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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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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 Lead 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. 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.

Join Barclays as a Site Reliability Engineer, where you will be responsible for planning, coordinating, executing, and communicating work related to all SRE aspects of our systematic trading algorithms, making a significant positive impact on revenue generation within the Equity Derivatives business. To be successful, you should have: • Experience in DevOps and DataOps, using Site Engineering Reliability (SRE) best practices, • Expertise in Linux in an Enterprise setting (scheduling, networking, security, monitoring), • Expertise in Python and Bash programming for task automation Some other highly valued skills may include: • Experience with Market Data (Real-time and Historical, TREP or FPGA), • Experience with Order Management Systems and Protocols (FIX), • Knowledge of Data Streaming technologies like KDB/q, Kafka and Solace You may be assessed on key critical skills relevant to success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking, digital and technology skills, as well as job-specific technical skills. This role is based in London. Purpose of the role To apply software engineering techniques, automation, and best practices in incident response, to ensure the reliability, availability, and scalability of the systems, platforms, and technology through them. Accountabilities • Availability, performance, and scalability of systems and services through proactive monitoring, maintenance, and capacity planning., • Resolution, analysis and response to system outages and disruptions, and implement measures to prevent similar incidents from recurring., • Development of tools and scripts to automate operational processes, reducing manual workload, increasing efficiency, and improving system resilience., • Monitoring and optimisation of system performance and resource usage, identify and address bottlenecks, and implement best practices for performance tuning., • Collaboration with development teams to integrate best practices for reliability, scalability, and performance into the software development lifecycle, and work closely with other teams to ensure smooth and efficient operations., • Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Assistant Vice President Expectations • To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions., • Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, • If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others., • OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes., • Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues., • Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda., • Take ownership for managing risk and strengthening controls in relation to the work done., • Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function., • Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy., • Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively., • Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience., • Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Senior Navigation Control Engineer - (Future Leader Opportunity). An advanced SME developing real-world autonomous systems is looking to hire a Senior Navigation Control Engineer as a key early addition to its edge autonomy team.

Are you a hands-on engineer who enjoys bringing systems to life? We are looking for a Commissioning Engineer to support the delivery of intelligent lighting control systems across commercial sites.

Data Engineer [Associate/Senior Associate] About the job We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm’s objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You’ll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability. What you will do • Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives., • Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics-ready datasets., • Collaborate with data scientists, analysts, and software engineers to ensure seamless data integration and availability for predictive modeling and business intelligence., • Optimize data storage and processing in Azure environments for performance, reliability, and cost-efficiency., • Implement best practices for data modeling, governance, and security across all platforms., • Financial Asset Management Pipeline: Build and manage data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality., • Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development., • Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is essential., • Data Warehousing: Proven expertise with Snowflake – schema design, performance tuning, data ingestion, and security., • Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution., • Data Modeling: Strong skills in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects., • SQL Databases: Extensive experience with PostgreSQL, MySQL (or similar), including schema design, optimization, and complex query development., • Infrastructure as Code: Production experience with declarative infrastructure definition – e.g. Terraform, Pulumi or similar., • Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes., • Communication and Problem solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset. About Us: We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Copello is partnering with a Defence client to recruit a Principal Control Systems Engineer to join their team. In this role, you will use your expertise in PLC and SCADA systems to design, develop, and support advanced control and HCI solutions for naval platform management systems. Degree/HNC/HND

Senior Back End Engineer (Contract) We’re working with a technology-led company building a modern enterprise platform used by large organisations. The product replaces legacy systems with scalable, secure, and reliable software. This is an 8-week contract, outside IR35, fully remote, open to UK & EU-based engineers, paying £400 per day and starting immediately. The Role You’ll be responsible for key backend systems that support enterprise, multi-user workflows, with a strong focus on scalability, security, and reliability. You’ll work closely with internal product and engineering stakeholders to turn evolving requirements into robust, production-ready systems. Responsibilities • Build and maintain secure, multi-user backend services, • Implement role-based access control, audit logging, and data integrity controls, • Design and scale high-concurrency GraphQL APIs, • Develop event-driven systems, • Ensure systems are observable, resilient, and cloud-ready, • Contribute to architecture decisions, documentation, and best practices Tech Stack • TypeScript, • Postgres, • GraphQL, • Cloud infrastructure (AWS and GCP), • Node.js Requirements • Strong experience building enterprise-grade backend systems, • Proven ability to design for scale, security, and reliability, • Solid understanding of APIs, authentication, concurrency, and data integrity, • Experience shipping systems used in real, multi-user environments, • Comfortable working with incomplete requirements and tight timelines, • Clear, concise communicator in async teams

Are you an Engineer or similar, from a Security System background, preferably with experience working with CCTV and Access Control systems, looking for a position at a well-established IRS, Security, Access Control, and Fire protection c. Project Engineer (Security Systems).

Fire & Security Role: Are you a Resident Fire Alarm Engineer working with fire alarm, AOV and suppression systems? Paying up to: £45k What can you expect as an employee: • Salary between £35,000 – £45,000, • 40 hour working week, • Vehicle provided (personal use permitted), • Laptop, Samsung tablet and smartphone provided, • Dedicated on-site office area with stores, • 25 days per year annual leave, • Full training provided where required The ideal candidate would have: • Good working knowledge of Advanced Electronics and Kentec fire alarm control panels, • Some commissioning experience, • Competence fault-finding on Kentec and Advanced Electronics systems, • Experience servicing gas suppression systems (F-Gas trained), • Experience servicing AOV systems, • Experience programming panel cause and effect, • Excellent communication skills, • Experience working closely with customers at all levels, • IT literacy, • Ability to supervise subcontractors on site, • Ideally Level 3 trained (FIA or Zzeus), • Ideally based relatively local to site Qualifications: • Level 3 fire alarm qualification (FIA or Zzeus) – desirable, • F-Gas training – required for gas suppression servicing About the role: • Static resident fire alarm engineer role, based 5 days per week on site, • Based at Brunel University Campus in Uxbridge, Middlesex, • Deliver PPM, reactive works and small works installations, • Work on systems including Advanced Electronics, Kentec and legacy Kidde Vega panels, • Systems reporting via Tyrrell Reporting System using the university IT network, • Complete compliance data reporting and attend monthly review meetings, • Liaise closely with the client and security teams, • Carry out PPM and remedial works on fire alarm, AOV and fire suppression systems, • Supervise subcontractor and additional labour on site, • Ensure all Health & Safety commitments are met, • Create service schedules and manage RAMS, permits and reporting Don’t miss out on this exciting opportunity to join the team and make a difference in the fire and security industry. Apply today and take the next step in your career!

Senior Backend Engineer | London | £100,000 - £160,000 | Python | FastAPI | Systems Location: London based - hybrid Salary: £100,000 - £160,000 + equity Tech Stack: • Backend: Python (FastAPI), • Cursor, Claude Code, • AWS Are you a backend engineer who cares more about building robust systems than chasing AI hype? We are working with a recently funded Series A technology company building AI powered automation for real world, critical workflows. Their platform captures operational knowledge and turns it into production grade systems that AI can interact with safely and reliably. This is not applied machine learning, not foundation model development, and not experimental agent playgrounds. The work is focused on the engineering around AI: evaluation, control, reliability, and building systems that behave predictably in production. Engineers work closely with users, own problems end to end, and shape both the technical and product direction in a small, high trust team. It is an intellectually demanding environment where quality, correctness, and long term system design genuinely matter. Responsibilities • Design and build backend systems that power a complex, evolving platform using Python, • Own data models, schemas and database design with a strong focus on correctness and scale, • Build ingestion pipelines and integrations with production customer systems, • Develop tooling that enables AI capabilities while maintaining strong control and evaluation standards, • Work directly with customers to understand workflows and translate them into reliable systems, • Contribute to architectural decisions and long term platform evolution Requirements for Success • Strong experience as a backend or systems focused engineer, • Deep Python experience with excellent engineering fundamentals, or equivalent depth in a strongly typed language, • Strong SQL skills and experience designing schemas, • Experience building complex backend systems that evolve over time, • Comfort working in ambiguous, early stage product environments, • Experience with data ingestion pipelines or internal tooling for AI or data teams The engineering team is currently small and senior, with a strong academic and systems background. There is no formal product team. Engineers own user experience, technical decisions and delivery. The culture values thinking time, technical rigour and clear communication over speed for its own sake. Benefits • Salary between £120,000 and £160,000 depending on experience, • Meaningful equity, • High ownership role with direct influence on product and technical direction This role will not suit engineers who want to build flashy demos or constantly switch problems. It will suit someone who enjoys hard systems, deep thinking, and building things that actually hold up in the real world. If you’re looking for a role where you can make meaningful decisions, work on incredibly interesting and complex problems, and be part of an exceptional team, get in touch at .

Key Responsibilities • Assist the engineering team in the delivery and design of electrical packages for UPS and generator systems., • Provide upfront technical support to the Engineering and Sales departments regarding electrical package specification and design., • Take responsibility for specification and design of electrical packages from project handover through to completion., • Develop design documentation, including method statements, risk assessments, procedures, and associated test documentation., • Prepare technical proposals, submissions, scopes of work, and engineering studies., • Attend Factory Witness Tests for generators and control systems in the UK and/or Europe alongside client representatives., • Provide the necessary technical documentation for project operations and maintenance manuals., • Support other departmental activities as required. Qualifications & Experience • Degree in Electrical Engineering or equivalent qualification., • 3–5 years’ experience in an Electrical Design Engineer or similar with experience ideally in data centre projects, • Experience with AutoCAD and SolidWorks (desirable)., • Strong understanding of electrical systems for critical power applications (UPS, generators, switchgear)., • Ability to work collaboratively across engineering, sales, and project teams. Benefits • Private health insurance, • Performance-related bonus, • 25 days’ annual leave plus bank holidays, • Birthday leave, • Pension scheme, • Hybrid / flexible working options

JOB TITLE: Security Systems Engineer SALARY: £45,000 - £50,000 LOCATION: London / Home Counties SETTING: Office & Onsite locations 5 days per week BENEFITS: 22 days Annual Leave with an extra day every 2 years up to 30 days My client is a leading mid-market CCTV provider, working with a wide range of customers throughout London and the South. The business is owned and managed by a team with many years of experience, and due to sustained organic growth, they are looking for an excellent Security Systems Engineer to join their friendly, established team. Commutable locations: London, Surrey, South Essex, Kent Job Specification: The Security Systems Engineer is a hands-on role responsible for the call outs, installation, commissioning, of CCTV, access control, and intruder alarm systems. The role involves both planned works and reactive fault response across customer sites, ensuring systems are reliable, compliant, and fit for purpose. Requirements The focus of this position is to Install CCTV, access control, and intruder alarm systems on new and existing sites. In addition: you’ll also be responsible for.. • Fault Finding- Responding to reactive service calls and emergency faults, • CCTV Systems- Installing CCTV cameras and Configure IP cameras, NVRs/DVRs/Servers, • Offer practical recommendations for system improvements About You: - Required Experience & Skills • Proven experience in both installation and servicing of:, • CCTV systems, • Access control systems, • Intruder alarm systems, • Ability to read technical drawings and wiring diagrams Preferred Qualifications • ECS / CSCS card, • IPAF, PASMA, or similar site safety certifications, • Manufacturer-specific training or certifications, • Experience working under NSI standards If this is of any interest and you fit the requirements, please apply today! Keywords: CCTV, Access Control Systems, Intruder Alarm Systems, Cabling, Networking, VLAN, PoE, Switches

Senior Software Engineer 📍Location: Onsite, London, United Kingdom ⌛Type: Full-time 💰 Compensation: Negotiable (Competitive salary + equity) About Ontik Ontik is an ambitious, early-stage B2B financial operations platform designed to streamline and simplify complex financial workflows for heavy duty industries. We’re scaling rapidly and looking for top-tier engineers to join our team. You’ll have the chance to work in a high-performance, ownership-driven environment, where you can make a direct impact on the product and help shape its future. Role overview As a Software Engineer (Full-Stack) at Ontik, you’ll play a pivotal role in building and scaling our financial operations platform. This is a hands-on, high-impact position where you will be directly responsible for delivering clean, scalable, and high-performance code. You will work closely with product managers, designers, and other engineers to solve complex problems and create intuitive solutions that help simplify financial workflows for our users. You’ll have the opportunity to own critical features and contribute to the overall architecture of our platform. We’re looking for an engineer who thrives in a fast-paced environment, embraces ownership, and is passionate about building software that makes a real difference. If you enjoy working with cutting-edge technologies, solving challenging problems, and iterating quickly in a collaborative environment, we’d love to hear from you. Essential experience • 5+ years of experience in software engineering, ideally with some experience in a startup environment., • A proactive, ownership-oriented attitude with the ability to take initiative and drive projects forward, • Proficiency in full-stack development using any object oriented language (we use .NET) and any modern javascript framework (we use React), • Experience working with databases (SQL and NoSQL), APIs, and web technologies., • Experience with cloud platforms (AWS, GCP, Azure), • Solid understanding of software engineering principles, including clean code, testing, and version control (git)., • Strong problem-solving skills and the ability to break down complex technical issues and deliver simple, effective solutions., • A collaborative mindset, with the ability to work closely with cross-functional teams to deliver high-quality products, • Excellent communication skills to articulate technical concepts to both technical and non-technical team members, • A passion for building robust, efficient software and a desire to continuously improve your skills and knowledge, • Familiarity with financial technologies, payment systems, or SaaS products, • Experience with continuous integration/continuous deployment (CI/CD) pipelines Desirable • Experience delivering challenging integrations with 3rd party systems, • Understanding of event-driven system design Why Ontik? At Ontik, we embrace a high-performance, ownership-driven culture where every team member plays a critical role in our success. We move quickly, take responsibility for our work, and continually strive for excellence. As a Software Engineer, you’ll have the opportunity to take ownership of key features, work with brilliant colleagues, and make a tangible impact on the future of our platform. If you’re ready to solve challenging problems, build innovative solutions, and contribute to a fast-growing startup, Ontik is the place for you.

This is a job that Scout, our AI Recruiter, is recruiting for on behalf of one of our clients. She will pick the best candidates from ivee's network. The next step is to create an ivee profile. Junior Back-end Engineer Company Description: Fast-growing scale-up This is a great opportunity to join a fast-moving engineering team as a Junior Backend Engineer. You’ll help build and maintain scalable backend systems that power real-world applications, working closely with product and front-end teams. It’s a hands-on role designed for someone early in their backend career who’s excited to learn, ship, and grow. Key responsibilities: • Build and maintain server-side logic using modern backend frameworks (e.g. Node.js, Python, Go), • Work with APIs — designing, integrating, and maintaining RESTful endpoints, • Support database design and optimisation (e.g. PostgreSQL, MongoDB), • Collaborate with front-end and product teams to deliver full-stack features, • Write clean, testable, and maintainable code, • Help improve system performance, scalability, and security, • Participate in code reviews and learn from senior engineers, • Stay curious and keep learning — especially in areas like DevOps, testing, or AI tooling What we're looking for: • 1–2 years of experience (including internships or personal projects) in backend development, • Proficiency in at least one backend language (Node.js, Python, Go, etc.), • Basic understanding of how REST APIs work, • Familiarity with databases and version control (e.g. Git), • Strong problem-solving mindset and attention to detail, • A willingness to learn fast and take feedback, • Bonus: any experience with cloud platforms (AWS, GCP), testing frameworks, or containerisation How to apply: Click apply to submit your application. To be automatically shortlisted for future roles like this, head to ___ to make a free account. Don't forget to upload your CV and write a bio to begin being headhunted for your dream position!

Safe Intelligence is on a mission to make AI safe and reliable for everyone. To help us achieve this, we're seeking a Full Stack Software Engineer to join our team! We're particularly looking for someone with strong Golang, Typescript and Kubernetes experience. Python skills would also be a welcome bonus! We’re looking for experience of different types of architectures and understanding of the tradeoffs between them. In this role, you'll be a senior contributor to the development and operation of our cutting-edge cloud-based platform. You should have a passion for both science and engineering, a proven ability to deliver production-ready solutions, and a collaborative spirit to work closely with our product and research teams. Note: the role is 3-4 days per week in the office in London (based in Hammersmith). We're excited to have you contribute to our mission! Responsibilities: As a Safe Intelligence Full Stack Software Engineer, you will: • Engineering of Golang-based backend systems, focusing on API development and integration., • Engineering on our TypeScript-based frontend systems, primarily utilizing React to craft intuitive and highly functional user interfaces., • Productize and enhance our Kubernetes-based cloud platform to ensure high-availability, scalability, and cost-efficient ML workflows., • Work proficiently across the entire stack to develop and integrate new features related to model versioning, dataset management, verification workflows, and result/metric aggregations., • Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit., • Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs., • Develop and maintain Infrastructure as Code (IaC) and DevOps pipelines to ensure reliable service delivery and updates. Requirements: The technical requirements for the role are: Must have: • Ability and experience in system programming using Golang. This includes knowledge of database (MongoDB) access patterns (e.g., Optimistic Concurrency Control - OCC) and schema design, domain-driven architecture, and concurrency., • Proven experience developing production-grade RESTful APIs ideally with an API-first approach., • Some proficiency in JavaScript/TypeScript-based frontend development, with extensive expertise in React. This includes a deep understanding of the DOM, component design, CSS, and state management., • Familiarity with Kubernetes-specific platform components and principles, such as load balancers, cluster DNS, autoscalers, API/SDK toolsets, and the operator pattern. Experience developing and containerizing microservice applications is a plus., • Proficiency in integration and unit testing, with a strong commitment to code quality and maintainability., • Strong knowledge of DevOps and Git best practices. Experience automating version control, testing, and releases, preferably with GitHub Actions. Nice-to-have: • Familiarity with the OpenAPI specification and code generation toolsets for API development., • Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial., • Experience configuring and maintaining cloud infrastructure including network infrastructure, compute, access control policies, load balancers, Public Key Infrastructure (PKI), and DNS. Ideally, experience with AWS and Terraform or similar IaC tools. At a personal level we’re also looking for someone who is: • Passionate about delivering software to realize safe AI solutions in line with client needs., • Deeply technical and constantly in a state of learning., • Able to communicate clearly and efficiently with a variety of audiences including developers, clients, researchers, partners and executives., • Fearless in getting "hands-on" with technology and execution., • Has a strong understanding of modern software engineering processes., • Comfortable with ambiguity with a drive for clarity., • Collaborative with, and respectful of others on the team., • Honest, straightforward and caring about each other’s well being. Why Safe Intelligence is for you: We strongly believe AI can empower individuals and society to be happier and more productive, but this can only be achieved if the systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining us, you’ll be able to help advance the techniques, bring advanced technologies to AI/ML engineers worldwide and contribute to our shared mission to realise successful and reliable AI. Grow with us! If you think you can bring something special to this role, please apply even if you do not meet all listed criteria. Safe Intelligence is exploring uncharted waters, and finding the right crewmates is important to us. We support ongoing learning for the whole team, ranging from individual mentorship to internal seminars and support for sector and technology-specific upskilling. Compensation & Benefits Safe Intelligence provides competitive compensation based on role and candidate experience. In addition, company benefits for all roles include: • Stock option benefits, • Mentoring, learning and development allowance, • Regular team social and work events, • Flexible and generous holidays. We work hard and encourage everyone to take time off to recharge and enjoy other aspects of our lives. Equality and Inclusion We are proud to be an equal-opportunity employer and work hard to create an environment where people of diverse backgrounds and life experiences can thrive. The team is highly collaborative and meritocratic. Great ideas come from everywhere, and we strive to make it easy for people to express themselves and be heard. Location & Office Culture Safe Intelligence is based in London, UK, and we’re focused on building the initial team here. We highly value the ability to work flexibly and remotely at times, but we also have a strong belief that regular in-office interactions make for a much more fulfilling and productive work experience. Our company culture combines optimism for the future (hard problems can be solved with the right effort), speed of iteration (the best ideas come from many ideas tested), and rigour in what matters (correctness and precision are critical for safety). Come and join us to add your skills and passion to the future of Safe Artificial Intelligence!

Job Role: Senior Software Engineer, Frontend Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our new web application, powered by a Headless CMS, using the latest frontend technologies. Working with a modern Next.js TypeScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner applications. Being part of the Online team, you will be working closely with engineers, designers and the product team. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritising work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership: • Writing clean, well-tested and maintainable code, • Ensure high performance and scalability of web applications, • Thorough troubleshooting and debugging to diagnose technical issues, • Keep up to date with the latest trends and emerging technologies, • Identify technical debt and potential areas for improvement, • Actively contribute to discussions on product features, providing valuable input based on technical considerations, • Participate in code reviews, identifying opportunities for improvement and mentoring junior team members when needed, • Knowledge of best practices in security, performance and accessibility Skills, knowledge, and experience: Must have: • 8+ years of experience in frontend development, • Demonstrated strong fluency with TypeScript, Next.js and React, • Experience with design systems, component libraries and Storybook, • Familiarity with state management libraries, • Experience with the testing pyramid and tools such as Vitest, Jest, Playwright, • Strong understanding of non-functional requirements (e.g. Accessibility, Security & Performance), • Understanding of CI/CD practices and deployment pipelines, • Proficient with Git version control Nice to have: • Experience with Headless CMS (we use Sanity), • Exposure to backend or full-stack development (Node.js, Express, etc.), • Developing white-label applications, • Building internationalised applications, • Familiarity with frontend observability best practices (we use Datadog), • Experience in agile software development methodologies Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Job Role: Software Engineer, Frontend Job Type: Full Time, Permanent Location: London, Hybrid (3 office days a week) Role purpose As a valued member of our engineering team, you will contribute to the development of our new web application, powered by a Headless CMS, using the latest frontend technologies. Working with a modern JavaScript stack, your primary focus will be on coding, testing, and enhancing the functionality of Travelex's and partner applications. Being part of the Online team, you will be working closely with engineers, designers and the product team. While this is primarily an engineering role, we are always looking for developers who have a keen eye for product and who can contribute to the development of features at a product level before they are implemented. If you are eager to be part of a dynamic team, contribute to Travelex's digital-first strategy, and be part of a company that values its employees while prioritising work-life balance, we invite you to explore this exciting opportunity with us. Key accountabilities and decision ownership • Writing clean, well-tested and maintainable code, • Ensure high performance and scalability of web applications, • Thorough troubleshooting and debugging to diagnose technical issues, • Keep up to date with the latest trends and emerging technologies, • Identify technical debt and potential areas for improvement, • Actively contribute to discussions on product features, providing valuable input based on technical considerations, • Participate in code reviews, identifying opportunities for improvement and mentoring junior team members when needed, • Knowledge of best practices in security, performance and accessibility Skills, knowledge, and experience Must have: • 3+ years of experience in frontend development, building dynamic and responsive web applications, • Demonstrated fluency with TypeScript, React and frameworks such as NextJS, • Familiarity with state management libraries (Zustand, Redux, MobX etc.), • Experience working with GraphQL/REST APIs, • Knowledge of the web platform, including HTML, CSS and Browser APIs, • Experience with the testing pyramid and tools such as Vitest, Jest, Playwright, • Understanding of CI/CD practices and deployment pipelines, • Proficient in using version control systems (Git) Nice to have: • Experience with design systems and component libraries, • Experience with Headless CMS platforms, • Familiarity with responsive design principles and accessibility standards, • Experience in agile software development methodologies Why Travelex? To remain the world’s leading foreign exchange specialist, we are focused on making our customers’ lives simpler, more engaging and hassle free while they travel or move money abroad. We promise to give them the freedom and peace of mind to explore the world, their way – enabling them to travel confidently because they know they have us to lean on. Customer centricity and digital are at the heart of our business strategy. Our commitment to innovation has never been greater, with the development of a number of digital-first, greenfield products and services. And with the Travelex's resources, deep industry experience and leading brand we are inventing the future of FX, cross-border e-commerce and international payments. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

LLM, RAG & Agentic AI Engineer – Insurance Sector Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm’s long-term AI engineering capability. As demand accelerates across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial) and alongside consulting and orchestration roles, translating complex insurance problems into safe, reliable and auditable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design (Insurance-Focused) You will design and deliver production-grade AI systems for insurance clients, including: • LLM-powered applications for claims handling, underwriting support, policy servicing, document processing and customer operations, • Multi-agent architectures for insurance workflows, including triage, decision support, escalation, delegation and human-in-the-loop controls, • Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation, • Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies, • Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third-party providers, • Prompt engineering at scale with regulatory guardrails, explainability, traceability and auditability, • Safety constraints for hallucination control, coverage interpretation accuracy and customer-facing use cases Technical Discovery, Feasibility & Solution Architecture Working closely with consulting counterparts, you will: • Translate ambiguous insurance challenges into clear, feasible AI solutions, • Assess client data maturity, policy document quality, legacy platforms and security constraints, • Shape use cases across claims leakage reduction, underwriting efficiency, fraud detection and compliance automation, • Work directly with insurance SMEs to surface edge cases, exceptions, regulatory nuances and operational realities, • Produce clear, concise technical artefacts suitable for regulated, risk-aware client audiences Delivery Excellence, AI Ops & Reliability (Regulated Environments) You will ensure solutions are enterprise-ready and regulator-safe by: • Implementing evaluation frameworks for accuracy, coverage interpretation, decision consistency and bias, • Designing monitoring, logging and tracing suitable for regulated insurance environments, • Applying governance, risk and compliance principles (eg audit trails, explainability, access controls), • Supporting controlled releases and operational handover into insurer IT and operations teams, • Ensuring reliability, reproducibility, performance and cost discipline at insurance scale Reusable Assets & Insurance AI Capability Building As part of a consulting-led engineering practice, you will: • Build reusable insurance-specific accelerators, agent patterns and reference architectures, • Contribute to internal playbooks covering claims, underwriting, policy servicing and compliance use cases, • Share emerging research, frameworks and AI trends relevant to the insurance sector, • Influence delivery methodology, technical standards and agentic design patterns for regulated industries Experience & Skills This is a hands-on consulting engineering role. Candidates should bring: • Experience in software engineering, AI engineering or applied data engineering, • Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases, • Experience designing or implementing multi-agent systems or tool-calling frameworks, • Strong Python skills with experience building production-grade, regulated systems, • Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic), • Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains, • Proven ability to rapidly prototype and validate solutions with business stakeholders, • Experience working directly with clients in consulting, professional services or regulated enterprise environments, • Insurance domain experience (claims, underwriting, policy, risk, compliance or adjacent systems) strongly preferred

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. About the Role We are looking for a Robotics Test Automation Engineer to ensure that our robots move, think, and interact with the world safely and reliably. You will own the quality gate for our software releases and lead the validation of new hardware revisions.This is not a standard web-QA role; you will be working directly with Hardware-in-the-Loop (HIL) systems and whole robots, designing automated test benches, and testing regression in complex electromechanical systems. You will play a critical role in decoupling software development from hardware dependencies. What You’ll Do • Software Release Testing, • Release Validation: orchestrate the end-to-end testing pipeline for new software versions, ensuring every release meets safety and performance standards before deploying to the fleet., • CI/CD Integration: Integrate automated tests into our CI/CD pipeline (e.g., Jenkins, GitLab CI, GitHub Actions) to catch regressions immediately after code merges., • Simulation vs. Reality: Expand testing coverage in our simulation environments (e.g., Gazebo, Webots, Isaac Sim) to parallelize software testing before physical validation., • Hardware-in-the-Loop (HIL) & Hardware Revisions, • HIL Framework Design: Build and maintain HIL test benches that simulate real-world inputs (sensor data, motor feedback) to validate control logic on actual target hardware., • New Hardware Bring-up: Collaborate with Electrical and Mechanical Engineering teams to validate new hardware revisions (PCBs, sensors, actuators). You will write the test suites that verify if the new hardware plays nicely with the existing software stack., • Latency & Performance: Measure real-time performance, ensuring that software changes do not introduce dangerous latency in control loops., • Tooling & Infrastructure, • Develop Python/C++/Shell scripts to automate the flashing of firmware and configuration of robot parameters., • Experience: 3+ years in software test automation, with at least 1 year specifically in Robotics, Embedded Systems, or Automotive., • Coding: Strong proficiency in Python (for scripting/testing) and familiarity with C++ (reading production code)., • Robotics Middleware: Hands-on experience with ROS2. You understand nodes, topics, services, and actions., • HIL Experience: Experience building or maintaining Hardware-in-the-Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN)., • OS: Deep comfort with Linux (Ubuntu) environments., • Nice-to-Have:, • Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim)., • Knowledge of containerization (Docker) for consistent test environments., • Basic electrical debugging skills (using a multimeter/oscilloscope to verify hardware triggers)., • Experience with safety-critical standards (IEC 61508, ISO 26262)., • Languages: Python, C++, Bash scripts, • Robotics: ROS / ROS2, • CI/CD: [e.g., Jenkins, GitLab, GitHub Actions], • Hardware Interfaces: CAN bus, Serial, EtherCAT, • Competitive salary plus participation in our Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

We are seeking an experienced ICT Design Consultant to join a dynamic and innovative team. This is a niche role offering a unique opportunity to work on high-profile projects in London or from an office elsewhere in the UK. The successful candidate will play a crucial role in digitally enabling the built environment, ensuring cutting-edge technology solutions are seamlessly integrated into various infrastructure projects. Key Responsibilities: • Provide technical leadership and support for ICT projects, from strategy formulation to design and implementation., • Design and review ICT physical infrastructure, including structured cabling systems, building control, and communication systems., • Author and review technical specifications, design documents, and performance standards using tools like Revit, AutoCAD, and BIM., • Conduct site visits for compliance monitoring, collaborating closely with multidisciplinary teams., • Engage with client stakeholders, lead technical tasks, and manage junior staff on projects., • Contribute to ICT masterplans, feasibility studies, and develop innovative digital technology solutions., • Ensure designs conform to client requirements, health and safety laws, industry standards, and best practices. Qualifications: • Degree in Electronics Engineering, Computer Sciences (MEng, BEng, BSc), or related field., • Chartered Engineer or working towards chartership., • Minimum of 4 years' experience in ICT consultancy or engineering roles., • Proficiency in designing ICT systems such as structured cabling, IoT, satellite communications, GSM systems, and Wi-Fi mapping., • Experience with WiredScore or other technical benchmarking for buildings., • Strong ability to produce schematic diagrams, specifications, project reports, and conduct site inspections., • Excellent communication skills, both written and spoken English., • Proficiency in Microsoft Office applications and Autodesk software., • Membership in IET, BCS, BICSI RCDD, or similar is a plus., • Self-motivated with strong problem-solving skills and client-facing capabilities. This is an excellent opportunity to advance your career with a leading consultancy, gaining global experience and working on diverse projects.

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Are you ready to elevate your career? At Ripple Labs Inc., we offer an outstanding opportunity for a Senior Software Engineer to join our top-tier team in London. As a part of our dynamic and ambitious group, you will play a key role in crafting and developing groundbreaking software solutions that drive innovation and success! Responsibilities As a Senior Software Engineer, you will: • Design, develop, and implement software systems that meet meticulous quality standards., • Work with diverse teams to define technical needs and deliver impeccable solutions., • Lead efforts in resolving and debugging to ensure flawless software delivery., • Mentor and guide junior engineers, encouraging a culture of inclusion and collaboration., • Conduct code reviews to maintain our proven high standards of software quality., • Engage in agile development processes, strictly following standard methodologies., • A Bachelor's or equivalent experience in Computer Science, Engineering, or a related field., • Proven experience in software development, with at least 5 years in a similar role., • Strong proficiency in programming languages such as Typescript, JavaScript and Java, • Experience with Spring and React., • Outstanding problem-solving skills and the ability to thrive in a fast-paced, ambitious environment., • Proficient in software design patterns and standard methodologies., • Excellent communication skills and a collaborative approach. Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

Full Stack Engineer (Web & Data) Industry: Technology / Digital Products / Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‑end interfaces and API development to cloud‑based data pipelines and analytics platforms. If you love combining creativity in web development with the logic and scalability of data engineering, this is your opportunity to grow in a cutting‑edge environment. What You’ll Do • Design, develop, and maintain end‑to‑end web applications—from intuitive front‑end interfaces to robust back‑end servers and APIs., • Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‑driven applications., • Prepare and structure data for dashboards, reporting, and machine learning solutions., • Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems., • Manage CI/CD deployments and version control across hybrid AWS and Azure environments., • Analyse system performance, troubleshoot issues, and continuously improve existing solutions. Essential: • 1–2 years of experience as a Full Stack Engineer, Web Developer, or Data Engineer., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a STEM field., • Proficiency in Python and SQL for back‑end logic and data operations., • Hands‑on experience with front‑end frameworks such as React or Next.js., • Experience creating and maintaining APIs, working with relational/non‑relational databases., • Familiarity with data orchestration tools (e.g. Airflow) and data warehouse/lake design., • Practical knowledge of AWS or Azure cloud environments., • Strong understanding of Git, CI/CD, and modern deployment practices., • Experience with WordPress/PHP or Streamlit for rapid web applications., • Familiarity with dbt, Power BI, or similar data analytics tools., • Understanding of machine learning, AI integration, and vector databases., • Interest in UI design or Agile project delivery. This role offers a rare opportunity to develop both front‑end and data engineering capabilities within a forward‑thinking digital solutions team. You’ll gain hands‑on experience with next‑generation technology stacks, cross‑functional collaboration, and projects shaping how global enterprises use data and automation. Please apply with your latest CV showing all relevant experience and email your CV with your salary expectations, availability to interview and start working Dr Marina Economidou, Executive Solutions Consultant

Lead AV Installation Engineer / Lutron Programmer - I have a new position for a leading light in London that specialise in the world of high end residential AV Installation. They are now looking for a true master in the fine art of custom av installation. You will need to have a min of 4 years experience in this specific AV market. The role will see you working on projects in London and the surrounding home counties. The clients offer a good career and relevant AV training to further develop your skills and knowledge. As a lead engineer you will be expected to be a figure on site that can take control of other engineers and trades to make sure the project is delivered on time and on budget. You will have previous experience of the installation / configuration / commissioning of Crestron or Control4 or Savant AV control systems. If you have the skills and experiences that fulfil the above then please send me your full CV asap. AV A/V A-V AUDIOVISUAL AUDIO-VISUAL AUDIO/VISUAL VIDEO CRESTRON DM NVX LUTRON CONTROL4 CEDIA SAVANT AUTOMATION RESIDENTIAL BESPOKE MDUs PROGRAMMING CONFIGURATION HOME NETWORK LONDON SURREY KENT SUSSEX

Site Engineer – Steel Works Team Location: Old Oak Common Station Project, NW10 6DZ Permanent, Full-time About the Role: We are looking for an enthusiastic Site Engineer / Assistant Package Manager to join our Steel Works Team on the prestigious Old Oak Common Station Project. This role offers an exciting opportunity to support the delivery of complex structural and station envelope works, focusing on steel construction packages. You will assist in planning, scheduling, budgeting, and coordinating subcontractors, ensuring safety, quality, and timely delivery. Key Responsibilities: • Support the management of steel works packages during preconstruction and construction phases., • Assist in reviewing drawings, specifications, and technical documentation for accuracy., • Coordinate subcontractors and monitor progress against programme requirements., • Contribute to health, safety, and environmental compliance across all activities., • Maintain accurate project records, including daily diaries and progress reports., • Participate in short-term planning, progress meetings, and milestone reviews., • Assist with quality assurance processes, snagging, and inspections. What We’re Looking For: • Degree-level qualification in Civil or Structural Engineering (BEng, BSc, MSc) or equivalent., • Previous experience in a construction environment (placement or graduate level desirable)., • Knowledge of steel works and structural elements within large infrastructure projects., • Awareness of scheduling, programme management, and quality control processes., • Strong understanding of safety protocols and regulatory standards., • Excellent communication and IT skills, including familiarity with BIM and construction management tools. Desirable: • SSSTS/SMSTS certification., • Experience with NEC3 contracts and document control systems (e.g., BC, eB, CEMAR). Why Join Us? • Be part of a landmark infrastructure project shaping the future of UK transport., • Work within a collaborative team committed to safety, integrity, and innovation., • Opportunities for professional development and career progression.

Control Systems Software Engineer Introduction: This organisation designs and delivers mission-critical technology that underpins some of the UK’s most complex and regulated environments. This role sits at the heart of long-life, safety-critical systems that directly support national defence operations. Role Overview: • Location: London (hybrid working available), • Package: Competitive salary, bonus, private healthcare, flexible working, • Industry: Defence / Maritime Systems What You’ll Be Doing: • Designing, developing and testing control system and SCADA solutions for highly regulated environments, • Working on human-computer interface and platform management systems used in operational naval settings, • Translating customer and stakeholder requirements into robust technical solutions, • Developing and validating software on RedHat Linux-based systems, • Producing clear technical documentation in line with regulatory and internal standards, • Supporting systems throughout their operational lifecycle, including in-service capability, • Collaborating with project teams and contributing to technical reviews and briefings Main Skills Needed: • Experience developing software within SCADA environments using languages such as C#, C++ or VB, • Strong hands-on knowledge of RedHat Linux, • Understanding of software development lifecycles and regulated engineering processes, • Background in defence, maritime, aerospace, or another safety-critical industrial sector, • Qualification (degree, HNC/HND or equivalent) in Software, Systems, or Electrical/Electronic Engineering, • Ability to gain and maintain UK SC security clearance, • Nice to have: Experience with Siemens WinCC Open Architecture (OA) What’s in It for You: • Flexible and hybrid working, including the option of a compressed working pattern, • Exposure to complex, large-scale systems with real-world operational impact, • Long-term career development within a centre of engineering excellence, • Opportunities to build expertise in functional safety, cybersecurity and industrial systems, • A role where your work directly contributes to nationally significant programmes Call to Action: Let’s talk about what your next move could look like. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

As a Senior ILS Engineer within the ILS / Obsolescence team, you will support the delivery of contracted ILS requirements across key UK Defence programmes and contribute to the continued development of the Integrated Logistics Support discipline. Working within a sovereign UK defence engineering environment, you will support complex, safety-critical systems deployed in support of UK and allied defence operations. Key Responsibilities • Deliver core ILS activities, including impact of change assessments to system support solutions, • Conduct and support FMECA, LORA and Life Cycle Costing activities, • Support PHS&T, training and disposal considerations, including hazardous material and security constraints, • Produce ILS Management Plans in line with DEF STAN 00-600 and business ILS strategy, • Deliver proactive and reactive obsolescence management in accordance with BS EN-IEC-62402, • Identify spares requirements in line with MoD policy and NATO codification principles, • Support reliability and availability analysis, including ARM reporting and Reliability Block Diagrams, • Support customer maintenance policy development, UMMS schedules and RCM activities, • Contribute to bid and proposal activities, including requirements review and Basis of Estimate development, • Ensure compliance with ILS requirements and promote the value of ILS across engineering stakeholders, • Demonstrate understanding of the full engineering lifecycle, from contract delivery through in-service support What We’re Looking For • Proven experience delivering ILS within the UK Defence environment, • Engineering degree or equivalent experience, ideally supported by an HNC Level 4 qualification or above, • Strong knowledge of relevant UK Defence and international ILS standards, • Experience supporting ILS activities on maritime surface or sub-surface platforms, • Experience of ILS applied to control systems and software

AI Engineer [Analyst/Associate] About the job As an AI engineer on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to build and deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking for AI engineers who care about impact: people who want to see their models not just trained, but deployed, adopted, and driving measurable results. What You’ll Do • Design and deliver AI systems: Build and deploy machine learning models and data-driven products that directly impact investment decisions and portfolio company performance., • Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value., • Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering, and rapid iteration are key to creating business value., • Leverage modern tools and methods: Use contemporary ML frameworks, cloud platforms, and MLOps best practices to build scalable, reusable solutions., • Communicate insights clearly: Distill complex technical findings into concise, actionable narratives for technical and business audiences alike., • Keep learning and pushing boundaries: Expand your engineering toolkit across the full ML development lifecycle—from prototyping to deployment—and explore new architectures, tools, and approaches to solving complex, real-world problems. Sample Projects You’ll Work On • Generative AI for due diligence: Lead the rollout of our in-house GenAI platform across investment desks to automate and accelerate due diligence. You’ll configure and extend the system for desk-specific processes, run proof-of-value pilots, measure business impact, and collaborate closely with users to drive adoption and effectiveness., • Automated Deal Sourcing Workflows: Prototype experimental systems to automate early-stage deal sourcing. You’ll build integrations to extract signals from public and proprietary data sources, integrate with third-party APIs to enrich lead information, and integrate with in-house GenAI platform to create a structured data asset. This includes designing modular components for adaptability across investment strategies, running pilot deployments, and collaborating with users to refine workflows and measure sourcing efficiency. Your Experience We’re a small, high-impact team with a broad remit and diverse technical backgrounds. We don’t expect any single candidate to check every box below - if your experience overlaps strongly with what we do and you’re excited to apply your skills in a fast-moving, real-world environment, we’d love to hear from you. • Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on expertise in applied statistics, machine learning, forecasting, NLP, computer vision, or optimization., • Python expertise: Skilled in writing production-grade code in Python (e.g., using type hints and understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains:, • Data science stack: NumPy, pandas / polars, scikit-learn, XGBoost, LightGBM, • Deep learning: PyTorch, JAX, • Statistical programming: NumPyro, PyMC, • Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics and modeling workflows., • ML Ops & deployment: Familiarity with deploying models into production using APIs or microservices, and applying ML Ops practices such as experiment tracking (e.g., MLflow, Weights & Biases), model versioning, and performance monitoring. Experience collaborating with engineering teams to ensure scalable and maintainable deployment., • Backend & service development: Experience building production-grade Python webservices (e.g., FastAPI, Flask), developing APIs, and integrating ML components into broader systems., • Software engineering practices: Comfortable with testing, code reviews, CI/CD pipelines, and version control (Git, Azure DevOps) beyond the very basics, ensuring reliable and maintainable codebases., • Infrastructure & cloud: Familiarity with cloud platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform., • Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus., • Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach to delivering solutions that create measurable business value, while remaining statistically robust. About Us We are a new, but growing team of AI specialists - data scientists, software engineers, and technology strategists - working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. Our remit is broad, spanning investment operations, portfolio companies, and internal systems, giving the team the opportunity to shape the way the firm approaches analytics, automation, and decision-making. We operate with the creativity and agility of a small team, tackling diverse, high-impact challenges across the firm. While we are embedded within a global investment platform, we maintain a collaborative, innovative culture where our AI talent can experiment, learn, and have real influence on business outcomes.

Senior Integrated Logistics Support Engineer This role sits at the heart of major UK defence programmes, helping ensure complex systems are supported, sustained, and future-proofed. You’ll play a key role in shaping long-term support strategies while influencing how critical platforms perform throughout their lifecycle. Role Overview: • Location: London (hybrid working available), • Package: Generous Salary + bonus & benefits, • Industry: Defence / Engineering / Systems & Software What You’ll Be Doing: • Delivering Integrated Logistics Support across complex defence engineering programmes, • Assessing the impact of design and system changes on long-term support solutions, • Leading and contributing to analyses including FMECA, LORA, LCCA and PHS&T, • Supporting training, disposal planning, and hazardous material considerations, • Producing ILS management plans aligned with defence standards and business strategy, • Driving proactive and reactive obsolescence activities across system lifecycles, • Identifying spares strategies in line with MoD policy and NATO codification, • Supporting reliability modelling, maintenance policy development, and RCM activity, • Contributing to bid work, shaping estimates, and challenging customer requirements, • Championing the value of ILS across engineering, delivery, and customer teams Main Skills Needed: • Proven ILS or support engineering experience within the UK defence environment, • Engineering degree or equivalent experience (HNC Level 4 or above), • Strong understanding of UK Defence Standards and relevant international standards, • Experience supporting maritime surface or sub-surface platforms, • Exposure to control systems and software-focused support environments, • Working knowledge of obsolescence management and lifecycle support principles What’s in It for You: • Flexible and hybrid working, including optional compressed weeks, • Private healthcare, performance-related bonus, and strong pension offering, • Career development opportunities across large-scale, high-impact programmes, • Exposure to nationally critical systems with long-term investment and stability, • Support with relocation and the opportunity to work on genuinely meaningful projects Call to Action: If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

New Equipment Engineer Job - Middlesex An exciting opportunity has arisen in Middlesex for an experienced Equipment Maintenance Engineer to join a highly skilled Technical Services function supporting complex manufacturing and test environments. Key Duties and Responsibilities The Equipment Maintenance Engineer will: • Carry out repairs, improvements, and de-risking activities on manufacturing and test equipment., • Support engineering programmes addressing obsolescence, unreliability, and process risk., • Contribute to the upgrade, refurbishment, and replacement of complex equipment including vacuum systems, high-voltage systems, RF systems, scientific furnaces, thin-film coating systems, and control hardware., • Work closely with multi-disciplinary engineering teams and external contractors to ensure work is delivered safely, on time, and to specification., • Assist with technical specifications, supplier evaluations, and contractor proposals. Experience and Technical Background The successful Equipment Maintenance Engineer will demonstrate strong practical and technical experience in several of the following areas: • High-risk systems such as high voltage, high energy, vacuum, plasma, RF, and complex control systems., • Engineering support within manufacturing, electronics, or advanced technology environments., • Capital equipment upgrades, lifecycle planning, and commissioning activities., • Risk assessments and health and safety compliance. Personal Attributes The Equipment Maintenance Engineer will bring: • A hands-on approach with sound engineering judgement and attention to detail., • The ability to analyse complex problems and propose practical, long-term solutions. Qualifications • Degree or equivalent qualification in Electrical/Electronic Engineering, Aeronautical Engineering, Mechatronics, or a related discipline., • HNC/HND or military engineering qualifications will be considered with substantial relevant experience. This Equipment Maintenance Engineer role offers the opportunity to work on technically challenging equipment in a safety-critical environment, based in Middlesex, with significant scope to influence long-term engineering capability and reliability. You can also contact Keelan Riley on or call 01525 664852 for more information

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. THE WORK: We are looking for a Senior Software Engineer passionate about solving ambitious problems and working directly with Ripple Trading and Markets in the cross-border payments space. We are passionate about the growth of our engineers and place a premium on career development. You will have a high degree of accountability and responsibility from Day 1. You will be an integral part of the Ripple Trading and Markets Team, building scalable, resilient and performant trading systems in a constantly evolving and fast paced environment. You will have real impact and have the opportunity to drive the architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks • Low-latency Algorithms for Automated Trading and Systematic Market Making, • Real-time streaming pipelines and signals, • Pricing libraries and tooling, • Further evolution of the Algo suite, refining the signal processing and breadth of trading strategies and products., • Building towards an event-driven architecture to connect the logical building blocks and provide integrated communication between trading systems and to other partners., • Be an ambitious builder, working up and down the stack, mixing software engineering, data engineering, and distributed systems knowledge to build modern enterprise payment applications., • Build reliable, high-throughput, low-latency microservices to power a diverse range of trading use cases, • Engage in the complete software development lifecycle by collecting requirements, showcasing solid software design principles, and maintaining operational excellence through unit and integration testing, • Be a true owner, managing and supporting Trading Engineering applications throughout product lifecycle, • Work with teams across the organization, including product, legal, and business development to think beyond the technical implications of your design decisions, • Continuously raise our standard of engineering excellence by implementing and driving standard processes for coding, testing, and deployment, • Proactively identify customer and infrastructure difficulties and drive corresponding solutions., • 5+ years of software development with minimum 2 years in Ops or DevOps experience in trading environments, with expertise in large-scale distributed systems; recent work in Java, Go, or Scala is preferred., • Hands-on experience with container orchestration (Kubernetes, Docker, etc.) and cloud infrastructure, especially AWS; familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation., • Strong CI/CD and deployment pipeline skills, with a security-first mentality and experience building scalable, robust, and secure distributed services., • Background in front-office trading systems, ideally with exposure to FX or crypto trading; front-end experience with React or similar frameworks is a plus., • Collaborate with the team to implement, configure, and manage comprehensive monitoring, logging, alerting, and observability solutions - advocating for security best practices., • Deploy, manage, operate, and scale applications and services on AWS - whilst troubleshooting performance issues across the stack., • Collaborative, agile approach, passionate about clean architecture, continuous improvement, and engineering standard methodologies., • Strong communication and mentorship skills, with a desire to share knowledge and work closely with a diverse and high-performing team. WHO WE ARE: Do Your Best Work • The opportunity to build in a fast-paced start-up environment with experienced industry leaders, • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning., • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team., • In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in., • Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team, • Competitive salary, bonuses, and equity, • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support, • Employee giving match, • R&R days so you can rest and recharge, • Generous wellness reimbursement and weekly onsite & virtual programming, • Generous vacation policy - work with your manager to take time off when you need it, • Industry-leading parental leave policies. Family planning benefits.

🚀 Junior Project Engineer (Mechanical or Electrical) 📍 London Based + Occasionally Nationwide | Data Centres 💰 £30,000 – £40,000 + Car Allowance + Expenses 🏖 25 Days Holiday + Birthday Off I’m currently working with a highly regarded cost and project management consultancy that is continuing to grow within the data centre sector. With a strong pipeline of work — much of it delivering projects for Amazon — this is a brilliant opportunity for a Junior Engineer looking to build a long-term career in one of the fastest-growing areas of construction and engineering. 🔧 The Role This company is looking to appoint a Junior Engineer on a permanent basis, with either a mechanical or electrical bias. This role would suit someone coming from a trades background or a graduate who is hungry to learn, develop, and get hands-on experience on live projects. You’ll be supporting senior engineers and project teams on data centre projects across the UK. The role will involve travel and occasional overnight stays, with all hotels, travel, and expenses fully paid. Full training and future professional courses can be funded — the key requirement is attitude. They’re looking for someone motivated, curious, and willing to get stuck in. • Support the production and review of technical drawings, layouts, and schematics (mechanical and/or electrical), • Help with cost planning, valuations, and change control, particularly on MEP packages, • Attend site visits and inspections, reporting on progress, quality, and compliance with specifications, • Assist in the coordination between design teams, contractors, and clients, • Support the review of method statements, technical submissions, and commissioning plans, • Gather, analyse, and organise project data, drawings, and documentation, • Help track project programmes, risks, and deliverables, • Support testing, commissioning, and handover processes, • Ensure work complies with current regulations, standards, and best practice, • Learn and develop an understanding of HVAC systems, power distribution, lighting, fire systems, and controls (depending on bias), • Build knowledge of specialist environments such as data centres, critical infrastructure, and complex MEP installations 🌟 Why Apply? • Entry into the data centre market — one of the most secure and future-proof sectors, • Exposure to major global clients, including Amazon, • Genuine investment in training and career development, • Supportive consultancy environment with clear progression, • Competitive package including:, • £30,000 – £40,000 salary, • Car allowance, • All travel & accommodation expenses paid, • 25 days annual leave + your birthday off This is an ideal opportunity for an ambitious Junior Engineer who wants more than just a job — it’s a chance to build a career with a consultancy that’s going places. 📩 Apply through this advert to be considered or email me your CV directly to

Job Title: Engineering Supervisor (Facilities Management) Location: Greenwich, London Salary: £46,000 – £47,000 DOE Shift Type: Monday–Friday, Days (flexibility required for peak periods and occasional weekends) Benefits: Pension, 25 days holiday + bank holidays, overtime opportunities, training and Authorised Person certification, career progression within a large facilities environment The Role We are recruiting an experienced Engineering Supervisor to lead service delivery across a large academic estate in Greenwich. This role sits within a well-established facilities operation supporting a complex mixed-use portfolio, delivering both planned and reactive maintenance to high compliance and service standards. You will supervise a multi-skilled engineering team covering mechanical, electrical, HVAC and fabric services, ensuring statutory compliance, asset reliability, and excellent customer experience for residents and stakeholders. The position requires strong leadership, technical credibility, and the ability to operate within a performance-driven FM environment. This is a hands-on leadership role with responsibility for labour coordination, subcontractor management, CAFM utilisation, audit readiness, and continuous improvement of service delivery. Key Responsibilities • Lead, motivate and manage a team of engineers and compliance operatives across Hard FM services., • Ensure all M&E systems remain fully operational, compliant and maintained to statutory standards., • Manage PPM schedules and reactive maintenance via CAFM systems, ensuring SLA and KPI adherence., • Coordinate direct labour and subcontractors, including quality inspections and compliance documentation., • Act as or progress toward Authorised Person status within your discipline (training provided)., • Oversee health & safety compliance, safe systems of work, and incident reporting., • Support peak operational periods including student changeover weekends., • Manage materials ordering, cost control, resource planning and engineer utilisation., • Conduct audits, drive service improvement plans, and maintain high-quality Hard FM documentation., • Develop engineers through training, appraisals, and performance management., • Build effective working relationships with on-site stakeholders and service partners. Candidate Profile • HND / NVQ (or equivalent) in Electrical, Mechanical, Building Services or related discipline., • Minimum 3 years’ hands-on building services / plant engineering experience., • Previous supervisory or team leadership experience within FM or estates environments., • IOSH Managing Safely (or willingness to obtain)., • Authorised Person experience (LV, Mechanical, Boilers, Confined Spaces etc.) or willingness to train., • Strong technical knowledge across Hard FM disciplines., • Experience working within TFM / IFM environments., • Confident using CAFM systems, Microsoft Office and performance reporting tools., • Strong stakeholder communication and organisational skills., • Understanding of compliance, audits, risk assessments and safe systems of work., • Exposure to heritage or listed buildings is advantageous but not essential. Why Apply • Stable, long-term opportunity within a well-funded campus environment., • Clear development pathway into senior engineering leadership., • Investment in Authorised Person training and professional development., • Varied technical estate with high operational standards., • Strong team culture with structured support and progression. To apply or to discuss this opportunity confidentially, please contact the Pertemps Engineering Division. Pertemps Engineering – Connecting engineering talent with industry-leading employers.

Lead Engineer Corporate Office Facilities Management 💼 Contract: Full-time, Permanent 💰 Salary: Up to £55,000 per annum ⏰ Hours: Monday–Friday (08:00–17:00 or 09:00–18:00) ➕ Overtime available The Role We are recruiting for an experienced Lead Engineer to take responsibility for engineering operations within a high-end, Class A corporate office environment. This is a key, on-site leadership role focused on ensuring the safe, efficient, and reliable operation of all building systems. You will act as the main point of contact for all engineering-related matters, providing technical leadership, supporting audits and reporting, and maintaining strong, proactive relationships with key stakeholders. Key Responsibilities • Oversee all MEP, HVAC, fire and life safety, and energy systems, • Deliver effective planned and preventive maintenance to ensure system reliability, • Manage and optimise BMS/BAS and EMS platforms, • Lead fault finding, troubleshooting, and continuous improvement activities, • Serve as the senior engineering contact for inspections, audits, and reporting, • Supervise multi-skilled engineers and specialist contractors on site, • Ensure compliance with health & safety and statutory regulations, • Support team development, performance, and professional standards, • Manage vendors, inspections, permits, and maintenance stock, • Assist with budget control, expenditure tracking, KPI reporting, and compliance, • Participate in occasional out-of-hours or weekend work when required About You • Proven experience in a commercial or corporate building services environment, • Strong leadership capability with hands-on technical expertise, • Solid understanding of statutory compliance and critical building systems, • Professional, client-focused, and confident communicator, • Comfortable working in a customer-facing, premium office setting Benefits • Overtime opportunities, • 33 days annual leave (including bank holidays), • Employee Assistance Programme, • Recognition & Reward Scheme, • Life Insurance (1x annual salary), • Cycle to Work scheme, • Recommend a Friend bonus scheme, • Regular company events, • Ongoing training and development opportunities If you’re a motivated Lead Engineer looking to step into a high-profile, technically varied role within a professional corporate environment, this could be an excellent next move.

Vehicle Technician London Up to £40250 per annum + Overtime available + Monday to Friday Are you an experienced engineer who enjoys working with your customers to solve engineering problems? Do you have the engineering and commercial know-how to effectively represent a global leading brand? If so, you should continue reading… The Company You will be joining an organisation synonymous with engineering excellence, developing leading power generation technology solutions for customers in the marine, construction, agricultural, rail and defence sectors (amongst others). A genuine leader in their field, this company provides comprehensive training for the engineers, to reflect the developing and emerging technology in its product range. Customer relationships are key, hence the Service Engineer we are looking for will have a clear track record of delivering added value services in client facing roles. The Ideal Candidate You will be experienced in both the mechanical and electrical maintenance of diesel engines and / or propulsion systems and associated electrical control technology, ECU’s (Electronic control unit). Qualified to NVQ2 as a minimum you will have demonstrable experience of fault diagnostics and remote diagnostics and conditioning. Working in the customer location that is a highly safety critical environment, you will be required to undertake pre-employment checks including medicals, drug and alcohol screens Due to the nature of the role, we welcome applications from the ex-forces personnel, such as RAF, Royal Navy or British Army, or experienced engineers within Marine, Rail, Automotive, HGV or Bus sector. This is a fantastic opportunity to move your career towards the Rail sector! The Role As the Vehicle Technician, you’ll be carrying out fault diagnostics on modern diesel engines. Fully product training will be provided as Vehicle Technicians are responsible as product experts for ensuring performance and availability for the diesel engines in the rolling stock. Whilst hands on work, at the heart of this role is being able to undertake remote diagnostic work to obtain, evaluate and interpret data to identify likely faults before physically seeing the engine. This represents intermediate fault-finding activity and fault resolution courtesy of effective condition monitoring. The Salary Basic salary of £35,000 per annum. This role is Monday to Friday 7am to 4pm, 40 hours a week, 25 Days holiday + BH, Attractive pension scheme, private medical and other big company benefits are offered as standard. If you are passionate about providing exceptional customer service within a Vehicle Technician role and can offer the knowledge and flexibility the role requires, get in touch for immediate interview! Either email your CV to or call 07814890976 to discuss Please note – you must be able to prove eligibility to work in the UK to be considered for this position

Power engineering consultancy requires an HV Design Engineer with control and protection design experience to work on a hybrid / remote basis. Responsibilities: • Design, specify, and configure protection schemes and control systems (e.g., relays, PLCs, SCADA) to ensure safe and reliable operation of power system assets., • Produce detailed engineering deliverables, including protection studies, logic diagrams, schematics, wiring diagrams, and settings calculations in compliance with applicable standards., • Review, test, and commission control and protection equipment through factory acceptance tests (FAT), site acceptance tests (SAT), and on-site commissioning activities., • Troubleshoot system issues, support operations and maintenance teams, and ensure designs meet safety, regulatory, and client requirements throughout the project lifecycle. Previous experience in HV protection design is required, as well as proficiency in AutoCAD. Apply to Andrew Snelgrove at Deploy. *salary range based on skills and experience needed for the role

Senior Software Engineer (Python - FastAPI) This fast-growing consultancy is pushing the boundaries of AI and data science, helping clients turn complex challenges into scalable, production-ready solutions. They’re now hiring a Senior Software Engineer who can blend deep technical expertise with a practical, delivery-focused mindset. Role Overview: Location: London (hybrid) Package: Competitive salary + bonus + benefits Industry: AI, Data Science & Technology Consulting Security Clearance: Applicants Must have Active SC Clearance or above What You’ll Be Doing: • Leading the end-to-end design and build of applications that utilise advanced AI and data-led software solutions., • Developing scalable data pipelines and backend services that support complex modelling work., • Setting standards for clean, efficient engineering across Python(FastAPI), SQL and cloud environments., • Training, tuning and deploying machine learning models into production., • Creating processes for robust data extraction, transformation and management., • Integrating new solutions with existing systems and ensuring smooth deployment., • Producing clear technical documentation and presenting findings to clients., • Staying current with emerging technologies and bringing fresh ideas into the team., • Contributing to proposals and shaping new project opportunities., • Mentoring junior engineers and driving best practice across the engineering team. Main Skills Needed: • Strong track record delivering complex software projects end-to-end., • Deep expertise in Python Application Development (FastAPI), with a strong SQL capability., • Hands-on experience building data pipelines, APIs and backend services., • Solid understanding of cloud platforms (Azure/GCP) and Bash scripting., • Advanced Docker knowledge, including storage, volumes and permissions., • Strong grounding in software engineering principles, version control and CI/CD., • Ability to review and improve others’ code with a collaborative approach., • Excellent communication skills and confidence presenting technical work., • Experience mentoring or line-managing technical team members., • Eligible for UK security clearance (British citizenship and UK residency for 5+ years). What’s in It for You: • A genuinely entrepreneurial environment with autonomy and variety., • Projects spanning multiple industries, technologies and data challenges., • 26 days’ holiday + bank holidays + your birthday off., • BUPA private healthcare and a £1,000 annual development budget., • Performance-based bonus and hybrid working from a modern Shoreditch office., • Work from abroad for one month each year., • Regular socials, snacks and a supportive, ambitious team. Think it could be a fit? We’d love to hear from you. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

All3 is transforming how buildings are conceived, developed, and delivered. We combine AI-powered design with robotic prefabrication and on-site assembly to build custom architecture at the cost and speed of mass production - unlocking even the most complex sites. We’re currently seeking a Senior Perception Engineer to lead the development of our 2D/3D perception systems, enabling reliable manipulation and autonomy in complex, semi-structured construction environments. You’ll architect and implement the perception capabilities deliver reliable manipulation and autonomy in dynamic and unstructured environments. Responsibilities: • Design, develop, and deploy 2D and 3D perception pipelines for object detection, tracking, segmentation, etc.;, • Ensure robust perception for manipulation under varying environmental conditions., • Fuse and calibrate data from multiple sensors (RGB, depth, IMU, etc.) to achieve reliable scene understanding;, • Train and fine-tune domain specific perception models from scratch for novel and semi-structured construction environments;, • Design and integrate end-to-end pipelines, from data acquisition and labeling to inference, deployment, and feedback-based improvement;, • Lead integration and testing of perception systems in simulation and real-world hardware environments;, • Collaborate closely with manipulation, control, and autonomy engineers to deliver cohesive, real-time robotic behavior. Expertise: • Strong proficiency in Python and C++ for production-grade robotics software., • Deep understanding of computer vision and 3D perception;, • Proven ability to build perception models from the ground up, including data generation and augmentation, model design, and optimization;, • Experience designing, integrating, and maintaining end-to-end perception pipelines, from raw sensor data to deployed systems;, • Hands-on experience with sensor selection, placement, and calibration., • Expertise in training and fine-tuning models for perception in novel or domain-shifted environments;, • Solid foundation in MLOps, including dataset management, training infrastructure, and deployment pipelines. Nice to have: • Experience in construction robotics, heavy machinery, or large-scale manipulation tasks., • Familiarity with vision-language models and their use in robotic task planning., • Experience deploying optimized, reliable, real-time perception code on embedded or distributed robotic systems. We offer: • Chance to be a part of a large-scale project;, • Team driven by impactful cause;, • Hybrid format of work with the lab located in Park Royal;, • Private dental or full medical (dental treatments aren’t covered) insurance;, • Flexible working schedule;, • 28 days of annual leave. At All3, you’ll shape the next frontier of architecture and robotics, where AI meets construction. You’ll work alongside world-class roboticists, designers, and engineers to push the limits of what’s possible in autonomous building systems.