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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Would you like to join a globally recognised FMCG brand with a strong heritage in quality, innovation and entrepreneurial spirit? As the HR Business Partner, you will collaborate with Industrial leaders to help deliver the site s strategic objectives through effective, commercially focused people practices. The Role: Partnering with site leadership to understand operational goals and workforce requirements Supporting workforce planning activity, including hiring timelines, capability mapping and resource profiling Providing expert advice and guidance across all employee relations matters Building strong relationships with managers and employee representatives, maintaining visible presence across the production environment Embedding a high-performance culture through coaching, performance review support, development boards and succession planning Supporting reward and recognition processes, including pay review and bonus cycles Identifying learning and development needs and supporting delivery of capability initiatives aligned to safety and compliance standards Supporting organisational development and audit activity, ensuring governance standards, accurate record keeping and effective reporting About You: Proven HR Business Partner experience within a large, complex organisation Strong employee relations expertise with the ability to manage complex cases confidently and professionally The ability to balance strategic thinking with hands-on operational delivery Excellent stakeholder management skills with the credibility to influence at all levels Resilience, sound judgement and the ability to manage competing priorities independently A proactive, solutions-focused mindset with strong coaching capability A passion for driving performance, engagement and continuous improvement across industrial teams If the role and responsibilities sound like a good fit for you, then I d love to speak to you! Find out more about our available opportunities or how we can help you further your career contact us today. Email: (url removed) Phone: (phone number removed) We look forward to your application for this exciting opportunity. The Advocate Group is a leading recruitment partner, based in the UK, to the FMCG and consumer product sectors. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. By applying for this role, you are agreeing to our Privacy Policy, which can be found on our website. Please note that The Advocate Group is acting as an employment agency in relation to this vacancy.
May 20, 2026
Full time
Would you like to join a globally recognised FMCG brand with a strong heritage in quality, innovation and entrepreneurial spirit? As the HR Business Partner, you will collaborate with Industrial leaders to help deliver the site s strategic objectives through effective, commercially focused people practices. The Role: Partnering with site leadership to understand operational goals and workforce requirements Supporting workforce planning activity, including hiring timelines, capability mapping and resource profiling Providing expert advice and guidance across all employee relations matters Building strong relationships with managers and employee representatives, maintaining visible presence across the production environment Embedding a high-performance culture through coaching, performance review support, development boards and succession planning Supporting reward and recognition processes, including pay review and bonus cycles Identifying learning and development needs and supporting delivery of capability initiatives aligned to safety and compliance standards Supporting organisational development and audit activity, ensuring governance standards, accurate record keeping and effective reporting About You: Proven HR Business Partner experience within a large, complex organisation Strong employee relations expertise with the ability to manage complex cases confidently and professionally The ability to balance strategic thinking with hands-on operational delivery Excellent stakeholder management skills with the credibility to influence at all levels Resilience, sound judgement and the ability to manage competing priorities independently A proactive, solutions-focused mindset with strong coaching capability A passion for driving performance, engagement and continuous improvement across industrial teams If the role and responsibilities sound like a good fit for you, then I d love to speak to you! Find out more about our available opportunities or how we can help you further your career contact us today. Email: (url removed) Phone: (phone number removed) We look forward to your application for this exciting opportunity. The Advocate Group is a leading recruitment partner, based in the UK, to the FMCG and consumer product sectors. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age. By applying for this role, you are agreeing to our Privacy Policy, which can be found on our website. Please note that The Advocate Group is acting as an employment agency in relation to this vacancy.
Senior PR and Communications Manager The Royal Marsden Cancer Charity Location: Chelsea, London (Hybrid working, two office days) Salary: £51,000 Contract: Permanent, Full-time (37.5 hours per week) The Royal Marsden Cancer Charity exists to transform the lives of people affected by cancer. We fund world-leading research, state-of-the-art equipment and exceptional patient environments, ensuring The Royal Marsden can continue to deliver outstanding care and develop pioneering treatments used across the UK and beyond. Following significant growth and the successful £70m Oak Cancer Centre Appeal, we are now delivering our most ambitious strategy yet - raising at least £215m over five years, including a major new development in Chelsea. About the Role We are seeking a passionate and experienced Senior PR and Communications Manager to lead our PR and Communications function and play a key role in raising the Charity s profile as a global leader in cancer research funding. You will lead the development and delivery of a proactive and reactive PR and communications strategy that enhances our reputation, drives awareness, and supports fundraising across all income streams. Managing a small team, you will work collaboratively across the Charity and hospital to identify compelling stories from groundbreaking research to powerful patient and supporter experiences and bring them to life across regional, national and sector media. What You ll Be Doing Strategic Leadership Deliver the Charity s PR and communications strategy to increase visibility, reputation and engagement Manage and develop the PR and Communications team, ensuring high-quality, impactful output Track and report on media performance, coverage and KPIs. Media Relations & Reputation Management Develop strong relationships with national, regional and specialist media Lead proactive media engagement, including story sell-in, press releases and media briefings Manage reactive communications, including handling sensitive issues and advising on messaging Identify opportunities to position senior leaders as thought leaders within the sector. Content and Storytelling Oversee the development of high-quality, compelling content that showcases the Charity s impact Lead on the production of the Charity s supporter magazine Progress and key publications, including Annual and Impact Reports Work closely with clinical teams, patients and supporters to source authentic, engaging stories. Campaigns and Partnerships Lead PR activity for flagship campaigns and events, including The Banham Marsden March, Celebrate a Life, and the Ever After Garden Support major fundraising initiatives, corporate partnerships and new product launches Collaborate with Marketing and Digital teams to maximise reach across channels. Stakeholder Engagement Build strong relationships across the Charity, hospital and external partners Work closely with clinical teams, senior leadership, and celebrity/VIP stakeholders to maximise appropriate PR opportunities Ensure consistent and accurate representation of the Charity s brand and messaging. About You We are looking for a confident and strategic communications leader with strong charity sector experience. You will bring: Significant experience in PR and communications within the charity sector A proven track record of delivering impactful PR strategies and campaigns Strong media relations expertise, including handling complex and sensitive issues Experience of managing and developing high-performing teams Excellent writing, editing and storytelling skills Experience producing publications such as annual reports or magazines Strong stakeholder management skills, with the ability to influence at all levels. Desirable: Knowledge of the NHS or healthcare environment Professional qualifications in journalism or communications Experience working with VIP or celebrity engagement. Why Join Us Play a pivotal role in a high-impact charity making a real difference to cancer patients around the world Work with leading clinicians, researchers and inspiring patient stories Be part of an ambitious organisation at a critical stage of growth Lead high-profile campaigns with national reach. Benefits Hybrid working between home and Chelsea with occasional travel to Sutton Flexible working around our core hours of 10am to 4pm 27 days annual leave rising with length of service Up to 6% employer contributions subject to matched contribution from you (increasing with length of service) Training, support and development opportunities Access to the blue light discount scheme and other discounts opportunities Access to subsidised staff restaurants, on-site yoga and wellbeing classes, staff choir and much more Range of wellbeing initiatives including access to an employee assistance programme designed to save money and improve your physical, financial and mental health and wellbeing, access to free online GP appointments and free eye tests and contribution towards any glasses required for work purposes Our Commitment to Inclusion We are committed to building a diverse and inclusive workplace where everyone feels valued and supported. We welcome applications from candidates of all backgrounds and are dedicated to ensuring equitable opportunities for all.
May 20, 2026
Full time
Senior PR and Communications Manager The Royal Marsden Cancer Charity Location: Chelsea, London (Hybrid working, two office days) Salary: £51,000 Contract: Permanent, Full-time (37.5 hours per week) The Royal Marsden Cancer Charity exists to transform the lives of people affected by cancer. We fund world-leading research, state-of-the-art equipment and exceptional patient environments, ensuring The Royal Marsden can continue to deliver outstanding care and develop pioneering treatments used across the UK and beyond. Following significant growth and the successful £70m Oak Cancer Centre Appeal, we are now delivering our most ambitious strategy yet - raising at least £215m over five years, including a major new development in Chelsea. About the Role We are seeking a passionate and experienced Senior PR and Communications Manager to lead our PR and Communications function and play a key role in raising the Charity s profile as a global leader in cancer research funding. You will lead the development and delivery of a proactive and reactive PR and communications strategy that enhances our reputation, drives awareness, and supports fundraising across all income streams. Managing a small team, you will work collaboratively across the Charity and hospital to identify compelling stories from groundbreaking research to powerful patient and supporter experiences and bring them to life across regional, national and sector media. What You ll Be Doing Strategic Leadership Deliver the Charity s PR and communications strategy to increase visibility, reputation and engagement Manage and develop the PR and Communications team, ensuring high-quality, impactful output Track and report on media performance, coverage and KPIs. Media Relations & Reputation Management Develop strong relationships with national, regional and specialist media Lead proactive media engagement, including story sell-in, press releases and media briefings Manage reactive communications, including handling sensitive issues and advising on messaging Identify opportunities to position senior leaders as thought leaders within the sector. Content and Storytelling Oversee the development of high-quality, compelling content that showcases the Charity s impact Lead on the production of the Charity s supporter magazine Progress and key publications, including Annual and Impact Reports Work closely with clinical teams, patients and supporters to source authentic, engaging stories. Campaigns and Partnerships Lead PR activity for flagship campaigns and events, including The Banham Marsden March, Celebrate a Life, and the Ever After Garden Support major fundraising initiatives, corporate partnerships and new product launches Collaborate with Marketing and Digital teams to maximise reach across channels. Stakeholder Engagement Build strong relationships across the Charity, hospital and external partners Work closely with clinical teams, senior leadership, and celebrity/VIP stakeholders to maximise appropriate PR opportunities Ensure consistent and accurate representation of the Charity s brand and messaging. About You We are looking for a confident and strategic communications leader with strong charity sector experience. You will bring: Significant experience in PR and communications within the charity sector A proven track record of delivering impactful PR strategies and campaigns Strong media relations expertise, including handling complex and sensitive issues Experience of managing and developing high-performing teams Excellent writing, editing and storytelling skills Experience producing publications such as annual reports or magazines Strong stakeholder management skills, with the ability to influence at all levels. Desirable: Knowledge of the NHS or healthcare environment Professional qualifications in journalism or communications Experience working with VIP or celebrity engagement. Why Join Us Play a pivotal role in a high-impact charity making a real difference to cancer patients around the world Work with leading clinicians, researchers and inspiring patient stories Be part of an ambitious organisation at a critical stage of growth Lead high-profile campaigns with national reach. Benefits Hybrid working between home and Chelsea with occasional travel to Sutton Flexible working around our core hours of 10am to 4pm 27 days annual leave rising with length of service Up to 6% employer contributions subject to matched contribution from you (increasing with length of service) Training, support and development opportunities Access to the blue light discount scheme and other discounts opportunities Access to subsidised staff restaurants, on-site yoga and wellbeing classes, staff choir and much more Range of wellbeing initiatives including access to an employee assistance programme designed to save money and improve your physical, financial and mental health and wellbeing, access to free online GP appointments and free eye tests and contribution towards any glasses required for work purposes Our Commitment to Inclusion We are committed to building a diverse and inclusive workplace where everyone feels valued and supported. We welcome applications from candidates of all backgrounds and are dedicated to ensuring equitable opportunities for all.
Lead Embedded Software Engineer Location: Ealing Area - With Hybrid Working from Home Salary: Up to 80,000 + Extensive Benefits The Role KO2's client is looking for a Lead Embedded Software Engineer to drive the development of robust, scalable embedded software solutions for next-generation electric products. This role combines hands-on technical delivery with small-team leadership, offering the opportunity to influence architecture, mentor engineers, and shape the future direction of embedded platforms. You will play a key role across the full product lifecycle - from early-stage prototyping and system design through to production, manufacturing, and long-term product support - while helping build engineering best practices and delivery capability within the team. Key Responsibilities Lead the design and development of high-quality embedded software that is efficient, maintainable, scalable, and production-ready Provide technical leadership to a small embedded software team, supporting task planning, technical direction, mentoring, and code reviews Collaborate closely with hardware, systems, and manufacturing teams to support board bring-up, debugging, integration, and system validation Own key architectural decisions, helping define software frameworks, coding standards, development processes, and long-term platform strategy Design, implement, test, and maintain embedded software for internally developed electric systems and connected devices Investigate and resolve complex real-time issues relating to timing, performance, reliability, and signal integrity Support continuous improvement initiatives across tooling, automation, testing, and development workflows Contribute to project planning, technical estimation, risk management, and delivery milestones Champion engineering best practices including documentation, version control, CI/CD, and software quality standards About You Strong commercial experience developing embedded software in C and C++ Proven experience leading or mentoring engineers within a small technical team or project environment Strong understanding of embedded systems architecture and full software development lifecycle practices Experience developing RTOS-based applications Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI Comfortable working across hardware/software boundaries, including debugging and system integration Experience using version control systems, particularly Git, within collaborative development environments A proactive technical problem-solver with strong analytical and root-cause investigation skills Ability to communicate effectively with both technical and non-technical stakeholders Desirable Skills Exposure to functional safety standards such as ISO 13849 or ISO 26262 Experience with CI/CD pipelines and modern development tooling (e.g. Jenkins, Docker) Familiarity with Python for automation, tooling, or test development Experience contributing to technical roadmaps, architectural strategy, or platform standardisatioN Why Apply? This is an excellent opportunity for a senior embedded engineer ready to step into a lead role - or an existing lead engineer looking for greater technical ownership and influence within an innovative engineering environment developing advanced electric products. Apply today with an up-to-date CV
May 20, 2026
Full time
Lead Embedded Software Engineer Location: Ealing Area - With Hybrid Working from Home Salary: Up to 80,000 + Extensive Benefits The Role KO2's client is looking for a Lead Embedded Software Engineer to drive the development of robust, scalable embedded software solutions for next-generation electric products. This role combines hands-on technical delivery with small-team leadership, offering the opportunity to influence architecture, mentor engineers, and shape the future direction of embedded platforms. You will play a key role across the full product lifecycle - from early-stage prototyping and system design through to production, manufacturing, and long-term product support - while helping build engineering best practices and delivery capability within the team. Key Responsibilities Lead the design and development of high-quality embedded software that is efficient, maintainable, scalable, and production-ready Provide technical leadership to a small embedded software team, supporting task planning, technical direction, mentoring, and code reviews Collaborate closely with hardware, systems, and manufacturing teams to support board bring-up, debugging, integration, and system validation Own key architectural decisions, helping define software frameworks, coding standards, development processes, and long-term platform strategy Design, implement, test, and maintain embedded software for internally developed electric systems and connected devices Investigate and resolve complex real-time issues relating to timing, performance, reliability, and signal integrity Support continuous improvement initiatives across tooling, automation, testing, and development workflows Contribute to project planning, technical estimation, risk management, and delivery milestones Champion engineering best practices including documentation, version control, CI/CD, and software quality standards About You Strong commercial experience developing embedded software in C and C++ Proven experience leading or mentoring engineers within a small technical team or project environment Strong understanding of embedded systems architecture and full software development lifecycle practices Experience developing RTOS-based applications Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI Comfortable working across hardware/software boundaries, including debugging and system integration Experience using version control systems, particularly Git, within collaborative development environments A proactive technical problem-solver with strong analytical and root-cause investigation skills Ability to communicate effectively with both technical and non-technical stakeholders Desirable Skills Exposure to functional safety standards such as ISO 13849 or ISO 26262 Experience with CI/CD pipelines and modern development tooling (e.g. Jenkins, Docker) Familiarity with Python for automation, tooling, or test development Experience contributing to technical roadmaps, architectural strategy, or platform standardisatioN Why Apply? This is an excellent opportunity for a senior embedded engineer ready to step into a lead role - or an existing lead engineer looking for greater technical ownership and influence within an innovative engineering environment developing advanced electric products. Apply today with an up-to-date CV
Role Information: Job Title - Production Planning Lead Salary - Up to 38,000 DOE Based - Merthyr Tydfil, South Wales Why join Marshall Land Systems in this role: The Production Planning Lead is responsible for leading and coordinating all production planning, capacity management and material control activities to ensure efficient and effective delivery of operational and project objectives. The role drives the optimisation of ERP/MRP systems, planning processes and data integrity, providing leadership and direction to the planning function while ensuring alignment across production, supply chain and engineering to achieve on-time, cost-effective delivery. Your responsibilities in this role include: Lead the development and execution of capacity planning strategies, ensuring optimal utilisation of resources and alignment with production demands and maintenance cycles Own and drive material planning, inventory management and stock control through ERP/MRP systems to meet customer and project requirements Ensure full integration of capacity and material planning within ERP/MRP systems to optimise delivery performance, efficiency and cost Provide leadership, guidance and support to Production Planners, ensuring consistency, accuracy and best practice across the planning function Own data integrity within the ERP system (IFS), ensuring accurate master data, timely MRP execution and resolution of system and stock issues Oversee project loading into ERP systems, ensuring accurate setup of Master Parts, BOMs and key planning data following design release Control the timely release of projects to planning, procurement and production, ensuring alignment with delivery schedules Govern change management within MRP systems, ensuring all amendments are controlled, traceable and reflect latest design intent Ensure accurate linking of shop orders and parent orders to enable robust cost tracking and financial visibility Monitor planning performance, proactively identifying risks, constraints and deviations, and implementing corrective actions Lead continuous improvement initiatives across planning systems, processes and methodologies (Lean, 5S, digital optimisation) Provide planning expertise and input into bids, forecasting and long-term capacity planning Ensure effective project closure processes, including material issuing, system accuracy and cost roll-up for finance and project teams Act as the subject matter expert for ERP/MRP systems, delivering training, guidance and support to stakeholders Collaborate cross-functionally to align planning with operational priorities and business Apply if you have most of the following: Significant experience within a production planning, manufacturing engineering or operations planning environment Proven experience in leading or coordinating planning activities within a production, assembly or vehicle build environment Strong track record of using ERP/MRP systems to manage capacity, materials and production flow Experience in driving improvements in planning processes, systems or data accuracy Demonstrated ability to influence and coordinate across multiple functions Technical skills/education Advanced experience in production or factory planning roles Strong working knowledge of ERP/MRP systems and end-to-end planning processes High level of IT proficiency, including Excel and ERP platforms In-depth understanding of capacity planning, inventory management and production flow optimisation Strong analytical, organisational and problem-solving skills Effective communication skills with the ability to engage and influence stakeholders at all Ability to manage multiple priorities and work accurately under pressure Additional local needs: Onsite working Candidates will need to be able to obtain BPSS clearance The benefits of this role include: Opportunity to lead and shape the production planning function within a complex manufacturing environment Increased ownership and influence over end-to-end planning, delivery and operational performance Development of leadership, strategic planning and cross-functional collaboration skills Exposure to business-critical decision-making and long-term capacity planning Opportunities for progression into senior operations, supply chain or planning leadership Involvement in driving system, process and digital transformation initiatives Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
May 20, 2026
Full time
Role Information: Job Title - Production Planning Lead Salary - Up to 38,000 DOE Based - Merthyr Tydfil, South Wales Why join Marshall Land Systems in this role: The Production Planning Lead is responsible for leading and coordinating all production planning, capacity management and material control activities to ensure efficient and effective delivery of operational and project objectives. The role drives the optimisation of ERP/MRP systems, planning processes and data integrity, providing leadership and direction to the planning function while ensuring alignment across production, supply chain and engineering to achieve on-time, cost-effective delivery. Your responsibilities in this role include: Lead the development and execution of capacity planning strategies, ensuring optimal utilisation of resources and alignment with production demands and maintenance cycles Own and drive material planning, inventory management and stock control through ERP/MRP systems to meet customer and project requirements Ensure full integration of capacity and material planning within ERP/MRP systems to optimise delivery performance, efficiency and cost Provide leadership, guidance and support to Production Planners, ensuring consistency, accuracy and best practice across the planning function Own data integrity within the ERP system (IFS), ensuring accurate master data, timely MRP execution and resolution of system and stock issues Oversee project loading into ERP systems, ensuring accurate setup of Master Parts, BOMs and key planning data following design release Control the timely release of projects to planning, procurement and production, ensuring alignment with delivery schedules Govern change management within MRP systems, ensuring all amendments are controlled, traceable and reflect latest design intent Ensure accurate linking of shop orders and parent orders to enable robust cost tracking and financial visibility Monitor planning performance, proactively identifying risks, constraints and deviations, and implementing corrective actions Lead continuous improvement initiatives across planning systems, processes and methodologies (Lean, 5S, digital optimisation) Provide planning expertise and input into bids, forecasting and long-term capacity planning Ensure effective project closure processes, including material issuing, system accuracy and cost roll-up for finance and project teams Act as the subject matter expert for ERP/MRP systems, delivering training, guidance and support to stakeholders Collaborate cross-functionally to align planning with operational priorities and business Apply if you have most of the following: Significant experience within a production planning, manufacturing engineering or operations planning environment Proven experience in leading or coordinating planning activities within a production, assembly or vehicle build environment Strong track record of using ERP/MRP systems to manage capacity, materials and production flow Experience in driving improvements in planning processes, systems or data accuracy Demonstrated ability to influence and coordinate across multiple functions Technical skills/education Advanced experience in production or factory planning roles Strong working knowledge of ERP/MRP systems and end-to-end planning processes High level of IT proficiency, including Excel and ERP platforms In-depth understanding of capacity planning, inventory management and production flow optimisation Strong analytical, organisational and problem-solving skills Effective communication skills with the ability to engage and influence stakeholders at all Ability to manage multiple priorities and work accurately under pressure Additional local needs: Onsite working Candidates will need to be able to obtain BPSS clearance The benefits of this role include: Opportunity to lead and shape the production planning function within a complex manufacturing environment Increased ownership and influence over end-to-end planning, delivery and operational performance Development of leadership, strategic planning and cross-functional collaboration skills Exposure to business-critical decision-making and long-term capacity planning Opportunities for progression into senior operations, supply chain or planning leadership Involvement in driving system, process and digital transformation initiatives Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
Immediate Start This role is working either DAYS and NIGHTS on a shift pattern Monday to Thursday and shifts can change each week. 6.30am to 2.30pm and/or 10.30pm to 6.30am Please only apply if available to work the above shifts. As a Production Operative you are a highly motivated team member, applying all safety and quality standards to support line teams in achieving goals. your role will be ensuring smooth running of the production line, by ensuring materials are loaded and health and safety along with house keeping is adhered to at all times. You are responsible for the quality of the product produced on your line being Right First Time Ensuring the safety of you and team members at all times through following the defined equipment operational standards and ensuring you are trained and actively following all standard procedures Take responsibility for the quality and accuracy of your own work. Support 100% Defect Elimination on Time Support Zero Housekeeping Outages Ensure clear understanding and compliance of all line and site quality procedures Follow material movement and usage standards, and highlight and fix any issues before proceeding You are responsible with your team to deliver the PR targets by following the proven standards and continuously identifying and eliminating losses through the utilisation of appropriate systems and/ or tools. Operate packing line processes to maximise results Participate in changeovers, process product changes on line following defined standards. Liaise with Team Leaders, Eng Techs and other team colleagues to complete actions that will improve the line results. Contribute to an effective team-working environment in the day to day running of the line by establishing and maintaining productive working relationships Ensure effective communication with oncoming shift at handover, completing any necessary job or task documentation accurately and legibly. Provide feedback in a constructive way and encourage each other to promote success. Provide or take part in any relevant formal or on the job training. Take responsibility for identifying & communicating own personal training needs. Effectively manage own time and resources to ensure work is completed with minimal loss and highlight any support needed. Maintain effectiveness when experiencing changes to work tasks or the working environment and highlight any support needed. Work collaboratively with your team leader to support a fully staffed and capable Packing Department Skills and Behaviours Required Demonstrate positive team behaviours by working with and motivating fellow team members towards achievement of common goals Support and be prepared to take daily direction from your team leader and process engineer whilst on shift. Be prepared to flow to the work when needed. Using appropriate methods and a flexible interpersonal style, demonstrate a personal commitment to the team. Drive to continuously improve and deliver results Ability to effectively work with PC application (e.g.RTCIS) Constructive feedback skills Good communication skills at all levels both verbal and written Applicants must be able to demonstrate: Pro-active Personal Drive Team working skills An understanding of the importance of Quality and Customer Service Literacy and numeracy Be prepared to work flexible working patterns throughout which includes days and nights. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser
May 20, 2026
Seasonal
Immediate Start This role is working either DAYS and NIGHTS on a shift pattern Monday to Thursday and shifts can change each week. 6.30am to 2.30pm and/or 10.30pm to 6.30am Please only apply if available to work the above shifts. As a Production Operative you are a highly motivated team member, applying all safety and quality standards to support line teams in achieving goals. your role will be ensuring smooth running of the production line, by ensuring materials are loaded and health and safety along with house keeping is adhered to at all times. You are responsible for the quality of the product produced on your line being Right First Time Ensuring the safety of you and team members at all times through following the defined equipment operational standards and ensuring you are trained and actively following all standard procedures Take responsibility for the quality and accuracy of your own work. Support 100% Defect Elimination on Time Support Zero Housekeeping Outages Ensure clear understanding and compliance of all line and site quality procedures Follow material movement and usage standards, and highlight and fix any issues before proceeding You are responsible with your team to deliver the PR targets by following the proven standards and continuously identifying and eliminating losses through the utilisation of appropriate systems and/ or tools. Operate packing line processes to maximise results Participate in changeovers, process product changes on line following defined standards. Liaise with Team Leaders, Eng Techs and other team colleagues to complete actions that will improve the line results. Contribute to an effective team-working environment in the day to day running of the line by establishing and maintaining productive working relationships Ensure effective communication with oncoming shift at handover, completing any necessary job or task documentation accurately and legibly. Provide feedback in a constructive way and encourage each other to promote success. Provide or take part in any relevant formal or on the job training. Take responsibility for identifying & communicating own personal training needs. Effectively manage own time and resources to ensure work is completed with minimal loss and highlight any support needed. Maintain effectiveness when experiencing changes to work tasks or the working environment and highlight any support needed. Work collaboratively with your team leader to support a fully staffed and capable Packing Department Skills and Behaviours Required Demonstrate positive team behaviours by working with and motivating fellow team members towards achievement of common goals Support and be prepared to take daily direction from your team leader and process engineer whilst on shift. Be prepared to flow to the work when needed. Using appropriate methods and a flexible interpersonal style, demonstrate a personal commitment to the team. Drive to continuously improve and deliver results Ability to effectively work with PC application (e.g.RTCIS) Constructive feedback skills Good communication skills at all levels both verbal and written Applicants must be able to demonstrate: Pro-active Personal Drive Team working skills An understanding of the importance of Quality and Customer Service Literacy and numeracy Be prepared to work flexible working patterns throughout which includes days and nights. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser
Our client, a well-established organisation within the FMCG sector, is seeking a commercially minded Financial Controller to join their finance team based in Huntingdon. The successful candidate will work closely with site leadership to ensure robust financial control, drive performance improvements, and support strategic decision-making. Key Responsibilities Financial Reporting & Control Produce accurate and timely monthly management accounts for the site. Maintain strong financial controls and ensure compliance with group accounting policies. Manage balance sheet reconciliations and investigate variances. Support the month-end and year-end close processes . Business Partnering Act as a finance partner to site operations , supporting department heads with financial insight. Provide analysis on cost performance, margins, and operational KPIs . Identify opportunities for cost control and operational efficiency . Budgeting & Forecasting Lead the annual budgeting process for the site. Produce regular forecasts and monitor performance against budget. Analyse variances and provide clear commentary to senior management. Operational Finance Monitor inventory, production costs, and waste analysis . Support pricing, margin analysis, and cost improvement initiatives. Work closely with supply chain and production teams to improve financial visibility. Compliance & Audit Ensure compliance with internal controls, policies, and audit requirements . Support both internal and external audits . Assist with statutory reporting requirements where required. Candidate Profile Qualifications & Experience Qualified ( ACA, ACCA, or CIMA ) Previous experience in a manufacturing or FMCG environment preferred. Strong experience producing management accounts and financial analysis. Skills Strong analytical and problem-solving skills . Ability to partner with non-finance stakeholders and influence decision-making. Excellent communication and presentation skills . Advanced Excel and financial systems knowledge. Personal Attributes Proactive and commercially focused. Strong attention to detail with a hands-on approach. Ability to work effectively in a fast-paced operational environment . What's on Offer Competitive salary and benefits package. Opportunity to work within a dynamic FMCG environment . Strong exposure to operational and commercial finance . Flexible working arrangement after probation (4 days on-site / 1 day remote).
May 20, 2026
Full time
Our client, a well-established organisation within the FMCG sector, is seeking a commercially minded Financial Controller to join their finance team based in Huntingdon. The successful candidate will work closely with site leadership to ensure robust financial control, drive performance improvements, and support strategic decision-making. Key Responsibilities Financial Reporting & Control Produce accurate and timely monthly management accounts for the site. Maintain strong financial controls and ensure compliance with group accounting policies. Manage balance sheet reconciliations and investigate variances. Support the month-end and year-end close processes . Business Partnering Act as a finance partner to site operations , supporting department heads with financial insight. Provide analysis on cost performance, margins, and operational KPIs . Identify opportunities for cost control and operational efficiency . Budgeting & Forecasting Lead the annual budgeting process for the site. Produce regular forecasts and monitor performance against budget. Analyse variances and provide clear commentary to senior management. Operational Finance Monitor inventory, production costs, and waste analysis . Support pricing, margin analysis, and cost improvement initiatives. Work closely with supply chain and production teams to improve financial visibility. Compliance & Audit Ensure compliance with internal controls, policies, and audit requirements . Support both internal and external audits . Assist with statutory reporting requirements where required. Candidate Profile Qualifications & Experience Qualified ( ACA, ACCA, or CIMA ) Previous experience in a manufacturing or FMCG environment preferred. Strong experience producing management accounts and financial analysis. Skills Strong analytical and problem-solving skills . Ability to partner with non-finance stakeholders and influence decision-making. Excellent communication and presentation skills . Advanced Excel and financial systems knowledge. Personal Attributes Proactive and commercially focused. Strong attention to detail with a hands-on approach. Ability to work effectively in a fast-paced operational environment . What's on Offer Competitive salary and benefits package. Opportunity to work within a dynamic FMCG environment . Strong exposure to operational and commercial finance . Flexible working arrangement after probation (4 days on-site / 1 day remote).
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Role Information: Job Title - Stores and Sub Assembly Supervisor Salary - Up to 30,000 DOE Location - Merthyr Tydfil South Wales Starting - September 2026 Why join Marshall Land Systems in this role: The Logistics & Sub Assembly Supervisor is responsible for overseeing the efficient day to day operation of warehouse, stores, logistics, and sub-assembly activities to support manufacturing and production operations. The role ensures accurate stock control, safe working practices, effective material flow, and high standards of assembly quality while supporting operational performance and continuous improvement initiatives. Working closely with Production, Engineering, and Supply Chain teams, the Supervisor leads operational activities to ensure materials and sub-assemblies are delivered safely, efficiently, and on schedule. Your responsibilities in this role include: Supervise day-to-day warehouse, stores, logistics, and sub-assembly operations to ensure efficiency, accuracy, and adherence to production schedules Coordinate the receipt, storage, movement, and distribution of materials, components, and finished goods across operational areas Lead and support sub-assembly activities in accordance with engineering drawings, work instructions, and quality standards Ensure stock levels are maintained accurately, monitoring material usage and supporting vending activity management Ensure all warehouse and sub-assembly activities are carried out in line with company Health & Safety procedures and safe working practices Maintain high standards of housekeeping, organisation, and 5S within warehouse and assembly environments Support inventory accuracy through stock control activities, cycle counts, and material traceability processes Ensure all activities comply with company procedures, processes, configuration control, and compliance requirements Support internal and external audits, ensuring operational areas, records, and documentation are audit ready Investigate and resolve operational or customer/business related issues in a timely and professional manner Monitor team workload, productivity, and operational priorities to support delivery targets and business objectives Coordinate with Production, Planning, Engineering, and Quality teams to resolve material shortages, non-conformances, or operational issues Support training, mentoring, and development of logistics and sub-assembly team members Identify and contribute to continuous improvement initiatives to improve efficiency, quality, and operational performance Ensure warehouse security and maintain appropriate access controls Maintain tools, equipment, and work areas in a safe, organised, and serviceable condition Support operational reporting activities, including KPIs, stock accuracy, and delivery performance metrics Apply if you have most of the following: Experience working within warehouse, stores, logistics, manufacturing, or production environments Previous supervisory or team leadership experience within an operational environment Experience with stock control, inventory management, and material handling processes Experience supporting assembly or sub-assembly activities within manufacturing environments Experience working within regulated or quality-controlled industry Experience using ERP, MRP, or warehouse management systems Technical skills/education Strong understanding of warehouse, logistics, and material flow processes Good organisational skills with the ability to prioritise operational activities effectively High attention to detail and accuracy Good communication and team leadership skills Ability to work collaboratively across multiple operational teams Basic IT skills including Microsoft Word and Excel Good numerical and problem-solving ability Understanding of Health & Safety requirements within warehouse and manufacturing environment Additional local needs: Full-time onsite working required Successful candidate will be required to complete a BPSS check Role may involve manual handling and movement of materials and assemblies The benefits of this role include: Opportunity to lead logistics and sub-assembly operations within a manufacturing Exposure to warehouse, production, and assembly activities within a regulated industry Development of leadership, operational, and technical skills Involvement in continuous improvement and operational excellence initiatives Opportunity to work collaboratively across multiple operational and engineering functions Experience within a fast-paced and quality-focused manufacturing environment Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
May 20, 2026
Full time
Role Information: Job Title - Stores and Sub Assembly Supervisor Salary - Up to 30,000 DOE Location - Merthyr Tydfil South Wales Starting - September 2026 Why join Marshall Land Systems in this role: The Logistics & Sub Assembly Supervisor is responsible for overseeing the efficient day to day operation of warehouse, stores, logistics, and sub-assembly activities to support manufacturing and production operations. The role ensures accurate stock control, safe working practices, effective material flow, and high standards of assembly quality while supporting operational performance and continuous improvement initiatives. Working closely with Production, Engineering, and Supply Chain teams, the Supervisor leads operational activities to ensure materials and sub-assemblies are delivered safely, efficiently, and on schedule. Your responsibilities in this role include: Supervise day-to-day warehouse, stores, logistics, and sub-assembly operations to ensure efficiency, accuracy, and adherence to production schedules Coordinate the receipt, storage, movement, and distribution of materials, components, and finished goods across operational areas Lead and support sub-assembly activities in accordance with engineering drawings, work instructions, and quality standards Ensure stock levels are maintained accurately, monitoring material usage and supporting vending activity management Ensure all warehouse and sub-assembly activities are carried out in line with company Health & Safety procedures and safe working practices Maintain high standards of housekeeping, organisation, and 5S within warehouse and assembly environments Support inventory accuracy through stock control activities, cycle counts, and material traceability processes Ensure all activities comply with company procedures, processes, configuration control, and compliance requirements Support internal and external audits, ensuring operational areas, records, and documentation are audit ready Investigate and resolve operational or customer/business related issues in a timely and professional manner Monitor team workload, productivity, and operational priorities to support delivery targets and business objectives Coordinate with Production, Planning, Engineering, and Quality teams to resolve material shortages, non-conformances, or operational issues Support training, mentoring, and development of logistics and sub-assembly team members Identify and contribute to continuous improvement initiatives to improve efficiency, quality, and operational performance Ensure warehouse security and maintain appropriate access controls Maintain tools, equipment, and work areas in a safe, organised, and serviceable condition Support operational reporting activities, including KPIs, stock accuracy, and delivery performance metrics Apply if you have most of the following: Experience working within warehouse, stores, logistics, manufacturing, or production environments Previous supervisory or team leadership experience within an operational environment Experience with stock control, inventory management, and material handling processes Experience supporting assembly or sub-assembly activities within manufacturing environments Experience working within regulated or quality-controlled industry Experience using ERP, MRP, or warehouse management systems Technical skills/education Strong understanding of warehouse, logistics, and material flow processes Good organisational skills with the ability to prioritise operational activities effectively High attention to detail and accuracy Good communication and team leadership skills Ability to work collaboratively across multiple operational teams Basic IT skills including Microsoft Word and Excel Good numerical and problem-solving ability Understanding of Health & Safety requirements within warehouse and manufacturing environment Additional local needs: Full-time onsite working required Successful candidate will be required to complete a BPSS check Role may involve manual handling and movement of materials and assemblies The benefits of this role include: Opportunity to lead logistics and sub-assembly operations within a manufacturing Exposure to warehouse, production, and assembly activities within a regulated industry Development of leadership, operational, and technical skills Involvement in continuous improvement and operational excellence initiatives Opportunity to work collaboratively across multiple operational and engineering functions Experience within a fast-paced and quality-focused manufacturing environment Marshall Land Systems is a Canadian-owned global company with an unrivalled pedigree of British engineering excellence. From its origins in Cambridge, UK, through more than a century of innovation, pioneering advances from the nose of Concorde to the early Hydrogen fuel cell technology that ultimately powered the moon landings, Marshall engineers now continue to innovate specialist vehicles and infrastructure for NATO forces across the world. From bomb disposal vehicles to deployed shelters, from command and control to CT scanners on the battlefield, Marshall Land Systems protects people in critical situations with the very best in engineering. It employs 600 people with major facilities the UK, Canada, and the Netherlands.
We are recruiting for a Pig Breeding Unit Manager for a farm in County Tyrone, BT78, Northern Ireland. Our client is an industry-leading pig production company, passionate about continuous improvement for both their pigs and their people. The Role: We are looking for a hands-on, performance-driven individual to manage a dedicated team. The successful candidate will be responsible for maintaining and improving the strong performance of the 780-sow indoor breeding unit, producing both 30kg and finished pigs. This modern, recently refurbished indoor farm features fully adaptive farrowing accommodation and automatic wet-feeding systems. This is an excellent opportunity for someone with proven leadership experience, a strong work ethic, and a commitment to high standards in animal welfare and production. Person specifications: Proven experience working with and managing livestock Strong motivation and a drive for continuous improvement Excellent team leadership and organisational skills Passion for farming and attention to detail Ability to work effectively in a fast-paced environment Competent IT skills, including the MS Excel package Salary guide: £40,000 - £48,000 DOE Attractive KPI-based bonus scheme 4-bed detached house Employer pension scheme 28 days annual leave On and off-farm training Career progression opportunities For further details, please call Roadhogs Recruitment Ltd. All applications are handled in strict confidence, and our applicant service is provided free of charge. However, not all job openings are listed on the website, so please consider sending your CV even if you don't see a suitable vacancy. Currently, we can only accept applications from UK or EU nationals with the right to work in the UK.
May 20, 2026
Full time
We are recruiting for a Pig Breeding Unit Manager for a farm in County Tyrone, BT78, Northern Ireland. Our client is an industry-leading pig production company, passionate about continuous improvement for both their pigs and their people. The Role: We are looking for a hands-on, performance-driven individual to manage a dedicated team. The successful candidate will be responsible for maintaining and improving the strong performance of the 780-sow indoor breeding unit, producing both 30kg and finished pigs. This modern, recently refurbished indoor farm features fully adaptive farrowing accommodation and automatic wet-feeding systems. This is an excellent opportunity for someone with proven leadership experience, a strong work ethic, and a commitment to high standards in animal welfare and production. Person specifications: Proven experience working with and managing livestock Strong motivation and a drive for continuous improvement Excellent team leadership and organisational skills Passion for farming and attention to detail Ability to work effectively in a fast-paced environment Competent IT skills, including the MS Excel package Salary guide: £40,000 - £48,000 DOE Attractive KPI-based bonus scheme 4-bed detached house Employer pension scheme 28 days annual leave On and off-farm training Career progression opportunities For further details, please call Roadhogs Recruitment Ltd. All applications are handled in strict confidence, and our applicant service is provided free of charge. However, not all job openings are listed on the website, so please consider sending your CV even if you don't see a suitable vacancy. Currently, we can only accept applications from UK or EU nationals with the right to work in the UK.
M-Tec Engineering Solutions are currently engaged in the recruitment of Operations Director/Plant Director for a client whom have manufacturing facilities across Europe and the UK. Based from their UK Manufacturing facility near the Cotswolds, the Operations Director will form part of the senior management team and have full responsibility for all operational activities to include, manufacturing, quality, process improvements, 5S, Waste Management and Continuous Improvements. Key Areas of responsibility will include: Provide leadership and direction for operations and continuous improvement, to take in to consideration any capital expenditure projects and budget management Management of plant manufacturing and production departments with responsibilities for site wide HSE Define strategic direction via corporate and local goals and objectives in line with the long term business strategic goals. Development of innovative solutions to process inefficiencies and process improvements to deliver on pre-defined budgeted savings including cost-avoidance, manufacturing improvement and the minimisation of waste. Refined KPI measurement techniques and reporting frameworks for multiple production processes to provide accurate data for review and improvement targeting. Key Target Ares will include: Develop improvement strategies to support and maintain plant efficiently and general house keeping, to include, 5S, 7W, Lean, Quality, Maintenance Planning Work closely with Process & Maintenance teams to ensure OEE/OTIF targets are achieved as well as PPM & TPM to ensure continuous production. Requirements: Our client is looking for someone with drive and determination, and energy to see projects through to successful completion, someone with previous P&L responsibility as the Operations Director will have autonomy for budget/cost responsibility Proven experience in the utilisation of LEAN manufacturing principles to minimise waste and increase efficiency. Ideally of degree calibre in Engineering or Manufacturing, you should be able to demonstrate working within a Plastic related industry sector, coupled with strong commercial and business awareness You should have proven experience in management of profit and loss and margin improvement, taking in to account cost management models and people development and empowerment. M-Tec Engineering Solutions is a leading supplier of Permanent, Interim and Project Management Recruitment Solutions to the Automotive and General Engineering sectors. Due to the overwhelming response to vacancies in this current climate, if you have not heard from us within the next two weeks you have been unsuccessful at this time.
May 20, 2026
Full time
M-Tec Engineering Solutions are currently engaged in the recruitment of Operations Director/Plant Director for a client whom have manufacturing facilities across Europe and the UK. Based from their UK Manufacturing facility near the Cotswolds, the Operations Director will form part of the senior management team and have full responsibility for all operational activities to include, manufacturing, quality, process improvements, 5S, Waste Management and Continuous Improvements. Key Areas of responsibility will include: Provide leadership and direction for operations and continuous improvement, to take in to consideration any capital expenditure projects and budget management Management of plant manufacturing and production departments with responsibilities for site wide HSE Define strategic direction via corporate and local goals and objectives in line with the long term business strategic goals. Development of innovative solutions to process inefficiencies and process improvements to deliver on pre-defined budgeted savings including cost-avoidance, manufacturing improvement and the minimisation of waste. Refined KPI measurement techniques and reporting frameworks for multiple production processes to provide accurate data for review and improvement targeting. Key Target Ares will include: Develop improvement strategies to support and maintain plant efficiently and general house keeping, to include, 5S, 7W, Lean, Quality, Maintenance Planning Work closely with Process & Maintenance teams to ensure OEE/OTIF targets are achieved as well as PPM & TPM to ensure continuous production. Requirements: Our client is looking for someone with drive and determination, and energy to see projects through to successful completion, someone with previous P&L responsibility as the Operations Director will have autonomy for budget/cost responsibility Proven experience in the utilisation of LEAN manufacturing principles to minimise waste and increase efficiency. Ideally of degree calibre in Engineering or Manufacturing, you should be able to demonstrate working within a Plastic related industry sector, coupled with strong commercial and business awareness You should have proven experience in management of profit and loss and margin improvement, taking in to account cost management models and people development and empowerment. M-Tec Engineering Solutions is a leading supplier of Permanent, Interim and Project Management Recruitment Solutions to the Automotive and General Engineering sectors. Due to the overwhelming response to vacancies in this current climate, if you have not heard from us within the next two weeks you have been unsuccessful at this time.
We are looking for a Senior Inspector to join our Aerospace & Defence composites engineering team. The role involves inspection and verification of composite materials, components, and assemblies to ensure full compliance with customer, regulatory, and quality standards. The successful candidate will have at least some experience in composite inspection methods, engineering drawings, and quality documentation within a high-specification manufacturing environment. Responsibilities include supporting production quality, identifying non-conformances, driving corrective actions, and mentoring junior inspectors. This position offers a clear development pathway for a motivated individual with the leadership capability and ambition to progress into a Chief Inspector role. Experience within aerospace, defence, or other highly regulated industries would be advantageous.
May 20, 2026
Full time
We are looking for a Senior Inspector to join our Aerospace & Defence composites engineering team. The role involves inspection and verification of composite materials, components, and assemblies to ensure full compliance with customer, regulatory, and quality standards. The successful candidate will have at least some experience in composite inspection methods, engineering drawings, and quality documentation within a high-specification manufacturing environment. Responsibilities include supporting production quality, identifying non-conformances, driving corrective actions, and mentoring junior inspectors. This position offers a clear development pathway for a motivated individual with the leadership capability and ambition to progress into a Chief Inspector role. Experience within aerospace, defence, or other highly regulated industries would be advantageous.
Job Title: IT/OT Manager Location: Chester (site-based) Contract Length: 6 Months Determination: Inside IR35 We're recruiting an IT/OT Manager to lead all IT and Operational Technology activities for a busy manufacturing site, ensuring business continuity and driving enhancements that improve production capability. You'll be the primary IT/OT point of contact for the plant, partnering closely with the Site Leadership Team and engineering stakeholders to capture demand, build a prioritised roadmap, and provide clear governance, reporting, and transparency on progress, risks and mitigations. You'll oversee local IT/OT infrastructure, cybersecurity, process control/automation and manufacturing systems, managing internal teams and third-party partners while ensuring services align to agreed SLAs and KPIs. You'll also lead or coordinate a portfolio of projects end to end scope, planning, budget (OPEX/CAPEX), delivery, change management, go-live and transition into support. Requirements: Strong manufacturing IT/OT experience (e.g., MES/LIMS/Quality/EHS) Solid infrastructure and security understanding, including knowledge of GxP and/or GAMP Proven stakeholder management experience Experience leading teams and managing external partners If you are intrested in this role, please apply today! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 20, 2026
Contractor
Job Title: IT/OT Manager Location: Chester (site-based) Contract Length: 6 Months Determination: Inside IR35 We're recruiting an IT/OT Manager to lead all IT and Operational Technology activities for a busy manufacturing site, ensuring business continuity and driving enhancements that improve production capability. You'll be the primary IT/OT point of contact for the plant, partnering closely with the Site Leadership Team and engineering stakeholders to capture demand, build a prioritised roadmap, and provide clear governance, reporting, and transparency on progress, risks and mitigations. You'll oversee local IT/OT infrastructure, cybersecurity, process control/automation and manufacturing systems, managing internal teams and third-party partners while ensuring services align to agreed SLAs and KPIs. You'll also lead or coordinate a portfolio of projects end to end scope, planning, budget (OPEX/CAPEX), delivery, change management, go-live and transition into support. Requirements: Strong manufacturing IT/OT experience (e.g., MES/LIMS/Quality/EHS) Solid infrastructure and security understanding, including knowledge of GxP and/or GAMP Proven stakeholder management experience Experience leading teams and managing external partners If you are intrested in this role, please apply today! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
A permanent Plant Accountant job paying up to £45k for a manufacturing business in Worcester. Job Type: Permanent Salary: £40,000-£45,000 per annum (plus bonus) Location: Worcester: Hours: Mon-Thurs (8-4.30) and Fri (8-3) Your new company Hays are delighted to be working exclusively with a global manufacturing organisation based in Worcester as they look to recruit a Plant Accountant on a permanent basis due to upcoming retirement. Over the years, our client has grown at a rapid pace through innovation, acquisition and overseas investment to become a world leader in their field. Your new role Working as part of a small factory finance team, you will be responsible for cost accounting, inventory valuation, variance analysis and financial reporting. You will work closely with the Operations Controller and wider teams to support accurate reporting of financial performance and enhance operational efficiencies. Main duties: Provide effective performance reporting with commentary to management Establish and update standard costs for materials, labour and overheads Partner with production and other departments on a regular basis Manage Capex and provide support for other facilities in the region Manage the ongoing process for inventory provisions and the disposal/write off of obsolete stock Support the annual budget process and conduct regular departmental reviews throughout the year Support continuous improvement through evaluation of processes, procedures and controls Support internal and external audit processes What you'll need to succeed AAT and/or CIMA qualified Minimum of 3 years' experience in a similar finance role Manufacturing background with a strong understanding of labour, materials and stock etc. Possess a 'sleeves rolled up approach' with a willingness to get stuck in Strong data analysis/manipulation skills Excellent working knowledge of Excel and mainstream ERP systems What you'll get in return In return, you will receive a salary of up to £45,000 per annum and the chance to join a reputable and forward-thinking organisation that boasts a collaborative working culture and puts their employees at the heart of what they do. Additional benefits include an annual bonus scheme, 25 days holiday (plus Bank Holidays), pension (matched up to 8%), private health/dental care and life insurance. Due to the nature of the role, you will be comfortable working from the office 5 days a week. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
May 20, 2026
Full time
A permanent Plant Accountant job paying up to £45k for a manufacturing business in Worcester. Job Type: Permanent Salary: £40,000-£45,000 per annum (plus bonus) Location: Worcester: Hours: Mon-Thurs (8-4.30) and Fri (8-3) Your new company Hays are delighted to be working exclusively with a global manufacturing organisation based in Worcester as they look to recruit a Plant Accountant on a permanent basis due to upcoming retirement. Over the years, our client has grown at a rapid pace through innovation, acquisition and overseas investment to become a world leader in their field. Your new role Working as part of a small factory finance team, you will be responsible for cost accounting, inventory valuation, variance analysis and financial reporting. You will work closely with the Operations Controller and wider teams to support accurate reporting of financial performance and enhance operational efficiencies. Main duties: Provide effective performance reporting with commentary to management Establish and update standard costs for materials, labour and overheads Partner with production and other departments on a regular basis Manage Capex and provide support for other facilities in the region Manage the ongoing process for inventory provisions and the disposal/write off of obsolete stock Support the annual budget process and conduct regular departmental reviews throughout the year Support continuous improvement through evaluation of processes, procedures and controls Support internal and external audit processes What you'll need to succeed AAT and/or CIMA qualified Minimum of 3 years' experience in a similar finance role Manufacturing background with a strong understanding of labour, materials and stock etc. Possess a 'sleeves rolled up approach' with a willingness to get stuck in Strong data analysis/manipulation skills Excellent working knowledge of Excel and mainstream ERP systems What you'll get in return In return, you will receive a salary of up to £45,000 per annum and the chance to join a reputable and forward-thinking organisation that boasts a collaborative working culture and puts their employees at the heart of what they do. Additional benefits include an annual bonus scheme, 25 days holiday (plus Bank Holidays), pension (matched up to 8%), private health/dental care and life insurance. Due to the nature of the role, you will be comfortable working from the office 5 days a week. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 20, 2026
Full time
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 : 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 We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
