This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the click apply for full job details
Feb 04, 2026
Contractor
This is a fantastic opportunity to work as a contract Bioinformatician on an Outside IR35 contract, for a major pharmaceutical company. It's important to note that this Bioinformatician role will require a minimum of 3 days per week on site in central Cambridge. The key experience required for this Bioinformatician position is: CRISPR Data pipelines Python or R Support lab scientists If you do have the click apply for full job details
We are looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value.As a subject matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve. What You'll Do Architect Decision Systems: Design innovative AI/ML models that don't just predict-they drive strategic business decisions. Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists in best practices. Bridge the Gap: Collaborate with software engineering and product teams to integrate models into the SDLC and existing workflows. Measure Impact: Define and justify the ROI of AI solutions to stakeholders through rigorous evaluation frameworks. Your Technical Toolkit Advanced Mastery: Data Science & Machine Learning. Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker . Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) . Engineering Rigor: Solid understanding of the Software Development Life Cycle (SDLC) . Please let me know if you would be interested Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Feb 04, 2026
Contractor
We are looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value.As a subject matter expert, you will mentor a high-performing team, manage cross-functional integrations, and stay at the bleeding edge of AI (RAG, MCP, and SageMaker) to keep our projects ahead of the curve. What You'll Do Architect Decision Systems: Design innovative AI/ML models that don't just predict-they drive strategic business decisions. Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists in best practices. Bridge the Gap: Collaborate with software engineering and product teams to integrate models into the SDLC and existing workflows. Measure Impact: Define and justify the ROI of AI solutions to stakeholders through rigorous evaluation frameworks. Your Technical Toolkit Advanced Mastery: Data Science & Machine Learning. Cloud Expertise: Intermediate+ proficiency in Amazon SageMaker . Modern AI: Familiarity with Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) . Engineering Rigor: Solid understanding of the Software Development Life Cycle (SDLC) . Please let me know if you would be interested Randstad Technologies is acting as an Employment Business in relation to this vacancy.
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.
Feb 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.
Counsel - Global Corporate Governance & Legal Ops Remote About Sand Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI: our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. About the role We are seeking a highly capable attorney to manage corporate governance, regulatory compliance, and legal operations across multiple jurisdictions. This role is integral to maintaining compliance and supporting business growth globally. The Senior Counsel / AGC will manage corporate filings, entity compliance, KYC requests, and legal department operations while advising on M&A and fundraising initiatives, ideally with cross-border exposure. Specific Responsibilities Manage corporate filings in US and international jurisdictions, including ongoing filing and information requests. Oversee entity management and maintain corporate compliance records. Handle KYC requests from customers and banks. Assist with organization and improvement of legal department operations. Advise on M&A and fundraising matters, including cross-border considerations. Support ad hoc legal projects as required. Location Global, remote Requirements Law degree (J.D. or equivalent) and admission to practice in at least one jurisdiction. 2+ years experience in regulatory and corporate compliance across multiple jurisdictions (US plus at least one foreign jurisdiction preferred).2+ years advising on M&A and fundraising, ideally cross-border.5+ years project management experience, coordinating multiple stakeholders and workstreams.Collaborative yet capable of independent decision-making.Detail and process-oriented.High integrity and ethical standards.High integrity and ethical standards.High integrity and ethical standards. Requirements - Preferable Proven experience in legal department of a fast-paced, hyperscaling SAAS or technology company Experience with contract review and management. Privacy compliance experience.Located in a timezone that coordinates with North America and EMEA. Personal Attributes Client Centricity & Integrity: We let Our Clients Run the Company, Surf Like Yvon to stay true to our values, and Play the Long Game with integrity. Collaboration and Inclusion: We live by Each One, Teach Ten and ensure Everybody is Welcome. Operational Excellence and Simplicity: We K.I.S.S. by keeping things simple while always striving to Raise the Bar. Action, Ownership, and Execution: We Decide, Get Stuff Done, and Do Hard Things with accountability. Growth, Innovation, and Resilience: We Choose Growth, Pioneer boldly, and remember There is No Failure. Due to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential. Create a Job Alert Interested in building your career at Sand Tech Holdings Limited? Get future opportunities sent straight to your email.
Feb 04, 2026
Full time
Counsel - Global Corporate Governance & Legal Ops Remote About Sand Sand Technologies is a fast-growing enterprise AI company that solves real-world problems for large blue-chip companies and governments worldwide. We're pioneers of meaningful AI: our solutions go far beyond chatbots. We are using data and AI to solve the world's biggest issues in telecommunications, sustainable water management, energy, healthcare, climate change, smart cities, and other areas that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m people in a country to get world-class healthcare despite a shortage of doctors. We've grown our revenues by over 500% in the last 12 months while winning prestigious scientific and industry awards for our cutting-edge technology. We're underpinned by over 300 engineers and scientists working across Africa, Europe, the UK and the US. About the role We are seeking a highly capable attorney to manage corporate governance, regulatory compliance, and legal operations across multiple jurisdictions. This role is integral to maintaining compliance and supporting business growth globally. The Senior Counsel / AGC will manage corporate filings, entity compliance, KYC requests, and legal department operations while advising on M&A and fundraising initiatives, ideally with cross-border exposure. Specific Responsibilities Manage corporate filings in US and international jurisdictions, including ongoing filing and information requests. Oversee entity management and maintain corporate compliance records. Handle KYC requests from customers and banks. Assist with organization and improvement of legal department operations. Advise on M&A and fundraising matters, including cross-border considerations. Support ad hoc legal projects as required. Location Global, remote Requirements Law degree (J.D. or equivalent) and admission to practice in at least one jurisdiction. 2+ years experience in regulatory and corporate compliance across multiple jurisdictions (US plus at least one foreign jurisdiction preferred).2+ years advising on M&A and fundraising, ideally cross-border.5+ years project management experience, coordinating multiple stakeholders and workstreams.Collaborative yet capable of independent decision-making.Detail and process-oriented.High integrity and ethical standards.High integrity and ethical standards.High integrity and ethical standards. Requirements - Preferable Proven experience in legal department of a fast-paced, hyperscaling SAAS or technology company Experience with contract review and management. Privacy compliance experience.Located in a timezone that coordinates with North America and EMEA. Personal Attributes Client Centricity & Integrity: We let Our Clients Run the Company, Surf Like Yvon to stay true to our values, and Play the Long Game with integrity. Collaboration and Inclusion: We live by Each One, Teach Ten and ensure Everybody is Welcome. Operational Excellence and Simplicity: We K.I.S.S. by keeping things simple while always striving to Raise the Bar. Action, Ownership, and Execution: We Decide, Get Stuff Done, and Do Hard Things with accountability. Growth, Innovation, and Resilience: We Choose Growth, Pioneer boldly, and remember There is No Failure. Due to the considerable amount of virtual work and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed in working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential. Create a Job Alert Interested in building your career at Sand Tech Holdings Limited? Get future opportunities sent straight to your email.
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.
Feb 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.
Feb 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.
Feb 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.
Manpower are currently seeking an interim Consumer Test Coordinator, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based at our client's scientific Research & Development facility in Port Sunlight Village, Wirral easily accessible by train and car. This is a part-time temporary role to run for 6 months, requiring an average of 15 hours per week over 2 days (normally a Tuesday and Thursday but it is subject to change). Flexible availability is required to adjust working days and cover holidays, etc. Training will last 1 month at 3 days per week before the next month's working pattern is agreed. Compensation for this role is competitive, paying up to 16.15 per hour depending upon experience. The Consumer Centre at Unilever R&D Port Sunlight facilitates consumer testing for a wide range of studies that support the business programme. The Centre provides test facilities, panellist recruitment, appointment booking, hosting, and manages panellist payments. The role combines data management via online systems with general administration. The ability to effectively handle and navigate digital systems to ensure accurate data management, facilitate communication, and oversee participant records is essential for this role. The job includes contributing to the effective and efficient running of the Consumer Centre by arranging appointments, maintaining databases, assisting consumers both in person and over the phone, and working with scientific staff to enable the efficient running of studies. Key Accountabilities Identify, screen, and allocate panellists for testing using Compusense, a customisable panel management and sensory testing software tool that is menu driven. Digitally managing, updating and maintaining accurate records of Consumer Centre and panellist activity using Compusense, Excel and Teams. Working with scientists to set up studies that meet their brief and adhere to site policies and procedures. Digitally handling sensitive information such as medical histories, adverse reactions, and information/consent documentation. Working with the team to ensure the maintenance and upkeep of the facility. Providing face to face support for panellists on site. Key Requirements Ability to effectively handle and navigate digital systems to ensure accurate data management, facilitate communication, and oversee participant records. Experience in digitally managing appointments/records/information or similar via online systems. Competent user of IT systems with the ability to pick up new systems easily - you will have support and time to learn but need to be confident and independent in managing your learning and show rapid progress. Prior knowledge of Compusense is not essential, however, evidence of working with customisable software is required (such as MS Excel and Teams) Strong administration skills. Used to a fast-moving work environment with strong time management skills. Can show initiative and prioritise tasks. Professional telephone manner and communication skills. Additional Information Port Sunlight working environment: Free onsite parking Staff shop discounted products Working in state-of-the-art laboratory and pilot plant facilities Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes' drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The sites have three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold-water dispensers around the site accessible throughout the day.
Feb 04, 2026
Full time
Manpower are currently seeking an interim Consumer Test Coordinator, to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment. The position is based at our client's scientific Research & Development facility in Port Sunlight Village, Wirral easily accessible by train and car. This is a part-time temporary role to run for 6 months, requiring an average of 15 hours per week over 2 days (normally a Tuesday and Thursday but it is subject to change). Flexible availability is required to adjust working days and cover holidays, etc. Training will last 1 month at 3 days per week before the next month's working pattern is agreed. Compensation for this role is competitive, paying up to 16.15 per hour depending upon experience. The Consumer Centre at Unilever R&D Port Sunlight facilitates consumer testing for a wide range of studies that support the business programme. The Centre provides test facilities, panellist recruitment, appointment booking, hosting, and manages panellist payments. The role combines data management via online systems with general administration. The ability to effectively handle and navigate digital systems to ensure accurate data management, facilitate communication, and oversee participant records is essential for this role. The job includes contributing to the effective and efficient running of the Consumer Centre by arranging appointments, maintaining databases, assisting consumers both in person and over the phone, and working with scientific staff to enable the efficient running of studies. Key Accountabilities Identify, screen, and allocate panellists for testing using Compusense, a customisable panel management and sensory testing software tool that is menu driven. Digitally managing, updating and maintaining accurate records of Consumer Centre and panellist activity using Compusense, Excel and Teams. Working with scientists to set up studies that meet their brief and adhere to site policies and procedures. Digitally handling sensitive information such as medical histories, adverse reactions, and information/consent documentation. Working with the team to ensure the maintenance and upkeep of the facility. Providing face to face support for panellists on site. Key Requirements Ability to effectively handle and navigate digital systems to ensure accurate data management, facilitate communication, and oversee participant records. Experience in digitally managing appointments/records/information or similar via online systems. Competent user of IT systems with the ability to pick up new systems easily - you will have support and time to learn but need to be confident and independent in managing your learning and show rapid progress. Prior knowledge of Compusense is not essential, however, evidence of working with customisable software is required (such as MS Excel and Teams) Strong administration skills. Used to a fast-moving work environment with strong time management skills. Can show initiative and prioritise tasks. Professional telephone manner and communication skills. Additional Information Port Sunlight working environment: Free onsite parking Staff shop discounted products Working in state-of-the-art laboratory and pilot plant facilities Free parking onsite 5 mins walk to train station serving Liverpool & Chester 20-minute drive from Liverpool city centre/30-minutes' drive from Chester Disabled parking In the heart of picturesque Port Sunlight village There are also several site clubs available to join covering a range of topics including Book Club, Running, Choir, Pool, Genealogy and much more. The sites have three catering outlets which provide a range of hot and cold food and drinks daily. In addition there are a range of vending machines and cold-water dispensers around the site accessible throughout the day.
Membership & CRM Officer Bristol (Hybrid) £32,000 Permanent, Full-time (Part-time may be considered) If you are a whizz with Excel and adept at getting the most from complex databases, but also a great communicator and administrator (confident responding to many varied queries, super organised and passionate about process improvement), we d love to hear from you. Are you passionate about combining data expertise with exceptional customer service? Our client is looking for a Membership and CRM Officer who loves data as much as people combining advanced Excel skills and database expertise with outstanding communication and administrative skills. You will independently manage membership subscription processes and grants administration, respond to member queries and ensure the CRM systems run smoothly. This is an exciting opportunity to make a real impact in a mission-driven organisation. What You ll Do Administer membership applications, renewals, and payments Provide excellent support to members and delegates and respond to enquiries Maintain, optimise and troubleshoot multiple CRM systems, ensuring data accuracy and compliance Develop and generate reports and insights to inform decision-making Support grants administration and committee processes Collaborate across teams to improve systems and member engagement What They re Looking For Customer service skills and professional written and verbal communication Proficiency with Microsoft suite Advanced Excel skills (Power BI experience is a bonus) Proven experience managing and developing CRM systems and complex databases Strong organisational skills and attention to detail Customer-focused mindset with the ability to build positive relationships Experience in membership/subscription administration or similar is desirable Why Join Them? Hybrid working - Tuesdays and Wednesdays in the North Bristol office (with flexibility where needed) Flexitime system 26 days annual leave minimum, plus bank holidays Health and Wellbeing Cash Plan private GP, cash back for dentist, opticians, physio and more Salary Extras scheme Refer a friend scheme Employee Assistance Programme Be part of a charity that makes a difference in healthcare Collaborative and supportive team environment Our client is a UK charity and membership organisation that brings together scientists, clinicians, and nurses who work with hormones, to improve lives. Hormones matter; they control almost every function in the body, and when things go wrong, they cause some of the most common - and some of the rarest - health conditions.
Feb 04, 2026
Full time
Membership & CRM Officer Bristol (Hybrid) £32,000 Permanent, Full-time (Part-time may be considered) If you are a whizz with Excel and adept at getting the most from complex databases, but also a great communicator and administrator (confident responding to many varied queries, super organised and passionate about process improvement), we d love to hear from you. Are you passionate about combining data expertise with exceptional customer service? Our client is looking for a Membership and CRM Officer who loves data as much as people combining advanced Excel skills and database expertise with outstanding communication and administrative skills. You will independently manage membership subscription processes and grants administration, respond to member queries and ensure the CRM systems run smoothly. This is an exciting opportunity to make a real impact in a mission-driven organisation. What You ll Do Administer membership applications, renewals, and payments Provide excellent support to members and delegates and respond to enquiries Maintain, optimise and troubleshoot multiple CRM systems, ensuring data accuracy and compliance Develop and generate reports and insights to inform decision-making Support grants administration and committee processes Collaborate across teams to improve systems and member engagement What They re Looking For Customer service skills and professional written and verbal communication Proficiency with Microsoft suite Advanced Excel skills (Power BI experience is a bonus) Proven experience managing and developing CRM systems and complex databases Strong organisational skills and attention to detail Customer-focused mindset with the ability to build positive relationships Experience in membership/subscription administration or similar is desirable Why Join Them? Hybrid working - Tuesdays and Wednesdays in the North Bristol office (with flexibility where needed) Flexitime system 26 days annual leave minimum, plus bank holidays Health and Wellbeing Cash Plan private GP, cash back for dentist, opticians, physio and more Salary Extras scheme Refer a friend scheme Employee Assistance Programme Be part of a charity that makes a difference in healthcare Collaborative and supportive team environment Our client is a UK charity and membership organisation that brings together scientists, clinicians, and nurses who work with hormones, to improve lives. Hormones matter; they control almost every function in the body, and when things go wrong, they cause some of the most common - and some of the rarest - health conditions.
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.
Feb 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.
Feb 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 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.
Feb 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 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.
Feb 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 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.
Feb 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 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.
Feb 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 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.
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Feb 03, 2026
Full time
GoCardless is a global bank payment company. Over 100,000 businesses, from start-ups to household names, use GoCardless to collect and send payments through direct debit, real-time payments and open banking. GoCardless processes US$130bn+ of payments annually, across 30+ countries; helping customers collect and send both recurring and one-off payments, without the chasing, stress or expensive fees. We use AI-powered solutions to improve payment success and reduce fraud. And, with open banking connectivity to over 2,500 banks, we help our customers make faster, more informed decisions. We are headquartered in the UK with offices in London and Leeds, and additional locations in Australia, France, Ireland, Latvia, Portugal and the United States. At GoCardless, we're all about supporting you! We're committed to making our hiring process inclusive and accessible. If you need extra support or adjustments, reach out to your Talent Partner - we're here to help! And remember: we don't expect you to meet every single requirement. If you're excited by this role, we encourage you to apply! The role Data sits at the core of our mission. We leverage bank account data to deliver high-value, intelligent payment solutions for our customers, from enhancing payment success rates to driving payer fraud prevention. As a Data Science Manager within our Payment Intelligence team, you'll partner with Software Engineers, Product Managers, and Designers to turn big ideas into reality. You'll own the full lifecycle of our algorithms, shaping everything from the initial concept to production-ready code that powers our global payment network. At GoCardless, our stack is centered around Google Cloud Platform and Vertex AI, providing a high-performance environment for innovation. Our Data Scientists operate at the intersection of Python, SQL, and BigQuery to build and deploy high-performance models at scale. What you'll do Manage and mentor a high-performing team of Data Scientists, fostering a culture of technical excellence and supporting their long-term career development. Oversee the end-to-end lifecycle of mission-critical ML models that power real-time payment decisions. Shape the strategic roadmap for the Payment Intelligence space, translating complex data challenges into actionable, high-impact goals. Drive cross-functional impact by working closely across disciplines to build end-to-end technical solutions, from concept to production. Influence Senior Leadership by acting as the bridge between technical complexity and business value, communicating ML strategy to senior stakeholders. What excites you Driving cutting-edge advancements in Data, AI, and Machine Learning within the payments space with a multidisciplinary team. Mentoring a high-performing team and fostering a culture of technical excellence. Solving the complex, real-time challenges of fraud prevention and payment optimisation at scale. Building production-grade ML models on a streamlined GCP and Vertex AI stack to drive fintech innovation. What excites us 2+ years managing Data Scientists within complex, high-stakes domains. A hands-on leader comfortable diving into the codebase. You bring strong expertise in Python and SQL to oversee the full lifecycle of a model, from initial prototype to robust production deployment. A decisive collaborator who can navigate technical trade-offs and translate complex ML concepts for cross-functional stakeholders and leadership. Familiarity with complex data environments and model architectures, such as deep learning (experience in Fintech, Fraud Prevention, or Payments is a big plus). Base salary ranges are based on role, job level, location, and market data. Please note that whilst we strive to offer competitive compensation, our approach is to pay between the minimum and the mid-point of the pay range until performance can be assessed in role. Offers will take into account level of experience, interview assessment, budgets and parity between you and fellow employees at GoCardless doing similar work. The Good Stuff! Wellbeing: Dedicated support and medical cover to keep you healthy. Work Away Scheme: Work from anywhere for up to 90 days in any 12-month period. Hybrid Working: Our hybrid model offers flexibility, with in-office days determined by your team. Equity: All permanently employed GeeCees get equity to share in our success. Parental leave: Tailored leave to support your life's great adventure. Time off: Annual holiday leave based on your location, supplemented by 3 volunteer days and 4 wellness days. Life at GoCardless We're an organisation defined by our values; we start with why before we begin any project, to ensure it's aligned with our mission. We make it happen, working with urgency and taking personal accountability for getting things done. We act with integrity, always. We care deeply about what we do and we know it's essential that we be humble whilst we do it. Our Values form part of the GoCardless DNA, and are used to not only help us nurture and develop our culture, but to deliver impactful work that will help us to achieve our vision. Diversity & Inclusion We're building the payment network of the future, and to achieve our goal, we need a diverse team with a range of perspectives and experiences. Here's where we stand: 45% identify as women 23% identify as Black, Asian, Mixed, or Other 10% identify as LGBTQIA+ 9% identify as neurodiverse 2% identify as disabled Sustainability at GoCardless We're committed to reducing our environmental impact and leaving a sustainable world for future generations. As co founders of the Tech Zero coalition we're working towards a climate positive future. Check out our sustainability action plan here. Interested in building your career at GoCardless? Get future opportunities sent straight to your email.
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
Feb 03, 2026
Full time
Overview With us, you'll learn fast, work smart, and make a difference. You'll build a career that matters. Job Description - Delivery Lead- Senior Manager - English (ANA020316) Delivery Lead- Senior Manager - English - ANA020316 Ready to build the future with AI? At Genpact, we don't just keep up with technology-we set the pace. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what's possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on LinkedIn, YouTube, and Facebook. Inviting applications for the role of Senior Manager, Delivery Lead! Responsibilities 1. Use Case Development & Solution Design Identify, prioritize, and develop high-value analytics use cases across retail functions such as demand forecasting, price & promotion optimization, inventory planning, customer segmentation, and store performance analytics. Translate business needs into analytical problem statements, selecting the right methodologies and data sources. Build business cases, quantify ROI, and work with stakeholders to ensure adoption. 2. Advanced Modeling & Analytical Execution Develop, validate, and deploy machine learning/statistical models (e.g., time-series forecasting, recommendation systems, propensity models, optimization algorithms). Apply financial modeling and accounting understanding to design solutions that tie directly to revenue, margin, cost, and profitability metrics. Conduct exploratory data analysis, feature engineering, and model performance tracking. 3. Data Architecture & Engineering Collaboration Partner with data engineering teams to define data requirements, improve data quality, and optimize pipelines for scalable model deployment. Work within cloud environments (AWS, GCP, Azure) to operationalize models and automate analytics workflows. 4. Business Partnership & Communication Present insights and model outcomes to senior executives in Finance, Operations, and Commercial teams. Build strong relationships with business units to enable data-driven decision-making. Conduct workshops and analytics roadmapping sessions with functional leaders. Implement best practices in model governance, version control, monitoring, and documentation. Lead continuous improvement initiatives to refine models, data processes, and solution performance. Delivery Leadership & Program Management Oversee the delivery of multiple concurrent analytics and data science projects from scoping to deployment. Manage timelines, budgets, quality standards, and stakeholder expectations for all analytics deliverables. Establish governance frameworks, delivery methodologies, and best practices for analytics program execution. Technical & Analytical Oversight Guide data scientists, analysts, and engineers in developing advanced analytical models (e.g., predictive modeling, optimization, NLP, computer vision). Ensure quality, scalability, and interpretability of analytics outputs. Champion the use of modern data science tools, AI/ML platforms, and cloud-based analytics ecosystems (Azure, AWS, or GCP). Lead, mentor, and inspire cross-functional analytics teams to deliver excellence. Foster a culture of innovation, collaboration, and continuous learning. Support hiring, training, and career development of analytics talent. Strategic Impact & Innovation Identify and prioritize high-value use cases across the CGR lifecycle - such as demand forecasting, trade optimization, portfolio mix analysis, consumer segmentation, and digital shelf analytics. Drive adoption of advanced analytics solutions across the organization to unlock revenue growth and operational efficiency. Stay abreast of emerging technologies and trends in AI, GenAI, and data science relevant to the CGR domain. Qualifications Minimum Qualifications Master's or PhD in Data Science, Statistics, Computer Science, Economics, Finance, Engineering, or related field. Preferred Qualifications / Skills Master's degree in Data Science, Statistics Relevant years of experience in data science, advanced analytics, or machine learning roles. Demonstrated experience developing retail analytics use cases (e.g., demand forecasting, price optimization, customer analytics, churn prediction, assortment planning). Strong knowledge of finance, accounting fundamentals, and P&L drivers. Expertise in Python or R, SQL, and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Experience working with cloud platforms (AWS/GCP/Azure) and modern data stacks. Strong understanding of data modeling, version control (Git), and model deployment practices. Exceptional communication skills, with the ability to translate complex analytics into clear business recommendations. Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career-Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit, paying to apply, or purchasing equipment or training.
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
Feb 03, 2026
Full time
Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Feb 03, 2026
Full time
We have an exciting opportunity for an experienced bioinformatician who is interested in working at the forefront of the gene editing (CRISPR knock out, base editing) and gene modulation (CRISPRa, CRISPRi, RNAi) fields. As a Bioinformatics Scientist / Senior Bioinformatics Scientist, you will have the opportunity to apply your strong bioinformatics background and software development skills to make key contributions in support of a wide variety of Revvity products and services including screening services, base editing research, whole genome CRISPR/RNAi reagents, and diagnostics reference standards. In this role, you will work closely with scientists, software engineers, product managers, and other bioinformaticians to support and drive cutting edge research products and services. If you are an experienced bioinformatician, are fulfilled by working on challenging problems, and enjoy being part of a vibrant team, this role is for you! Key Responsibilities Work as part of an Agile development team to develop, test, document, and support bioinformatics pipelines and tools (primarily Python with some C# and R) Help manage complex projects by gathering user requirements and breaking them into technical tasks for the team Mentor junior group members and provide high level guidance on software architecture, bioinformatics, and scientific approach to problems Provide expert feedback on new code through pull requests Drive collaboration with scientists, product managers, software engineers, and other internal stakeholders to understand and address the complex, emerging needs of our business and customers Prepare and present high quality data packages and reports to internal/external clients Help drive innovation within the bioinformatics group and company by suggesting new areas of research/development Essential Competencies & Requirements Relevant experience post PhD (or equivalent) in bioinformatics, computational biology, molecular biology, chemistry, physics, statistics, computer science, or a related field Bioinformatics expertise - experienced in using standard tools and common data sources Strong software development skills - 3+ years Python development and testing, experience creating and querying databases (e.g., PostgreSQL), advanced knowledge of Git, experience developing user facing software (command line, web app), strong familiarity with WSL (Linux) command line Able to work independently and deliver high quality results while managing multiple simultaneous projects Desirable Competencies & Requirements Experience working as part of an Agile development team, including code reviews and sprint team roles Familiarity with cloud development and resources (Azure, AWS); HPC experience a plus Experience working in Flask (or another Python web framework) and Python development tools (e.g., pyenv, poetry, tox) Experience with Docker and writing Dockerfiles and CI/CD pipelines (Jenkins, CircleCI, Azure Pipelines, etc.) Experience developing NGS analysis pipelines or familiarity with common gene and variant annotation data sources (e.g., NCBI, COSMIC) Intermediate to advanced experience developing in a language other than Python (especially R or C#)
Led by a world class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are hiring Scientific Operations Managers to oversee laboratory facilities within either the Materials and Devices for Life Science Institute or the Plant Biology Institute. You will lead the design, set up, and daily operations of high throughput labs, ensuring equipment, infrastructure and processes meet our scientific, safety and quality standards. Responsibilities include procuring and maintaining equipment, managing supplies and inventory, troubleshooting facility issues, and serving as the primary operational contact, including out of hours support when needed. Materials and Devices for Life Science Institute Work focuses on 3D tissue construction, nanopore sensing/sequencing, device engineering, and applied sequencing. Candidates should bring technical expertise in one or more relevant areas such as protein/small molecule analysis, synthetic or living tissue from human cells, or device production in clinical environments. Plant Biology Institute Work focuses on improving global food production and sustainability through advanced plant science. Relevant experience includes molecular biology, plant cell culture, and plant growth. We seek candidates with strong scientific backgrounds, laboratory management experience, and an understanding of high throughput facilities. Core hours are Monday to Friday, 08:30-17:30, based on site, with occasional flexibility required. Key Responsibilities Facility Design and Development Work with design and construction teams to build fit for purpose research facilities aligned with end user needs and MEP requirements. Experience designing and scaling laboratory facilities in a start up environment. Liaise with suppliers to procure equipment, consumables, reagents and accessories. Ensure required licences and regulations (signage, PPE, SOPs, COSHH, etc.) are met. Work with central teams to establish systems such as LIMS, QMS, EMS and BMS. Facility Management Oversee daily laboratory operations, ensuring efficient workflow and quality standards. Manage laboratory staff (hiring, training, mentoring, performance management). Implement and enforce safety procedures in line with GLP, ISO, HTA and other standards. Monitor critical lab conditions (temperature, humidity, air quality). Assess and support structural, mechanical or electrical modifications; optimise space and equipment for diverse research needs. Equipment Management Ensure equipment, consumables and reagents are maintained and available for research use. Oversee maintenance, calibration and troubleshooting of instruments. Maintain lab cleanliness, space optimisation and operational readiness of all equipment. Work with external vendors for equipment servicing and repairs. Operational Support Develop and implement SOPs to ensure consistent and compliant processes. Troubleshoot workflow issues to prevent delays in project timelines. Inventory and Supply Chain Management Manage inventory with technicians, inventory managers and finance/procurement teams. Coordinate procurement to secure necessary materials and resources. Track and document inventory, ensuring timely resupply to avoid delays. Maintain systems for handling, storing and disposing of hazardous materials safely and compliantly. Collaboration with Research and Development Teams Work with scientific leadership to align facilities with research needs and objectives. Act as key facilities contact, providing updates and recommending improvements. Ensure laboratory operations support scientific timelines and goals; contribute to project planning and strategy. Quality Assurance and Compliance Ensure compliance with safety, regulatory and quality standards (e.g., GxP, ISO, HTA). Implement QC processes to ensure accuracy and reproducibility of results. Support internal and external audits and inspections. Maintain documentation of processes, workflows and sample handling per regulations. Essential & Desirable Skills, Qualifications & Experience Educated to a minimum of BSc (up to PhD) in a relevant scientific field. Experienced lab professional with significant laboratory experience, including evidential exposure in a management or supervisory role. Proven experience managing a high throughput laboratory and overseeing both equipment and staff. Strong leadership and team management skills, capable of motivating and developing diverse laboratory teams. Excellent problem solving and troubleshooting skills in high tech or complex laboratory environments. Strong organisational skills and the ability to manage multiple projects and priorities. In depth knowledge of laboratory operations, equipment maintenance, safety standards and regulatory compliance. Familiarity with laboratory safety protocols, quality management systems and regulatory frameworks (e.g., GLP, GxP, ISO). Proficiency with laboratory management software, inventory systems and data tracking tools. Effective communication skills and ability to collaborate across multidisciplinary teams. Detail oriented, analytical and able to make critical decisions under pressure. Ability to work in a fast paced environment with a flexible, solutions focused approach. Demonstrated commitment to maintaining a safe, efficient and compliant laboratory environment. Experience working within start ups, scale ups or rapidly evolving R&D environments. Previous responsibility for scaling laboratory facilities or implementing new systems (e.g., LIMS, QMS, EMS, BMS). Experience working with specialised technologies aligned to Materials & Devices or Plant Biology research. Additional certifications related to laboratory safety, compliance or quality systems. We offer the following salary and benefits Salary: £50,000 - £60,000 + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. This position will be fully office based, Monday - Friday. Please ensure you are happy with this before applying.
Feb 03, 2026
Full time
Led by a world class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. We are hiring Scientific Operations Managers to oversee laboratory facilities within either the Materials and Devices for Life Science Institute or the Plant Biology Institute. You will lead the design, set up, and daily operations of high throughput labs, ensuring equipment, infrastructure and processes meet our scientific, safety and quality standards. Responsibilities include procuring and maintaining equipment, managing supplies and inventory, troubleshooting facility issues, and serving as the primary operational contact, including out of hours support when needed. Materials and Devices for Life Science Institute Work focuses on 3D tissue construction, nanopore sensing/sequencing, device engineering, and applied sequencing. Candidates should bring technical expertise in one or more relevant areas such as protein/small molecule analysis, synthetic or living tissue from human cells, or device production in clinical environments. Plant Biology Institute Work focuses on improving global food production and sustainability through advanced plant science. Relevant experience includes molecular biology, plant cell culture, and plant growth. We seek candidates with strong scientific backgrounds, laboratory management experience, and an understanding of high throughput facilities. Core hours are Monday to Friday, 08:30-17:30, based on site, with occasional flexibility required. Key Responsibilities Facility Design and Development Work with design and construction teams to build fit for purpose research facilities aligned with end user needs and MEP requirements. Experience designing and scaling laboratory facilities in a start up environment. Liaise with suppliers to procure equipment, consumables, reagents and accessories. Ensure required licences and regulations (signage, PPE, SOPs, COSHH, etc.) are met. Work with central teams to establish systems such as LIMS, QMS, EMS and BMS. Facility Management Oversee daily laboratory operations, ensuring efficient workflow and quality standards. Manage laboratory staff (hiring, training, mentoring, performance management). Implement and enforce safety procedures in line with GLP, ISO, HTA and other standards. Monitor critical lab conditions (temperature, humidity, air quality). Assess and support structural, mechanical or electrical modifications; optimise space and equipment for diverse research needs. Equipment Management Ensure equipment, consumables and reagents are maintained and available for research use. Oversee maintenance, calibration and troubleshooting of instruments. Maintain lab cleanliness, space optimisation and operational readiness of all equipment. Work with external vendors for equipment servicing and repairs. Operational Support Develop and implement SOPs to ensure consistent and compliant processes. Troubleshoot workflow issues to prevent delays in project timelines. Inventory and Supply Chain Management Manage inventory with technicians, inventory managers and finance/procurement teams. Coordinate procurement to secure necessary materials and resources. Track and document inventory, ensuring timely resupply to avoid delays. Maintain systems for handling, storing and disposing of hazardous materials safely and compliantly. Collaboration with Research and Development Teams Work with scientific leadership to align facilities with research needs and objectives. Act as key facilities contact, providing updates and recommending improvements. Ensure laboratory operations support scientific timelines and goals; contribute to project planning and strategy. Quality Assurance and Compliance Ensure compliance with safety, regulatory and quality standards (e.g., GxP, ISO, HTA). Implement QC processes to ensure accuracy and reproducibility of results. Support internal and external audits and inspections. Maintain documentation of processes, workflows and sample handling per regulations. Essential & Desirable Skills, Qualifications & Experience Educated to a minimum of BSc (up to PhD) in a relevant scientific field. Experienced lab professional with significant laboratory experience, including evidential exposure in a management or supervisory role. Proven experience managing a high throughput laboratory and overseeing both equipment and staff. Strong leadership and team management skills, capable of motivating and developing diverse laboratory teams. Excellent problem solving and troubleshooting skills in high tech or complex laboratory environments. Strong organisational skills and the ability to manage multiple projects and priorities. In depth knowledge of laboratory operations, equipment maintenance, safety standards and regulatory compliance. Familiarity with laboratory safety protocols, quality management systems and regulatory frameworks (e.g., GLP, GxP, ISO). Proficiency with laboratory management software, inventory systems and data tracking tools. Effective communication skills and ability to collaborate across multidisciplinary teams. Detail oriented, analytical and able to make critical decisions under pressure. Ability to work in a fast paced environment with a flexible, solutions focused approach. Demonstrated commitment to maintaining a safe, efficient and compliant laboratory environment. Experience working within start ups, scale ups or rapidly evolving R&D environments. Previous responsibility for scaling laboratory facilities or implementing new systems (e.g., LIMS, QMS, EMS, BMS). Experience working with specialised technologies aligned to Materials & Devices or Plant Biology research. Additional certifications related to laboratory safety, compliance or quality systems. We offer the following salary and benefits Salary: £50,000 - £60,000 + travel allowance + bonus Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme. This position will be fully office based, Monday - Friday. Please ensure you are happy with this before applying.
