV, along with answers to the handful of questions we ask of every candidate A call with our CTO to explore the initial fit A live task and competency interview An in person culture fit interview with a range of people across the business, including the 2 founders Alternatively we offer a paid-for one-week trial for candidates who are available for the setup
Mar 04, 2026
Full time
About Us: Fifth Dimension is bringing vibe working to document-heavy industries . Today we work with real estate businesses in the US, EU and APAC, automating complex tasks, extracting valuable insights from documents, and empowering professionals to focus on high-impact work. Our AI workspace transforms how large investment managers and developers handle leases, development documents, and investment decisions. We're a London and New York based startup with an ample runway, backed by Tier 1 European and American investors. Our founders, Johnny Morris and Dr. Kate Jarvis bring a powerful blend of expertise (and spice ️): Johnny has 17+ years applying data and analytics to Real Estate, while Kate holds a Stanford PhD and 12 years of executive experience across Silicon Valley and London startups. At Fifth Dimension, we're demanding yet encouraging, valuing experimentation and kind challenges. Our company values, Own It, Ship It, and Don't Be Boring, drive us to deliver exceptional results while fostering a culture of innovation and continuous improvement. The Challenge It's 9 AM on a Monday. Using Claude Code, you've just implemented a new extraction pipeline that transforms how property leases are analyzed. By noon, a major real estate firm emails: "This just saved us 40 hours of work." By Thursday, you're troubleshooting with their development team as they integrate your APIs into their enterprise document management system. By Friday, you're celebrating with the team as data flows seamlessly between platforms, unlocking new capabilities for real estate investors that will help them make faster, more informed decisions across their portfolios. About You You're an expert software engineer who's witnessed the transformative power of AI and wants to apply it to solve real business problems. You don't just code you architect solutions that make users say "How did we ever work without this?" You've developed exceptional engineering and architectural skills through years of practice. You stay current with AI advances and can identify the right approach for each unique challenge. Your experience implementing AI in business contexts has taught you that the magic isn't in the model it's in understanding the problem deeply. You're proficient with AI coding assistance tools like Claude Code, leveraging them to accelerate development and focus on higher-level architectural challenges. You understand that modern engineering means effectively collaborating with AI to maximise your productivity and creative potential. Details don't escape you. You're comfortable diving into complex documents and intricate code to build a complete picture. As someone who thrives in fast-paced environments, you adapt quickly and mentor other engineers while collaborating effectively with commercial teams and customers. You're passionate about your personal growth and see each complex problem as an opportunity to expand your capabilities. You actively seek challenges that push the boundaries of what's possible and value environments where you can both contribute your expertise and continue to evolve as an engineer. Your Impact Reporting to our CTO Chen, you'll architect and implement innovative AI technology to meet our enterprise customers' unique needs. Working closely with our skilled engineering team, you'll design scalable AI solutions that deliver tangible value and expand the capabilities of our generative AI platform. You'll own the complete lifecycle of core product capabilities from initial customer conversations through architecture, implementation, deployment, and customer adoption. Day to Day, You Will Think like a Product Manager+: Own core product components while balancing technical excellence with business impact Own end-to-end delivery of complex features from initial concept to production deployment and customer adoption Collaborate with product and commercial teams to understand customer needs and translate them into robust technical solutions Leverage AI coding tools like Claude Code to accelerate development workflows Lead development of features solving our customers' most complex challenges: Advanced data extraction systems for processing property leases at scale Sophisticated workflow automation for analyzing planning documents and drafting advice Multi-step agentic content generation for creating market research reports Implement data privacy and security by design Stay ahead of relevant research and technologies Mentor other engineers and help establish engineering best practices Invest in your own growth by taking on ambitious technical challenges and expanding your expertise Apply our engineering philosophy: intellectual honesty, effective time management, clear communication, and innovation Our Values and Engineering Culture At 5D, we embody three core principles: Own it, Ship it, and Don't be boring. Our engineering team values: Product-Minded Engineering: Understanding the "why" behind features and using technical expertise to inform product decisions Intellectual Honesty: Backing discussions with data and acknowledging knowledge gaps Effective Time Management: Setting clear timebox and abandoning approaches that aren't working Clear Communication: Writing self-documenting code and providing detailed explanations Innovation Mindset: Forming well-reasoned opinions backed by data and continuously learning Personal Growth: Supporting your development through challenging work and opportunities to expand your expertise Intellectual Curiosity and Honesty in Action: An Example Here's an example of how we work: Early in our journey with AI, one of our engineers discovered that certain words like "concise" or "creative" had disproportionate effects on model outputs we called them "demon words." Rather than accepting this as an immutable quirk, they spent a week methodically tracking down every instance in our codebase, testing alternatives, and documenting the patterns they found. This intellectual curiosity to understand the "why" behind technical oddities, combined with the honesty to admit what we didn't yet understand, led to significant improvements in our product's reliability. At 5D, we value this combination of curiosity and honesty above all the willingness to dive deep into unexpected behaviors and openly share both successes and failures with the team. What We're Looking For Experience in high-growth startups or fast-paced tech environments Track record building software in organizations with excellent engineering practices History of owning end-to-end product development, from definition to delivery and customer adoption Strong Python skills with a track record of shipping customer-facing features on critical paths Experience building and maintaining high-quality APIs and integrations Proficiency with AI coding assistance tools (Cursor, GitHub Copilot, Claude Code) Intellectual curiosity and honesty digging deep into problems and sharing findings openly Proven ability to make technical decisions that balance immediate user needs with long-term architecture Exceptional communication abilities for explaining complex concepts to diverse audiences Ambition and resilience we're a seed-stage company tackling ambitious challenges Commercial awareness delivering continuous value to customers is essential Passion for personal growth and continuous learning Nice to Have (But Not Required) Past experience in real estate, law, or finance Background with robust software testing and deployment practices Experience with component-based system design and microservices Contributions to open-source projects or broader technical communities What we offer you We're building something extraordinary and we want extraordinary people. Our benefits package goes beyond the standard startup offering from tailored support for life's challenges (IVF, gender-affirming care, ADHD diagnosis, and more), to meaningful parental leave. £100,000-160,000 salary per annum + meaningful equity (on a standard vesting schedule) Enhanced Pension Contributions - 5% Unlimited annual leave £100 monthly well-being budget Tailored support for exceptional challenges. This looks different for everyone, but can include contributions to: Gender-affirming care Private specialist and scans for an injury ADHD / Autism diagnosis IVF Therapy Enhanced Parental Leave 14 weeks full pay (followed by standard statutory pay) for primary caregiver 6 weeks full pay for secondary caregiver Electric Car Scheme (salary sacrifice) £1000 annual training budget The process Submit your CV, along with answers to the handful of questions we ask of every candidate A call with our CTO to explore the initial fit A live task and competency interview An in person culture fit interview with a range of people across the business, including the 2 founders Alternatively we offer a paid-for one-week trial for candidates who are available for the setup
London or Birmingham - Part Time and Full Time Roles - 6 month FTC An excellent opportunity to join a leading international Professional Services firm within the Corporate Communications function, supporting the ongoing development and governance of a global intranet platform built on SharePoint Online. This role will work closely with content editors and business stakeholders across the firm to ensure high-quality, trusted content is maintained and accessible globally. The position offers strong exposure to content lifecycle management, governance, analytics and intranet optimisation within a complex professional services environment. Role Support the development, maintenance and governance of intranet content across practice and business teams Manage and resolve day-to-day intranet support requests Assist with content audits, reporting, analysis and lifecycle management Provide guidance to content owners and editors on best practice and quality standards Support content migration, mapping and retagging activity where required Assist with troubleshooting, testing and issue resolution alongside IT and internal teams Contribute to training materials, user guidance and intranet communications Identify opportunities for continuous improvement and intranet optimisation Candidate Requirements Ideally Professional Services, Law Firm or Accountancy Firm background Experience working with SharePoint Online Experience of intranet content lifecycle management and governance Strong understanding of taxonomy, classification and information architecture Confident supporting users with technology systems High level of IT literacy, including MS 365 and Excel Legal or professional services experience advantageous There are multiple roles available across both London and Birmingham. They are 6 month FTC positions and part time roles are available. Hybrid working and salary up to 58,000 Please attach your CV. If you do not hear back within one week, please assume you have been unsuccessful. Unfortunately, due to the high volume of applications, individual feedback cannot be provided. Intranet Analyst SharePoint Online Content Governance Information Architecture MS 365 Corporate Communications Legal Technology
Mar 03, 2026
Full time
London or Birmingham - Part Time and Full Time Roles - 6 month FTC An excellent opportunity to join a leading international Professional Services firm within the Corporate Communications function, supporting the ongoing development and governance of a global intranet platform built on SharePoint Online. This role will work closely with content editors and business stakeholders across the firm to ensure high-quality, trusted content is maintained and accessible globally. The position offers strong exposure to content lifecycle management, governance, analytics and intranet optimisation within a complex professional services environment. Role Support the development, maintenance and governance of intranet content across practice and business teams Manage and resolve day-to-day intranet support requests Assist with content audits, reporting, analysis and lifecycle management Provide guidance to content owners and editors on best practice and quality standards Support content migration, mapping and retagging activity where required Assist with troubleshooting, testing and issue resolution alongside IT and internal teams Contribute to training materials, user guidance and intranet communications Identify opportunities for continuous improvement and intranet optimisation Candidate Requirements Ideally Professional Services, Law Firm or Accountancy Firm background Experience working with SharePoint Online Experience of intranet content lifecycle management and governance Strong understanding of taxonomy, classification and information architecture Confident supporting users with technology systems High level of IT literacy, including MS 365 and Excel Legal or professional services experience advantageous There are multiple roles available across both London and Birmingham. They are 6 month FTC positions and part time roles are available. Hybrid working and salary up to 58,000 Please attach your CV. If you do not hear back within one week, please assume you have been unsuccessful. Unfortunately, due to the high volume of applications, individual feedback cannot be provided. Intranet Analyst SharePoint Online Content Governance Information Architecture MS 365 Corporate Communications Legal Technology
Senior Microsoft 365 Developer is required by fast growing and highly successful global organisation. This is a new opportunity within their experienced, dynamic IT team. Purpose : Senior Microsoft 365 Developer will lead and innovate in the creation, customisation, and optimisation of Microsoft 365 and SharePoint solutions that drive business productivity and enhance user experience. This role involves architecting and developing applications and integrations within the Microsoft 365 ecosystem, including Power Platform and Azure integrations, while providing technical leadership and strategic guidance to projects and teams. Role Responsibilities: Manage, configure, and develop within Office 365 environments, utilising a range of Office 365 applications for document management and collaboration. Design and develop applications using Power Apps (Canvas Apps), Power Automate, and Power BI to create integrated solutions that support business needs. Knowledge of development using the Microsoft Graph API enhancing interconnectivity across applications. Develop, customise, and manage Modern SharePoint sites, including site pages, web parts, and site templates to enhance user experience and productivity. Implement Front End solutions utilising SPFx, PnP, and frameworks like JavaScript, TypeScript, and .NET Core for dynamic user experiences and functionality. Integrate Office 365 applications with third-party and cloud services using APIs, JSON, and CSOM, ensuring seamless data flow and application interoperability. Build Azure-based solutions integrated with Office 365, leveraging Azure Logic Apps, Function Apps, and other Azure services, with programming in JavaScript, C#, and PowerShell. Practical Office 365 product experience - configuring, administration, development and deploying solutions using the full range of Office 365 apps for document management and collaboration. Knowledge of SharePoint Online, OneDrive, Microsoft Teams. Apply practical knowledge of SharePoint Online and associated Services (Search Service, User Profile Service, Compliance Centre, Security Centre, Content and Document Management Principles). Apply practical knowledge in the use of PowerShell to automate deployments and perform maintenance tasks Experience of undertaking Office 365 BAU Admin activities. Implement robust security practices when working with Office365, Power Platform and Azure. Demonstrate strong interpersonal skills with an ability to communicate complex technical concepts effectively to clients and stakeholders. Capable of working autonomously, remotely, or collaboratively within diverse team environments. Prioritise, plan, and multitask effectively within deadlines and budget constraints, applying project management principles where required and ability to work within a project team. Experience working on projects, taking requirements, generating designs, and implementing a final solution. Strong understanding of Application Lifecycle Management when working with Power Platform and Office365 Solutions. Maintain up-to-date skills, learn new technologies as needed, and proactively identify and implement effective solutions for business requirements. Qualifications/Skills/Experience: Knowledge of Azure Servers, Web Applications, Storage Solutions, Data Solutions, Machine Learning Solutions and Networking Knowledge of Web Design/Development using HTML, CSS and Adobe Creative Cloud suite of product Knowledge of Azure SQL Database implementation and development with Azure Data Factory Excellent training and career development opportunities exist for the right candidate. Location: Essex/Hybrid Basic salary £80-100,000 + excellent benefits.
Mar 03, 2026
Full time
Senior Microsoft 365 Developer is required by fast growing and highly successful global organisation. This is a new opportunity within their experienced, dynamic IT team. Purpose : Senior Microsoft 365 Developer will lead and innovate in the creation, customisation, and optimisation of Microsoft 365 and SharePoint solutions that drive business productivity and enhance user experience. This role involves architecting and developing applications and integrations within the Microsoft 365 ecosystem, including Power Platform and Azure integrations, while providing technical leadership and strategic guidance to projects and teams. Role Responsibilities: Manage, configure, and develop within Office 365 environments, utilising a range of Office 365 applications for document management and collaboration. Design and develop applications using Power Apps (Canvas Apps), Power Automate, and Power BI to create integrated solutions that support business needs. Knowledge of development using the Microsoft Graph API enhancing interconnectivity across applications. Develop, customise, and manage Modern SharePoint sites, including site pages, web parts, and site templates to enhance user experience and productivity. Implement Front End solutions utilising SPFx, PnP, and frameworks like JavaScript, TypeScript, and .NET Core for dynamic user experiences and functionality. Integrate Office 365 applications with third-party and cloud services using APIs, JSON, and CSOM, ensuring seamless data flow and application interoperability. Build Azure-based solutions integrated with Office 365, leveraging Azure Logic Apps, Function Apps, and other Azure services, with programming in JavaScript, C#, and PowerShell. Practical Office 365 product experience - configuring, administration, development and deploying solutions using the full range of Office 365 apps for document management and collaboration. Knowledge of SharePoint Online, OneDrive, Microsoft Teams. Apply practical knowledge of SharePoint Online and associated Services (Search Service, User Profile Service, Compliance Centre, Security Centre, Content and Document Management Principles). Apply practical knowledge in the use of PowerShell to automate deployments and perform maintenance tasks Experience of undertaking Office 365 BAU Admin activities. Implement robust security practices when working with Office365, Power Platform and Azure. Demonstrate strong interpersonal skills with an ability to communicate complex technical concepts effectively to clients and stakeholders. Capable of working autonomously, remotely, or collaboratively within diverse team environments. Prioritise, plan, and multitask effectively within deadlines and budget constraints, applying project management principles where required and ability to work within a project team. Experience working on projects, taking requirements, generating designs, and implementing a final solution. Strong understanding of Application Lifecycle Management when working with Power Platform and Office365 Solutions. Maintain up-to-date skills, learn new technologies as needed, and proactively identify and implement effective solutions for business requirements. Qualifications/Skills/Experience: Knowledge of Azure Servers, Web Applications, Storage Solutions, Data Solutions, Machine Learning Solutions and Networking Knowledge of Web Design/Development using HTML, CSS and Adobe Creative Cloud suite of product Knowledge of Azure SQL Database implementation and development with Azure Data Factory Excellent training and career development opportunities exist for the right candidate. Location: Essex/Hybrid Basic salary £80-100,000 + excellent benefits.
Human Centred Design - Content Designer Position Description CGI is helping organisations design digital services that are clear, inclusive, and built around real user needs. As a Content Designer within our HCD team, you will play a key role in transforming complex services into intuitive, meaningful user journeys that deliver measurable impact. Working at the intersection of strategy, design, and delivery, you will influence how content shapes experiences at scale. At CGI, you are trusted to own outcomes, encouraged to bring creativity to problem-solving, and supported by a collaborative environment where your expertise helps create lasting value for clients, users, and communities. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the design of clear, accessible, and evidence-based content that enables users to navigate complex services with confidence. You will shape content strategies, governance, and standards, working closely with multidisciplinary teams and clients to ensure content supports both user needs and business objectives. By influencing design decisions and engaging senior stakeholders, you will help embed best practice and sustainable content approaches. You will also contribute to building content design capability across CGI by mentoring others, championing inclusive design, and sharing knowledge within the SPARCK community. Supported by a collaborative culture, you will have the freedom to experiment, refine ideas, and drive meaningful change. Key responsibilities include: Lead & Innovate: Shape content strategy, governance, and tone of voice Develop & Deliver: Create clear, engaging, and accessible content Optimise & Improve: Use research, data, and information architecture to simplify journeys Collaborate & Influence: Work with designers, researchers, and stakeholders end to end Guide & Support: Mentor junior designers and build team capability Champion & Advocate: Promote inclusive, human-centred design practices Required qualifications to be successful in this role You will bring strong experience in content design and strategy, with the confidence to lead, collaborate, and influence across complex environments. You are passionate about inclusive design and continuous improvement, using evidence to inform decisions and deliver high-quality outcomes. Essential qualifications and experience: Extensive experience in content design, strategy, and governance Proven ability to design accessible content Strong use of research, data, and prototyping to inform content decisions Excellent stakeholder engagement, facilitation, and influencing skills Experience mentoring and supporting junior designers Proficiency with tools such as Figma and content management systems Desirable experience: Knowledge of GDS or NHS content and style guidelines Consulting experience or work across public and private sectors Familiarity with Agile delivery environments Understanding of SEO best practice Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Mar 03, 2026
Full time
Human Centred Design - Content Designer Position Description CGI is helping organisations design digital services that are clear, inclusive, and built around real user needs. As a Content Designer within our HCD team, you will play a key role in transforming complex services into intuitive, meaningful user journeys that deliver measurable impact. Working at the intersection of strategy, design, and delivery, you will influence how content shapes experiences at scale. At CGI, you are trusted to own outcomes, encouraged to bring creativity to problem-solving, and supported by a collaborative environment where your expertise helps create lasting value for clients, users, and communities. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the design of clear, accessible, and evidence-based content that enables users to navigate complex services with confidence. You will shape content strategies, governance, and standards, working closely with multidisciplinary teams and clients to ensure content supports both user needs and business objectives. By influencing design decisions and engaging senior stakeholders, you will help embed best practice and sustainable content approaches. You will also contribute to building content design capability across CGI by mentoring others, championing inclusive design, and sharing knowledge within the SPARCK community. Supported by a collaborative culture, you will have the freedom to experiment, refine ideas, and drive meaningful change. Key responsibilities include: Lead & Innovate: Shape content strategy, governance, and tone of voice Develop & Deliver: Create clear, engaging, and accessible content Optimise & Improve: Use research, data, and information architecture to simplify journeys Collaborate & Influence: Work with designers, researchers, and stakeholders end to end Guide & Support: Mentor junior designers and build team capability Champion & Advocate: Promote inclusive, human-centred design practices Required qualifications to be successful in this role You will bring strong experience in content design and strategy, with the confidence to lead, collaborate, and influence across complex environments. You are passionate about inclusive design and continuous improvement, using evidence to inform decisions and deliver high-quality outcomes. Essential qualifications and experience: Extensive experience in content design, strategy, and governance Proven ability to design accessible content Strong use of research, data, and prototyping to inform content decisions Excellent stakeholder engagement, facilitation, and influencing skills Experience mentoring and supporting junior designers Proficiency with tools such as Figma and content management systems Desirable experience: Knowledge of GDS or NHS content and style guidelines Consulting experience or work across public and private sectors Familiarity with Agile delivery environments Understanding of SEO best practice Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Analytics Manager Department: SC CENTRAL OPERATIONS City: London Location: GB INTRODUCTION JOB PURPOSE Burberry is looking for a talented Analytics Manager to join the Operations & Supply Chain team. In this position you will lead a high performing analytics team to deliver scalable insights that support strategic decision making across Burberry's Product and Supply Chain teams. You will translate complex supply chain data into clear stories and decisions that improve product quality, supplier performance and sustainability outcomes, while owning the roadmap for supply chain analytics, dashboards and executive storytelling with a strong focus on Power BI and close cross functional partnership. RESPONSIBILITIES Strategic Target Setting & Performance Review Partner with Product & Supply Chain Leads to establish a clear rhythm of reporting against annual performance objectives, leading monthly reviews of results versus targets, analysing drivers of variance, and delivering executive level insights and recommendations that drive continuous performance improvement through consistent KPIs, dashboards and performance reviews across functions and regions. Shape and execute the Product & Supply Chain analytics strategy, prioritising initiatives that materially move key KPIs, co creating insights with Sourcing, Customer Fulfilment, ESG and Finance to solve real operational problems, and leading well governed, cross functional analytics programmes that are embedded into business routines. Data Strategy, BI and Governance Partner with central Data & IT teams to adopt best practices across Product & Supply Chain, acting as steward for key datasets (e.g. vendor master, material, production, logistics, incidents) and championing data quality, documentation and consistent definitions across systems. Collaborate with data, engineering and IT teams to influence the design of scalable data models, pipelines and architectures, ensuring reliable and timely access to insights, and driving best practice Power BI deployment across the Product & Supply Chain portfolio (modelling, DAX, performance and visual standards). Deliver high impact insights and innovation, releasing pivotal quarterly reports (e.g. Vendor Performance Report) that drive root cause analysis and continuous improvement, while exploring and scaling advanced analytics and AI use cases where they deliver clear business value. Stakeholder Partnership & Executive Advisory Design, build and continuously improve vendor and supplier scorecards across service, quality, risk, cost and sustainability, delivering robust, audit ready deep dives on supplier performance, returns and damages, and ESG compliance, and turning insights into clear, actionable recommendations. Serve as a trusted thought partner to senior supply chain leaders, shaping agendas and content for key forums with a clear, data led point of view, and partnering with appropriate teams to ensure insights translate into meaningful action. People Leadership & Capability Building Inspire, develop and manage a high performing analytics team, setting clear objectives, driving professional growth and fostering an inclusive culture that champions engagement, diversity and well being, while addressing underperformance promptly and creating pathways for emerging talent. Elevate data literacy across Product & Supply Chain teams by designing targeted training, playbooks and "lunch & learn" sessions that make dashboards and analytics tools easy to understand, engage with and act upon. PERSONAL PROFILE Bachelor's or Master's degree in a quantitative field (e.g. Engineering, Computer Science, Mathematics, Economics, Supply Chain or related), with proven experience in analytics, data science or BI roles within supply chain, manufacturing or operations. Demonstrated expertise in data analysis and modelling, with SQL required and Python/R advantageous, alongside advanced proficiency in Power BI (data modelling, DAX, visualisation and dashboard design); experience with Tableau, Looker or similar BI tools is a plus. Proven ability to turn complex, ambiguous problems into structured analyses and clear recommendations, supported by strong communication and storytelling skills that influence senior stakeholders and engage non technical audiences. Strong leadership and delivery capability, including experience leading analysts or cross functional programmes, excellent organisational skills, attention to detail, and the ability to manage multiple workstreams in a fast paced environment. Preferred Qualifications Experience in fashion, luxury, consumer goods or complex global manufacturing environments. Familiarity with SAP (e.g. S/4HANA), PLM and other core supply chain systems and their integration into analytics solutions. Experience with supply chain technologies. FOOTER Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience. Job Segment: Logistics, Supply Chain Manager, Supply Chain, Supply, Computer Science, Operations, Technology
Mar 03, 2026
Full time
Analytics Manager Department: SC CENTRAL OPERATIONS City: London Location: GB INTRODUCTION JOB PURPOSE Burberry is looking for a talented Analytics Manager to join the Operations & Supply Chain team. In this position you will lead a high performing analytics team to deliver scalable insights that support strategic decision making across Burberry's Product and Supply Chain teams. You will translate complex supply chain data into clear stories and decisions that improve product quality, supplier performance and sustainability outcomes, while owning the roadmap for supply chain analytics, dashboards and executive storytelling with a strong focus on Power BI and close cross functional partnership. RESPONSIBILITIES Strategic Target Setting & Performance Review Partner with Product & Supply Chain Leads to establish a clear rhythm of reporting against annual performance objectives, leading monthly reviews of results versus targets, analysing drivers of variance, and delivering executive level insights and recommendations that drive continuous performance improvement through consistent KPIs, dashboards and performance reviews across functions and regions. Shape and execute the Product & Supply Chain analytics strategy, prioritising initiatives that materially move key KPIs, co creating insights with Sourcing, Customer Fulfilment, ESG and Finance to solve real operational problems, and leading well governed, cross functional analytics programmes that are embedded into business routines. Data Strategy, BI and Governance Partner with central Data & IT teams to adopt best practices across Product & Supply Chain, acting as steward for key datasets (e.g. vendor master, material, production, logistics, incidents) and championing data quality, documentation and consistent definitions across systems. Collaborate with data, engineering and IT teams to influence the design of scalable data models, pipelines and architectures, ensuring reliable and timely access to insights, and driving best practice Power BI deployment across the Product & Supply Chain portfolio (modelling, DAX, performance and visual standards). Deliver high impact insights and innovation, releasing pivotal quarterly reports (e.g. Vendor Performance Report) that drive root cause analysis and continuous improvement, while exploring and scaling advanced analytics and AI use cases where they deliver clear business value. Stakeholder Partnership & Executive Advisory Design, build and continuously improve vendor and supplier scorecards across service, quality, risk, cost and sustainability, delivering robust, audit ready deep dives on supplier performance, returns and damages, and ESG compliance, and turning insights into clear, actionable recommendations. Serve as a trusted thought partner to senior supply chain leaders, shaping agendas and content for key forums with a clear, data led point of view, and partnering with appropriate teams to ensure insights translate into meaningful action. People Leadership & Capability Building Inspire, develop and manage a high performing analytics team, setting clear objectives, driving professional growth and fostering an inclusive culture that champions engagement, diversity and well being, while addressing underperformance promptly and creating pathways for emerging talent. Elevate data literacy across Product & Supply Chain teams by designing targeted training, playbooks and "lunch & learn" sessions that make dashboards and analytics tools easy to understand, engage with and act upon. PERSONAL PROFILE Bachelor's or Master's degree in a quantitative field (e.g. Engineering, Computer Science, Mathematics, Economics, Supply Chain or related), with proven experience in analytics, data science or BI roles within supply chain, manufacturing or operations. Demonstrated expertise in data analysis and modelling, with SQL required and Python/R advantageous, alongside advanced proficiency in Power BI (data modelling, DAX, visualisation and dashboard design); experience with Tableau, Looker or similar BI tools is a plus. Proven ability to turn complex, ambiguous problems into structured analyses and clear recommendations, supported by strong communication and storytelling skills that influence senior stakeholders and engage non technical audiences. Strong leadership and delivery capability, including experience leading analysts or cross functional programmes, excellent organisational skills, attention to detail, and the ability to manage multiple workstreams in a fast paced environment. Preferred Qualifications Experience in fashion, luxury, consumer goods or complex global manufacturing environments. Familiarity with SAP (e.g. S/4HANA), PLM and other core supply chain systems and their integration into analytics solutions. Experience with supply chain technologies. FOOTER Burberry is an Equal Opportunities Employer and as such, treats all applications equally and recruits purely on the basis of skills and experience. Job Segment: Logistics, Supply Chain Manager, Supply Chain, Supply, Computer Science, Operations, Technology
Description Engine by Starling , was born out of Starling : the UK's first and leading digital bank. Today, Starling delivers intuitive, customer-centric tools to help over 4.6 million people and small businesses to be 'good with money'. We believe that great technology has the ability to empower customers to save, spend and manage their money in a new and transformative way. Engine is on a mission to promote this philosophy around the world. Engine is a cloud-native, bank-built SaaS platform. We provide a comprehensive and cloud-native solution to power banks around the world, who share our ambition of building businesses designed to evolve, innovate, and meet growing customer demands. The SaaS technology platform is now available to banks, building societies and credit unions around the world, enabling them to benefit from the modern digital features and efficient back-office processes that has helped Starling to achieve its success. At Engine, we follow five guiding principles: listen, keep it simple, do the right thing, own it, and aim for greatness. Having launched in 2022, we are a rapidly-growing organisation who adopts the same agile mindset as our technology. As such, we embrace change, the reimagination of processes and have cultivated an environment where our colleagues - and partners - can design, build and collaborate openly, with a strong degree of ownership and empowerment to get things done. Hybrid Working Engine is headquartered in London, with offices in Dublin, Sydney, Dubai, Toronto and New York. This role will be based in London. We have a hybrid approach to working at Engine - our preference is that you're located within a commutable distance of London (Liverpool Street) to enable in-person collaboration and interaction with your team. About the Role We are seeking an experienced Marketing and Communications Director to lead our global marketing function as we enter our next phase of growth. You will be the architect of Engine's global positioning and reputation, translating our best-in-class digital banking blueprint into a compelling proposition for financial institutions around the world. Reporting into the executive team, you will own the global marketing strategy across brand, digital, communications and demand-driving activity. You will lead a central marketing strategy and operations team and design/content studio while building and overseeing regional marketing capability in priority markets including the US, Europe, Middle East and ANZ. This is a high-impact role for a senior marketing leader who thrives in fast-moving, scaling environments and can operate seamlessly across brand building, digital channels, communications, PR and close collaboration with commercial and sales leadership. Global Marketing Strategy and Leadership Execute a clear global marketing strategy aligned to Engine's commercial goals and long-term growth ambitions. Evolve Engine's positioning from "SaaS provider" to "essential digital banking operating system" ensuring we are the undisputed first choice for transformation programmes. Lead and develop a high-performing central marketing team covering marketing operations, brand, digital, content and design. Build and scale regional marketing teams in priority markets, ensuring consistency of brand and messaging while enabling local market impact. Brand, Positioning and Communications Own Engine's global brand strategy, ensuring a strong, differentiated position in the core banking SaaS market. Maintain standards of excellence and ensure the Engine brand commands respect from C-suite stakeholders at banks. Lead Engine's corporate communications, PR and thought leadership activity, working closely with the Starling Group Corporate Affairs team and external agencies. Act as a senior brand guardian, ensuring consistency across all touchpoints and channels. Digital, Demand and Growth Oversee the digital ecosystem from the website and targeted and high-intent SEO, to social through LinkedIn and flagship events measuring all activity for efficiency and effectiveness. Partner closely with commercial and sales leadership to support pipeline generation, build account based marketing (ABM) campaigns targeting the right financial institutions. Develop engagement with analysts to position Engine as a trusted technology leader Use data and insight to continuously optimise performance, and engagement. Track results, attribution and provide leadership with clear ROI. Collaboration and Influence Work closely with Product, Sales, Commercial and Executive teams to ensure marketing supports product strategy and go-to-market priorities. Serve as a senior marketing voice internally, influencing decision-making and representing marketing at executive level. Manage external partners and agencies to deliver high-quality, scalable output. Requirements 10+ years' experience in senior marketing roles, ideally within B2B SaaS, core banking, digital banking or fintech environments. Strong background across marketing, communications and corporate affairs / PR, with the ability to balance brand and performance. Proven experience leading and scaling teams in fast-growth, international businesses. Demonstrated success building and managing global marketing strategies across multiple regions. Deep understanding of digital marketing channels and modern marketing operations. Commercially astute, with a track record of close collaboration with sales and revenue teams. Confident leader with excellent stakeholder management, communication and storytelling skills. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial video interview with Engine's Chief Commercial Officer (45 minutes) A secondary, deeper interview, members of the Starling Marketing team including CMO (60 minutes) Final interview with Engine's CEO (45 minutes) Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Mar 03, 2026
Full time
Description Engine by Starling , was born out of Starling : the UK's first and leading digital bank. Today, Starling delivers intuitive, customer-centric tools to help over 4.6 million people and small businesses to be 'good with money'. We believe that great technology has the ability to empower customers to save, spend and manage their money in a new and transformative way. Engine is on a mission to promote this philosophy around the world. Engine is a cloud-native, bank-built SaaS platform. We provide a comprehensive and cloud-native solution to power banks around the world, who share our ambition of building businesses designed to evolve, innovate, and meet growing customer demands. The SaaS technology platform is now available to banks, building societies and credit unions around the world, enabling them to benefit from the modern digital features and efficient back-office processes that has helped Starling to achieve its success. At Engine, we follow five guiding principles: listen, keep it simple, do the right thing, own it, and aim for greatness. Having launched in 2022, we are a rapidly-growing organisation who adopts the same agile mindset as our technology. As such, we embrace change, the reimagination of processes and have cultivated an environment where our colleagues - and partners - can design, build and collaborate openly, with a strong degree of ownership and empowerment to get things done. Hybrid Working Engine is headquartered in London, with offices in Dublin, Sydney, Dubai, Toronto and New York. This role will be based in London. We have a hybrid approach to working at Engine - our preference is that you're located within a commutable distance of London (Liverpool Street) to enable in-person collaboration and interaction with your team. About the Role We are seeking an experienced Marketing and Communications Director to lead our global marketing function as we enter our next phase of growth. You will be the architect of Engine's global positioning and reputation, translating our best-in-class digital banking blueprint into a compelling proposition for financial institutions around the world. Reporting into the executive team, you will own the global marketing strategy across brand, digital, communications and demand-driving activity. You will lead a central marketing strategy and operations team and design/content studio while building and overseeing regional marketing capability in priority markets including the US, Europe, Middle East and ANZ. This is a high-impact role for a senior marketing leader who thrives in fast-moving, scaling environments and can operate seamlessly across brand building, digital channels, communications, PR and close collaboration with commercial and sales leadership. Global Marketing Strategy and Leadership Execute a clear global marketing strategy aligned to Engine's commercial goals and long-term growth ambitions. Evolve Engine's positioning from "SaaS provider" to "essential digital banking operating system" ensuring we are the undisputed first choice for transformation programmes. Lead and develop a high-performing central marketing team covering marketing operations, brand, digital, content and design. Build and scale regional marketing teams in priority markets, ensuring consistency of brand and messaging while enabling local market impact. Brand, Positioning and Communications Own Engine's global brand strategy, ensuring a strong, differentiated position in the core banking SaaS market. Maintain standards of excellence and ensure the Engine brand commands respect from C-suite stakeholders at banks. Lead Engine's corporate communications, PR and thought leadership activity, working closely with the Starling Group Corporate Affairs team and external agencies. Act as a senior brand guardian, ensuring consistency across all touchpoints and channels. Digital, Demand and Growth Oversee the digital ecosystem from the website and targeted and high-intent SEO, to social through LinkedIn and flagship events measuring all activity for efficiency and effectiveness. Partner closely with commercial and sales leadership to support pipeline generation, build account based marketing (ABM) campaigns targeting the right financial institutions. Develop engagement with analysts to position Engine as a trusted technology leader Use data and insight to continuously optimise performance, and engagement. Track results, attribution and provide leadership with clear ROI. Collaboration and Influence Work closely with Product, Sales, Commercial and Executive teams to ensure marketing supports product strategy and go-to-market priorities. Serve as a senior marketing voice internally, influencing decision-making and representing marketing at executive level. Manage external partners and agencies to deliver high-quality, scalable output. Requirements 10+ years' experience in senior marketing roles, ideally within B2B SaaS, core banking, digital banking or fintech environments. Strong background across marketing, communications and corporate affairs / PR, with the ability to balance brand and performance. Proven experience leading and scaling teams in fast-growth, international businesses. Demonstrated success building and managing global marketing strategies across multiple regions. Deep understanding of digital marketing channels and modern marketing operations. Commercially astute, with a track record of close collaboration with sales and revenue teams. Confident leader with excellent stakeholder management, communication and storytelling skills. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial video interview with Engine's Chief Commercial Officer (45 minutes) A secondary, deeper interview, members of the Starling Marketing team including CMO (60 minutes) Final interview with Engine's CEO (45 minutes) Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information, and the rights you can exercise over our use of your personal information.
Pre-Sales Transition Manager Position Description At CGI, we deliver complex transformation programmes that create measurable outcomes for our clients, and successful transitions are critical to that impact. As our Pre-sales Transition Manager, you will shape how we mobilise new services, ensuring every proposed transition is credible, deliverable, risk-aware, and commercially sound. Working at the heart of our bid activity, you will translate client ambition into structured, executable plans that set projects up for long-term success. You will take ownership of high-profile opportunities, apply creative thinking to complex challenges, and collaborate across our organisation to turn strategy into reality-empowered by a culture that supports your expertise and values your contribution. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the development of robust transition approaches during pre-sales and bid phases, ensuring solutions are realistic, risk-aware, and commercially viable. You will translate client requirements into structured transition plans that reflect delivery realities, sequencing, governance, and cost considerations-creating a clear pathway from contract award to successful mobilisation. You will work closely with solution owners, architects, commercial teams, and delivery SMEs, confidently challenging assumptions where risk or cost exposure may arise. By applying your hands-on transition experience, you will identify risks early, shape mitigations into the solution design, and ensure alignment between client expectations and operational capability. You will also play a visible role in articulating the transition strategy-producing high-quality written bid responses and confidently presenting transition approaches to internal stakeholders and clients. From first bid discussion to handover, you will take ownership of the transition narrative and ensure delivery teams are set up for success from Day 1. Key responsibilities: Lead & Shape the end-to-end transition approach within pre-sales and bid activity Design & Structure executable, risk-aware transition plans aligned to CGI delivery principles Collaborate & Influence bid teams, architects, commercial partners, and delivery SMEs Identify & Mitigate transition risks early, embedding mitigation into solution design and pricing Validate & Challenge cost, effort, and timeline assumptions to protect margin and delivery integrity Produce & Present clear, compelling written bid responses and transition presentations Engage & Communicate complex transition strategies confidently to clients and senior stakeholders Improve & Evolve reusable transition assets, lessons learned, and bid content Required qualifications to be successful in this role You will bring strong hands-on experience delivering complex transitions within large-scale service environments, alongside exposure to pre-sales or bid activity. You will combine commercial awareness with practical delivery insight, enabling you to design transition solutions that are both client-focused and operationally sound. You will also demonstrate excellent communication skills, with the ability to produce high-quality written content and confidently present to internal and external stakeholders. Essential qualifications and experience: You should have proven experience as a Project Manager or Transition Manager delivering complex service transitions Demonstrable involvement in pre-sales or bid activity, shaping transition components Strong understanding of delivery risk, sequencing, and operational dependencies Commercial awareness, including cost drivers, margin protection, and risk pricing Excellent written communication skills with experience contributing to bid responses Confident presentation skills, with the ability to articulate solutions to clients and senior stakeholders Experience working across multi-disciplinary teams and stakeholder groups Working knowledge of governance frameworks such as BEMF and alignment with delivery principles Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Mar 03, 2026
Full time
Pre-Sales Transition Manager Position Description At CGI, we deliver complex transformation programmes that create measurable outcomes for our clients, and successful transitions are critical to that impact. As our Pre-sales Transition Manager, you will shape how we mobilise new services, ensuring every proposed transition is credible, deliverable, risk-aware, and commercially sound. Working at the heart of our bid activity, you will translate client ambition into structured, executable plans that set projects up for long-term success. You will take ownership of high-profile opportunities, apply creative thinking to complex challenges, and collaborate across our organisation to turn strategy into reality-empowered by a culture that supports your expertise and values your contribution. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Your future duties and responsibilities In this role, you will lead the development of robust transition approaches during pre-sales and bid phases, ensuring solutions are realistic, risk-aware, and commercially viable. You will translate client requirements into structured transition plans that reflect delivery realities, sequencing, governance, and cost considerations-creating a clear pathway from contract award to successful mobilisation. You will work closely with solution owners, architects, commercial teams, and delivery SMEs, confidently challenging assumptions where risk or cost exposure may arise. By applying your hands-on transition experience, you will identify risks early, shape mitigations into the solution design, and ensure alignment between client expectations and operational capability. You will also play a visible role in articulating the transition strategy-producing high-quality written bid responses and confidently presenting transition approaches to internal stakeholders and clients. From first bid discussion to handover, you will take ownership of the transition narrative and ensure delivery teams are set up for success from Day 1. Key responsibilities: Lead & Shape the end-to-end transition approach within pre-sales and bid activity Design & Structure executable, risk-aware transition plans aligned to CGI delivery principles Collaborate & Influence bid teams, architects, commercial partners, and delivery SMEs Identify & Mitigate transition risks early, embedding mitigation into solution design and pricing Validate & Challenge cost, effort, and timeline assumptions to protect margin and delivery integrity Produce & Present clear, compelling written bid responses and transition presentations Engage & Communicate complex transition strategies confidently to clients and senior stakeholders Improve & Evolve reusable transition assets, lessons learned, and bid content Required qualifications to be successful in this role You will bring strong hands-on experience delivering complex transitions within large-scale service environments, alongside exposure to pre-sales or bid activity. You will combine commercial awareness with practical delivery insight, enabling you to design transition solutions that are both client-focused and operationally sound. You will also demonstrate excellent communication skills, with the ability to produce high-quality written content and confidently present to internal and external stakeholders. Essential qualifications and experience: You should have proven experience as a Project Manager or Transition Manager delivering complex service transitions Demonstrable involvement in pre-sales or bid activity, shaping transition components Strong understanding of delivery risk, sequencing, and operational dependencies Commercial awareness, including cost drivers, margin protection, and risk pricing Excellent written communication skills with experience contributing to bid responses Confident presentation skills, with the ability to articulate solutions to clients and senior stakeholders Experience working across multi-disciplinary teams and stakeholder groups Working knowledge of governance frameworks such as BEMF and alignment with delivery principles Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
We're looking for a Customer Success Manager who will partner with our customers to turn data and insights into measurable business impact. In this role, you'll help our customers leverage LinearB's AI Productivity Platform to improve engineering team performance, define clear success metrics, and drive meaningful outcomes. You'll act as a trusted advisor - building strong, long term relationships, aligning on success plans, and guiding teams to maximize the value they gain from our platform. You'll collaborate closely with product, sales, and leadership to ensure customer goals are met, results are tracked, and insights are translated into continuous improvement. Your success will be measured by how effectively you help customers achieve theirs - strengthening retention, growth, and advocacy across your portfolio. What you'll do: Customer Onboarding & Rollouts: Lead successful client rollouts and ensure high product adoption rates by guiding customers through the onboarding and implementation process. Serve as the main point of contact from Sales handoff to post launch success. Portfolio Management: Manage a portfolio of clients with multiple simultaneous rollouts, ensuring each customer receives the attention and support needed to maximize product value. Customer Touchpoints: Schedule and conduct regular check ins with customers to maintain a strong understanding of their needs, ensuring they are satisfied and proactively addressing any issues. Cross functional Collaboration: Work closely with the Customer Solutions Architect and Support team to quickly triage and resolve customer support issues, escalating blockers when necessary to prevent customer churn. Feedback Loop: Gather customer feedback and product requirements to collaborate with Product and Engineering, helping shape the product development roadmap. Best Practices & Strategy: Advise customers on industry best practices, ensuring that their technical setup and ongoing use of the product is optimized for success. Customer Advocacy: Partner with Marketing to create customer case studies, testimonials, and other advocacy content to highlight product value and strengthen customer relationships. Data Driven Success: Use customer data and metrics to guide proactive customer success initiatives, identifying opportunities for expansion and ensuring customers derive continuous value from the product. Requirements: Experience: 3 5 years in a customer facing, technical role for a B2B SaaS product, ideally with experience managing relationships with technical buyers. Technical Aptitude: Strong technical understanding of the Dev Ops space, able to engage with customers on a technical level and translate complex concepts into actionable advice. Customer focused: Proven track record of building and managing customer relationships, including working with senior level executives to ensure client success and satisfaction. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly convey complex technical concepts to both technical and non technical stakeholders. Business Acumen: Strong ability to balance customer needs with business objectives, using data to make informed decisions that drive customer satisfaction and success. Adaptability: Comfortable working in a fast paced, rapidly scaling startup environment, with the ability to wear multiple hats and adapt to evolving needs. Cross functional Collaboration: Ability to work seamlessly with Sales, Product, Technology, and Marketing teams to align on customer needs and deliver comprehensive solutions. Education: BS/MS or equivalent experience in a technical or business related field. If you're passionate about customer success, enjoy working with technical products, and thrive in a dynamic environment, we'd love to talk with you! LinearB Values Put the Customer First Take Ownership One Team Show Product Expertise Be Data Driven Reach for the Next Level Listen Curiously & Speak Courageously LinearB is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. .
Mar 03, 2026
Full time
We're looking for a Customer Success Manager who will partner with our customers to turn data and insights into measurable business impact. In this role, you'll help our customers leverage LinearB's AI Productivity Platform to improve engineering team performance, define clear success metrics, and drive meaningful outcomes. You'll act as a trusted advisor - building strong, long term relationships, aligning on success plans, and guiding teams to maximize the value they gain from our platform. You'll collaborate closely with product, sales, and leadership to ensure customer goals are met, results are tracked, and insights are translated into continuous improvement. Your success will be measured by how effectively you help customers achieve theirs - strengthening retention, growth, and advocacy across your portfolio. What you'll do: Customer Onboarding & Rollouts: Lead successful client rollouts and ensure high product adoption rates by guiding customers through the onboarding and implementation process. Serve as the main point of contact from Sales handoff to post launch success. Portfolio Management: Manage a portfolio of clients with multiple simultaneous rollouts, ensuring each customer receives the attention and support needed to maximize product value. Customer Touchpoints: Schedule and conduct regular check ins with customers to maintain a strong understanding of their needs, ensuring they are satisfied and proactively addressing any issues. Cross functional Collaboration: Work closely with the Customer Solutions Architect and Support team to quickly triage and resolve customer support issues, escalating blockers when necessary to prevent customer churn. Feedback Loop: Gather customer feedback and product requirements to collaborate with Product and Engineering, helping shape the product development roadmap. Best Practices & Strategy: Advise customers on industry best practices, ensuring that their technical setup and ongoing use of the product is optimized for success. Customer Advocacy: Partner with Marketing to create customer case studies, testimonials, and other advocacy content to highlight product value and strengthen customer relationships. Data Driven Success: Use customer data and metrics to guide proactive customer success initiatives, identifying opportunities for expansion and ensuring customers derive continuous value from the product. Requirements: Experience: 3 5 years in a customer facing, technical role for a B2B SaaS product, ideally with experience managing relationships with technical buyers. Technical Aptitude: Strong technical understanding of the Dev Ops space, able to engage with customers on a technical level and translate complex concepts into actionable advice. Customer focused: Proven track record of building and managing customer relationships, including working with senior level executives to ensure client success and satisfaction. Communication Skills: Excellent written and verbal communication skills, with the ability to clearly convey complex technical concepts to both technical and non technical stakeholders. Business Acumen: Strong ability to balance customer needs with business objectives, using data to make informed decisions that drive customer satisfaction and success. Adaptability: Comfortable working in a fast paced, rapidly scaling startup environment, with the ability to wear multiple hats and adapt to evolving needs. Cross functional Collaboration: Ability to work seamlessly with Sales, Product, Technology, and Marketing teams to align on customer needs and deliver comprehensive solutions. Education: BS/MS or equivalent experience in a technical or business related field. If you're passionate about customer success, enjoy working with technical products, and thrive in a dynamic environment, we'd love to talk with you! LinearB Values Put the Customer First Take Ownership One Team Show Product Expertise Be Data Driven Reach for the Next Level Listen Curiously & Speak Courageously LinearB is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. .
Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience's values and ethos are the right fit for you. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents daily. Who You Are TetraScience is hiring an elite engagement leader for key accounts in EMEA. The Engagement Director role concurrently drives activities for renewal numbers and drives overall success of implementation delivery and value realization. There is also a parallel effort to closely collaborate with Account Executives and Pre sales TAMs to identify and land expansion opportunities. As we rapidly evolve our platform and open up new value creation paths with new SKUs and new personas, we require an uncompromising and results driven engagement leader to help us deliver scientific and operational value as well as expand within our customer base. You are a customer centric and see around the corner individual with a passion for delivering value while navigating customer hierarchy within the high inertia Life Sciences industry. You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of building and leading high performing delivery or engagement teams. You will have demonstrable experience in managing critical activities of your delivery teams and proof of consistently delivering complex data solutions in challenging scenarios. You are a top tier communicator and able to tell compelling stories in difficult situations. You will be a forward deployed captain to ensure customer success no matter the obstacles or friction the team encounters. For the avoidance of doubt, we remain in the category creation and evangelism phase and thus you are not coming in to follow a strict playbook or be a siloed people manager. It will require extreme self discipline and determination as we forge a category that will fundamentally and forever change the life sciences industry. What You Have Done 7+ years in delivery leadership roles within the Life Sciences software and data market with expertise in at least two of the following three areas: Discovery/Early Stage Development, Late Stage Development/CMC, Manufacturing/QC 3+ years in management consulting Worked in startup environments Led teams to successfully deploy solutions in the top 250 bio/pharma cohort (not biotech alone) Delivered complex enterprise deals - $ hundreds of thousands to millions in ARR per deal Expanded customer land deals - $ hundreds of thousands to millions in ACV Evidenced strong program leadership skills while navigating difficult periods with your delivery team(s) Delivered solutions within GxP compliant areas Coached and mentored Engagement, Project, Program and/or Customer Success Managers who went on to do their best work due to your assistance Operated effectively in a fast paced, team environment What You Will Do Execute a comprehensive delivery motion to drive faster time to value with high customer satisfaction and meet annual renewal targets. Lead key account delivery teams consisting of project managers, scientific data architects, scientific business analysts and data engineers, aligning on clear targets and objectives to ensure team success. Leverage and coordinate cross functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently coordinate complex implementations and product deployments. Collaborate with Sales leadership and Account Executives to pursue new business opportunities within existing accounts during implementation and in the absence of an active delivery motion. Gain a deep and broad understanding of TetraScience's Product, enabling you to evangelize and explain it to customer teams in a way each persona will comprehend. Work closely with product teams to bring customer enhancement requests to fruition and deliver more value and maintain customer awareness of relevant Product roadmap details. Stay up to date on industry trends and emerging technologies, positioning TetraScience as a thought leader in the market. Collaborate with Account Executives to create and execute account specific plans in order to meet expansion goals and support the renewal strategy. Maintain ongoing relationships with existing customers, ensuring high levels of customer satisfaction and retention while expanding your network within the accounts. Manage renewal forecasts and account health providing regular updates to leadership on progress toward targets of your accounts. Lead by example and inspire your delivery teams to do the best work of their life. Employ analytical and EQ skills to generate insights from customers' data strategies and actions, respectively. Benefits Competitive Salary and equity in a fast growing company. Supportive, team oriented culture of continuous improvement. Generous paid time off (PTO). Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position.
Mar 03, 2026
Full time
Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world's dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships. In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience's values and ethos are the right fit for you. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents daily. Who You Are TetraScience is hiring an elite engagement leader for key accounts in EMEA. The Engagement Director role concurrently drives activities for renewal numbers and drives overall success of implementation delivery and value realization. There is also a parallel effort to closely collaborate with Account Executives and Pre sales TAMs to identify and land expansion opportunities. As we rapidly evolve our platform and open up new value creation paths with new SKUs and new personas, we require an uncompromising and results driven engagement leader to help us deliver scientific and operational value as well as expand within our customer base. You are a customer centric and see around the corner individual with a passion for delivering value while navigating customer hierarchy within the high inertia Life Sciences industry. You will need to fundamentally embody the principles of extreme ownership and have a demonstrated history of building and leading high performing delivery or engagement teams. You will have demonstrable experience in managing critical activities of your delivery teams and proof of consistently delivering complex data solutions in challenging scenarios. You are a top tier communicator and able to tell compelling stories in difficult situations. You will be a forward deployed captain to ensure customer success no matter the obstacles or friction the team encounters. For the avoidance of doubt, we remain in the category creation and evangelism phase and thus you are not coming in to follow a strict playbook or be a siloed people manager. It will require extreme self discipline and determination as we forge a category that will fundamentally and forever change the life sciences industry. What You Have Done 7+ years in delivery leadership roles within the Life Sciences software and data market with expertise in at least two of the following three areas: Discovery/Early Stage Development, Late Stage Development/CMC, Manufacturing/QC 3+ years in management consulting Worked in startup environments Led teams to successfully deploy solutions in the top 250 bio/pharma cohort (not biotech alone) Delivered complex enterprise deals - $ hundreds of thousands to millions in ARR per deal Expanded customer land deals - $ hundreds of thousands to millions in ACV Evidenced strong program leadership skills while navigating difficult periods with your delivery team(s) Delivered solutions within GxP compliant areas Coached and mentored Engagement, Project, Program and/or Customer Success Managers who went on to do their best work due to your assistance Operated effectively in a fast paced, team environment What You Will Do Execute a comprehensive delivery motion to drive faster time to value with high customer satisfaction and meet annual renewal targets. Lead key account delivery teams consisting of project managers, scientific data architects, scientific business analysts and data engineers, aligning on clear targets and objectives to ensure team success. Leverage and coordinate cross functional teams, when necessary (Legal, Engineering, Marketing, Product), to efficiently coordinate complex implementations and product deployments. Collaborate with Sales leadership and Account Executives to pursue new business opportunities within existing accounts during implementation and in the absence of an active delivery motion. Gain a deep and broad understanding of TetraScience's Product, enabling you to evangelize and explain it to customer teams in a way each persona will comprehend. Work closely with product teams to bring customer enhancement requests to fruition and deliver more value and maintain customer awareness of relevant Product roadmap details. Stay up to date on industry trends and emerging technologies, positioning TetraScience as a thought leader in the market. Collaborate with Account Executives to create and execute account specific plans in order to meet expansion goals and support the renewal strategy. Maintain ongoing relationships with existing customers, ensuring high levels of customer satisfaction and retention while expanding your network within the accounts. Manage renewal forecasts and account health providing regular updates to leadership on progress toward targets of your accounts. Lead by example and inspire your delivery teams to do the best work of their life. Employ analytical and EQ skills to generate insights from customers' data strategies and actions, respectively. Benefits Competitive Salary and equity in a fast growing company. Supportive, team oriented culture of continuous improvement. Generous paid time off (PTO). Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 03, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
