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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Web Developer Our client, an innovative technology organisation operating within the travel and mobility sector, is seeking a Mid-Level Web Developer to join their growing engineering team. This is an exciting opportunity to contribute to the development of scalable, cloud-based applications that support high-volume, user-centric digital experiences across international markets. You will play a key role across the full software development life cycle, from design and architecture through to deployment and ongoing optimisation. Working with modern frameworks and cloud technologies, you'll help deliver secure, high-performing applications in a collaborative, agile environment. Key Responsibilities Design, build, and maintain scalable applications using .NET technologies Contribute to system architecture and technical design decisions Develop and manage cloud-native applications (AWS and/or Azure) Build and integrate RESTful and SOAP APIs with third-party systems Design and optimise SQL and NoSQL databases Support full SDLC including testing, deployment, and maintenance Monitor performance, troubleshoot issues, and drive continuous improvements Required Skills & Experience 3-5 years' experience in software or application development Strong proficiency in C#, ASP.NET/ASP.NET Core Experience with modern Front End frameworks (Angular, React, or Vue.js) Solid understanding of REST APIs, microservices, and performance optimisation Experience with SQL Server and exposure to NoSQL databases Hands-on experience with AWS and/or Azure Familiarity with CI/CD pipelines and Infrastructure as Code (eg Terraform) Strong understanding of Agile development practices Excellent problem-solving and debugging skills This is an opportunity to join an award-winning software company known for its collaborative and social culture. Based in Central Brighton, the team fosters a supportive and engaging working environment, offering a balance of high-performance delivery and a genuinely enjoyable workplace atmosphere. Brighton - 4 days in office, 1 day remote £40k to £60k DOE
May 20, 2026
Full time
Web Developer Our client, an innovative technology organisation operating within the travel and mobility sector, is seeking a Mid-Level Web Developer to join their growing engineering team. This is an exciting opportunity to contribute to the development of scalable, cloud-based applications that support high-volume, user-centric digital experiences across international markets. You will play a key role across the full software development life cycle, from design and architecture through to deployment and ongoing optimisation. Working with modern frameworks and cloud technologies, you'll help deliver secure, high-performing applications in a collaborative, agile environment. Key Responsibilities Design, build, and maintain scalable applications using .NET technologies Contribute to system architecture and technical design decisions Develop and manage cloud-native applications (AWS and/or Azure) Build and integrate RESTful and SOAP APIs with third-party systems Design and optimise SQL and NoSQL databases Support full SDLC including testing, deployment, and maintenance Monitor performance, troubleshoot issues, and drive continuous improvements Required Skills & Experience 3-5 years' experience in software or application development Strong proficiency in C#, ASP.NET/ASP.NET Core Experience with modern Front End frameworks (Angular, React, or Vue.js) Solid understanding of REST APIs, microservices, and performance optimisation Experience with SQL Server and exposure to NoSQL databases Hands-on experience with AWS and/or Azure Familiarity with CI/CD pipelines and Infrastructure as Code (eg Terraform) Strong understanding of Agile development practices Excellent problem-solving and debugging skills This is an opportunity to join an award-winning software company known for its collaborative and social culture. Based in Central Brighton, the team fosters a supportive and engaging working environment, offering a balance of high-performance delivery and a genuinely enjoyable workplace atmosphere. Brighton - 4 days in office, 1 day remote £40k to £60k DOE
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Principal Civil Engineer Location: Fareham, Hampshire Hours: Monday to Friday, Flexible Opportunity with Core Hours Required Salary: Competitive Holiday: 32 days including bank holidays, Increasing with length of service. Sector: Civil Engineering Our client is a well-established, multi-disciplinary consultancy specialising in transport planning, travel planning, and civil and structural engineering services. The business has grown steadily in recent years and now operates across the UK, supporting both public and private sector clients on a wide range of development and infrastructure projects. They are known for delivering practical, high-quality solutions from early feasibility through to detailed design and project delivery, with a strong emphasis on collaboration and client-focused outcomes. With an experienced and technically strong team, the company provides end-to-end support, combining commercial awareness with in-depth knowledge of current legislation and industry standards. Our client places a strong emphasis on communication, long-term relationships, and continuous improvement, underpinned by their core values of customer focus, openness, results, and excellence. They have built a solid reputation for delivering reliable and innovative engineering solutions that enable successful development across a diverse portfolio of projects nationwide. Position Duties Lead and manage civil engineering projects across drainage, highways, and external works from planning through to construction Oversee and coordinate design teams, including mentoring, appraising, and developing junior staff Plan, allocate, and control resources to ensure efficient project delivery and team performance Produce and review engineering designs, reports, and drawings in line with relevant standards and regulations Collaborate with clients, local authorities, developers, architects, and sub-consultants Manage project budgets, costs, and fee proposals while maintaining commercial awareness Ensure compliance with quality management systems, best practice, and continuous improvement processes Identify and manage design risks, ensuring health, safety, and sustainability are embedded in all projects Attend client meetings and site visits, maintaining strong professional relationships and communication Support business development through client engagement, marketing input, and promotion of the company's services Position Requirements Chartered Engineer (CEng) or Incorporated Engineer (IEng) working towards CEng with the Institution of Civil Engineers A degree or HND in Civil Engineering Background in collaborating with local authorities, developers, and architects on the civil engineering aspects of various schemes Consultancy experience is essential for this position Project management experience in civil engineering, covering schemes that integrate drainage, external works, and highways elements Experience with the design of on- and off-site highway features, in accordance with relevant standards and guidance (e.g. Design Manual for Roads and Bridges, Manual for Streets) Previous experience in delivering drainage designs, highway layouts, and S278/S38 schemes Skilled in the use of AutoCAD and Site 3D, or equivalent 3D design software A thorough understanding of Sewers for Adoption, building regulations, and the SuDS Manual Experience in line management, including conducting appraisals, identifying training requirements, and supporting the performance of junior team members Position Remuneration 5-hour workdays with flexible working hours, with a core hour requirement allowing for lifestyle and work life balance 24 days annual leave, increasing with length of service plus 8 bank holidays Day off on your birthday if it falls on a working day One community or charity day a year to allow you to support the person projects you love Salary sacrifice scheme with the opportunity to purchase or sell annual leave days. Christmas shut down Quarterly and yearly bonus schemes, offering the potential to earn more Private healthcare upon completion of probation period Bike to work scheme Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application.
May 20, 2026
Full time
Principal Civil Engineer Location: Fareham, Hampshire Hours: Monday to Friday, Flexible Opportunity with Core Hours Required Salary: Competitive Holiday: 32 days including bank holidays, Increasing with length of service. Sector: Civil Engineering Our client is a well-established, multi-disciplinary consultancy specialising in transport planning, travel planning, and civil and structural engineering services. The business has grown steadily in recent years and now operates across the UK, supporting both public and private sector clients on a wide range of development and infrastructure projects. They are known for delivering practical, high-quality solutions from early feasibility through to detailed design and project delivery, with a strong emphasis on collaboration and client-focused outcomes. With an experienced and technically strong team, the company provides end-to-end support, combining commercial awareness with in-depth knowledge of current legislation and industry standards. Our client places a strong emphasis on communication, long-term relationships, and continuous improvement, underpinned by their core values of customer focus, openness, results, and excellence. They have built a solid reputation for delivering reliable and innovative engineering solutions that enable successful development across a diverse portfolio of projects nationwide. Position Duties Lead and manage civil engineering projects across drainage, highways, and external works from planning through to construction Oversee and coordinate design teams, including mentoring, appraising, and developing junior staff Plan, allocate, and control resources to ensure efficient project delivery and team performance Produce and review engineering designs, reports, and drawings in line with relevant standards and regulations Collaborate with clients, local authorities, developers, architects, and sub-consultants Manage project budgets, costs, and fee proposals while maintaining commercial awareness Ensure compliance with quality management systems, best practice, and continuous improvement processes Identify and manage design risks, ensuring health, safety, and sustainability are embedded in all projects Attend client meetings and site visits, maintaining strong professional relationships and communication Support business development through client engagement, marketing input, and promotion of the company's services Position Requirements Chartered Engineer (CEng) or Incorporated Engineer (IEng) working towards CEng with the Institution of Civil Engineers A degree or HND in Civil Engineering Background in collaborating with local authorities, developers, and architects on the civil engineering aspects of various schemes Consultancy experience is essential for this position Project management experience in civil engineering, covering schemes that integrate drainage, external works, and highways elements Experience with the design of on- and off-site highway features, in accordance with relevant standards and guidance (e.g. Design Manual for Roads and Bridges, Manual for Streets) Previous experience in delivering drainage designs, highway layouts, and S278/S38 schemes Skilled in the use of AutoCAD and Site 3D, or equivalent 3D design software A thorough understanding of Sewers for Adoption, building regulations, and the SuDS Manual Experience in line management, including conducting appraisals, identifying training requirements, and supporting the performance of junior team members Position Remuneration 5-hour workdays with flexible working hours, with a core hour requirement allowing for lifestyle and work life balance 24 days annual leave, increasing with length of service plus 8 bank holidays Day off on your birthday if it falls on a working day One community or charity day a year to allow you to support the person projects you love Salary sacrifice scheme with the opportunity to purchase or sell annual leave days. Christmas shut down Quarterly and yearly bonus schemes, offering the potential to earn more Private healthcare upon completion of probation period Bike to work scheme Streamline Search is a technical recruitment agency based in Chichester, West Sussex operating across the United Kingdom. We are acting as a Recruitment Agency in relation to this vacancy, and in accordance with GDPR by applying to this post you are granting us consent to process your data and contact you in relation to this application.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Hiring! Security Cloud Engineer Role Title: Security Cloud Engineer Location: Manchester Hybrid: 3 days in office and 2 WRH Duration: Initial 3 months Rate: £400 - £430 Engagement: Inside IR35 Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional)
May 20, 2026
Contractor
Hiring! Security Cloud Engineer Role Title: Security Cloud Engineer Location: Manchester Hybrid: 3 days in office and 2 WRH Duration: Initial 3 months Rate: £400 - £430 Engagement: Inside IR35 Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional)
Python Developer Location : London Role Type: Permanent Work Setup: Hybrid Salary: £100K Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The role We have an exciting new opportunity for Python Developer to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do We are seeking an experienced Senior Python Engineer to drive delivery across complex banking and risk technology projects within a regulated Financial Services environment. You'll bring strong engineering expertise, a proven track record in building scalable enterprise solutions, and experience working within regulated banking settings. Comfortable collaborating with architecture, data, QA, and business teams, you'll play a key role in a wider transformation programme. Develop scalable Python-based enterprise applications and services. Build APIs, automation tools, and integration solutions. Contribute to risk and banking technology platform development. Collaborate with QA teams to ensure production-quality outputs. Support CI/CD processes, automation, and deployments. Write clean, maintainable, well-documented code and participate in technical workshops and stakeholder discussions. What You Bring Strong Python engineering background in Banking or Financial Services. Expertise in building enterprise-grade applications and services. Solid understanding of APIs, microservices, and distributed systems. Agile delivery experience. Proficient debugging, optimisation, and problem-solving skills. Familiarity with cloud platforms and DevOps tooling. Desirable Experience Experience with exposure to risk technology or counterparty risk platforms, along with hands-on experience in AWS or Azure cloud environments. Strong knowledge of infrastructure and containerization tools such as Terraform and Kubernetes. Familiarity with CI/CD pipelines, automation frameworks, SQL, and data engineering practices. Tech Stack: Python | FastAPI/Flask | SQL | Git | CI/CD Tools | Cloud Platforms (AWS preferred) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
May 20, 2026
Full time
Python Developer Location : London Role Type: Permanent Work Setup: Hybrid Salary: £100K Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes, opening doors for people with diverse skills, ambitions, and backgrounds. The role We have an exciting new opportunity for Python Developer to join Robert Walters as a Consultant. As a Consultant, you will benefit from permanent employment with Robert Walters and will be deployed on an assignment within our clients' organisations, in return we will provide you with the opportunity to develop your skills with ongoing training and professional support. This role offers an exciting opportunity to join a global business, providing top-tier service to our blue chip clients. What You'll Do We are seeking an experienced Senior Python Engineer to drive delivery across complex banking and risk technology projects within a regulated Financial Services environment. You'll bring strong engineering expertise, a proven track record in building scalable enterprise solutions, and experience working within regulated banking settings. Comfortable collaborating with architecture, data, QA, and business teams, you'll play a key role in a wider transformation programme. Develop scalable Python-based enterprise applications and services. Build APIs, automation tools, and integration solutions. Contribute to risk and banking technology platform development. Collaborate with QA teams to ensure production-quality outputs. Support CI/CD processes, automation, and deployments. Write clean, maintainable, well-documented code and participate in technical workshops and stakeholder discussions. What You Bring Strong Python engineering background in Banking or Financial Services. Expertise in building enterprise-grade applications and services. Solid understanding of APIs, microservices, and distributed systems. Agile delivery experience. Proficient debugging, optimisation, and problem-solving skills. Familiarity with cloud platforms and DevOps tooling. Desirable Experience Experience with exposure to risk technology or counterparty risk platforms, along with hands-on experience in AWS or Azure cloud environments. Strong knowledge of infrastructure and containerization tools such as Terraform and Kubernetes. Familiarity with CI/CD pipelines, automation frameworks, SQL, and data engineering practices. Tech Stack: Python | FastAPI/Flask | SQL | Git | CI/CD Tools | Cloud Platforms (AWS preferred) What's Next If you are ready to take the next step, apply now! Successful applicants will be contacted directly by a recruiter to discuss the role more. We are committed to creating an inclusive recruitment experience. If you require support or adjustments to the recruitment process, our Adjustment Concierge Service is here to help. Please feel free to contact us at (see below) to discuss how we can support you. This position is being recruited on behalf of our client through our Outsourcing service line. Resource Solutions Limited, trading as Robert Walters, acts as an employment business and agency, partnering with top organizations to help them find the best talent. We welcome applications from all candidates and are committed to providing equal opportunities.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Role Title: Cloud Security Engineer Start Date: ASAP End Date: 31st August 2026 (Extensions Available) Rate: £460p/d via Umbrella Location: Knutsford (3 Days per Week Onsite) Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
May 20, 2026
Contractor
Role Title: Cloud Security Engineer Start Date: ASAP End Date: 31st August 2026 (Extensions Available) Rate: £460p/d via Umbrella Location: Knutsford (3 Days per Week Onsite) Job Description: As an experienced Cloud Engineer your expertise will be utilised to drive the future of our cloud security software. You will play a key role in expanding our product roadmap, automating escalations and remediations, and offering insight into potential threats along with their mitigations. You'll also be involved in taking the knowledge you have and gain from our own CI/CD and Devops processes and apply them practically to contribute to and solve real world problems with dynamic business units and functions. Primary Responsibilities Drive cloud infrastructure enhancements in line with agreed budget and strategy. Work alongside engineers to contribute to the design and delivery of cloud services. Support stakeholders in leveraging and adopting the latest cloud-native application architectures. Ensure all architecture and cloud infrastructure accommodates the latest security and software life cycle patterns. Standard Technical Skills & Competencies Experience working in cloud environments with professional certifications (Azure, AWS, or GCP preferred). Experience in translating HLD and LLD into actionable designs. Proficiency in Scripting languages: PowerShell, Bash, and Python/Java. Experience with Scrum/Agile development methodologies. Expert understanding of and experience with CI/CD pipelines. Familiarity with SIEM tools, Security Controls, and Cloud Security Tooling. Experience with incident, problem, and change management processes. Experience with Wiz tooling (Wiz Cloud, Wiz Defend). Strong container knowledge, particularly in Docker and Kubernetes. Experience with Windows and Red Hat Linux operating systems. Experience in automation in an operational environment using Chef or similar tools. GCP Track Experience in creating Deployment Manager templates or Terraform for GCP infrastructure automation. Familiarity with IAM roles, Service Accounts, and Organization Policies in GCP. Hands-on experience with Cloud Build, Artifact Registry, and Cloud Deploy for CI/CD. Knowledge of GCP Networking (VPC, Firewall Rules, Cloud Load Balancing). Experience with Cloud Logging, Cloud Monitoring, and Security Command Center for observability and security posture. Understanding of GKE (Google Kubernetes Engine) and container orchestration in GCP. Desirable: Previous experience in the financial/regulated sector Bachelor's degree (or higher) in a related discipline CISSP (Certified Information Systems Security Professional) If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Role information: Production Engineer Salary up to 40,000 DOE Merthyr Tydfil South Wales Starting October 2026 Why join Marshall Land Systems in this role: The Production Engineer is responsible for developing a continuous improvement culture by supporting the implementation of lean techniques. Advising on systems, facility layouts and capital equipment to enhance the production and assembly process. Support new capital expenditure requirements, methods and commissioning as required. Working as part of a multidisciplinary production team, the Production Engineer ensures all work is carried out to the highest professional and technical standards while maintaining a strong focus on safety and continuous improvement. Your responsibilities in this role include: Support Project Management Plans (PMP) and Systems Engineering Management Plans (SEMP) by advising on production approaches Review product concepts and detailed designs, recommending process simplifications to reduce cost, complexity, and lead time Perform production engineering drawing checks for new and revised parts Develop standard processes that enable efficient, cost-effective production and assembly Identify requirements for jigs, fixtures, and tooling; support their development and alignment with assembly approaches via Statements of Work (SoW) Determine preferred Conditions of Supply (CoS) for parts and components Review proposed process changes against Process Failure Modes and Effects Analyses (PFMEA) Communicate process changes to Operations and support implementation Conduct or support root cause analyses for product quality issues, implementing corrective actions where necessary Evaluate and implement new technologies to improve production efficiency, reduce costs, and enhance quality Apply if you have most of the following: Experience in manufacturing, assembly, or vehicle build environments Experience interpreting technical drawings and engineering documentation Experience in a regulated or quality-controlled manufacturing environment (desirable) Technical Skills/education: Strong IT skills, including Microsoft Word and Excel Ability to engage and collaborate with stakeholders at all levels Excellent communication skills and proactive, dynamic attitude Broad knowledge of composite materials and manufacturing processes Experience in aerospace component manufacturing and AS9100-accredited assembly processes Demonstrable experience in a similar production engineering role Technical qualification relevant to production, engineering, or manufacturing (desirable) Experience with process improvement or lean manufacturing initiatives (desirable) The benefits of this role include: Opportunity to influence and optimise production processes across the facility Exposure to end-to-end production and assembly operations Involvement in continuous improvement and lean initiatives Development opportunities into senior production engineering or operations leadership roles Collaboration across multiple technical and operational functions Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
May 20, 2026
Full time
Role information: Production Engineer Salary up to 40,000 DOE Merthyr Tydfil South Wales Starting October 2026 Why join Marshall Land Systems in this role: The Production Engineer is responsible for developing a continuous improvement culture by supporting the implementation of lean techniques. Advising on systems, facility layouts and capital equipment to enhance the production and assembly process. Support new capital expenditure requirements, methods and commissioning as required. Working as part of a multidisciplinary production team, the Production Engineer ensures all work is carried out to the highest professional and technical standards while maintaining a strong focus on safety and continuous improvement. Your responsibilities in this role include: Support Project Management Plans (PMP) and Systems Engineering Management Plans (SEMP) by advising on production approaches Review product concepts and detailed designs, recommending process simplifications to reduce cost, complexity, and lead time Perform production engineering drawing checks for new and revised parts Develop standard processes that enable efficient, cost-effective production and assembly Identify requirements for jigs, fixtures, and tooling; support their development and alignment with assembly approaches via Statements of Work (SoW) Determine preferred Conditions of Supply (CoS) for parts and components Review proposed process changes against Process Failure Modes and Effects Analyses (PFMEA) Communicate process changes to Operations and support implementation Conduct or support root cause analyses for product quality issues, implementing corrective actions where necessary Evaluate and implement new technologies to improve production efficiency, reduce costs, and enhance quality Apply if you have most of the following: Experience in manufacturing, assembly, or vehicle build environments Experience interpreting technical drawings and engineering documentation Experience in a regulated or quality-controlled manufacturing environment (desirable) Technical Skills/education: Strong IT skills, including Microsoft Word and Excel Ability to engage and collaborate with stakeholders at all levels Excellent communication skills and proactive, dynamic attitude Broad knowledge of composite materials and manufacturing processes Experience in aerospace component manufacturing and AS9100-accredited assembly processes Demonstrable experience in a similar production engineering role Technical qualification relevant to production, engineering, or manufacturing (desirable) Experience with process improvement or lean manufacturing initiatives (desirable) The benefits of this role include: Opportunity to influence and optimise production processes across the facility Exposure to end-to-end production and assembly operations Involvement in continuous improvement and lean initiatives Development opportunities into senior production engineering or operations leadership roles Collaboration across multiple technical and operational functions Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
May 20, 2026
Full time
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
AI Product Engineer (Full Stack / AI Systems) We are building a new generation of AI-powered products and are looking for a hands-on AI Product Engineer to help design, build, and scale intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products. Key responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services and APIs using modern cloud infrastructure C#, .NET Experience Develop responsive frontend applications and translate product designs into working interfaces Work with event-driven and distributed systems where required Collaborate closely with product, engineering, and operations teams to deliver customer-facing AI features Contribute to system design decisions including scalability, observability, and reliability What we're looking for Strong full-stack engineering experience (frontend + backend development) Experience building or shipping AI/LLM-powered features in production Understanding of prompt engineering, LLM behaviour, and AI failure modes (e.g. drift, hallucination, context issues) Experience working with cloud platforms (AWS or Azure) Strong backend engineering skills (APIs, data flow, system design) Comfortable debugging complex production issues across distributed systems Ability to work with frontend engineers and product teams collaboratively Strong curiosity and product mindset - asking the right questions, not just writing code Desirable experience RAG (Retrieval-Augmented Generation) systems or agent-based AI workflows Kubernetes or containerised deployment environments Event-driven architectures and scalable system design Experience translating UI/UX designs (e.g. Figma) into production frontend code Familiarity with Vue, React, or similar frameworks Exposure to enterprise-scale AI or data-heavy applications What sets this role apart You will be working directly on real AI systems in production, not prototypes You will be expected to debug AI behaviour, not just infrastructure issues You will own the full journey from idea product feature production AI system You will help shape how AI is embedded into core product experiences What we offer Competitive salary (based on experience) Hybrid working model Opportunity to work on cutting-edge AI product development High autonomy and influence over technical direction Exposure to modern AI tooling and agent-based development workflow Interested? Please Click Apply Now! AI Product Engineer (Full Stack / AI Systems)
May 20, 2026
Full time
AI Product Engineer (Full Stack / AI Systems) We are building a new generation of AI-powered products and are looking for a hands-on AI Product Engineer to help design, build, and scale intelligent systems in production. This is not a pure research or infrastructure role. We are looking for someone who can bridge product thinking, software engineering, and real-world AI system behaviour, turning ideas into reliable, production-ready features used at scale. You will work across the full stack, with a strong focus on building AI-driven user-facing features, debugging LLM behaviour in production, and shaping how AI is embedded into real products. Key responsibilities Design and build AI-powered product features end-to-end (frontend, backend, and AI layer) Work with LLMs in production environments, including prompt design, tuning, and debugging AI behaviour Investigate and resolve production issues such as hallucinations, incorrect outputs, and context injection failures Build scalable backend services and APIs using modern cloud infrastructure C#, .NET Experience Develop responsive frontend applications and translate product designs into working interfaces Work with event-driven and distributed systems where required Collaborate closely with product, engineering, and operations teams to deliver customer-facing AI features Contribute to system design decisions including scalability, observability, and reliability What we're looking for Strong full-stack engineering experience (frontend + backend development) Experience building or shipping AI/LLM-powered features in production Understanding of prompt engineering, LLM behaviour, and AI failure modes (e.g. drift, hallucination, context issues) Experience working with cloud platforms (AWS or Azure) Strong backend engineering skills (APIs, data flow, system design) Comfortable debugging complex production issues across distributed systems Ability to work with frontend engineers and product teams collaboratively Strong curiosity and product mindset - asking the right questions, not just writing code Desirable experience RAG (Retrieval-Augmented Generation) systems or agent-based AI workflows Kubernetes or containerised deployment environments Event-driven architectures and scalable system design Experience translating UI/UX designs (e.g. Figma) into production frontend code Familiarity with Vue, React, or similar frameworks Exposure to enterprise-scale AI or data-heavy applications What sets this role apart You will be working directly on real AI systems in production, not prototypes You will be expected to debug AI behaviour, not just infrastructure issues You will own the full journey from idea product feature production AI system You will help shape how AI is embedded into core product experiences What we offer Competitive salary (based on experience) Hybrid working model Opportunity to work on cutting-edge AI product development High autonomy and influence over technical direction Exposure to modern AI tooling and agent-based development workflow Interested? Please Click Apply Now! AI Product Engineer (Full Stack / AI Systems)
We're looking for a Sub Agent to join our Thames Water framework team working on our Maple Lodge project, Rickmansworth. Location: Maple Lodge, Rickmansworth Hours: 45 hours per week - some flexibility on hours available if desired, just let us know when you speak to us. We are unable to offer certificates of sponsorship to any candidates in this role. Join us as a Sub Agent on one of Thames Water's most significant infrastructure upgrades at Maple Lodge Sewage Treatment Works. This major scheme will play a vital role in increasing treatment capacity, improving environmental performance and strengthening long-term resilience for the region. It's an excellent opportunity to take a key delivery role on a high-profile project, helping to coordinate complex civil, mechanical, electrical and process engineering works that will make a lasting difference for customers, communities and the environment. This is a rare chance to support the safe, efficient and high-quality delivery of a critical section of works on a project designed for the future. You'll help manage programme, engineering coordination, supply chain performance and day-to-day site delivery as major new assets, upgraded treatment processes and enhanced site-wide infrastructure are brought into service. What will you be responsible for? As a Sub Agent, you'll be working within the site operations team, supporting them in the successful delivery of wastewater construction works. Your day to day will include: Leading and coordinating day-to-day site operations, ensuring all construction activities are delivered safely, efficiently and according to design specifications Managing subcontractors and direct labour to meet programme milestones, driving performance and accountability across the delivery team Acting as the key point of contact for site-based technical issues, ensuring timely resolution and escalation where appropriate Monitoring progress, recording site data and providing accurate input into project reporting and commercial forecasting Promoting and maintaining adherence to environmental, health and safety legislation, including CDM Regulations What are we looking for? This role of Sub Agent is great for you if: You hold an HNC/HND or Bachelor's degree (or demonstrable equivalent experience) in civil engineering or a construction-related discipline You have excellent site management capabilities with sound knowledge of construction methodologies, sequencing and safe systems of work, supported by possession of a valid CSCS card You have strong leadership, organisational and stakeholder coordination skills, with the ability to drive performance on site You have excellent communication and interpersonal skills, with the ability to build effective working relationships across multidisciplinary teams You hold a Full driving licence to facilitate travel across project locations We're all about finding potential here at Kier, and transferrable skills are always welcome! So, even if you don't tick every box, please apply and we can have a chat. Rewards and benefits We're proud to be able to offer our brilliant people a wide variety of benefits that you can tailor to your needs. You can see more information of benefits here. Diversity and inclusion Making Kier a diverse and inclusive place to work is a huge priority for us. We're proud of the steps we've taken so far, but we know we must always do more. Our employees are key in shaping Kier's diversity and inclusion initiatives and our people have made a huge impact on how we work, by using their experiences to shape our policies. You can see our D&I action plan here. As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this role will be offered an interview. We look forward to seeing your application to . Matched pension scheme up to 7.5%, Life Assurance, Enhanced Family Friendly Policies, Discounts on go-to brands, Free Heath and wellbeing services, Training and development schemes, Electric Vehicle Leasing, Paid volunteering leave.
May 20, 2026
Full time
We're looking for a Sub Agent to join our Thames Water framework team working on our Maple Lodge project, Rickmansworth. Location: Maple Lodge, Rickmansworth Hours: 45 hours per week - some flexibility on hours available if desired, just let us know when you speak to us. We are unable to offer certificates of sponsorship to any candidates in this role. Join us as a Sub Agent on one of Thames Water's most significant infrastructure upgrades at Maple Lodge Sewage Treatment Works. This major scheme will play a vital role in increasing treatment capacity, improving environmental performance and strengthening long-term resilience for the region. It's an excellent opportunity to take a key delivery role on a high-profile project, helping to coordinate complex civil, mechanical, electrical and process engineering works that will make a lasting difference for customers, communities and the environment. This is a rare chance to support the safe, efficient and high-quality delivery of a critical section of works on a project designed for the future. You'll help manage programme, engineering coordination, supply chain performance and day-to-day site delivery as major new assets, upgraded treatment processes and enhanced site-wide infrastructure are brought into service. What will you be responsible for? As a Sub Agent, you'll be working within the site operations team, supporting them in the successful delivery of wastewater construction works. Your day to day will include: Leading and coordinating day-to-day site operations, ensuring all construction activities are delivered safely, efficiently and according to design specifications Managing subcontractors and direct labour to meet programme milestones, driving performance and accountability across the delivery team Acting as the key point of contact for site-based technical issues, ensuring timely resolution and escalation where appropriate Monitoring progress, recording site data and providing accurate input into project reporting and commercial forecasting Promoting and maintaining adherence to environmental, health and safety legislation, including CDM Regulations What are we looking for? This role of Sub Agent is great for you if: You hold an HNC/HND or Bachelor's degree (or demonstrable equivalent experience) in civil engineering or a construction-related discipline You have excellent site management capabilities with sound knowledge of construction methodologies, sequencing and safe systems of work, supported by possession of a valid CSCS card You have strong leadership, organisational and stakeholder coordination skills, with the ability to drive performance on site You have excellent communication and interpersonal skills, with the ability to build effective working relationships across multidisciplinary teams You hold a Full driving licence to facilitate travel across project locations We're all about finding potential here at Kier, and transferrable skills are always welcome! So, even if you don't tick every box, please apply and we can have a chat. Rewards and benefits We're proud to be able to offer our brilliant people a wide variety of benefits that you can tailor to your needs. You can see more information of benefits here. Diversity and inclusion Making Kier a diverse and inclusive place to work is a huge priority for us. We're proud of the steps we've taken so far, but we know we must always do more. Our employees are key in shaping Kier's diversity and inclusion initiatives and our people have made a huge impact on how we work, by using their experiences to shape our policies. You can see our D&I action plan here. As a Disability Confident employer, we will ensure that a fair and proportionate number of disabled applicants that meet the minimum criteria for this role will be offered an interview. We look forward to seeing your application to . Matched pension scheme up to 7.5%, Life Assurance, Enhanced Family Friendly Policies, Discounts on go-to brands, Free Heath and wellbeing services, Training and development schemes, Electric Vehicle Leasing, Paid volunteering leave.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
May 20, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams." Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment." Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data." Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring." Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery." Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata)." Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving." End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices." Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. 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.
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
May 20, 2026
Full time
Job Title: Assistant Engineering Manager Location: New Malden, Broad Oak . Hybrid 3 days/week onsite. Salary: Circa £50,000 (dependent on skills and experience) Job Description: The Assistant Engineering Manager is responsible for supporting the engineering delivery of Project Hopper, the Shared Infrastructure and Combat Management System obsolescence programme, and reports to the Hopper Engineering Manager . Project Hopper is a critical delivery into both the T26 Build Programme and the RECODE In-Service Technical Refresh Programme and encompasses both Hardware and Software obsolescence updates. The Hopper Assistant Engineering Manager will support the Hopper Engineering Manager and Hopper Technical Authority to ensure the efficient and robust delivery of the Engineering scope, including involvement in the unique Hopper governance model, which steers the product development. The Assistant Engineering Manager is a key member of the Hopper team and supports the team in ensuring that the solution produced provides the appropriate level of assurance, reliability, and performance characteristics required to achieve the Project aims. What you'll be doing: Supporting the Technical Authority and Engineering Manager in the management of Project Engineering activities, including providing help and direction on the overall project delivery; Managing the planning of Engineering tasks, both within the Project and feeding into the Product level planning; Identifying, assessing and managing risks to the success of the project; Supporting interactions with the Project Technical Council and complex stakeholder network; Preparing for and supporting design review assessments of the Project Your skills and experiences: Experience in systems or software engineering delivery with strong knowledge of Engineering governance processes The ability to manage complex technical issues and make engineering judgements with support from subject matter experts Good problem-solving skills for routine or moderate complexity situations A good understanding of stakeholder management and how it can be applied to the benefit of the Project All engineers should hold a relevant engineering or STEM qualification along with appropriate academic or professional credentials, be supported to achieve Incorporated or Chartered status through a recognised institution, and candidates who are already professionally registered will be preferred. Combat Systems: Project Hopper Project Hopper is a Technology refresh programme for the Shared Infrastructure (SI) and Combat Management System (CMS) products. The team are bringing together the latest technologies and ways of working to deliver a modern, high-performance product that can support the whole surface ships fleet. This role is at the heart of the Project and requires regular engagement with the MoD, key suppliers and internal stakeholders, providing good visibility of the wider business, great opportunities to develop and enhance your skills and knowledge, and with the potential for future opportunities and growth. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date : 2nd June 2026. Interviews for this position will take place W/C 8th June. We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Senior Accounts Payable Specialist Leeds - (hybrid - minimum 2 days a week in the office) Permanent Summary We're seeking a Senior Accounts Payable Specialist to join our Finance Shared Services team based in our Leeds office. You'll be responsible for owning and delivering the end-to-end subcontractor Accounts Payable process, ensuring payments are accurate, compliant, and delivered in line with business and statutory requirements. As a subject matter expert (SME) in subcontractor processing and CIS, you'll play a key role in maintaining strong financial controls, resolving escalations, supporting the wider team, and driving continuous improvement across the AP function. Key Deliverables Deliver accurate and timely processing of subcontractor invoices, ensuring correct application of CIS, VAT, and coding in line with company standards Successfully prepare and deliver weekly BACS payment runs and ensure all manual payments (CHAPS/TT) are processed accurately and within deadlines Ensure full compliance with HMRC CIS regulations, VAT requirements, and internal financial controls, always maintaining audit-ready documentation Maintain accurate and up-to-date supplier master data, ensuring integrity, correct onboarding, and adherence to governance processes Act as the primary escalation point for supplier and internal queries, ensuring timely resolution and minimal impact on payment timelines Build and maintain effective working relationships across Finance, Procurement, Commercial, and Operational teams to resolve issues and improve processes Identify and implement efficiencies and improvements to enhance productivity, reduce errors, and streamline AP processes Support internal and external audits, proactively identifying and mitigating compliance or process risks Contribute to system enhancements, testing, and automation initiatives, ensuring improvements are effectively implemented Act as a subject matter expert, providing guidance and mentoring to colleagues and supporting overall team capability What we're looking for Proven experience in Accounts Payable, ideally within a subcontractor/CIS environment Strong understanding of CIS regulations and BACS payment processes Experience using financial systems (e.g. Access Dimensions, COINS or similar High attention to detail and strong focus on accuracy and compliance Strong communication and stakeholder management skills Ability to manage workload independently and meet deadlines Desirable Experience delivering process improvements or automation initiatives Exposure to audit processes and financial controls frameworks Experience mentoring or supporting team development Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
May 20, 2026
Full time
Senior Accounts Payable Specialist Leeds - (hybrid - minimum 2 days a week in the office) Permanent Summary We're seeking a Senior Accounts Payable Specialist to join our Finance Shared Services team based in our Leeds office. You'll be responsible for owning and delivering the end-to-end subcontractor Accounts Payable process, ensuring payments are accurate, compliant, and delivered in line with business and statutory requirements. As a subject matter expert (SME) in subcontractor processing and CIS, you'll play a key role in maintaining strong financial controls, resolving escalations, supporting the wider team, and driving continuous improvement across the AP function. Key Deliverables Deliver accurate and timely processing of subcontractor invoices, ensuring correct application of CIS, VAT, and coding in line with company standards Successfully prepare and deliver weekly BACS payment runs and ensure all manual payments (CHAPS/TT) are processed accurately and within deadlines Ensure full compliance with HMRC CIS regulations, VAT requirements, and internal financial controls, always maintaining audit-ready documentation Maintain accurate and up-to-date supplier master data, ensuring integrity, correct onboarding, and adherence to governance processes Act as the primary escalation point for supplier and internal queries, ensuring timely resolution and minimal impact on payment timelines Build and maintain effective working relationships across Finance, Procurement, Commercial, and Operational teams to resolve issues and improve processes Identify and implement efficiencies and improvements to enhance productivity, reduce errors, and streamline AP processes Support internal and external audits, proactively identifying and mitigating compliance or process risks Contribute to system enhancements, testing, and automation initiatives, ensuring improvements are effectively implemented Act as a subject matter expert, providing guidance and mentoring to colleagues and supporting overall team capability What we're looking for Proven experience in Accounts Payable, ideally within a subcontractor/CIS environment Strong understanding of CIS regulations and BACS payment processes Experience using financial systems (e.g. Access Dimensions, COINS or similar High attention to detail and strong focus on accuracy and compliance Strong communication and stakeholder management skills Ability to manage workload independently and meet deadlines Desirable Experience delivering process improvements or automation initiatives Exposure to audit processes and financial controls frameworks Experience mentoring or supporting team development Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: We are one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. Working across a variety of sectors within the building and infrastructure industry, our innovative, responsible and forward-thinking approach allows us to work on fantastic ground-breaking projects, providing solutions using the latest tools and technologies. Progression is something we value, and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
May 20, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
