Train engineer jobs in Reino Unido

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. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #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, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #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, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #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, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #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, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch)., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #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, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. Please note this is a training course and fees apply

Senior Design Engineer - Hybrid - some travel to our Canning Town office when required- E16 We are looking for an experienced Senior Design Engineer to join our expanding Rail Systems Engineering team. You will be working in a part of Telent that is dedicated to maintaining the UK wide rail network. Our customers include Transport for London, Network Rail and a host of Train Operating Companies. R... ZIPC1_UKTJ

Are you from a Heat Pumps, HVAC or MVHR background that wants to join a company that will train you and progress you into a Commisioning Engineer?. Heat Pump Service Engineer (Stepping up to Commisioning Engineer). Do you want to work for a industry leading business with state of the art new suite o

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers protect their ad spend. THE COMPANY This fast-scaling SaaS company is using machine learning to make digital advertising more transparent, efficient, and fraud-free redefining how advertisers protect and optimise their campaigns. Their machine learning platform detects and blocks invalid or low-value clicks across search, display, and social channels, empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer, you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the other teams to launch new models, enhance real-time tracking, and deliver high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: • Developing and maintaining large-scale data pipelines and backend systems in Python., • Working with AI/ML datasets to help train and deploy new detection models., • Building and improving integrations, and working on greenfield product developments., • Collaborating with data science and applications teams to deliver features at scale., • Working with real production data (billions of data points) in a fast-paced, high-impact environment., • Deploying code to production with flexibility to shape and improve existing processes. SKILLS AND EXPERIENCE The successful Senior Python Engineer will have the following skills and experience: • Strong Python (python frameworks), backend development experience (3+ years), • Experience working with AI/ML or big data systems., • Familiarity with AWS, Redshift, or other cloud data platforms (GCP/Azure also welcome)., • Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus., • Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits: • Salary: £65,000 – £85,000, depending on experience, • Hybrid working with 2 days in the London office, • Opportunity to work with cutting-edge ML and large-scale data systems, • Career growth in a rapidly scaling Series A company, • Collaborative, innovative engineering culture with high ownership, • Great work-life balance HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

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.

Overview The Maintenance Engineer will play a key role in supporting day-to-day production operations, including machine programming, process validation, and technical support to the manufacturing team. This position will focus on driving process improvements, enhancing manufacturing efficiency, and maintaining high standards of product quality through continuous improvement initiatives. Key Responsibilities • Assess new and existing technologies to develop and optimise manufacturing plans., • Maintain equipment functionality by performing basic maintenance and coordinating external servicing for major repairs., • Oversee maintenance records and troubleshoot production issues to minimise downtime., • Establish, implement, and sustain manufacturing processes for new products across their full life cycle., • Evaluate equipment and production methods with the goal of improving performance, efficiency, and reliability., • Create and validate automated machine programs., • Develop detailed process documentation and train production staff on updated procedures., • Provide advanced technical support to production teams to resolve complex issues., • Collaborate with Quality teams to analyse performance data, identify trends, and recommend corrective actions., • Use structured problem-solving techniques (e.g. root cause analysis) to address assembly and process issues., • Create and manage all manufacturing documentation in accordance with internal standards., • Perform additional related duties as required to support manufacturing operations. The Candidate Holds an engineering qualification Strong understanding of Design for Manufacture (DFM) principles. Knowledge of lean manufacturing and continuous improvement techniques. Ability to read and interpret technical drawings, electrical schematics, and assembly documentation. Experience using ERP/MRP systems in a production environment. Capable of working under pressure and meeting tight deadlines. Excellent communication skills, with the ability to collaborate across teams and departments. Strong organisational skills with the ability to prioritise multiple projects effectively. Familiarity with project management methodologies is advantageous. The Package Salary: From £40,000 per annum, depending on experience.

About MosaiQ MosaiQ is a fast-growing AI company transforming the way professional-services firms operate. We help consulting teams, private equity funds, investment advisors, and other knowledge-driven organisations turn their expertise and workflows into AI-powered systems — in days, not months. Our uniqueness: • We reverse-engineer real work, map knowledge, and build hybrid AI + human workflows, • We augment experts rather than replace them, • We deploy custom AI into real business processes with measurable impact, • We work directly with decision-makers who value speed, quality, and judgment The Role We are looking for a Business Operations Intern to help transform MosaiQ into a fully AI-augmented organisation. This role is ideal for someone who is curious, proactive, and excited about applying AI to real work — not talking about it. You will observe how the company operates, identify repetitive work, break it into steps, and build AI-powered automations and internal tools that make us faster, smarter, and more efficient. You will work closely with the founder and collaborate with senior engineers who can support your builds. You will own execution and help the company operate as though it has twice the headcount. Responsibilities Process Identification & Mapping • Observe and document recurring manual tasks, • Identify bottlenecks and opportunities to automate, • Translate messy internal workflows into structured steps AI Tools & Automation Build • Use modern AI tools to automate repeated tasks, • Build workflows, internal assistants, and AI agents, • Test and iterate based on performance and feedback Internal Tooling • Create templates, dashboards, and internal utilities, • Support automation for research collection, CRM enrichment, content generation, etc. Company Enablement • Help ensure internal knowledge is captured, • Train the team on tools you build, • Track adoption, usage, and areas for improvement Who You Are You will thrive here if you: • Are curious, resourceful, and hands-on, • Enjoy figuring out how things work behind the scenes, • Use AI tools actively to improve your own workflow or output, • Think in workflows and systems rather than individual tasks, • Want responsibility early rather than watching from the sidelines Bonus points if: • You have used workflow or automation tools (Zapier, Make, Langflow, Replit, Claude Projects, Copilot Studio, Notion automations, etc.), • You have built a bot, script, dashboard, automation, or internal tool — even informally, • You have exposure to product, engineering, or ops environments, • You have tried light scripting or API integrations (not required) Mindset That Matters • Bias toward action — you build and iterate quickly, • Builder mentality — small experiments first, scale once validated, • Ownership — you drive tasks without waiting to be instructed, • Comfort with ambiguity — fast-changing environments energise you, • Direct collaboration with experienced AI engineers and builders, • Real-world experience building AI-powered workflows and agents, • A portfolio of practical tools that you delivered end to end, • Insight into how AI reshapes work inside a company, • The chance to turn the internship into a full-time role if the fit is right

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs. We’re looking for a Senior NLP Engineer, with a proven track record of delivering ML models to production, to join the ML team in our growing company. What you will do 🚀 • Build fundamental models for education - solving the ultimate learning task of predicting student knowledge and optimal ‘next task’, • Build fully-automated pipelines for dictionary building; including span identification, word sense distribution, and sense granularity decision, • Work with a vast amount of unique data - we have data from over 1M language tests, including text and voice data, • Create brand new dictionaries and train models to determine the difficulty of words, idioms, phrasal verbs etc., • Analyse large amounts of diverse data - including data from every movie, book, and song, • Work in a cross-functional team and communicate with backend engineers and product managers, • Create new types of tests for language learners to gather more test results, analyse them, and build prediction models based on these results, • Optimise and fine-tune machine learning models for performance, scalability, and accuracy Essential skills 🙏 • Strong expertise in NLP, • Complete end-to-end experience - from finding and cleaning data all the way to monitoring models in production, • Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers, • Experience building automated data pipelines, • Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar), • Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services, • Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with reinforcement learning, • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.), • Experience using voice data in ML models What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • Freedom to suggest, implement, and test ideas, • Unlimited learning & development budget (courses, conferences, books etc.), • Lunch provided by the company every day, • Regular social events, • 25 days annual leave + public holidays, • Work from our London office Interview Process 🧪 • 3 interviews, which will be mixture of technical and non-technical tasks, • If all the interviews are successful, we’d like to invite you to 2 or 3 paid trial days, or to complete short project remotely with us, to learn what it’s like to work at Glite.

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. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee 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, • Private Health Insurance, • Office perks: free hot 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

Manufacturing Test Engineer – Electronics & Optical Systems London – 6-Month Contract (likely to be extended) Days/Nights – Up to £47p/hr (Umbrella) + Night Uplift About the Role We are seeking a Manufacturing Support Engineer with strong electronics and opto-electronic experience to support the assembly, test, and troubleshooting of high-reliability electronic and optical communication products used in advanced subsea optical transmission systems and network infrastructure. You will be responsible for technical support on manufacturing lines, resolving critical production issues, analysing test data, improving test processes and quality, and supporting continuous improvement activities. You’ll join a team that delivers complex opto-electronic assemblies vital to global communications infrastructure. Key Responsibilities • Provide hands-on technical support for manufacturing, test systems and product fault resolution., • Troubleshoot and debug electronic and opto-electronic assemblies with a focus on quality and throughput., • Analyse production and test data; identify trends and support corrective action plans., • Support new product introductions and test strategy development., • Design or improve test stations, interfaces, and test procedures., • Work with cross-functional teams (R&D/Engineering/Operations) to implement process improvements., • Train production operators on technical diagnostics and best practices. Essential Qualifications & Experience • Degree in Electrical/Electronic Engineering, Opto-electronics, or equivalent., • Strong understanding of electronics, opto-electronic components and circuit behaviour., • Experience with fault finding, schematic interpretation and test instrumentation (e.g., oscilloscopes, multimeters)., • Experience in high-reliability manufacturing, fault analysis and lean manufacturing contexts., • Excellent communication and teamwork skills., • Ability to work independently and make timely decisions under pressure. Desirable Skills • Experience with optical measurement, fibre inspection/optical power metering and understanding of optical transmission principles., • Background using data analysis to drive manufacturing quality improvements., • Familiarity with automated test systems and data logging tools. Working Pattern 2-Week Rotation: Days & Nights Day Shift: Mon–Thu (Early start approx. 06:00) Night Shift: Mon–Thu (Evening start approx. 18:00) Night shifts attract a 10% uplift between 22:00 – 06:00. Benefits • Competitive contract rates with potential for long-term opportunity., • Dynamic, collaborative engineering environment., • Opportunity to support mission-critical infrastructure through cutting-edge optical communication products.

Start Your Career as a Trainee Field Service Engineer with Hotpoint Are you ready to launch a hands-on career with one of the UK's most trusted appliance brands? Hotpoint is offering an exciting opportunity to train and qualify as a Trainee Field Service Engineer. About the Role As a Trainee F

Heat Pump Service Engineer (Stepping up to Commisioning Engineer) London M25 Patch £50,000 - £55,000 + Progression + Training + Company Benefits + Local Patch Are you from a Heat Pumps, HVAC or MVHR background that wants to join a company that will train you and progress you into a Co

Agile Release Train (ART) activities aligned with.

Solutions Architect / Solutions Engineer Location: Hybrid - London . Department: Sales About Tightly Tightly is about empowering omnichannel brands to master their inventory—and their cash flow. We are the Inventory Planning & Purchasing Intelligence Platform built for the complexity of modern commerce. With a culture that is all-in on impact, innovation, and customer obsession, Tightly is the sweet spot for building big, moving fast, and taking supply chain technology—and your career—to the next level. About the Job We are looking for a Solutions Engineer who combines technical aptitude with exceptional people skills. In this role, you will be the technical engine behind our sales process. You don't need to come in as a retail expert—we will teach you the intricacies of the supply chain. What we need from you is the technical intuition to navigate data challenges and the confidence to guide customers through critical Pilots and Proofs of Concept (PoCs). Tightly sits as the intelligence layer on top of a merchant's ERP and sales channels. Your job is to ensure that the data translation is flawless. You will work with prospective customers to validate their inputs, using your technical toolkit (SQL, Python, AI) to troubleshoot anomalies and ensure that the purchasing plans Tightly generates are based on accurate, clean signals. IN THIS ROLE YOU WILL GET TO: • Lead Technical Pilots & PoCs: Own the most critical phase of the sales cycle. You will guide the prospect through the data ingestion process, ensuring the Tightly platform accurately models their business logic before the deal is closed., • Bridge the Data Gap: While our platform handles the heavy lifting, you will use your technical skills (SQL, Python) to troubleshoot edge cases. If a customer's data format doesn't match the system of record, you find the fix to unblock the deal., • Be a "Force Multiplier" with AI: We believe in efficiency. You will use modern tools like Claude and Gemini to write quick scripts, debug data errors, or analyze file structures, allowing you to move faster than a traditional engineer., • Build Confidence in the Plan: You will be the face of technical reliability. You will explain to stakeholders how Tightly interprets their historical data to create a reliable forecast, giving them the confidence to trust our recommendations., • Master the Domain: We will teach you retail. You will learn how global brands decide what to buy, how they manage capital efficiency, and how to model purchasing constraints. ON DAY ONE WE WILL EXPECT YOU TO HAVE: • Technical Fluency (SQL & Python): You aren't building the product, but you know how to interrogate data. If a customer's export is messy, you can write a quick script or query to diagnose the issue and fix it rather than waiting for Engineering., • Problem-Solving Agility: You love solving puzzles. When a Pilot data set looks "off," you have the curiosity to dig in, find the discrepancy, and resolve it using the tools at your disposal., • Pilot / PoC Management: You have run technical evaluations before. You know how to manage expectations, keep a timeline on track, and drive a technical win., • Customer-Facing Comfort: You are comfortable presenting on Zoom, managing a room, and translating technical data concepts into business value for non-technical humans., • AI Literacy: You are comfortable using LLMs to speed up your own workflows, whether that's formatting data or drafting technical responses. WHAT WE WILL TEACH YOU: • The Science of Inventory Planning: We don't expect you to know "Open-to-Buy" formulas or supply chain constraints on Day 1. We will train you on the business logic of how modern retailers spend their money. ABOUT OUR TEAM: Our Solution Engineers are customer obsessed. We believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback, and are passionate about making our clients successful. Our team works to ensure that the intelligence we provide is accessible, usable, and mathematically sound. Every Tightly employee is expected to follow the company’s confidentiality and security standards for handling sensitive merchant data. Tightly is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Tightly.

Junior–Mid Software Engineer Shoreditch | Well-funded startup This one’s for the engineers who know they’re capable of more than their current role is letting them show. We’re working with a small, well-funded startup in Shoreditch who are building something genuinely interesting and are now looking for a junior – mid level Software Engineer to join the team. You don’t need Ruby on Rails or Postgres experience coming in, they will train you. You do need strong fundamentals, curiosity, and the motivation to get better quickly. The setup • You’ll join the engineering team and sit between two highly technical co-founders / very experienced engineers, • You’ll write code every day and actually see the impact of what you build, • You’ll get real ownership early, with the support to grow into an exceptional engineer This will suit someone who: • Has 1–3 years’ experience in a commercial software environment, • Likely has a strong academic background (CompSci or similar), • Started out in a graduate or junior role at a larger company, • Has learnt solid engineering fundamentals but feels a bit… removed from the outcome, • Now wants pace, responsibility, and learning by doing, not just tickets in a backlog Why move? If you’re currently: • Writing plenty of code but not seeing the bigger picture, • One of many engineers with limited influence 📍 Office-based in Shoreditch 💡 Early-stage, well-funded, genuinely supportive team If this sounds like you (or close enough), drop us a message or apply via LinkedIn. We’re Motive Group – we work with startups and scale-ups and spend a lot of time helping engineers make smart moves, not rushed ones.

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.

Security Service Engineer – London We are seeking an experienced Security Service Engineer within London/M25 on behalf of one of our key clients, to join their service department. The successful candidate will be offered a fantastic progression path, being given opportunity to train on enterp

Autocalve Service Engineer– Make an Impact Every Day Are you ready to take your engineering skills on the road and make a real difference? We’re looking for a Field Service Engineer to join a dynamic team where your expertise and customer focus will shine. We are happy to cross train fr

AV Service Engineer (Smart Home / Commercial).Van + Tools + Travel Expenses + Overtime * London / UK Travel * Long-Term Progression.Are you an AV Service Engineer ready to step into an autonomous role in a rapidly expanding Commercial and Resedential AV Business offering fast salary increases, train

Job Title: Repairs Engineer\n\nRole Overview\n\nWould you like to join a truly international, talent driven company that values Safety, Ethics, Quality, Innovation and Employee Opportunity?\n\nOtis are growing and we're looking for a repairs engineer for London.Your priority is to ensure the safety of passengers and technical stakeholders by safely maintaining a portfolio of elevator and escalator units.\n\nOn a typical day you will:\nCarry out various repairs of mainly Otis equipment but other equipment as well.\nWork across the London area managing the portfolio of elevators within it\nRespond proactively and quickly to anything else found on the lifts being worked on.\nCarry out both minor and major repairs to achieve continual operation.\nLiaise directly with the customer while on site to build a good working relationship.\n\nWhat’s In it For Me:\n\nA highly competitive salary.\n\nExposure to a wide range of technical equipment.\nWork Monday -Friday (Apply online only) on site.\n\nWhat you will need to be successful:\nHold a NVQ 3 or equivalent within lift service, repair and or maintenance.\nHold a valid drivers license\nYou have at least 5 years of experience in the elevator sector.\nYou have good skills in electricity and electrical engineering\nYou are a committed professional, with safety as your priority\nYou are comfortable communicating to others\nYou are curious, adaptable, and you know how to work alone or in a team\nYou are comfortable using electronic and digital tools.\n\nWe will train you intensively in the areas of technology, processes & soft skills and you can exchange ideas with experienced colleagues at any time.\n\nYou will receive modern and high-quality work clothes, your own tools, an iPhone and a company car.\n\nThe health and safety of our employees is our top priority. We promote this through regular training on the subject of occupational health and safety as well as through an employee support program.\n\nApply today to join us and build what’s next

The successful candidate will be an experienced Fire Extinguisher Engineer (BAFE Certified) ideally with Fire Alarm experience, however full training will be given on Fire Alarm systems. This is superb opportunity for fire extinguisher engineer to train and upskill to become a fire alarm and emergen

Jnr AV Installation Engineer - My client are looking to the future and now wish to train and develop your AV skills to become fully fledged in the world of AV Integration. The client are looking for you to have 1-2 years experience of AV integration gained from the high end residential av integratio

Senior Configuration Engineer • Initial 3 months (likely to be 6 months +), • Remote with travel required 1 p/fortnight to Bristol / Basildon / Edinburgh / Luton / Southampton, • £40ph PAYE (Equivalent Umbrella £53ph - £55ph) We are a leading defence and aerospace company delivering advanced technologies and mission-critical systems worldwide. Join us to work on innovative, high-impact projects in a collaborative and engineering-driven environment. What we are looking for: • Administration skills: Strong Administration Skills with an attention to detail - you are required to have a logical mind-set, • Configuration Management: A good understanding of Configuration Management in accordance with DEF STAN 05-57 and JSP945, EAI649C, • PLM Experience: Understanding of PLM principles and best practice. Experience of Teamcenter Unified preferred., • Training/ User guides: Experience of developing user guides and delivering user training on a PLM system, ideally Teamcenter Unified. What you'll do- • Develop and maintain Configuration and Data Management (CDM) and Product Lifecycle Management (PLM) governance frameworks policies, and procedures specific to engineering product development and project delivery data. Ensuring compliance with relevant regulations and standards (e.g., ISO, AS, MoD JSPs where applicable)., • Develop and deliver guidance to consolidate and strengthen the position of an integrated digital engineering environment and PLM adoption., • Provide functional input into technical topics in order to resolve technical, project and programme conflicts around CDM and PLM requirements and processes., • Create and maintain documentation for configurations, customizations, and processes., • Develop training material, such as work-instructions, guides and presentation pack/videos to demonstrate PLM capabilities, • Train end-users and support engineers in PLM (Teamcenter Unified) functionality development and best practices.

Do you have 4+ years of hands-on ML experience and enjoy deploying models into production? Have you worked with GenAI / LLMs and modern ML tooling in real systems? Are you interested in crypto, blockchain, and applying ML to complex on-chain data? A Series B, high-growth SaaS platform delivering institutional-grade blockchain intelligence is hiring a Senior AI/ML Engineer. Often described as the Bloomberg for crypto, the platform helps investors discover opportunities, perform due diligence, and defend portfolios using AI-driven insights. This is a senior, hands-on role for someone strong across data science, applied ML, and cloud deployment, who wants to work in a lean team with real ownership. Why join? You’ll join a small, senior AI/ML team working on core product features such as: • Large-scale wallet labelling and behavioural analysis, • NFT price estimation using ML, • Trading and risk signals built on blockchain data The environment is fast-moving, product-led, and AI-first, with genuine room to shape how ML is applied across the platform. Requirements • 4-7+ years of professional experience in Data Science / ML roles, • Strong data science foundations (EDA, feature engineering, model evaluation, validation), • Hands-on experience with ML models in production, • Cloud & MLOps exposure (GCP preferred; AWS/Azure acceptable), • Experience with GenAI / LLMs (commercial or serious hands-on experimentation), • Strong Python and modern ML tooling (e.g. scikit-learn, XGBoost, TensorFlow or PyTorch), • Clear interest in crypto / blockchain (commercial experience a plus, curiosity required) Responsibilities • Build, train, and improve ML models on large-scale blockchain datasets, • Take models from exploration to production, working closely with engineering, • Apply GenAI / LLM approaches where they add real product value, • Maintain high DS/ML standards across experimentation, monitoring, and iteration, • Contribute to best practices in a lean, senior AI team Key details • Salary: up to ~£135k base + equity (4-year vest, 1-year cliff) + bonus, • Location: Fully remote (UK), • Stack: Python, GCP, ML frameworks, LLM APIs, • Visa: Cannot sponsor, • Team: Senior, small, highly technical If you’re a senior ML engineer with strong DS fundamentals, real deployment experience, and a genuine interest in crypto, this is a high-impact role with a lot of ownership. Interested? Please apply below.

Site Engineer Power & Distribution Transformers This is an excellent opportunity for an experienced Site Engineer with transformer expertise to join a well-established, family-owned engineering business. Our client are a leading manufacturer and supplier of electrical power distribution equipment, helping customers reduce energy waste, cut carbon emissions, and lower operating costs. The Role The Site Engineer will focus primarily on the installation, fitting, wiring, and testing of new distribution and power transformers, including packaged substations. The role also involves warranty investigation and rectification work, alongside routine maintenance activities. You will be predominantly site-based, with occasional in-house pre-fitting and assembly work. Travel to customer sites across the UK and Europe will be required. Key Responsibilities • Installation, assembly, wiring and testing of distribution and power transformers and associated packages, • Preparation of work by reviewing assembly instructions, drawings, specifications, images and parts lists, • Assembly of components, ensuring correct fit and secure fastening of parts and subassemblies, • On-site build, commissioning and testing of equipment at third-party locations, • Ensuring all equipment meets the highest quality and safety standards, • Acting as a professional, customer-facing ambassador on site, delivering excellent service under pressure, • Working safely at all times, using initiative in a fast-changing environment, • Reading and interpreting mechanical and schematic drawings, • Using workshop machinery and hand tools relevant to the role, • Collaborating with colleagues to resolve site-based challenges Skills, Knowledge & Experience Essential: • Proven experience installing and fitting distribution and power transformers and associated packages on site is highly beneficial, • Hands-on experience in a mechanical and/or electrical engineering environment, • Ability to read and interpret mechanical and schematic drawings, • Apprentice-trained or qualified in Mechanical or Electrical Engineering, • Full UK driving licence, • Strong troubleshooting skills and excellent attention to detail, • Full transformer testing experience, • Experience working in a continuous improvement environment, • Ability to train and support colleagues to enhance team capability, • Up-to-date Overhead Crane / Slinging & Lifting certification, • FLT licence, • IPAF certification Salary & Benefits • Salary negotiable, dependent on experience, • 25 days annual leave plus 8 bank holidays, • Company profit share scheme (paid quarterly), • Two paid breaks per day, • Death in service benefit (3x salary), • Healthcare cash plan, • Employee Assistance Programme, • Salary sacrifice EV scheme with on-site electric vehicle charging, • 4 weeks’ full pay paternity/maternity leave, • Pension scheme

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI! What we offer: • A collaborative and innovative work environment, • Career growth opportunities towards Technical Lead and beyond, • Exposure to cutting-edge AI-first engineering practices, • 34 days holiday plus your birthday off, • Share options, • Remote and flexible working, • Life insurance, • Income protection, • Private health care, • Eyecare, • On-going career development and training, • Freebies and discounts, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counseling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused. If you want to build high-impact technology at the frontier of applied AI and help bring new products and intelligent agents to market, you’ll thrive here.

SUMMARY: We're looking for self-motivated individuals to join our dedicated team of Service Engineers in the UK to provide the highest level of client service! The Field Service Engineer will be responsible for visiting customer sites to install, troubleshoot and maintain Cytek instruments and equipment. ESSENTIAL DUTIES AND RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform essential duties and responsibilities satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Core responsibilities for this position include: • Installation, troubleshooting, maintenance, upgrading and repair of flow cytometers and Cytek products with proficiency in a timely manner., • Professionally managing technical needs of customers while delivering service excellence., • Maintaining a regular return visit frequency, keeping complete and accurate written and oral records of practical examinations., • Identifying customer needs and contributing to improvements in Cytek products., • Managing the daily schedule to ensure appropriate priority is placed upon urgent customer needs, while setting customer expectations for issues of less urgency., • Connecting with customers in a timely manner during business hours. Professionally communicating technical information to them via telephone technical support, service visit scheduling, product problem information gathering, fault isolation, corrective action, and site visit closure with high quality and efficiency., • Completing all business related transactions to include Field Service Reports, Instrument Qualification Reports, Parts Return Tags, etc. in a timely manner (usually within 48 hours) with high accuracy., • Managing personal service spare parts inventory to ensure accuracy on a regular basis., • Demonstrating the ability to quickly learn new technologies and develop skills in troubleshooting intra-connected complex systems., • Other duties as assigned REQUIREMENTS & QUALIFICATIONS: The requirements listed below are representative of the knowledge, skill, and/or ability required: • Bachelor's degree in Engineering, Life Sciences, and/or other technical degree, military training or experience, • 2-years experience troubleshooting and repairing Life Science equipment and/or integrated systems (software, optics, fluidics, electronics, etc.), • Work experience with the repair or service of electrical or mechanical equipment is highly preferred., • Previous experience in Flow Cytometry Repair is a plus, but not required, • Have a basic understanding of biology as it relates to flow cytometry, • Professional level English is a must – other European languages preferred., • Proficiency in Microsoft Office Suite. PHYSICAL DEMANDS AND WORK ENVIRONMENT: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • This is a full-time position, with evening and weekend work required as job duties demand, • This job entails a high volume of traveling – up to 75% of the time. Individual should be able to travel on commercial airlines, train, rental/leased car to fulfill job duties, • Individual should be able to lift 12-15kgs with ease, and be able to work in a standing position for 4 hours at a time. WHO WE ARE: At Cytek Biosciences, we are “Reimagining Cell Analysis to Fuel Scientific Discovery.” Our teams are on a mission to advance cancer and cell biology research using a powerful cell analysis technique called full spectrum flow cytometry. We are committed to providing powerful solutions that enable scientists to obtain deep biological insights rapidly and efficiently through high quality, high parametric datasets. Inclusion and diversity are core values at Cytek, and we place a high value on the unique perspectives and ideas that they foster. The Cytek team represents many diverse cultures, backgrounds and viewpoints. We seek to maintain high ethical standards and a culture that values honesty, integrity, and transparency in all that we do. We are committed to our employees and to the communities we serve worldwide. Cytek solutions are used in many of the world’s most renowned pharmaceutical, academic and research institutions. We are a growing company that is always looking for energetic, educated professionals. Expand your possibilities professionally and personally, and join our team as we satisfy long unmet needs in fields of research and medical discovery! All the information collected is needed to consider your application for a job at Cytek Biosciences. If you want to know more about how we will process your information as part of our recruitment process check our ___. Please note that our Applicant Privacy Policy is not supported for viewing on mobile devices. For optimal access, we recommend using a desktop device. Alternatively, you can contact us directly to request a copy of the Applicant Privacy Policy before proceeding with your application.

We provide excellent training and development to our Engineers and will continuously provide excellent ongoing support The Benefits - OTE of approx 32- 35k first year (average) £35 - £38k second year average. Basic salary of £25k plus monthly bonus BAFE training provided Vehicle and fuel card - D

We are recruiting for a Section Engineer to strengthen our Highways Division. Train, manage and mentor Junior Engineers. Manage sectional setting out requirements on site.

As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You’ll work at the intersection of cutting‑edge research and production engineering, implementing, scaling, an