It cloud jobs in HornchurchCreate job alerts

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. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "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.

Please note this is a training programme with career placement and fees apply*\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n * HTML Essentials (*up to 6 weeks)\n * CSS Essentials (*up to weeks)\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\nStage 2 – Additional Online Training (*up to 12 weeks)\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n * Learn the Command Line (*1.5 weeks)\n * Learn Git & GitHub (*1.5 weeks)\n * Learn JavaScript (*1.5 weeks)\n * Learn Python 3 (*1.5 weeks)\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\nStep 3 - Building a Portfolio Website Project (1 week)\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n * AWS Certified Cloud Practitioner\n * Microsoft Certified: Azure Administrator Associate\nStep 4 – Entry Level Coding placement (£25K - £40k)\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n * Junior Developer\n * Website Support Developer\n * Junior Web Developer\n * Content Editor\n * Wordpress Developer\n * Junior Software Developer\n * Junior Front or Back End Development\n * Development Support\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\nOur money back Job Guarantee\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\nQualification for this programme?\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Cyber Security Trainee Placement Programme\n\nAre you looking to benefit from a new career in IT and Cybersecurity? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nWe help place graduates from this programme into top UK companies and organisations needing to employ entry-level IT and Cybersecurity staff that can hit the ground running with up-to-date skills gained from this programme.\nThe best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in IT. You will also have the reassurance of a job guarantee upon completion.\nWhether you are working full time, part time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps.\nJob Guarantee - How does it work?\nDue to the success of this programme and the skills shortage of entry-level IT staff, we can guarantee you will secure an entry level IT job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning.\nStudents are able to start the training with a deposit of around £190 and finance the remaining balance over 12 months interest free. This means many students finish the courses and find a placement within the term of the finance agreement.\nStep 1 - Accredited Online Training\nThe first step is completing a selection of professional, accredited and industry recognised courses from CompTIA which is the global leader in IT Technician, Networking and Cybersecurity training. The training is delivered via multimedia rich video tutorials, practice labs, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor and a support mentor to help you throughout your training.\nStep 2 - Practical Training\nYou will gain practical experience by using practice labs which enable you to practice and master what you have learned. Gaining practical hands-on experience gives you confidence to be proficient in your first IT role. This combination of theoretical and practical skills is what line managers need you to have to be effective and confident in your role.\nStep 3 - Official exams\nYou will then go on to sit the CompTIA A+ and the CompTIA Network+ exams to give you the official certifications which will be recognised not only in the UK, but worldwide. The CompTIA A+ is the most asked for certificate for entry-level IT roles\nand the certification most IT Managers start their own careers with. All PCs in a professional environment are networked to servers, cloud based or otherwise and the Network+ gives you a needed foundation level of knowledge in networking.\nStep 4 - IT Technician placement\nWe work with you to secure your first role as an IT Technician. Ideally you will need to gain two years’ experience in this role before you can progress into a cyber security role. While working as an IT Technician, we will release your second batch of training which is specifically designed to qualify you to move into the cybersecurity field. This official, accredited training consists of online training, practical training and an official exam (CompTIA Security+). Further we can tailor the package to include courses like the Certified Ethical Hacker and Certified Network Defender depending on your requirements and future direction.\nCybersecurity Role\nOnce you have completed all the mandatory training in step four and have gained two plus years experience in the IT industry, you will be ready to move into higher paying Cybersecurity roles. Our recruitment support team specialises in the IT and Cybersecurity space.\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) and the EC-Council to ensure we provide the highest levels of training.\nIn addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity.\nPassionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch

Please note this is a training programme with career placement and fees apply*\n\nIf you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you?\n\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\n\nAll you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career.\n\nWe help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career.\n\nWe ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles.\n\nFinally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers.\n\nWe have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme.\n\nThe programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer.\n\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week.\n\nStage 1 – Learn HTML and CSS (*up to 12 weeks)\n\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n\n * HTML Essentials (*up to 6 weeks)\n\n * CSS Essentials (*up to weeks)\n\nTraining is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support.\n\nOnce the HTML & CSS courses are complete, your trainer will move you forward to the next stage.\n\nStage 2 – Additional Online Training (*up to 12 weeks)\n\nThe second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead.\n\n * Learn the Command Line (*1.5 weeks)\n\n * Learn Git & GitHub (*1.5 weeks)\n\n * Learn JavaScript (*1.5 weeks)\n\n * Learn Python 3 (*1.5 weeks)\n\nJavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation.\n\nPython is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity.\n\nStep 3 - Building a Portfolio Website Project (1 week)\n\nYour tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career.\n\nIn addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended.\n\n * AWS Certified Cloud Practitioner\n\n * Microsoft Certified: Azure Administrator Associate\n\nStep 4 – Entry Level Coding placement (£25K - £40k)\n\nWe will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have.\n\nThere are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: -\n\n * Junior Developer\n\n * Website Support Developer\n\n * Junior Web Developer\n\n * Content Editor\n\n * Wordpress Developer\n\n * Junior Software Developer\n\n * Junior Front or Back End Development\n\n * Development Support\n\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website.\n\nOur money back Job Guarantee\n\nDue to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\n\nQualification for this programme?\n\nTo ensure we maintain a high level of support for our candidates, we limit spaces to this programme.\n\nApply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Trainee AI Engineer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Trainee AI Programmer – No Experience Needed\n\nFuture-proof your career in Artificial Intelligence – starting today.\n\nLooking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.\n\nTrain online at your own pace and land your first AI Engineer role in 1-3 months.\n\nPlease note this is a training course and fees apply\n\nJob guaranteed - complete the programme and get a job or get your money back.\n\nOur candidates earn £30,000-£45,000.\n\nWhy AI?\n\nAI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.\n\nThe demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.\n\nHow It Works\n\nStep 1 – AI Engineering Fundamentals\nStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.\n\nStep 2 – Data Fundamentals\nUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.\n\nStep 3 – Notebooks & IDEs\nGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.\n\nStep 4 – Python Programming\nMaster Python, covering everything from the basics to object-oriented programming (OOP).\n\nStep 5 – Python Streamlit Project\nApply your Python skills by building a car price prediction app using Python and Streamlit.\n\nStep 6 – Python for Data\nLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.\n\nStep 7 – AI Sentiment Analysis Project\nWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.\n\nStep 8 – AI Prompt Engineering\nMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.\n\nStep 9 – Retrieval-Augmented Generation (RAG)\nLearn how to integrate external knowledge into AI systems using RAG techniques and vector databases.\n\nStep 10 – AI Specialised Customer Service Chatbot Project\nCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.\n\nStep 11 – Machine Learning Fundamentals\nUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.\n\nStep 12 – Machine Learning Project\nPut your machine learning knowledge into practice with a hands-on project.\n\nStep 13 – AI & Data Ethics\nStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.\n\nStep 14 – Oral Exam\nComplete a virtual oral exam to assess your understanding and ability to apply your learning.\n\nStep 15 – AWS Certified Cloud Practitioner\nFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.\n\nWhat You Get\n\n· 100% online, self-paced training\n\n· Microsoft AI-900 certification included\n\n· 1-to-1 tutor and recruitment support\n\n· Real-world project experience\n\n· Job guarantee – get a job or your money back\n\n· Starting salary of £30,000–£45,000\n\nWe Get You Hired!\n\nWe're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.\n\nOur job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.\n\nWe don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back.\n\n"Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London\n\nReady to Start?\n\nIf you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.\n\nApply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps

Customer Service Agent - Key Accounts Department: Customer Services - Imports Location: Southampton, UK 10 month FTC - ending April 2027 A Customer Service Agent you are responsible for providing frontline responses to queries from our Key Account clients and provide resolutions for service issues that are brought to you through Service Cloud or other channels. In close cooperation with the Customer Administration team and supported by ONE's growing range of customer self-service tools you contribute to the overall Customer Service experience of our Key Account clients. You provide prompt case management and thereby deliver on agreed targets and objectives. Main Responsibilities: Day to Day Operations * Provide prompt frontline response to service queries and initiate solutions for issues/cases as defined in SOPs and assigned to you through Service Cloud. * Actively keep abreast on sector and internal knowledge development as well as any changes to SOPs and relevant rules and regulations. * Process import delivery requests timely in line with available transport allocation. * Raise invoices where required and be able to assist with handling those that are queried. * Resolve Service Recovery issues communicated by the transport planning team. * Handle all the internal email correspondence to the top standards. * Assist offshore team with any queries raised. Process & quality management * In order to provide an efficient service to ONE's high volume clients you work towards a high standard with a tailored approach to their customer service requirements * You keep up to date on the relevant self-service and e-commerce tools, promote these and pro-actively share any feedback that can help to further improve these tools. * Ensure that all processes and transactions are fully compliant with company and governmental rules and regulations. Communication & Collaboration * Ensure good collaboration and communication within departments and across and escalate cases in a timely and professional manner whenever appropriate. * Communicate effectively with customers and advise them in a reliable and professional manners. Skills, Qualifications and Expertise. * Excellent Customer Service Skills with experience of working in a busy office environment. * Excellent written, oral communication skills and organisational skills. * IT literate, Google Sheets, Word, Excel knowledge, digital platforms * High level of attention to detail. * Ability to multitask Why Join ONE? At Ocean Network Express, were passionate about delivering world-class service and driving digital innovation within the global shipping industry. Youll join a supportive and forward-thinking team, gain valuable experience within a leading global business, and contribute to our continued success in customer excellence and operational efficiency. * Membership of the Companys Group Pension Plan, into which the Company will contribute up to 10% of basic salary. * 25 days holiday excluding bank holidays * Death in Service Benefit (x8 annual salary) * Employee Assistance Programme, with free independent confidential support and virtual GP services * Interest free annual travel season ticket loan * Annual Medical Health check * Annual eye test and contribution towards glasses for VDU prescriptions * Online employee discount platform including retail, health, leisure, motor and more plus Cycle to work, Taste Card * Loyalty Award Scheme Application If you are interested in this role please apply using the link and uploading your CV. The closing date for this role is Wednesday 20th May 2026.

Ideal candidates will have an interest in IT and adhere to regulatory standards, demonstrating strong problem-solving abilities. The role involves providing level 1 support, optimizing server installations, and ensuring equipment maintenance. A leading cloud service provider in Erith, UK is seeking

Role : Google Workspace Engineer Location : London Duration : 6 months Overall purpose of the role As a Google Workspace Engineer, your primary purpose is to set up and manage Google Workspace for all staff members. You will play a crucial role in leading the organization's migration from Microsoft Office to the Google stack, handling highly sensitive data, and establishing vital Data Loss Prevention (DLP) and security rules to protect the company's information. Key skills Hands-on, practical experience working with the Google Workspace ecosystem, including Drive, Docs, Sheets, Slides, and Cloud Identity (certifications are not required, but proven experience is essential). Demonstrated experience migrating mid-to-large scale organizations (100+ people) from the Microsoft stack to Google Workspace. Strong background in DLP Security, specifically with setting up security and DLP rules for highly sensitive data. Helpful to have experience working within regulated environments, the public sector, finance, healthcare, or banks. Excellent stakeholder communication skills, with the ability to effectively communicate with both technical and non-technical personnel. A proactive, self-efficient professional who can manage their workload independently. Key responsibilities Set up, configure, and maintain Google Workspace for all staff across the organization. Manage the tools used for configuring and updating the Google stack, which includes turning features on and off as needed. Facilitate the migration process from Microsoft Office to Google Workspace, including providing direct support to users (for example, guiding them on how to perform familiar Microsoft Word tasks within Google Docs). Establish, implement, and maintain robust security and Data Loss Prevention (DLP) rules to safeguard highly sensitive company data About Barclays Barclays is a British universal bank. It is diversified by business, by different types of customers and clients, and by geography. Barclays businesses include consumer banking and payments operations around the world, as well as a top-tier, full service, global corporate and investment bank, all of which are supported by its service company which provides technology, operations and functional services across the Group. Values Everything Barclays does is shaped by its five values of Respect, Integrity, Service, Excellence and Stewardship. The Barclays values inform the foundations of its relationships with customers and clients, but they also shape how Barclays measures and rewards the performance of colleagues. Simply put, success is not just about what you achieve, but about how you achieve it. Diversity Barclays aims to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to Barclays vision and goals. Hybrid Working Barclays is currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. Barclays is flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. Barclays also has a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances Your Benefits As a contract employee of Randstad Sourceright, you’ll receive a wide range of financial and personal benefits. There’s enrolment in a pension plan (after 12 weeks on assignment) and holiday pay. You’ll also get 24/7 access to an Employee Assistance Programme, designed to help you deal with any problems that could be affecting your home or work life. Plus, there’s discounts at heaps of high street shops, restaurants and entertainment - from Asda to Zizzi Italian restaurants.

Please note this is a training programme with career placement and fees apply* If you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. All you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career. We help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career. We ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles. Finally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers. We have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme. The programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week. Stage 1 – Learn HTML and CSS (*up to 12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (*up to 6 weeks), • CSS Essentials (*up to weeks) Training is delivered through multimedia rich video tutorials, presentations and quizzes using an online portal enabling you to study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor who will work with you 1-2-1 or in group sessions to provide additional training and support. Once the HTML & CSS courses are complete, your trainer will move you forward to the next stage. Stage 2 – Additional Online Training (*up to 12 weeks) The second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. • Learn the Command Line (*1.5 weeks), • Learn Git & GitHub (*1.5 weeks), • Learn JavaScript (*1.5 weeks), • Learn Python 3 (*1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet. Therefore, this is an essential addition language in building your programming and development foundation. Python is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity. Step 3 - Building a Portfolio Website Project (1 week) Your tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career. In addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended. • AWS Certified Cloud Practitioner, • Microsoft Certified: Azure Administrator Associate Step 4 – Entry Level Coding placement We will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have. There are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: - • Junior Developer, • Website Support Developer, • Junior Web Developer, • Content Editor, • Wordpress Developer, • Junior Software Developer, • Junior Front or Back End Development, • Development Support We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. We also have a 4.9 Trustpilot rating and numerous testimonials available on our website. Our money back Job Guarantee Due to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Qualification for this programme? To ensure we maintain a high level of support for our candidates, we limit spaces to this programme. Apply before the deadline and one of our consultants will speak with you to check your eligibility for the programme

Work within cross-functional teams delivering a modern data platform. Building and operating secure, automated, cloud‑native platforms.

This position offers an exciting opportunity to work in a collaborative environment, where your contributions will enhance the efficiency of IT operations across multiple locations. With a focus on hands-on, remote, and telephone support, this role requires a proven track record in server administra

EML is seeking an IT Systems Administrator in Greater London to manage corporate IT systems and infrastructure. The ideal candidate has 3-5 years in IT administration, experience with Microsoft Azure or AWS, and effective communication skills. This position offers hybrid working and generous benefit

TechNET IT Recruitment Ltd is seeking an experienced Senior Site Reliability Engineer for a 6-month hybrid contract in London. This role focuses on the migration of critical workloads from GCP to AWS within a large-scale engineering function. Key responsibilities include ensuring operational perform

Most of the client sites are within North Yorkshire and the Northwest England, and visits are expected as part of your duties and responsibilities so preference would be located near here however if you are happy to travel then we would not rule anyone with the right skills out. Working with a fast-

IT Works Recruitment LTD is seeking an experienced IFS HCM Consultant for a part-time 6-month contract in the United Kingdom. The successful candidate will support the implementation of the HCM module within IFS Cloud, working closely with HR and project stakeholders. Responsibilities include gather

The ideal candidate will have experience in cloud IT solutions and strong client-facing skills. This position offers significant opportunities for professional growth and exposure to cutting-edge technologies. InfraView is seeking a Project Manager for IT infrastructure projects in Greater London, U

The role involves managing IT infrastructure services, ensuring system availability, and providing technical guidance. Offering hybrid working with 3 days onsite and a salary of up to £39,000. Harvey Nash Group is seeking a Cloud and Infrastructure Administrator located in Northumberland.

Exceptional opportunity to join an outstanding organization with a commitment to providing outstanding personal development and career opportunities. This is a fantastic opportunity to join a leading Dell partner and multi‑vendor Cloud & IT Infrastructure Solutions & Services Provider as they grow

A prominent financial technology company is seeking a Director of IT to lead its global IT strategy, focusing on security, operations, and vendor management. This role supports a remote workforce and offers competitive compensation along with unlimited PTO. The ideal candidate possesses over 8 years

This role focuses on ensuring the stability and security of AMCS’s IT infrastructure, requiring strong expertise in systems and network engineering, primarily with Microsoft 365 and Azure. The position mandates on-site presence two days a week and offers a chance to lead improvement projects. Join

InfraView - Specialist Cloud & IT Infrastructure Technology Recruitment is seeking a DV Cleared Infrastructure Engineer for a role in Hertfordshire offering a salary of £65,000. The role provides limitless development opportunities and access to cutting-edge technologies. The ideal candidate should

Requirements include experience in IT support, ITIL v4 certification, and knowledge of Windows and Microsoft 365. The position offers a salary package of up to £33k, depending on experience, with a hybrid working model near Warrington. Pearson Carter is seeking an IT Support Analyst for a global ma

This role will act as a senior escalation point within the support function, working closely with internal teams, vendors and project stakeholders to ensure high availability, security and performance of core IT services. London, City (off-site datacentre access required). Cloud and Datacentre Infra

Additional benefits discussed during the recruitment process. Network improvements and site connectivity. Working across servers, networking, and security – a bit of everything.

A competitive daily rate of £525 - £550 is offered for this 12-month contract position, providing opportunity to impact patient outcomes directly. A global biopharmaceutical company in London is seeking an experienced Project Manager to lead the delivery of critical IT systems and health-tech solu

Benefits include a competitive salary, hybrid working, health insurance, and enhanced parental leave. A leading UK used car marketplace is seeking an IT Support Engineer to provide essential support for its workforce. The role involves troubleshooting technical issues, enhancing IT systems, and ensu

This role offers a competitive salary of £65,000 plus benefits including pension, healthcare, paid volunteering days, and career development opportunities. SPECTRUM IT is seeking a Cloud Engineer to design and maintain secure cloud infrastructure across AWS and Azure. You will work in the energy se

The ideal candidate will have extensive experience in delivering IT infrastructure services in a Managed Services environment, with a deep understanding of cloud technologies (primarily Azure), datacentres, networks, end-user computing, IT Service Management (ITSM), and service desks. Ensure that th

Differentiating through its productised services, consulting capability and cloud expertise. Join a genuinely exciting business with amazing technology stack. This position is has split between Pre and Post sales takes and need someone who can roll their sleaves up and get stuck in as/when required

GET STAFFED ONLINE RECRUITMENT LIMITED is seeking an experienced IT Project Engineer to join their hybrid model team in England. Benefits include competitive salary, training opportunities, health plans, and generous leave policies.

InfraView - Specialist Cloud & IT Infrastructure Technology Recruitment is seeking a PKI Engineer to manage PKI operations. The position offers extensive training and development opportunities within a collaborative and technology-driven culture.