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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What" you'll "do: " You'll "be the technical lead for a critical ML domain (e.g.," live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams." • Lead the"end-to-end"development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.", • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment.", • Integrate"model"driven"insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and" appropriate use "of data.", • Define advanced experimental designs, lead A/B testing, develop and" maintain "metrics and dashboards," establish "robust" MLOps "practices, and own"end-to-end" productionisation "from data ingestion through deployment and ongoing model monitoring.", • Design, architect, and" operate "low"latency," highly reliable " cloud"based "AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and" an optimal "balance between cost, latency, and"production"scale"performance." " What you'll bring • Proven extensive"lead"level"engineering experience delivering data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata).", • Advanced Python" expertise "with strong"hands-on"use of ML/DL frameworks (e.g.," PyTorch , TensorFlow), including taking models from experimentation into production model serving.", • End-to-end" MLOps "experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and"infrastructure"as"code"practices.", • Proven technical leadership experience including mentoring and guiding Senior and"Mid-Level"Data Scientists both in their"day-to-day"work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty," pivoting "as necessary." Nice to have, • U nderstanding of sports data, including"hands-on"experience working with event data, tracking data, or other"high-volume"sports datasets, and converting these into actionable analytical or predictive insights., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #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.

Computer Science/ICT Teacher- Secondary School East London Start Date September 2026 5 days a week / MPS / UPS Horizon Teachers is actively seeking a Computer Science Teacher for a secondary school within East London. The ideal candidate will be teaching GCSE and A-Level. You should have a proven track record of improving student progress, managing extracurricular duties About the school We are a mixe... ZIPC1_UKTJ

Fixed Term Contract - 12 months The Firm Established in 2020, KP Law (previously Keller Postman) is a specialist litigation boutique, focussing on collective redress. The firm has over 100 employees across offices in London, Manchester, Birmingham, and Liverpool, representing over 250,000 individual clients across a range of cases in areas such as product liability, competition, worker rights, data breach and privacy and financial services. Our ethos is to combine the best legal talent with a strong operational and technological platform to enable its clients to pursue cases that could not otherwise be brought against large corporates as a result of their wrongdoing. Uniquely, KP Law is owned and fully financed by a recognised UK litigation funder (Legatus Holdings), this allows us to take on larger, headline making cases with greater efficiency and confidence. All of our cases are for claimants and carried out under contingent fee agreements at no cost or risk to its clients. KP Law was ranked Tier 1 for Group Litigation: Claimant in The Legal 500 UK Guide 2026, and Band 2 for Group Litigation: Claimant in Chambers and Parters 2026. Role Summary Working closely with business, the role will be responsible for understanding and prioritising requirements to support business process change, platform development and implementation of new technology solutions. Understanding business process problems and inefficiencies and providing suggested solutions to assist in delivering new operational and legal processes and process changes. Working with the Development team and business stakeholders to create specifications for new system features, workflows and automations and to document required changes to existing systems. Managing the delivery of new features and changes through robust management of the Software Development Life Cycle (SDLC) and liaising with end users, software vendors and development resources to achieve these outcomes. Key Duties & Responsibilities • Identifying and documenting business requirements to assess the viability of process and systems changes, • Creating user stories and working with the platform project manager and development team to refine these requirements and prepare them for development, • Creating new features and change specifications Working with internal and external Developers and Architects to define practical development requirements Liaising with external and internal stakeholders, • Mapping and documenting integration interfaces between legacy and new systems, • Conducting requirements analysis and preparing specific proposals for modified or replacement systems, • Working closely with end users and 3rd parties to ensure technical compatibility and user satisfaction, • Creating and supervising system test plans and working with end users to facilitate user acceptance testing, • Overseeing the implementation of new systems and data migrations with service owners through the release process, • Supporting users on change control, release planning and system updates, • Contributing to training and user manuals, • Proven working experience in a Business Analyst role, • Ability to identify quick, workable solutions to business problems – focusing on timely delivery of value and not lengthy complex technical solutions Previous working experience of using Salesforce Products (ServiceCloud, Marketing Cloud), • Knowledge / experience in AI tools such as Salesforce Agentforce (desirable), • Degree, or equivalent work experience, in business administration or related fields such as computer science, business information systems or information technology., • Strong technical background with a thorough understanding of requirements management tools, eg Confluence, Jira, Monday.com, Clickup, Scribe, • Excellent knowledge MS Excel, Word and Powerpoint, Sharepoint, O365, • Outstanding analytical, innovation, critical thinking and problem-solving skills., • Ability to build effective, trusted relationships at all levels within the organisation and with external stakeholders., • Excellent communication and interpersonal skills with the ability to explain complex scenarios to non-technical people Highly self-motivated with the ability to meet tight deadlines in a fast-paced dynamic environment with consistently high levels of performance., • Ability to travel to all our offices when required, • Experience of working in the legal industry not essential but beneficial, • Previous experience of working with Salesforce not essential but beneficial Equal Opportunities Our approach to our people is underpinned by our commitment to equity, diversity, inclusion and well-being. Our ambition is to build a richly diverse workforce made up of the best talent in our industry. With a workplace that is supportive and inclusive, recognises and nurtures talent, and has a strong sense of community between colleagues. This means that everyone who either applies to or works for KP Law is treated equally, regardless of their gender, age, ethnic origin, nationality, marital status, disability, sexual orientation, or religious beliefs. Our Values At KP Law, we pride ourselves on being a values-led law firm. Our Values: Excellence in Everything We deliver high-quality work, ensuring accuracy, and attention to detail in everything we do. We seek continuing competence by embracing feedback, learning from our experiences and that of others, and developing our expertise. We hold ourselves and each other to account for upholding the highest professional standards, ensuring our clients receive exceptional service. Together We Achieve More We collaborate openly, valuing and respecting diverse perspectives to achieve the best results. We support and trust one another, fostering an inclusive environment where everyone can contribute and thrive. We recognise that success is a team effort, sharing knowledge and celebrating each other’s achievements. There’s Always a Way We approach challenges with a positive and proactive mindset, exploring creative and practical solutions. We take ownership of problems, staying committed and resilient until we achieve the best outcome. We embrace change and adaptability, seeing obstacles as opportunities to improve and innovate. Our Benefits We offer a competitive benefits package, that employees value, no matter what stage of their career they are in. Current benefits include: • Annual discretionary bonus scheme, • 25 days holiday, plus bank holidays, • Company contributory pension scheme, • Hybrid working, • Life assurance, • Cash-back healthcare scheme, • Enhanced family friendly polices, • Employee Assistance Programme, • Subsidised gym membership, • Cycle to Work scheme, • Staff referral scheme

Head of Computer Science – Chigwell – £35,000 to £50,000 – September Start – Permanent Head of Computer Science – PermanentHead of Computer Science – KS3 to KS5 Teaching & Leadership Are you an experienced Computer Science Teacher ready to step into a Head of Department role within an OUTSTANDING secondary school?Can you lead and develop a high-quality Computer Science curriculum across Key Stages 3 to 5, inspiring students to develop strong programming and problem-solving skills?Are you seeking a permanent leadership position where you can shape teaching and learning while driving academic outcomes and digital literacy across the school? If so, this could be the perfect opportunity for you. Head of Computer Science – The RoleA secondary school in Chigwell is seeking to appoint a dedicated and knowledgeable Head of Computer Science to lead their department from September on a permanent basis. The successful candidate will teach Computer Science across KS3, KS4 and KS5 while providing strategic leadership for the subject. You will be responsible for curriculum planning, assessment, tracking progress, and ensuring high-quality teaching across the department. The role also includes mentoring staff, developing schemes of work, and driving improvements in programming, algorithms, data representation, computer systems and computational thinking. This position would suit an experienced teacher looking to take the next step into leadership within a supportive and collaborative environment. Head of Computer Science – The SchoolThis is a mixed secondary school with sixth form, educating students aged 11–18 in Chigwell. The school is committed to high academic standards, strong pastoral care and providing a well-rounded education that prepares students for future pathways. With a supportive senior leadership team and a collaborative culture, the school offers a positive and structured working environment where staff are encouraged to develop professionally and contribute to whole-school improvement. If you believe this Head of Computer Science role is right for you, APPLY now, or contact Tommy Clark at TLTP for further information.

Apply for this Computer Science Teacher + TLR opportunity by sending your CV to Charlie at EdEx. Computer Science Teacher + TLR - Great Behaviour - Barking and Dagenham Secondary School. This school is eager to find a Computer Science Teacher + TLR who is going to come into the classroom and continu

Computer Science/ICT Teacher- Secondary School East London Start Date – September 2026 5 days a week / MPS / UPS Horizon Teachers is actively seeking a Computer Science Teacher for a secondary school within East London. The ideal candidate will be teaching GCSE and A-Level. You should have a proven track record of improving student progress, managing extracurricular duties About the school We are a mixed secondary school aged 11-16 who pride ourselves on our strong sense of community and the excellent behaviour of the students. We are an all through school that supports diversity and personal development. The Role Teaching Computer science to KS4 Teach mixed ability to students across different sets.Why Horizon Teachers? We are currently having our busiest year & placing more staff than ever before We can help you find permanent, long-term, and flexible roles in the Education sector Easy registration process via online link and a video consultation Operam Education Group includes Provide Education | Teachers UK | Provision Recruitment | The Education Specialists | First for Education | Horizon Teachers | Key Stage Teacher Supply We're proud to be an inclusive employer, welcoming applicants from all backgrounds and committed to creating accessible opportunities across education. As part of our registration process, you'll need an enhanced DBS check and we'll need to see an...

This role would suit both an experienced Computer Science Teacher and an Early Career Computer Science Teacher looking to develop their skills in a supportive environment. Apply now to become our next Computer Science Teacher and make a lasting impact. Computer Science Teacher - Redbridge.

This is an excellent opportunity for a COMPUTER SCIENCE Teacher, suitable for a COMPUTER SCIENCE Teacher or a confident COMPUTER SCIENCE Teacher looking for a new role. The school is seeking a committed COMPUTER SCIENCE Teacher who can deliver engaging COMPUTER SCIENCE lessons and make an immediate

Head of Computer Science – Chigwell (GBP 35,000 to 50,000, September Start, Permanent). Head of Computer Science – The Role. A secondary school in Chigwell is seeking to appoint a dedicated and knowledgeable Head of Computer Science to lead their department from September on a permanent basis.

This school is eager to find a Computer Science Teacher + TLR who is going to come into the classroom and continuously motivate, inspire and promote a positive learning environment. Computer Science Teacher + TLR. Computer Science Teacher + TLR, School Spec.

Head of Computer Science - Chigwell - £35,000 to £50,000 - September Start - Permanent. Are you an experienced Computer Science Teacher ready to step into a Head of Department role within an OUTSTANDING secondary school?. Can you lead and develop a high-quality Computer Science curriculum across K

This role would suit both an experienced Computer Science Teacher and an Early Career Computer Science Teacher looking to develop their skills in a supportive environment. Computer Science Teacher - Redbridge. We are seeking a dedicated and enthusiastic Computer Science Teacher to join our successfu

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote tea

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote tea

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.Whether you’re a private tutor or prefer online sessions, we provide the platform to connect with students across the UK.No previous tutoring experience required.Flexible hours and remote tea

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

FindTutors is looking for passionate Computer science tutors to join our growing online teaching community.

Senior Software Engineer Salary: Negotiable (Depending on Experience) Location: North London Area Schedule: 3-days on site and 2-days WFH per week The Opportunity We are supporting a globally recognised engineering business at the forefront of advanced radar and surveillance technology in the search for a Senior Software Engineer. This is an excellent opportunity to play a key role in the development of innovative, high-performance software solutions used within cutting-edge maritime navigation and defence systems. You will take ownership of software design across the full lifecycle, contributing to both new product development and the continuous improvement of existing systems. The Role As a Senior Software Engineer, you will be responsible for delivering robust, high-quality software from initial concept through to verification and release. You will also act as a technical mentor within the team, supporting the development of junior engineers and contributing to a collaborative engineering environment. Key responsibilities include: Designing, developing, and delivering software solutions in line with project requirements Taking ownership of the full software development lifecycle, from specification through to testing and maintenance Supporting and enhancing existing software to meet evolving commercial and technical needs Collaborating with internal teams as well as external customers, suppliers, and partners Providing technical guidance and mentoring to junior engineers Contributing to continuous improvement and innovation across software development practices Experience & Skills Strong experience in C++ software development Proven experience delivering projects across the full software development lifecycle Solid understanding of development environments such as Microsoft Visual Studio (2022/2026) Experience with GUI/UX or Human-Computer Interaction (HCI) Knowledge of scripting languages such as Python or PowerShell Degree in Software Engineering, Computer Science, or a related discipline Excellent communication skills, both written and verbal Why Apply? This is a fantastic opportunity to: Work on genuinely advanced, real-world technology Join a well-established and growing engineering business with an excellent reputation Play a key role in shaping innovative software solutions Gain exposure across the full product lifecycle, from R&D through to delivery Access long-term career progression within a highly technical environment If this opportunity sounds of interest, please apply today or contact me directly for a confidential discussion. All applications will be handled with complete discretion

Senior Technology Engineer (Innovation & Drones) Location: Stratford, London (Hybrid – minimum 2 days per week onsite) Duration: 6 months (Strong potential to convert to permanent) Rate: £450 - £470 per day (Inside IR35) Clearance: BPSS Application Deadline: URGENT – Thursday 21st May at 17:00 About the Role Are you a tech-forward engineer passionate about automation, drone technology, and AI? We are seeking a Senior Technology Engineer to join a high-profile innovation team dedicated to modernising high-speed rail infrastructure (HS1). This is a transformational, hands-on contract role where you will drive the innovation agenda, directly reducing manual maintenance by introducing bleeding-edge automation and remote condition monitoring technologies. Key Project Focus Areas Drone Technology: Leading the deployment of drones for inspecting hard-to-reach assets (ventilation shafts, steep embankments) and environmental monitoring (vegetation management). Vision & Camera Tech: Deploying advanced train-borne cameras and utilising cutting-edge tools (such as One Big Circle / AiVR / Transmission Dynamics) for automated track and overhead line (OLE) inspections. Data & Machine Learning: Monitoring infrastructure behaviour through software powered by machine learning algorithms to drive predictive, data-led maintenance decisions. Day-to-Day Responsibilities Lead technology and innovation projects seamlessly from concept through to live deployment. Act as the technical authority and Subject Matter Expert (SME) across assigned drone and vision AI projects. Engage closely with maintenance teams, asset managers, and senior stakeholders to ensure buy-in. Oversee engineering assurance, safety, and compliance for all newly introduced technologies. What We Are Looking For While a rail background is desirable, strong technical capability and innovation deployment experience are our top priorities. Essential Criteria: Proven experience introducing or deploying new technologies / digital transformation projects. Direct exposure to drones (UAVs) and/or remote condition monitoring solutions. A robust systems/software engineering mindset. Ability to operate autonomously and engage confidently with senior stakeholders in a regulated engineering environment. Desirable Criteria: Rail industry experience (Engineering or Asset Management). Familiarity with One Big Circle, AiVR, Transmission Dynamics, or similar automated inspection platforms. A Degree in Engineering, Computer Science, or Technology (Chartered Engineer status is a plus). Note: A PTS (Personal Track Safety) qualification is NOT required for this role. Why Apply? This role offers immense visibility and the chance to work with genuine cutting-edge technology (AI, automation, drones) on critical national infrastructure. It also offers a highly realistic pathway into a permanent position for the right candidate. How to Apply (Strict Deadline) This is an urgent requirement with a single-stage MS Teams interview process. Due to immense interest, the application window closes strictly on Thursday 21st May at 17:00. Please submit your CV immediately for consideration

Computer Science Teacher - Redbridge - Mixed Secondary School - September 2026 Computer Science Teacher - Redbridge Computer Science Teacher - QTS or QTLS trained Computer Science Teacher - MPS1 - UPS3 Computer Science Teacher - Full-time, permanent Are you a computer science teacher looking for a new role? Do have belief in the ability of all students to succeed and reach their full potential? Can you teach Computing & IT lessons across KS3 and KS4? If so, read on! About the role - Computer Science Teacher I am currently working with this mainstream secondary school in Redbridge who are looking for a Computer Science Teacher to start with them in September. The school are looking for a qualified computer science teacher to join them full time, where they will be delivering Computing and IT lessons across KS3 & KS4. The ideal candidate will have the ability to deliver inspiring lessons, be part of creating an exceptional place of learning and help build on current standards whilst also contributing to extra-curriculum activities such as afterschool clubs in the IT suite. This post would be suitable for a teacher looking to complete their ECT induction. About the school - Computer Science Teacher This multi-ethnic mixed comprehensive school based in Redbridge cater to students aged 11 to 18 with a large and expanding Sixth Form. The school supports a total of 1800 students on roll with a large emphasis on achievement for all, while supporting students with a wide range of abilities. The school was most recently graded Good by Ofsted in October 2019. The headteacher is passionate about the development of positive relationships between students and staff, offering a wide range of curricular and extra-curricular activities for all. The school staff firmly believe in developing the all-round potential of all pupils across key stages three, four and five. If you are interested in this Computer Science Teacher role, click apply now or contact Tom at Qualiteach for more information

Job Title: Computer Science Teacher Location: Newham Start Date: Immediate Start Salary: £150 - £270 per day Are you invested in the development of students aged between 11 and 16? Do you adopt a ‘can-do’ attitude? Are you adaptable and flexible? TeacherActive are proud to be recruiting for experienced, qualified Computer Science teachers to work on a temporary, day-to-day, long-term or permanent basis. We have partnered with many secondary schools across London, meaning our need for good-quality staff is at an all-time high. Our long-standing relationships with schools mean that we can find you the position that's right for you, giving you guidance and advice along the way. Our dedicated consultants have an ideal mix of skills and knowledge, coming from a background of both hands-on classroom experience and extensive recruitment experience. Many of our roles for qualified teachers have immediate start dates, with no need to wait until the new academic year to gain further experience. The successful qualified Computer Science Teacher will have: QTS with Computer Science specialism (ECT’s are welcome to apply) Experience teaching Computer Science up to Key Stage 4 / KS4 Excellent classroom management Strong communication skills In return for the above, you can expect to receive: A dedicated team of consultants available 24/7 Flexibility to choose when you work Guaranteed Payment Scheme CPD courses and certificates as part of our ‘My-Progression’ brand Market-leading rates of pay Referral scheme – Receive up to £100 when you refer a friend Our staff are paid on a PAYE basis, so you can rest assured that you’re paying the right level of TAX and National Insurance and there’s no messing around with admin charges coming out of your hard-earned cash. If you are interested in this position, then click ‘APPLY NOW’, and I will be in touch regarding this fantastic opportunity. EMAIL: CONTACT NUMBER: (phone number removed) About TeacherActive TeacherActive is one of the UK’s leading education recruitment agencies, with over 20 years of experience supporting schools and placing teachers and support staff into rewarding roles. We pride ourselves on providing an excellent service to both our schools and candidates. Equal Opportunities Statement TeacherActive is an equal opportunities employer, and operates as an Employment Business in providing temporary or contract job seeking services. Safeguarding and DBS Compliance Registration involves an enhanced DBS check, ID checks and will require you to supply good professional references. We pride ourselves on excellent service. We can provide a wide range of opportunities in schools and other educational institutions, with good rates of pay, at times to suit your needs. Regular external audits have shown repeatedly that our standards are exceptional. We are passionate about finding the right staff for each environment

Computer Science Teacher - MPS1-UPS3 Computer Science Teacher - Redbridge Computer Science Teacher - Mixed Mainstream School Computer Science Teacher - KS3-KS5 A Good Secondary School based in Redbridge is looking for an enthusiastic and passionate Computer Science Teacher to start ASAP. The School • Computer Science Teacher This Community school located in the borough of Redbridge, are looking to recruit an Computer Science Teacher to join their team ASAP. The school has the highest expectations and ambitions for every student. Through a large investment, the school has recently completed their rebuild and the facilities are fantastic. This larger than average school are very supportive of their staff and are always trying to better their expertise. Having been graded Good in their last Ofsted, it was stated that "Leaders make sure that staff benefit from quality training to help them to contribute towards the school's priorities. From their monitoring, leaders identify the personal training and development needs of members of staff, which they then fulfil." The school has great public transport links nearby with a railway station and tube station both only a 10 minute walk from the school. Computer Science TEACHER: Applications are invited from well-qualified, committed and enthusiastic teachers to join our highly successful Computing department. The department prides itself on delivering a Computing curriculum which provides opportunities for learners of all abilities to access Computer Science in a fun and engaging way. As a flexible practitioner, you will teach across a wide ability range while maintaining high expectations for all learners. Knowledge of Computer Science and programming is essential, as well as a desire to help every child fulfil their potential. The department is dynamic, supportive and successful with a long history of excellent results at KS4 & 5, where we currently teach GCSE Computer Science, Level 1/Level 2 BTEC in Digital Information Technology, A level Computer Science and Level 3 AAQ BTEC National ICT. We also have an exciting programme of study at KS3, with an emphasis on how computers work, data handling, HTML and programming in particular. The school is an extremely popular and successful 11-18 school situated in Redbridge, with the benefit of being situated in beautiful campus-style surroundings with excellent facilities and a warm community atmosphere. We have a commitment to providing the best opportunities to all students and to developing the professional skills and career opportunities of our staff within a supportive and collaborative environment. The role is to start ASAP and will be for the remainder of the academic year. To be considered for this Science Teacher role you must have: Qualified Teacher Status (QTS) PGCE in Computer Science Experience teaching Computer Science KS3, KS4 and KS5 The desire to join a very successful department and schoolApply today to be considered for this role! TimePlan Education Group LTD are committed to safeguarding and promoting the welfare and safety of children and young people and expect all staff to show this commitment. The successful candidate will be required to complete Disclosure and Barring Service declarations in line with Section 115 of the Police Act 1997. You will also be required to provide 2 professional references covering at least the last 2 years, and complete our online application followed by a video or face to face interview. TimePlan Education Group LTD are committed to Equal Opportunities Employer and therefore will not discriminate on the grounds of age, gender, race, ethnicity, disability or sexual orientation. Computer Science Teacher - MPS1-UPS3 Computer Science Teacher - Redbridge Computer Science Teacher - Mixed Mainstream School Computer Science Teacher - KS3-KS5 A Good Secondary School based in Redbridge is looking for an enthusiastic and passionate Computer Science Teacher to start ASAP. The School • Computer Science Teacher This Community school located in the borough of Redbridge, are looking to recruit an Computer Science Teacher to join their team ASAP. The school has the highest expectations and ambitions for every student. Through a large investment, the school has recently completed their rebuild and the facilities are fantastic. This larger than average school are very supportive of their staff and are always trying to better their expertise. Having been graded Good in their last Ofsted, it was stated that "Leaders make sure that staff benefit from quality training to help them to contribute towards the school's priorities. From their monitoring, leaders identify the personal training and development needs of members of staff, which they then fulfil." The school has great public transport links nearby with a railway station and tube station both only a 10 minute walk from the school. Computer Science TEACHER: Applications are invited from well-qualified, committed and enthusiastic teachers to join our highly successful Computing department. The department prides itself on delivering a Computing curriculum which provides opportunities for learners of all abilities to access Computer Science in a fun and engaging way. As a flexible practitioner, you will teach across a wide ability range while maintaining high expectations for all learners. Knowledge of Computer Science and programming is essential, as well as a desire to help every child fulfil their potential. The department is dynamic, supportive and successful with a long history of excellent results at KS4 & 5, where we currently teach GCSE Computer Science, Level 1/Level 2 BTEC in Digital Information Technology, A level Computer Science and Level 3 AAQ BTEC National ICT. We also have an exciting programme of study at KS3, with an emphasis on how computers work, data handling, HTML and programming in particular. The school is an extremely popular and successful 11-18 school situated in Redbridge, with the benefit of being situated in beautiful campus-style surroundings with excellent facilities and a warm community atmosphere. We have a commitment to providing the best opportunities to all students and to developing the professional skills and career opportunities of our staff within a supportive and collaborative environment. The role is to start ASAP and will be for the remainder of the academic year. To be considered for this Science Teacher role you must have: Qualified Teacher Status (QTS) PGCE in Computer Science Experience teaching Computer Science KS3, KS4 and KS5 The desire to join a very successful department and schoolApply today to be considered for this role! TimePlan Education Group LTD are committed to safeguarding and promoting the welfare and safety of children and young people and expect all staff to show this commitment. The successful candidate will be required to complete Disclosure and Barring Service declarations in line with Section 115 of the Police Act 1997. You will also be required to provide 2 professional references covering at least the last 2 years, and complete our online application followed by a video or face to face interview. TimePlan Education Group LTD are committed to Equal Opportunities Employer and therefore will not discriminate on the grounds of age, gender, race, ethnicity, disability or sexual orientation. INDSECTP

Role: Senior Technology Project Engineer Contract Length: 6 months (potential to convert to perm) Location: Stratford, London (Hybrid – min.2 days per week onsite) Pay Rate to Candidate: £450 - £470 per day (umbrella rate) IR35: Inside Role Overview: This is a 6-month contract (with strong potential to convert to a permanent role), reporting into the Head of Innovation - HS1 (Network Rail). Key Objectives • Drive automation of manual inspection and maintenance activities • Support delivery of efficiency and performance targets across the project • Translate emerging technologies into scalable operational solutions • Contribute to innovation-led transformation within asset management and maintenance Core Projects / Areas of Focus * Vision & Camera Technology; Deployment of cameras on passenger & engineering trains * Use of tools such as One Big Circle / AiVR for automated visual track inspections or Transmission Dynamics for OLE inspections. * Monitoring infrastructure behaviour (e.g. pantograph/OLE interaction, track) through various software with machine algorithms * Data & Analysis: Supporting data-led maintenance decisions * Drone Technology (Key Focus Area) * Inspection of hard-to-reach assets (e.g. ventilation shafts, steep embankments) * Environmental monitoring and reporting * Potential user cases such as vegetation management * Innovation Initiatives * Supporting a range of smaller R&D and digital transformation projects Day-to-Day Responsibilities • Lead and progress innovation projects from concept through to deployment • Act as technical authority/SME within assigned project areas • Engage with maintenance teams, asset managers, and stakeholders • Ensure engineering assurance, safety, and compliance of new technologies • Support business cases and benefits realisation • Attend and contribute to project/stakeholder meetings Candidate Profile (Key Requirements) Essential • Experience in introducing or deploying new technologies / innovation projects • Exposure to drones and/or remote condition monitoring solutions • Strong technical/technology mindset (software/systems understanding) • Ability to operate autonomously and engage senior stakeholders • Understanding of working in a regulated engineering environment Desirable • Rail industry experience (engineering / asset management) • Experience with One Big Circle / AiVR / transmission dynamics • Exposure to digital inspection, AI or automation technologies • Candidates do not need to have both rail and tech, however strong technical capability is the priority if we can’t find both. Qualifications • Degree in Engineering, Technology, Software or Computer Science (desirable) • Chartered Engineer status (or working towards) preferred

Project Engineer / Technology Engineer - HS1 Rail Infrastructure 6-Month Contract | Potential Permanent Opportunity Reporting to: Head of Innovation - Network Rail High Speed (HS1) Inside IR35 £450 to £470 per day (Umbrella rate). Hybrid - Location Stratford London. We are seeking a technically strong Project Engineer / Technology Engineer to support innovation projects across the HS1 asset base. The role will focus on automation, digital technologies, and improving maintenance efficiency, safety, and sustainability. Key Responsibilities Deliver innovation and technology projects across HS1 Support automation of inspection and maintenance activities Implement emerging technologies and digital solutions Drive operational efficiency and asset performance improvements Engage with engineering, operations, and external technology partners Essential Skills & Experience Experience delivering technology or innovation projects Exposure to drones and/or remote condition monitoring Strong technical mindset with software/systems understanding Ability to work autonomously and engage senior stakeholders Experience working in a regulated engineering environment Desirable Rail, infrastructure, or asset management experience Exposure to AI, automation, digital inspection, or smart technologies Knowledge of One Big Circle, AiVR, or Transmission Dynamics Qualifications Degree in Engineering, Technology, Software, or Computer Science (desirable) Chartered Engineer status, or working towards, preferred Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change

We are looking for a Senior Embedded Software Engineer to develop advanced, real-time software solutions for complex systems. You will be responsible for delivering software from initial concept through to fully verified solutions, working across the full development lifecycle. Key Responsibilities Design, develop, and maintain high-quality software using best engineering practices Take ownership of software development from requirements through to verification and validation Support and enhance existing software in line with evolving project and customer needs Contribute to system architecture, design reviews, and technical decision-making Collaborate with multidisciplinary teams including systems, hardware, and test engineers Provide technical guidance and mentorship to junior engineers Ensure software is developed in line with relevant standards and quality processes Key Skills Strong experience in C++ development (ideally modern C++) Proven experience working across the full software development lifecycle Experience with GUI UX or Human-Computer Interaction (HCI) Knowledge of Python, PowerShell, or other scripting languages Experience in real-time, embedded and safety-critical systems Familiarity with version control, CI and CD, and software testing frameworks Degree in Computer Science, Software Engineering, or a related discipline

Computer Science Teacher September 2026 Inner London MPS | £40,317£52,300 What the school can offer a Computer Science Teacher: Small class sizes and highly motivated pupils across KS3KS5 Significant investment in STEM enrichment and computing initiatives Access to modern classroom technology an

We are seeking a dedicated and enthusiastic Computer Science Teacher for an immediate start in a secondary school in West London, continuing through to the end of the current half term. Computer Science Teacher - Immediate Start (Until Half Term) West London.

A leading education recruitment agency is seeking a full-time Computer Science Teacher to start in April 2026. Candidates must hold Qualified Teacher Status (QTS) and have experience teaching ICT/Computer Science up to KS5.

Ribbons & Reeves is seeking a Trainee Computer Science Teacher for a secondary school in Lewisham, starting in September. Responsibilities include planning lessons and working with a mentor while contributing to the Computer Science curriculum.

The successful candidate will join the existing Computer Science teaching staff to deliver teaching of the highest standard, inspiring able and ambitious students to develop a genuine enthusiasm for the subject and achieve mastery at A Level. This post would suit an enthusiastic and knowledgeable Co

OASIS COMMUNITY LEARNING in the United Kingdom is seeking a passionate teacher for Computer Science and Business Studies.

The successful candidate will have the opportunity to contribute to the school's dynamic Computer Science department, inspiring the next generation of tech‑savvy individuals. Design and deliver engaging and rigorous Computer Science lessons aligned with the national curriculum and school's educati

Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on artificial intelligence design and development. Shum, who is a Professor of Visual Computing and the Director of Research for the Department of Computer Science at Durham University, spec

Tradewind are recruiting for a Computer Science teacher to work in the North London area. If you are a Computer Science teacher currently in search of work in the Barnet area, please send your most recent CV detailing relevant experience and qualifications.

This is a fantastic role for an established teacher or current middle leader looking to step into a Head of Computer Science position, or an experienced Head of Computer Science seeking a new challenge in a dynamic and well-supported school environment in Westminster. Head of Computer Science - Full

Centre visits/Zoom/telephone support to guide new and existing centres through the GCSE Computer Science qualification and support materials. Have 3+ years' experience of teaching and/or assessing Pearson Edexcel GCSE Computer Science in their title specialism and be an active practitioner in their

Academics is seeking a Head of Computer Science for a full-time, permanent role in Central London starting in September. This leadership opportunity is perfect for an established teacher looking to advance their career or for an experienced Head of Computer Science ready for a new challenge.