Cd jobs in United Kingdom

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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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 l atency , highly reliable cloud b ased 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 sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding 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., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal 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., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 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.

White Collar Factory (95009), United Kingdom, London, London Software Engineering Manager - Services About this role Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a Software Engineering team and be passionate about people and technical leadership. What you’ll do • Be a differential people leader. Literally. We expect you to coach and nurture your engineers and make a material positive difference to their careers and impact on the business., • Bring technical leadership to your team. We don’t require you to code, but we do expect you to stay close to your team’s work, set a high bar for engineering, understand technical risks and influence architectural thinking and decisions., • Bring context and purpose to your team. You will ensure your team understands the why behind the work they do, and you will be intentional about how you own and shape culture., • Own ways of working and deliveries, partnering with your Product Owner and Change Delivery Lead to shape roadmaps and lead frequent delivery of high quality software in a complex regulatory environment, • Own one or more business applications, keeping them well-managed and compliant with the high bar set by the business, • Be a manager for the business, elevating your thinking beyond your immediate team. You’ll represent the interests and context of the business to your engineers, and help make the environment beyond your immediate team a better place. What we’re looking for An approachable and inquisitive problem-solving leader, with a focus on the why, and a passion for growing people, nurturing culture and leading technical delivery to help us get things done and make things better in a complex, regulatory environment. We are looking for: • Previous experience in leading teams, growing engineers and dealing with conflict, constructively and collaboratively, • Previous experience of having been an experienced software engineer, and somebody who remains comfortable with technology, architectural decisions and technical trade-offs, • Previous experience in our backend tech stack - Java, Spring, AWS and who is a strong advocate of tight feedback loops through mechanisms including, but not limited to automated tests, CI/CD pipelines and frequent releases, • A balance of self-reflection and bias for action, • Strong ownership and excellent communication, • A drive for positive, proactive impact We understand that great engineering managers may not have everything listed here, and that is OK. If you believe you can make a difference, lead a happy & high-performing engineering team and you have the drive to make a positive impact on the business, we’d love to hear from you. What’s in it for you: • A people and technical leadership role in an engineering organisation that actively values excellence and doing the right thing, in a business that cares for its associates and has interesting problems to solve around growth, security, availability and performance in a highly regulated space., • A learning environment with access to many excellent resources including online technical courses and in-person leadership training, • A competitive salary and immediate access to core benefits including salary sacrifice pension scheme with up to 10% company contribution, bonus, generous holiday entitlement, private medical insurance and flexible benefits including season ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspace and facilities designed to inspire and support you. In our (quite beautiful) London office, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you’ll get to learn (any previous experience would be advantageous) • Solve real world problems, navigate ambiguity and deliver on the public cloud (AWS) to drive growth and operational efficiencies in an ambitious and growing UK business, • Influence change in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront – to provide LGBTQ+ support for all associates, • Mind Your Mind – signposting support and promoting positive mental wellbeing for all, • Women in Tech – promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

White Collar Factory (95009), United Kingdom, London, London Software Engineering Manager About this role Capital One is looking for a Software Engineering Manager to join us in our London office. You will have previous experience of leading a Software Engineering team and be passionate about people and technical leadership. What you’ll do * Be a differential people leader. Literally. We expect you to coach and nurture your engineers and make a material positive difference to their careers and impact on the business. * Bring technical leadership to your team. We don’t require you to code, but we do expect you to stay close to your team’s work, set a high bar for engineering, understand technical risks and influence architectural thinking and decisions. * Bring context and purpose to your team. You will ensure your team understands the why behind the work they do, and you will be intentional about how you own and shape culture. * Own ways of working and deliveries, partnering with your Product Owner and Change Delivery Lead to shape roadmaps and lead frequent delivery of high quality software in a complex regulatory environment * Own one or more business applications, keeping them well-managed and compliant with the high bar set by the business * Be a manager for the business, elevating your thinking beyond your immediate team. You’ll represent the interests and context of the business to your engineers, and help make the environment beyond your immediate team a better place. What we’re looking for An approachable and inquisitive problem-solving leader, with a focus on the why, and a passion for growing people, nurturing culture and leading technical delivery to help us get things done and make things better in a complex, regulatory environment. We are looking for: * Previous experience in leading teams, growing engineers and dealing with conflict, constructively and collaboratively * Previous experience of having been an experienced software engineer, and somebody who remains comfortable with technology, architectural decisions and technical trade-offs * Previous experience in our backend tech stack - Java, Spring, AWS and who is a strong advocate of tight feedback loops through mechanisms including, but not limited to automated tests, CI/CD pipelines and frequent releases * A balance of self-reflection and bias for action * Strong ownership and excellent communication * A drive for positive, proactive impact We understand that great engineering managers may not have everything listed here, and that is OK. If you believe you can make a difference, lead a happy & high-performing engineering team and you have the drive to make a positive impact on the business, we’d love to hear from you. What’s in it for you: * A people and technical leadership role in an engineering organisation that actively values excellence and doing the right thing, in a business that cares for its associates and has interesting problems to solve around growth, security, availability and performance in a highly regulated space. * A learning environment with access to many excellent resources including online technical courses and in-person leadership training * A competitive salary and immediate access to core benefits including salary sacrifice pension scheme with up to 10% company contribution, bonus, generous holiday entitlement, private medical insurance and flexible benefits including season ticket loans, cycle to work scheme and enhanced parental leave * Open-plan workspace and facilities designed to inspire and support you. In our (quite beautiful) London office, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you’ll get to learn (any previous experience would be advantageous) * Solve real world problems, navigate ambiguity and deliver on the public cloud (AWS) to drive growth and operational efficiencies in an ambitious and growing UK business * Influence change in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry * Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As a Fortune 5 business, we're one of the world's leading healthcare companies. There are no limits here on the resources you'll have or the challenges you'll encounter. We have been supporting global healthcare systems from Ireland and the UK for more than 20 years, building a dynamic and diverse team of more than 2,100 talented individuals. With a continued record of growth and stability, we're on the constant lookout for fresh talent to join our expanding teams. Opportunities at Change Healthcare, part of the Optum family of businesses. We are transforming the health care system through innovative technology and analytics. Find opportunities to make a difference in a variety of career areas as we all play a role in accelerating health care transformation. Help us deliver cutting-edge solutions for patients, hospitals and insurance companies, resulting in healthier communities. Use your talents to improve the health outcomes of millions of people and discover the meaning behind: Caring. Connecting. Growing together. What you'll do: The Site Reliability Engineer is a member of Cloud Operations Automation team and is responsible for the reliability, security and efficiency of Change Healthcare's cloud environments and products that comprise Enterprise Imaging solutions. The engineer will also participate in the Cloud Operations team activities including continuous delivery, configuration changes, performance monitoring and ensuring high availability of systems. The engineer will be an active leader on the incident management process including triaging and resolution of incidents. Schedule: You'll enjoy the flexibility to work remotely* from anywhere within the UK as you take on some tough challenges and you'll be required to work 24×7 shift-based support with rotating on-call. Primary Responsibilities: • Works as a software tools developer in the cloud operations team, • Define and drive automation of cloud operations and deployment using different toolset, • Define and drive implementation of Cloud Operations procedures, • Define and implement effective and reliable cloud infrastructure, • 24×7 shift-based support with rotating on-call You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role, as well as providing development for other roles you may be interested in. Required Qualifications: • Bachelor's degree in information systems, Computer Science, Engineering, or related field or equivalent experience, • Proven record of experience and success in administration of cloud infrastructure and deployed applications for enterprise SaaS or PaaS companies in public clouds such as GCP (Preferred), AWS, Azure, • Proven solid programming experience in any of the platforms like python, node.js, or any other language, • Proven good experience in creating CI/CD process or managing Kubernetes environments or creating terraform IaC pipelines, • Demonstrated solid foundation in Linux/Windows operating systems and tools, • Proven ability to work 24×7 shift-based support with rotating on-call Preferred Qualifications: • Demonstrated knowledge of cloud networking, cloud security, centralized loggings and monitoring tools, • Demonstrated proficiency with DevOps tools and environments like Jenkins, Git, and Ansible *All telecommuters will be required to adhere to the UnitedHealth Group's Telecommuter Policy. Please note you must currently be eligible to work and remain indefinitely without any restrictions in the country to which you are making an application. Proof will be required to support your application. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. © 2026 UnitedHealth Group. All rights reserved. #BBMEMEA

Site Reliability Engineer (Security Cleared) • Salary to £60k + Company Options Scheme, • Preference for hybrid working between your home, their offices (London Vauxhall) & client sites however fully remote working may be considered for the ideal candidate. NB: Please only apply if you already have UK Security Clearance (SC). Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. They’re growing fast and looking for bright, dynamic people to help build their business. Role They’re looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. You’ll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. You’ll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. You’ll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment status. If you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC

Contract: Inside IR35 (Client-run PAYE – no umbrella required)Clearance:Active SC Clearance (essential)Location: Hybrid - 1 day per week in London VictoriaAbout the Role We are seeking an experienced AWS DevOps Engineer for an inside IR35 contract role supporting a secure, high-profile programme. The role is hybrid, and the client operates their own payroll, covering employer National Insurance, so contractors can work on a straightforward PAYE basis without using an umbrella company.Key Responsibilities • Design, build, and maintain AWS cloud infrastructure using DevOps best practices., • Implement and support CI/CD pipelines and infrastructure as code., • Ensure high availability, security, and performance across AWS environments., • Collaborate closely with engineering, security, and delivery teams., • Support automation, monitoring, and continuous improvement activities.Skills & Experience Required, • Strong experience as an AWS DevOps Engineer in complex environments., • Hands-on experience with AWS services and cloud-native tooling., • Experience with CI/CD, automation, and infrastructure as code (e.g. Terraform, CloudFormation)., • Strong understanding of security best practices in cloud environments., • Active SC Clearance is mandatory.

Azure Data Engineer (SC Cleared) Data Engineer (Azure) in Public Sector Consultancy environment Please note you must have an existing and ACTIVE SC Clearance to be considered We’re looking for Data Engineers of varying levels (Mid, Senior, Principal), on a permanent basis to join a growing consultancy delivering modern data platforms and analytics solutions across public sector clients. Location: must be able to travel to either London or Manchester (Hybrid, weekly - expenses are covered) Salary: £45,000 – £95,000 - dependent on level/experience (mid, senior, principle) Security Clearance: SC active Requirements: • Databricks and Spark / PySpark (absolute must haves), • Azure and AWS experience, • Data warehouses / lakehouse platforms, • CI/CD and modern engineering practices, • Public sector/Central government, • SC Clearance - must be current and active

Role: Senior Azure DevOps Engineer (Kafka) Location: Remote (UK) Salary: £75k + 10% Bonus Key Skills: • Azure, • Terraform, • Kubernetes, • Kafka, • Data platforms Overview We're partnering with a fast-growing SaaS organisation building a modern, data-driven platform that powers better insight into behaviour, performance, and collaboration at scale. They're scaling their platform capability and are now looking for a Platform Engineer to help design, build, and evolve their cloud and data infrastructure. This is a hands-on role spanning cloud infrastructure, DevOps, and data platform engineering. The Role You'll work across Azure cloud infrastructure and data platforms, helping to build scalable, secure systems and improve how data flows across the organisation. You'll also play a key role in improving deployment processes, system reliability, and overall platform performance, working closely with software and data teams. Key Responsibilities • Design and manage scalable Azure cloud infrastructure, • Own Infrastructure as Code using Terraform, • Build and maintain CI/CD pipelines using GitHub Actions (essential), • Support GitHub-based release and deployment workflows, • Work with Kafka for event-driven streaming and real-time data movement, • Support and evolve data platforms (Databricks ideal), • Build and maintain data pipelines (batch + streaming / ETL / ELT), • Improve platform reliability, observability, and performance, • Collaborate with engineering teams to improve developer experience Requirements • Strong Azure cloud experience, • Background in Platform Engineering, DevOps, or SRE, • Strong experience with GitHub Actions for CI/CD (essential), • Kubernetes, Docker, and Terraform experience, • Strong scripting skills (Python, Bash, or PowerShell), • Experience with Kafka or similar streaming platforms, • Experience with Databricks or modern data platforms (e.g. Snowflake, Synapse, BigQuery), • Strong understanding of data pipelines and distributed systems, • Focus on automation, scalability, and reliability Nice to Have • Lakehouse or large-scale data platform experience, • Observability tooling (Datadog, Grafana, Prometheus), • SaaS / high-growth product experience, • Strong developer experience mindset

LEAD SOFTWARE DEVELOPER - SC CLEARED NEW PERMANENT OPPORTUNITY IN LONDON FOR A SECURITY CLEARED LEAD DEVELOPER • Exciting new opportunity for a Lead Developer to work on UK Govt. projects, • SC Clearance required, • Based in London (Hybrid - 1 day per fortnight in the office), • Salary up to £90,000 + company benefits Join a leading UK consultancy delivering innovative software solutions for high-profile government projects. You'll work alongside talented engineers and consultants to design, build, and deploy systems that make a real impact on national-scale initiatives. The Role We're looking for an experienced Lead Software Developer to take technical ownership of full-stack solutions across multiple government programmes. You'll guide teams through the entire software development lifecycle - from architecture and design through to implementation and delivery - ensuring best practices, scalability, and security throughout. This is a hands-on leadership position where you'll balance technical delivery with mentoring and architectural direction. Key Responsibilities • Lead the design, development, and deployment of full-stack applications using Java, React, JavaScript, and AWS., • Provide technical leadership and direction to development teams., • Collaborate with architects, product owners, and stakeholders to deliver secure and scalable solutions., • Champion best practices in agile delivery, CI/CD, testing, and cloud-native development., • Support and mentor junior and mid-level developers., • Ensure all solutions meet government and security compliance standards. Skills & Experience Essential: • Active SC Clearance., • Strong background in Java and React development., • Proficiency with AWS and modern JavaScript frameworks., • Experience leading technical teams or projects in an agile environment., • Previous experience working in a consultancy or client-facing environment., • Exposure to UK Government or public sector projects., • Knowledge of microservices architecture, DevOps practices, and automation tooling. Why Join • Work on high-impact government projects with real-world significance., • Join a collaborative consultancy that values innovation, integrity, and growth., • Hybrid working - just 1 day per fortnight in the London office., • Competitive salary, training, and professional development support. Ready to take the lead on meaningful projects? Apply now to join a team where your technical expertise drives lasting impact.

Cloud Systems Engineer (SC Cleared) / 2 months (initially) / London (Hybrid) / £400-£500pd (Inside IR35) I am currently working with a leading consultancy to find a SC Cleared Cloud Systems Engineer. This will be a 2 month initial project, Inside IR35 and will require hybrid working in Central London. This will be flexible and ideally work out at circa 4 days per month. You will be working to create low level desgins, within an already established team supporting a high profile end client. If succesful you will the be extended to work on the implementation of the LLD's.Skills & experience needed: • Terraform - experienced in writing, modularizing, and maintaining Terraform to manage Azure resources., • Ansible - ability to use Ansible for guest-level configuration, particularly for EUC image hardening, application deployment, and maintaining desired state across hybrid endpoints., • Version Control & CI/CD (GitHub) - managing GitHub Actions for automated deployment workflows, branching strategies, and protected environments., • Active SC Clearance - Ideally used your SC this year. This is essential due to the nature of the end clients work. For this positon we are looking for someone to start asap, so ideally you will be available within a maximum of 2 weeks notice. If interested, please apply with your latest CV and I will be in touch to discuss in more detail.

DevOps Engineer Imagine a role where your expertise sets technical direction, influences engineering culture, and shapes how modern cloud platforms are built and operated. This is an opportunity to join a forward-thinking organisation where your experience, judgement, and leadership will have a lasting impact. As a DevOps Engineer, you will play a key role in defining and advancing the DevOps strategy across the organisation. Acting as a technical authority, you will partner closely with engineering, product, and architecture teams—both onshore and offshore—to implement best-in-class DevOps practices and evolve a modern, serverless AWS platform. You will have significant influence over tooling, architecture, and ways of working, helping to mature the DevOps function and embedding reliability, security, and automation at scale. Key Responsibilities • Provide technical leadership and subject matter expertise across DevOps and cloud engineering, • Influence architectural and technology decisions, particularly within AWS serverless ecosystems, • Design, build and evolve robust CI/CD pipelines to support rapid, reliable software delivery, • Partner with development teams to ensure solutions are scalable, resilient, and production-ready, • Champion reliability engineering practices, including monitoring, alerting, and incident response, • Drive high availability and operational excellence through proactive troubleshooting and optimisation, • Define and enforce Infrastructure as Code (IaC) and Immutable Infrastructure standards, • Lead and contribute to design reviews, architectural discussions and code reviews, • Establish strong security practices, ensuring systems and data are protected by design, • Mentor and support engineers, fostering collaboration, quality, and continuous improvement, • Stay ahead of emerging DevOps and cloud technologies, introducing improvements where valuableWhat We’re Looking For, • Significant experience in DevOps or Platform Engineering roles within cloud-native environments, • Strong software engineering background, preferably with hands-on development experience, • Ability to balance strategic thinking with hands-on delivery, • A pragmatic, collaborative approach with excellent communication and stakeholder-management skills, • A platform-engineering mindset, with deep understanding of trade-offs and designing for failure, • Strong, hands-on AWS experience, including: Lambda, DynamoDB, AWS SAM, • Solid networking and security knowledge, including VPCs, security groups and VPNsTechnologies You’ll Work With, • AWS Cloud Services & AWS Developer Tools, • JavaScript / TypeScript & Node.js, • SQL, • Git, • Docker & ECS, • Serverless Framework If you’re ready to lead, influence, and build the future of DevOps, we’d love to hear from you.

Role: Senior Security Architect Location: London - needs to be onsite Wednesday and Friday Duration: 6 month contract Rate: £625 per day - Inside of IR35 We are seeking an experienced Senior Security Architect to provide security design leadership across major technology change initiatives within a Higher Education / public-sector-style environment. This role will focus on security architecture assurance, reviewing High-Level Designs (HLDs) and Low-Level Designs (LLDs), advising delivery teams, and ensuring solutions align with agreed security control baselines, organisational risk appetite, and recognised security frameworks. Key Responsibilities • Review HLDs and LLDs, providing clear, pragmatic security feedback to architects and engineers, • Define, explain, and advocate baseline security control sets across programmes and projects, • Ensure designs align with recognised frameworks including NCSC CAF, NCSC CSF, NIST CSF, and NIST SP 800-53, • Provide security design assurance across:, • Network modernisation, • Identity modernisation, • Cloud adoption and migration (AWS preferred; Azure/GCP acceptable), • CI/CD and DevSecOps pipelines, • Translate security requirements into actionable design guidance rather than policy-only responses, • Participate in design forums and governance boards, strengthening secure-by-design delivery, • Support security risk assessments, threat modelling, and control gap analysis Key Skills Needed • Ability to review an HLD (High level design) or LLD (low level design)and provide security feedback, • Understand, explain and able to advocate baseline control sets, • Understanding of NCSC CSF and 800-53, NCSC CAF, • Experience of one or more of security elements of Network modernisation, Identity modernisation, cloud adaption (AWS) and migration, or CICD pipeline implementation., • NIST CSF, • Security controls, • Technical Design Authority - Desirable

Cloud Platform Lead | London | Hybrid (3 days in the office) |Permanent Build the cloud platform that others depend on. We’re partnered with a high-performing, London-based Insurer operating at scale in a highly regulated environment. The organisation is investing heavily in its cloud capability and is now hiring a Cloud Platform Engineering Lead to take full ownership of its cloud platform and shape how cloud is delivered across the business. This is a true platform engineering leadership role — not just keeping the lights on, but designing, evolving and running a secure, scalable cloud platform treated as a product.Why this role stands out • Real ownership – end-to-end responsibility for the cloud platform, • Hands-on leadership – stay technical while setting standards and direction, • Engineering-led culture – platform as a product, not a utility, • Modern cloud estate – Azure-first (with some AWS), IaC, CI/CD, automation, • Strategic visibility – work closely with Architecture, Security and senior IT leadership, • Influence without bureaucracy – small internal team, clear decision-makingYou’ll act as the technical authority for cloud, owning standards, guardrails and outcomes, while steering a trusted cloud services partner to deliver high-quality BAU and project work.What you’ll be doing, • Owning the cloud platform architecture (Azure-first, AWS exposure), • Designing and evolving shared platform services:, • Landing zones, • Networking & identity, • Security controls & guardrails, • Observability, backup & DR, • Treating cloud as a product with roadmaps, standards and continuous improvement, • Remaining hands-on with:, • Terraform & Infrastructure-as-Code, • CI/CD pipelines and automation, • Reusable modules and engineering patterns, • Embedding security-by-design (NIST, ISO, GDPR principles), • Acting as a senior escalation point for incidents and outages, • Leading FinOps practices – cost control, optimisation and transparency, • Managing and directing a UK-based cloud services partner from a position of strong technical ownershipWhat we’re looking for, • 8+ years’ experience designing and operating cloud platforms (Azure essential), • Strong background in platform engineering, not just infrastructure operations, • Proven expertise with Terraform and lifecycle management of IaC, • Deep understanding of:, • Cloud security, networking and identity, • CI/CD and DevOps practices, • Containers and modern deployment patterns, • High availability, backup and disaster recovery, • Cloud cost optimisation / FinOps, • Experience working in regulated or security-sensitive environments, • Confident communicator able to influence engineers, architects, partners and stakeholders Experience in insurance or financial services is helpful but not essential — strong cloud engineering capability and leadership matter most.You’ll be part of a lean, senior team, working alongside the Architecture Team (EA and Domain), with additional 3rd Party partner support. This gives you space to focus on quality, standards and strategic improvements, not firefighting.If you’re looking for a hands-on cloud leadership role where your decisions genuinely shape the platform and the engineering culture, this is one worth exploring. Confidential discussions welcome.

We’re looking for a hands-on Azure DevOps Engineer with a strong security focus (DevSecOps) to design, implement, and scale secure cloud infrastructure with minimal supervision. An initial 6month, UK based contract working fully remote. The role is ideal for someone who can take ownership of security engineering initiatives and deliver production-grade solutions using Terraform deployed through CI/CD pipelines. You’ll be working in a modern Azure environment, building reusable, well-structured Terraform modules and embedding security controls across platforms, pipelines, and identity systems. You’ll lead the implementation of security controls across the Azure estate, including: • Designing and deploying perimeter protection using Azure Front Door with WAF policies (OWASP Top 10, bot protection)., • Analysing traffic, tuning WAF rules, and working with stakeholders to reduce false positives., • Defining and enforcing governance through Azure Policy, particularly around firewall and network security standards., • Implementing container security practices, including scanning for AKS workloads., • Migrating from basic security defaults to advanced Conditional Access policies in Microsoft Entra ID., • Driving rollout of identity protections (e.g., phishing-resistant MFA, risky sign-in policies) using Entra ID P2 capabilities., • Securing CI/CD pipelines (e.g., in Azure DevOps) through managed identities and network restrictions., • Monitoring and responding to risks identified in Microsoft Defender for Cloud.

Role: Platform EngineerLocation: London Area, United Kingdom (Hybrid)Employment Type: Full-timeSeniority: SeniorSalary: £85,000 - £105,000 Are you a skilled Platform Engineer looking to build secure, scalable cloud infrastructure within a fast-paced, regulated environment? We're hiring a hands-on engineer to design, implement and optimise AWS-based platforms, working closely with architecture and security teams in a hybrid London setup. What You'll Do * Design and manage AWS cloud architecture * Build infrastructure as code using Terraform * Develop and maintain CI/CD pipelines (Jenkins, GitHub, CircleCI) * Manage containerised environments (Docker, Kubernetes, AWS Fargate) * Embed security tooling (WAF, IDS, IPS, SIEM) * Troubleshoot and optimise cloud infrastructure Required Experience * 3-5 years as a Platform Engineer * Strong AWS and cloud architecture expertise * Terraform and CI/CD pipeline experience * Knowledge of cloud security tooling * Strong troubleshooting skills • KubernetesNice to Have Banking/financial services experience * Python scripting * Infrastructure management exposure * Broader enterprise architecture experience If you're proactive, technically strong and ready to make an impact in a hybrid London role, get in touch for a confidential conversation. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Robert Half International (an S&P 500 global staffing provider) is supporting a global consulting firm in sourcing an interim Snowflake Data Engineer. This role will focus on designing and delivering a modern cloud data warehouse using Snowflake and dbt, building scalable ELT pipelines and high-quality data models to support business-wide analytics and reporting. Assignment Details • Initial 6-month contract (extensions expected), • Hybrid - 2 days per week on-site in the City of London, • £400-450 p/day + 12.07% hol pay (PAYE with employer's NI & Tax deducted at source, unlike umbrella companies and no umbrella admin fees), • Insurance / Reinsurance experience strongly preferred but data engineers with with broader Financial Services experience will also be considered, • Strong hands-on experience building data solutions in Snowflake (ELT pipelines, performance optimisation, data modelling), • Proven experience with dbt (modelling, incremental loads, testing, documentation), • Excellent SQL engineering and data modelling (star/snowflake schemas, best practices), • Experience designing and delivering end-to-end data pipelines (ingestion, transformation, validation), • Familiarity with CI/CD pipelines (Azure DevOps or similar), • Experience working in cloud-based data environments (Azure or AWS), • Experience with orchestration tools (Airflow, Azure Data Factory or similar), • Python for data engineering, automation or testing All candidates must complete standard screening (Right to Work, DBS, credit/sanctions, employment verification). Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Senior Full-Stack Engineer - Contract - Remote Method has partnered with an early-stage health-tech company building a women's health platform (biomarker analysis, questionnaires, personalised reports). They are looking to engage a Senior Full-Stack Engineer on a contract basis to build out the MVP. The core product is live, is well-architected, and has good documentation, so the focus is now on scaling content, marketing, and commerce capability. This is a hands-on senior engineering role, taking ownership of delivery across a 12-week programme. The initial focus is on stabilisation, addressing tracking, CI/CD, and key security and configuration issues. This is followed by frontend and payments work in weeks two to three, including migrating the application from, improving the Stripe integration, and implementing core tracking and SEO foundations, and more,. Tech Stack React, TypeScript, Next.js, Python (FastAPI), PostgreSQL, GCP (Cloud Run/SQL), Stripe, Firebase Auth, Terraform. Key Requirements • Strong React/TypeScript and Next.js (SSR/SSG), • Python/FastAPI backend experience, • PostgreSQL and data modelling, • GCP familiarity + CI/CD discipline, • Stripe (Checkout, webhooks), • Comfortable working independently and making architectural decisions Nice to Have Headless CMS, SEO/Core Web Vitals, marketing integrations (Mailchimp, Meta), GDPR/health-tech exposure, dynamic form builders. Details Contract: 12-weeks (Outside) Rate: £500-600/day Remote (UK preferred) Reporting directly to founder RSG Plc is acting as an Employment Business in relation to this vacancy.

Security Engineer - DevSecOps Rate - £700 - £800 Inside IR35 total to umbrella Duration - 6 months initial with expected extensions Location - London (Three times a week on site) A leading global financial services organisation is looking for an experienced Security Engineer to help design, build and operate secure infrastructure and identity services across cloud and on-prem environments. This role sits within a high-performing Information Security team and plays a key part in strengthening the organisation's security posture. Role Overview: You'll lead on security engineering initiatives, own key security platforms, drive automation and support incident response and threat detection activities. You'll also contribute to strategic security projects and ensure secure, scalable and resilient solutions across the business. Key Responsibilities: • Deploy and manage enterprise security tools (SIEM, XDR, DLP, Email Security, Endpoint Protection)., • Build automation using Python, PowerShell, Bash., • Implement IaC using Terraform and Ansible., • Maintain secure baselines for Windows, Linux and Kubernetes., • Automate IAM workflows and integrate identity governance into CI/CD., • Support incident response, threat detection and Red/Blue team exercises., • Maintain security documentation and participate in on-call rotations. Qualifications & Experience: • Degree in Computer Science, Engineering, Information Systems or similar., • Preferred certifications: CISSP, GIAC, SC-200, AWS/Azure Security Specialty, CyberArk, SailPoint., • 5+ years' experience in security engineering or DevSecOps., • Strong knowledge of IAM (SailPoint, CyberArk, OAuth, SAML), scripting, CI/CD, Microsoft Defender, Windows/Linux/Kubernetes and network security tools (zScaler, Squid). Personal Qualities: • Strong analytical and problem solving skills., • Able to lead multiple projects and collaborate across teams., • Excellent communication and documentation skills., • Detail-driven, adaptable and committed to continuous improvement., • Passionate about automation and securing critical systems. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Lead Full Stack Developer (Next.js / React) - Build Greenfield Platforms UK-Based | Hybrid | Up to £110,000Overview:I’m working with a global brand that’s going through a major digital transformation and investing heavily in modern, cloud-native technology. They’re looking for a Lead Full Stack Developer (Next.js / React) to help build greenfield, high-performance platforms used by globally recognised clients. This is a chance to work on scalable, modern systems and genuinely influence both the technical direction and engineering culture.Responsibilities: • Building production-grade applications using Next.js, React & TypeScript, • Designing and developing APIs (REST / GraphQL), • Working across the full stack – frontend, backend, and cloud, • Owning features end-to-end (design build deploy), • Contributing to architecture and best practices, • Collaborating closely with product and engineering teamsWhat they’re looking for:, • 5+ years’ software development experience, • Strong Next.js / React / TypeScript background, • Experience building scalable web applications, • Solid understanding of SSR, SSG & frontend performance, • API development experience (REST or GraphQL), • Cloud exposure (AWS preferred) + Docker, • Strong fundamentals (HTTP, DNS, etc.), • Experience Leading Software Engineering teams Bonus points for:, • Go or C# backend experience, • Microservices / DevOps / CI/CD exposure, • Terraform / infrastructure as code, • Auth systems (OAuth, JWT, SSO)If you’re interested (or know someone who might be), drop me a message.

Scala Developer London Hybrid - at least once a week in Central London Up to £85,000 DOE + Regular Pay Reviews + Healthcare + Life Insurance + BenefitsExcellent opportunity for a Senior Backend Engineer with strong Scala and functional programming experience to join a small, highly technical team offering broad ownership, autonomy, regular pay reviews, and the chance to influence backend architecture and technical direction.This company are pioneers within a specialist technology-led insurance market. Having been acquired by a larger US-based organisation impressed by their product, platform, and technical capability, they are now looking to grow their permanent engineering team as they continue scaling their systems and improving the reliability, maintainability, and operability of their platform.In this role you will work across backend Scala development, architecture, infrastructure, APIs, data flows, and production systems supporting areas such as broker-facing products, pricing and underwriting workflows, claims processes, internal tooling, automation, and operational systems. You'll work closely with frontend, product, underwriting, claims, operations, and broker success teams, helping turn complex business requirements into robust, scalable technical solutions.The ideal candidate will be a Backend Engineer with strong commercial Scala experience and a good understanding of functional programming principles. You will also have experience with AWS infrastructure, and CI/CD, Terraform, APIs, databases, and production support would be beneficial. Candidates must have full right to work and live in the UK and be comfortable working autonomously in a small, high-trust engineering environment.This is a fantastic opportunity to join a growing business where you can stay close to the code, take ownership of important backend systems, influence architectural decisions, and work on complex, real-world products in a regulated, data-rich environment.The Role: • Backend development using Scala and functional programming approaches, • Working across APIs, microservices, data flows, integrations, and distributed systems, • Improving backend architecture, scalability, resilience, observability, and maintainability, • Strong commercial Scala development experience, • Good understanding of functional programming principles, • Experience with AWS infrastructure, CI/CD, Terraform, databases, APIs, or production systems Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Senior Data EngineerCentral London (2-3 days a week)Salary £90,000 plus benefits.This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.The Company They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.The Role Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. Build well structured data models and curated layers to support reporting and analytics. Improve data quality, observability, governance, and overall platform reliability. Lead architectural decisions and support a review of existing workflows and pipelines. Contribute to ongoing transformation and migration projects. Provide technical guidance and mentor a junior engineer.Your Skills and Experience Strong commercial experience working with AWS in production environments. Proficiency in Python and SQL for data processing and orchestration. Experience with Airflow for workflow management. Knowledge of cloud data warehousing, ideally Redshift. Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub. Ability to build reliable, governed pipelines with strong data quality and lineage practices. * Experience in regulated settings or fast moving scale ups is beneficial.What They Offer Salary of £90,000. Hybrid working with 2-3 days in the office. A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options. Opportunities to influence architectural direction within a modern data and AI function. * Clear progression as the data team continues to grow.How to Apply If this London based Senior Data Engineer role sounds like the right next step, apply now.

Machine Learning Engineer (Contract) £500-600 per day3 months (4 days per week) London (Hybrid, ~1 day per week) IR35: TBC We're working with an AI company in the trade and logistics space at a critical inflexion point, moving from enterprise pilots into production deployments. With strong ML capability already in place, they now need a senior contractor to come in and audit, structure, and productionise their existing ML systems. This role is focused on fixing and scaling what already exists, not building from scratch. The Role You will work directly with the technical co-founders to bring structure, scalability, and best practices across their ML and data setup, ensuring it is ready to support multiple enterprise deployments. Key responsibilities: Audit current ML architecture, pipelines, and MLOps practices Identify gaps in documentation, reproducibility, and scalability Introduce clear structure across model development, versioning, and deployment Improve training and retraining workflows Strengthen model monitoring, evaluation, and performance tracking Support productionisation and inference pipeline improvements Ensure systems are maintainable for future hires Provide a clear, pragmatic path from pilot to production You will also contribute to ongoing analytical work (risk modelling, anomaly detection), but the primary focus is on ML system structure and scalability. Technical Environment High-volume ETL/ELT pipelines (multi-source ingestion: SAP, APIs, email, flat files) Client-specific models built on shared base models (micro-model architecture) Feedback-driven learning loops and model iteration LLM workflows for document analysis (multi-prompt pipelines) AWS and GCP infrastructure (Azure being introduced) Containerised deployments with CI/CD * Multi-environment deployment (cloud, hybrid, on-prem) Your Skills & Experience Strong Python and hands-on ML engineering experience Proven experience in productionising ML systems end-to-end Experience auditing and improving existing ML setups Strong MLOps experience (model versioning, monitoring, CI/CD) Experience working with data pipelines (ETL/ELT, Spark or similar) Comfortable working with messy, real-world data and complex business logic Experience in small, fast-moving teams (startup, scaleup, or consulting) Strong communication and documentation skills Nice to have: Experience with LLM workflows (RAG, LangChain, etc.) Experience in logistics, trade, or compliance data * Experience supporting client-facing or pre-sales conversations To Apply: Please email

Lead GO EngineerOur client, a digital SaaS provider backed by the government is hiring a Lead GO Engineer to join a fast-scaling, purpose-driven SaaS organisation delivering impactful digital services. You will lead on several greenfield projects as the client continues to scale & transform. Our client has a fantastic ethos, focussed on aiding & helping people improve their lives. Our client is offering a fully remote contract & benefits (30 days holiday, 6% pension & health care) paying up to £75,000 to start ASAP.In this role, you will design, develop, and optimise scalable, secure, cloud-based systems using Go (Golang), PostgreSQL, Redis, RabbitMQ, and Docker. You will contribute to architecture discussions, collaborate with cross-functional teams, and help ensure the delivery of reliable, high-quality features. This is an excellent opportunity for an engineer who has proven experience in a previous Lead or Management position as you must be able to demonstrate the capabilites to steer projects & provide coaching.Role and Responsibilities: • Design, develop, and maintain backend services using Go (Golang), • Build and manage messaging patterns and asynchronous workflows with Redis and RabbitMQ, • Develop efficient, scalable database schemas and queries in PostgreSQL, • Build clean, well-documented RESTful APIs and service integrations, • Contribute to containerised environments using Docker and maintain cloud-native services on AWS, • Participate in architecture discussions, CI/CD pipelines, and quality assurance processes, • Mentor peers, share knowledge, and promote best practices in backend developmentSkills and Experience:, • Solid experience in backend development roles, • Strong proficiency in Go (Golang), including concurrency models and thread-safe coding, • Proven experience with Redis (caching & Pub/Sub) and RabbitMQ (messaging), • Strong experience with PostgreSQL and libraries such as sqlx and gorm, • Solid understanding of Docker and containerised development, • Experience building RESTful APIs and integrating services, • Desirable: AWS services (Lambda, EventBridge, SQS), microservices architecture, CI/CD tooling, event-driven systems

Your new companyThis role is working for Hays, a FTSE 250 recruitment leader with a global footprint, combining decades of expertise with a bold technology strategy focused on modernisation, digitalisation and innovation to power progress through people and market-leading tech. With deep specialism across STEM and digital domains, Hays leverages data-driven insight and a worldwide tech talent network to help organisations secure the skills they need today and for the future. Backed by significant investment in its technology transformation and strategic partnerships, Hays is shaping the future of tech recruitment and supporting businesses as they build tomorrow's workforce.Your new roleThe Demand & Capacity Manager ensures that Technology Operations has the resources, capacity, and performance headroom needed to deliver stable, predictable, and scalable services globally. The role is responsible for forecasting demand, analysing consumption trends, modelling capacity needs, and identifying risks related to saturation, seasonal patterns, and strategic growth. This includes coordinating with Finance, PMO, Service Performance Management, Engineering teams, and vendors to ensure that demand is understood, capacity is planned, and costs are optimised across infrastructure, platforms, cloud, and global operations. Core Responsibilities: • Own the global demand and capacity management framework across infrastructure, cloud, platforms, and operational delivery services., • Develop and maintain capacity models incorporating historic trends, business forecasts, and technology growth patterns., • Forecast demand for infrastructure resources, cloud consumption, platform usage, licensing, storage, workloads, and workforce/operational capacity., • Identify saturation risks, constraints, seasonal spikes, and capacity-related service vulnerabilities., • Provide capacity insights to PMO reprioritisation, investment planning, and readiness assessments., • Work with Service Performance Manager to correlate capacity with stability, recurrence patterns, and performance bottlenecks., • Partner with Vendor/Contract Manager to assess vendor capacity commitments, delivery models, and scalability., • Collaborate with EA to ensure capacity plans align with technology roadmaps and transformation initiatives., • Ensure appropriate capacity for major business events, releases, migrations, and peak periods., • Maintain regular reporting covering consumption, forecasts, risks, and recommended actions., • Accountable for the accuracy and quality of global demand and capacity forecasts., • Ensure capacity risks are identified early, documented, communicated, and mitigated with clear action plans., • Maintain a single source of truth for demand, consumption, and capacity insights., • Provide leadership with proactive recommendations for investment, optimisation, and scaling actions., • Drive alignment between capacity planning, financial forecasting, and platform/infrastructure strategies., • Prepare and run capacity governance routines including monthly capacity reviews., • Ensure readiness and capacity availability for major business or technology events., • Support cloud optimisation and FinOps activities with accurate consumption modelling., • Collaborate with operational teams to ensure capacity actions support service stability and avoid degradations. Global Delivery & Collaboration:, • Work with Regional Service Managers to capture local demand patterns, constraints, and capacity needs., • Collaborate with EA to ensure strategic alignment with long-term architectural evolution., • Partner with Infrastructure and Platform teams to understand scaling limits, performance boundaries, and capacity signals., • Engage with PMO to validate capacity readiness for projects, migrations, and releases., • Coordinate globally with MSPs (incl. Cognizant) to validate vendor capacity and delivery throughput., • Work with Finance and Cost Management teams to validate budget impact, cost-to-serve models, and cloud consumption forecasts., • Support Security and Compliance capacity requirements for logging, monitoring, DR, and backup workloads. Key Deliverable:, • Global Demand & Capacity Forecast (rolling 12-36 months)., • Capacity Models & Dashboards (infrastructure, cloud, platform, operational workload)., • Monthly Consumption & Capacity Report including risks, hotspots, and future projections., • Quarterly Capacity Review Pack including investment proposals and optimisation insights., • Capacity inputs for PMO readiness assessments, budgeting, and prioritisation., • Documentation of mitigation actions for capacity-related risks., • Cloud consumption models and cost-optimisation recommendations. KPIs & Success Measures:, • Accuracy of demand and capacity forecasts., • Reduction of unplanned capacity-related incidents or outages., • Timeliness of capacity reporting and insights., • Optimisation impact (cloud savings, resource efficiency gains)., • Stakeholder satisfaction across Technology, Finance, Regions, and Vendors., • Hands-on experience with automation platforms (ServiceNow Flow Designer, Power Automate, Rundeck, Ansible, Terraform, or similar)., • Scripting skills (PowerShell, Python, Bash, or equivalent)., • Understanding of monitoring and alerting systems (e.g., Dynatrace, Datadog, Splunk, Azure Monitor)., • Knowledge of ITSM processes (Incident, Problem, Change, Request) and workflow automation., • Experience integrating automation with CI/CD, APIs, and cloud-native services., • Strong understanding of identity models, RBAC, and secure automation practices., • Ability nonrepresentational issues and translate them into automation solutions. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract We are seeking a highly skilled Telemetry & Observability Engineer to join a large-scale enterprise engineering environment focused on improving system reliability, visibility, and operational intelligence across complex distributed platforms. This role is ideal for a hands-on engineer who can go beyond using observability tools and instead design, build, and automate observability and telemetry solutions from the ground up. You will be responsible for building and evolving telemetry pipelines and observability infrastructure across a distributed, cloud-native environment. Working closely with network, platform, and software engineering teams, you will help embed observability into engineering workflows and CI/CD processes. Key Responsibilities • Design and implement scalable pipelines for metrics, logs, traces, and event data across distributed systems, • Build and enhance observability tooling, including dashboards, monitoring systems, alerting frameworks, and reliability standards, • Develop and maintain telemetry solutions using OpenTelemetry and related open-source technologies, • Automate observability infrastructure using Terraform and infrastructure-as-code practices, • Integrate monitoring and observability into CI/CD pipelines and SDLC processes, • Define and support SLIs, SLOs, and alerting strategies in collaboration with engineering teams, • Promote best practices in instrumentation, monitoring, and incident response, • Proven experience in observability, SRE, or platform engineering roles within complex distributed environments, • Strong hands-on experience with OpenTelemetry, including building and managing telemetry pipelines, • Experience with observability and monitoring tools such as: Grafana, Prometheus, Elastic / Splunk, Loki / Jaeger or similar, • Strong experience with Terraform or other infrastructure-as-code tools, • Solid understanding of cloud-native environments (Kubernetes, microservices, distributed systems), • Experience working within or alongside network engineering or infrastructure operations teams, • Programming experience in at least one language such as Python, Go, or Java, • Strong understanding of SLOs, SLIs, and modern reliability engineering practices, • Experience in regulated or large enterprise environments, • Exposure to AI/ML-driven observability or proactive monitoring initiatives Telemetry & Observability Engineer | Contract | £475-£515 p/d | Inside IR35 | London | 3 days on site | 6 month contract Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

A leading UK financial services provider is seeking a highly experienced Engineering Manager to lead multiple squads within their retail engineering function. This new, high-impact role will be pivotal in ensuring delivery excellence, technical oversight, and strong alignment with business and regulatory priorities. You will be the primary escalation point for delivery and technical challenges, accountable for sprint outcomes, prioritisation, and risk management. While this role is not hands-on coding, you will provide technical guidance, architectural insight, and oversight, ensuring solutions are scalable, maintainable, and delivered to high standards. Key Responsibilities: • Lead multiple engineering squads, providing technical direction and oversight, • Drive delivery accountability, unblock issues, and manage dependencies across teams, • Collaborate with Product Owners, IT leadership, and business stakeholders to ensure alignment and risk mitigation, • Oversee technical standards, architecture reviews, and governance practices, • Manage technical debt and end-of-life registers, ensuring timely remediation and stakeholder alignment, • Foster a culture of continuous improvement, technical excellence, and agile delivery What We're Looking For: • Proven experience as a senior engineer, architect, or technical lead, with hands-on delivery experience, • Experience managing multiple squads or engineering teams in Life & Pensions or financial services, • Strong understanding of agile delivery, sprint planning, and backlog prioritisation, • Technical credibility: ability to review architecture, challenge solutions, and implement engineering standards, • Excellent communication skills for both technical and non-technical stakeholders, • Familiarity with .NET/C#, Azure, DevOps/CI/CD, microservices, and modern scalable architecture principles is desirable The opportunity: • Shape a new leadership role in a regulated, innovative, and growing team, • Influence technical standards and delivery practices across multiple squads, • Work closely with senior leadership in a highly visible and influential position, • Join a supportive, inclusive culture committed to development and continuous improvement If you are a delivery-focused, technically credible Engineering Manager with financial services experience and a passion for driving high-quality outcomes, Apply now!

Machine Learning Engineer 6 Month Contract UK Based Join us as a Senior Machine Learning Engineer • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development What you'll do Your daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. You'll also codify and automate complex machine learning model productions, including pipeline optimisation. We'll expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. You'll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business. You'll also be responsible for: • Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy, • Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production, • Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance, • Understanding and addressing any shortfalls, for instance, through retraining, • Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes The skills you'll need • To be successful in this role, you'll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. You'll also have the ability to use data to solve business problems, from hypotheses through to resolution., • We'll look to you to have experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCity and CodeDeploy. You'll also need: • A good understanding of machine learning approaches and algorithms, • Experience using programming and scripting languages, including Python and Bash, • Financial services knowledge and the ability to identify wider business impact and risk opportunities and to make connections across key outputs and processes, • Good communication skills with the ability to proactively engage with a wide range of stakeholders Additional Job Description • In this role, you'll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms, • Day-to-day, you'll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders, • If you see opportunities where others see challenges, you'll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Role: Data Solutions Architect (SC Cleared) Contract: 3-6 months initial Day rate: £500pd-£550pd (Inside IR35) Location: London (Hybrid working) We are working with a large-scale consultancy who require a Data Solutions Architect to work on an Azure Data project. The role will require someone who is SC Cleared and will be hybrid working, based in London. Responsibilities: • Design secure, scalable data solutions across application, data, integration, infrastructure and security domains., • Architect cloud data platforms and analytics stacks (e.g. Azure Databricks, Microsoft Fabric) including distributed processing (Spark)., • Translate functional and non-functional requirements (security, performance, availability, resilience) into resilient target architectures., • Define current-state, target-state and transition architectures, including phased roadmaps and dependency-aware migration plans., • Apply platform engineering practices (IaC, CI/CD, DevOps) aligned to landing-zone/enterprise-scale guardrails (e.g. Azure CAF)., • Design modern enterprise integration patterns (APIs, event-driven and service-based approaches)., • Produce clear, auditable artefacts for governance and assurance (HLD/LLD, ADRs, options appraisals)., • Act as design authority lead design reviews/ARBs, communicate trade-offs, and support build-phase conformance., • Active SC clearance and experience working in regulated environments., • Strong solution architecture background across data, cloud, security and integration., • Hands-on knowledge of Azure data services, Databricks/Fabric, and modern analytics patterns. If you are interested in the role provide an up to date CV for consideration and apply now!

Job Title: Senior DevSecOps EngineerLocation: LondonContract Length: 12 monthsWorking Pattern: Hybrid, Via Umbrella Company Join Our Team! Are you ready to take your career to the next level in a dynamic, fast-paced environment? Our client, a leading financial institution, is seeking a passionate and experienced Senior DevSecOps Engineer to lead the charge in defining and implementing cutting-edge CI/CD and DevSecOps strategies! What You'll Do: As a key player in our client's engineering team, you will: • Define & Own: Craft and manage the enterprise CI/CD and DevSecOps strategy to align with security, risk, and governance standards., • Architect Solutions: Develop CI/CD approaches that cater to multiple teams and technologies while ensuring quality, security, and scalability., • Enhance Cloud Applications: Provide your expertise in building cloud and cloud-ready applications, and support containerized workloads using Docker and Kubernetes., • Integrate Security & Compliance: Embed security controls directly into CI/CD pipelines, ensuring solutions meet all governance and regulatory requirements., • Engage Stakeholders: Build strong partnerships with functional teams and translate complex technical concepts into clear recommendations for various audiences., • Core Technical Experience: Extensive experience in designing enterprise-scale CI/CD solutions, with a focus on GitLab. Hands-on experience in supporting build pipelines for Java, C#, JavaScript, and Python is essential., • Cloud & Containerization Expertise: Proven ability to deliver containerized and cloud-ready applications, with experience in integrating CI/CD pipelines with cloud services., • Financial Services Acumen: Familiarity with highly regulated environments, especially in the financial sector, and a strong understanding of risk management and governance frameworks., • Leadership Skills: You should operate effectively as a senior individual contributor, demonstrating sound judgment, professionalism, and integrity while influencing outcomes without direct authority., • Secure, scalable, and trusted CI/CD platforms across the organization., • Efficient and compliant delivery of containerized and cloud-ready applications., • Seamless integration of security and governance into delivery processes., • Empowered development teams capable of navigating control frameworks effectively. Why Join Us? This is your opportunity to be at the forefront of innovation in the financial services industry! You'll work in a collaborative environment where your expertise is valued, and your contributions will make a real impact. Ready to Make a Difference? If you're driven by a passion for engineering excellence and are ready to take on new challenges, we'd love to hear from you! Apply now and join our client's mission to innovate and lead in the financial sector. Your next big opportunity awaits! We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Data Engineer (Mid Level) £45,000–£55,000 Remote (1-2 days per month London, Leeds or Preston) Tech Stack: GCP (BigQuery, Dataflow), DBT, Terraform, Airflow (Composer), Python, SQL VIQU are working with a growing, data-driven organisation they are building out a modern Data Platform following a successful migration from on-premise to Google Cloud. Sitting within a well-established Data Office, the team is now focused on developing a scalable Data Mesh architecture. This is a strong opportunity for a mid-level Data Engineer to join a collaborative product-led environment, working with modern tooling and contributing to the end-to-end delivery of data products. Key Responsibilities • Design, build, and maintain scalable data pipelines and data products using modern ELT principles, • Work closely with product managers, architects, and engineers to deliver data solutions aligned to business needs, • Contribute across the full data product lifecycle, from design and development through to deployment and optimisation, • Ensure high-quality, well-documented code and maintain strong engineering standards, • Support CI/CD processes, environment management, and deployment pipelines, • 3–5 years’ experience in Data Engineering, with strong exposure to ETL/ELT pipelines, • Strong SQL and Python skills, with hands-on experience building data pipelines, • Experience with DBT, Terraform, and version control (Git), • Exposure to Airflow (or similar orchestration tools), Docker, and CI/CD practices, • Cloud experience in GCP (BigQuery preferred) or Azure/AWS environments, • Understanding of modern data concepts including Data Mesh, Agile delivery, and test-driven development Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment

About the RoleLocation - London Hybrid - 2 days onsite Salary- £60,000 - £65,000 We’re hiring a DevOps Engineer to design, build, and support scalable AWS cloud solutions. You’ll create Infrastructure as Code, manage CI/CD pipelines, and deploy applications.Requirements: • Experience with AWS or other cloud platforms, • Infrastructure as Code (Terraform/CloudFormation), • CI/CD pipelines (e.g. Jenkins, Git), • Serverless tech (AWS Lambda, API Gateway), • Linux systems knowledge, • Scripting/coding (Python, YAML/JSON), • Experience with enterprise systems, • Strong communication skills

DataArchitect – Charity / Not for Profit Sector | £65,000–£ mth FTC) | London (Hybrid) Our client is a charitable organisation with a clear mission and a growing ambition to put data at the heart of how it operates. They are looking for a hands-on Data Architect to take ownership of their data function at a pivotal moment in its development. This is a hands-on leadership position. You’ll be responsible for the end-to-end data capability — from governance frameworks and quality controls through to the architecture and delivery of our data warehouse and reporting infrastructure. You’ll work closely with an outsourced data warehouse partner and with internal stakeholders across the organisation, acting as the bridge between technical delivery and business need. This isn’t a purely strategic role. they need someone who understands data models and modern data platforms at a working level, and who can hold an external supplier to account as well as drive internal culture change around data quality and literacy. Responsibilities: -Owning the organisation’s data governance model: catalogues, lineage, role-based access controls and quality metrics -Overseeing delivery and continuous improvement of our cloud-hosted data warehouse, currently built on Snowflake with Azure infrastructure -Managing data ingestion pipelines and transformation workflows applying Medallion and Kimball principles -Supporting reporting and insight needs across the organisation using Power BI -Managing the external data warehouse supplier, including data engineers and architects -Leading data literacy and culture change across the organisation through training and internal champions -Ensuring GDPR compliance and robust data security controls throughout Essential Experience: -Solid, hands-on understanding of data warehousing, ETL/ELT processes, data modelling and Medallion architecture -Experience managing vendors delivering hosted or managed data warehouse solutions -Ability to design and implement governance frameworks, data catalogues and security models -Strong communication skills; equally comfortable with technical teams and senior non-technical stakeholders -A track record of embedding data standards and ways of working across an organisation Desirable Experience: -Direct experience with Snowflake, Azure and Power BI -Familiarity with CI/CD and Infrastructure as Code -Data governance certification (e.g. DAMA) or equivalent CPD -Experience working in a not-for-profit or membership organisation What’s on Offer: -£65,000–£75,000 depending on experience -Hybrid working with flexibility around how and where you work -Benefits — pension, annual leave, healthcare etc Our client is committed to equal opportunities and welcomes applications from all backgrounds.

SC Cleared Technical Architect – Data Platforms Truenorth are currently working with a leading technology consultancy on a Technical Architect (Data Platforms) opportunity, supporting the design and evolution of large-scale, cloud-based data platforms across a range of high-impact programmes. This role is ideal for someone who enjoys shaping architecture, working across complex environments, and driving modern data platform solutions end-to-end. Key details: • Salary: £65,000 – £85,000, • Location: Hybrid – London or Manchester hubs, • Permanent or FTC options available, • Active SC Clearance required (must already hold this - you will be required to evidence your clearance) Required Skills & Experience • Strong experience designing modern cloud-based data platforms., • Hands-on architectural experience with:, • AWS (essential): S3, EMR, Glue, • Kafka / event streaming architectures, • Python & PySpark-based data processing, • Experience designing data ingestion pipelines (batch and real-time)., • Proficiency in Infrastructure as Code (Terraform)., • Experience with GitHub-based workflows and CI/CD pipelines., • Experience with data lake and lakehouse architectures., • Strong understanding of:, • Data ingestion patterns, • Data transformation and curation layers, • Data access and productisation, • Ability to design for large-scale datasets., • Experience supporting cloud migrations, • Knowledge and experience with Azure & Microsoft Fabric & Databricks would be beneficial, • Familiarity with event-driven and streaming-first architectures at scale., • Strong stakeholder engagement and cross-team collaboration skills., • Ability to operate effectively within existing governance and standards., • Pragmatic decision-making balancing delivery pace and technical quality., • Clear communicator able to translate complex architecture into actionable guidance., • Experience working in large, complex enterprise environments., • This role will require the ability to obtain and hold UK SC Clearance.

We are currently seeking a Senior Firmware Engineer to join a high-performing engineering team working on cutting-edge embedded systems. This is an exciting opportunity to contribute to the development of a complex, real-world product, working across the full lifecycle from development through to deployment. The Role You will be responsible for developing and maintaining embedded software, working closely with hardware teams to deliver robust, high-quality firmware solutions. The role involves a mix of new development, porting existing code, debugging, and system optimisation. Key Responsibilities • Design, develop, and maintain embedded firmware, • Work with existing codebases, including porting and refactoring, • Debug complex issues across software and hardware, • Collaborate closely with hardware engineers on system integration, • Contribute to architecture decisions and code qualityKey Requirements, • Strong experience in embedded firmware development, • Proficiency in C and/or C++, • Experience with RTOS (e.g. FreeRTOS) and some bare-metal development, • Knowledge of communication protocols such as CAN, UART, SPI, I2C, BLE, • Experience working with microcontrollers and low-level drivers, • Strong debugging skills, including hardware interaction and reading schematicsDesirable Experience, • Motor control, power electronics, or inverter systems, • Functional safety standards (e.g. MISRA), • CI/CD tools (e.g. Jenkins) and version control (Git)Additional Information, • Location: London (Hybrid working)

Join a leading global Capital Markets & Investment Group as a Senior Technical Business Analyst in London on a permanent basis. This role operates across a cross-regional environment spanning APAC, EMEA, and the Americas, with a focus on equities trading systems and the supporting technology stack. You will work closely with trading, technology, and operations teams on initiatives covering execution platforms, market connectivity, and trade lifecycle workflows. The position offers exposure to complex, high-volume trading environments and suits someone comfortable working across both business and technical domains. Key Responsibilities: • Gather, analyse, and translate business requirements into effective technical solutions, • Work closely with stakeholders, developers, vendors, and QA teams across the project lifecycle, • Map and optimise business processes aligned to trading workflows, • Support system design, interface alignment, and scalable architecture initiatives, • Facilitate knowledge transfer and ensure smooth project delivery, • Drive quality assurance coordination and ensure robust testing standards, • Degree in Computer Science, Software Engineering, or related field, • Proven experience as a Technical Business Analyst or Solution Lead in financial services, • Strong understanding of equities trading, including OMS/EMS and market connectivity, • Experience with system design and low-latency, high-performance applications (Java/C++), • Familiarity with SDLC and CI/CD tools (e.g. JIRA, Confluence, Git, Jenkins), • Strong analytical, problem-solving, and stakeholder management skills

React and TypeScriptPythonAWS services i.e. Athena/Glue, DynamoDB, ECS, S3, Lambda, SQS, Step Function, etcAutomated testing frameworks for Python and JavaScriptTerraform for infrastructure-as-codeProven experience designing, building, and operating solutions on AWS cloud platforms, with a solid understanding of cloud-native services and architectures.Strong working knowledge of CI/CD pipelines, with hands-on experience in automated testing and deployment practices to ensure quality and reliability. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Senior Kotlin Engineer Ncounter is supporting a leading organisation within the publishing and media space as they look to strengthen their backend engineering capability. This team is responsible for building and evolving platforms that aggregate, process and distribute large-scale editorial and content datasets, enabling internal teams and external partners to access high-quality, structured information in near real time. You will join a highly capable engineering function focused on delivering scalable backend services, working across API development and Kotlin-based microservices that power content ingestion, indexing and distribution workflows. The environment is data intensive, with a strong emphasis on performance, reliability and clean service design across a modern cloud architecture. Key requirements: • 3-4 years commercial experience with Kotlin, or strong Java (8/11) with a desire to transition, • 7+ years working across JVM-based backend development, • Strong experience with Spring Boot and building RESTful or GraphQL services, • Solid understanding of relational databases such as PostgreSQL or MySQL, • Experience working within BDD or TDD environments, alongside CI/CD tooling such as CircleCI, • Exposure to AWS services including Lambda, DynamoDB, SQS, RDS and CloudWatch, alongside infrastructure as code tools such as Terraform, • Familiarity with ORM frameworks such as Hibernate or JOOQ This role will see you take ownership of key backend components within a wider content and publishing platform, contributing to the development of new services and improving existing systems that manage complex data pipelines. You will work closely with other engineers, product stakeholders and data specialists to ensure content is processed efficiently and made accessible in a consistent, scalable way. The team places strong value on engineering best practice, collaboration and continuous improvement, offering an environment where you can have a genuine impact on the direction of the platform and the evolution of its architecture. If you are interested in building robust backend systems within a data-driven publishing environment, please get in touch to discuss further.

Job Title: Contract Data Engineer (Banking Experience Required) Location: London (Hybrid) Day Rate: £550–£600 per day (Outside IR35 – subject to assessment) Contract Length: 6 months initial (extensions likely) Overview Chapman Tate are looking for an experienced Contract Data Engineer with a strong background in banking or financial services to support a range of high-priority data initiatives. You will play a key role in delivering scalable data solutions, enabling regulatory reporting, and improving data architecture across the organisation. Key Responsibilities • Design, build, and optimise scalable data pipelines and ETL/ELT processes, • Integrate and transform large volumes of financial data from multiple sources, • Work closely with stakeholders across technology, risk, and business teams, • Ensure high standards of data quality, governance, and compliance, • Contribute to data platform enhancements and cloud migration projects, • Proven track record as a Data Engineer within banking or financial services (essential), • Strong SQL and Python (or equivalent) development skills, • Hands-on experience with modern data platforms (e.g. Snowflake, Databricks, Redshift, BigQuery), • Cloud experience (AWS, Azure, or GCP), • Solid understanding of data modelling, warehousing, and pipeline design, • Exposure to real-time/streaming technologies (e.g. Kafka), • Experience in large-scale data transformation or migration programmes

We’re looking for a DevOps Engineer to build, manage, and optimise Azure-based infrastructure and DevOps pipelines.Location - Remote - 1 day a month onsite in London Salary up to £60,000 • Design and manage Azure infrastructure (VMs, App Services, networking), • Build and maintain CI/CD pipelines in Azure DevOps (YAML, ARM templates), • Administer and automate Azure resources using PowerShell, • Work with Azure data services (Azure SQL, Storage, Service Bus, Event Hub), • Implement monitoring & logging (Log Analytics, Application Insights), • Manage security & identity (Azure AD, Key Vault, certificates), • Configure networking (VNets, NSGs, Firewalls), • Support backup, regional setup, and high availabilityKey Requirements, • 2–3+ years’ DevOps experience, • Strong hands-on Azure experience (essential), • Azure DevOps (ADO) & CI/CD pipelines, • PowerShell scripting, • Knowledge of Azure infrastructure, security, and networking, • SQL and Active Directory knowledge