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

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

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

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

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

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

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

Data DevOps Engineer Are you passionate about building scalable, reliable data infrastructure in the cloud? Join our innovative team as a Data DevOps Engineer and play a pivotal role in transforming how data powers decision-making and operational excellence. This is your chance to work at the forefront of cloud-native data architecture, ensuring seamless deployment, management, and optimization of large-scale analytics solutions that drive impactful insights and business growth. Compensation: £85,000 p/a Work Model: 3 days on site per week in Watford What You'll Do: • Design, implement, and maintain AWS-based data infrastructure leveraging Redshift, S3, EMR, and other cloud services., • Develop and oversee CI/CD pipelines for ETL processes and Power BI deployments, ensuring rapid, error-free code releases., • Automate environment provisioning and data workflows using Terraform, Docker, Kubernetes, Python, and other automation tools., • Manage data provisioning workflows, environment freshness, and synchronization across development, testing, and production stages., • Optimize data pipelines for performance, resource utilization, and cost efficiency while ensuring high reliability and scalability., • Establish observability frameworks with CloudWatch, Grafana, or Datadog for proactive monitoring and troubleshooting., • Collaborate with cross-functional teams to enhance deployment strategies, resolve technical issues, and implement best practices in security, compliance, and governance., • Extensive experience with AWS cloud services (Redshift, S3, Lambda, EMR, CloudFormation/Terraform)., • Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or similar., • Strong scripting skills in Python for automation, logging, and observability integrations., • Expertise in SQL, especially Redshift, and in managing large-scale data processing frameworks like Spark and EMR., • Hands-on experience with containerization (Docker, Kubernetes)., • Professional certifications such as AWS Certified Solutions Architect and AWS Certified DevOps Engineer are highly desirable., • Deep understanding of environment management, code promotion, deployment pipelines, and release management., • Experience with Power BI, DAX, and data modeling for optimized reporting., • Knowledge of big data orchestration tools like Apache Airflow., • Previous exposure to regulated environments such as finance, healthcare, or gaming., • Bachelor’s or Master’s degree in Computer Science, Data Analytics, or related field., • Ability to work within an agile team, managing multiple deliverables simultaneously., • Strong troubleshooting skills and the ability to diagnose complex cloud-based issues.

Are you an Electrical Engineer with a passion for precision and a knack for problem-solving? Join a dynamic engineering team at the forefront of industrial energy solutions, where innovation meets real-world impact. We’re on the hunt for a practical, hands-on Electrical Engineer to take charge of the electrical and control aspects of exciting industrial projects—from design to delivery. Based in Borehamwood, you’ll work across departments to bring complex systems to life, supporting everything from circuit design to commissioning. What You’ll Be Doing: • Designing control circuits, wiring diagrams, and panel layouts, • Collaborating with engineering, production, and service teams, • Supporting commissioning and troubleshooting with real-time solutions, • Preparing technical documentation and manuals, • HNC/HND or Degree in Electrical Engineering (or equivalent experience), • Experience with AutoCAD and ideally EPLAN or SEE Electrical, • Familiarity with high-temperature process systems or similar industrial applications, • Strong communication skills and a team-first mindset You’ll be part of a company that’s helping shape the future of industrial energy—working on meaningful projects with a supportive, expert team. If you're ready to take your engineering career to the next level, we want to hear from you.

Senior Systems Engineer Location: North London Sector: Advanced Defence & Maritime Systems Security Clearance: Must be eligible for UK Security Clearance Overview We are supporting a leading UK engineering organisation operating at the forefront of advanced sensing, navigation and mission-critical systems for defence and maritime platforms. Due to continued growth, they are seeking a Senior Systems Engineer to play a key role across the full systems lifecycle, from concept through to in-service support. This is an excellent opportunity for an experienced Systems Engineer who enjoys working across multidisciplinary teams and contributing to complex, high-integrity products deployed in demanding operational environments. The Role As a Senior Systems Engineer, you will be responsible for the design, integration, verification and delivery of complex electro-mechanical and software-driven systems. You will: • Lead systems engineering activities across the full product lifecycle (concept, development, production and support), • Support system architecture definition, requirements capture and decomposition, • Oversee integration, verification and validation activities, • Work closely with software, electrical and mechanical engineering teams, • Contribute to technical proposals, bids and customer documentation, • Interface directly with customers and external stakeholders, • Mentor and support junior engineers, • Deliver engineering work packages to agreed time, cost and quality targets, • Support external test houses and verification to industry and defence standards The role is primarily based in North London, with some travel required depending on project needs. Essential Requirements • Degree qualified in Engineering, Mathematics or Physics (or equivalent experience), • Proven experience in systems design, integration and test, • Strong understanding of systems engineering principles and product lifecycles, • Broad engineering awareness across software, mechanical and electrical disciplines, • Experience producing high-quality technical documentation, specifications and reports, • Strong stakeholder communication skills, both internal and external, • Ability to work autonomously and lead technical activities, • UK Driving Licence, • Eligible for UK Security Clearance Desirable Experience While not essential, experience in the following areas would be advantageous: • Radar, radio or RF-based systems, • Naval or maritime platform integration, • Navigation or mission systems, • Defence or high-integrity regulated environments, • Communications protocols (e.g. RS232, RS485, TCP/IP, CANBus), • External verification to recognised standards (MIL-STD, Def Stan, IEC etc.), • EMC, ESD and electronics environments, • Circuit-level fault finding and use of lab test equipment (oscilloscopes, spectrum analysers, multimeters), • Bid proposal compilation, • Leadership of multi-disciplinary engineering teams, • Membership of a professional engineering institution (IET, IMechE, INCOSE etc.) Personal Attributes • Proactive and self-motivated, • Strong problem-solving ability and attention to detail, • Confident in customer-facing situations, • Adaptable and comfortable working across multiple projects, • Strong presentation and time management skills, • Collaborative team player with mentoring capability, • Enthusiastic about new technologies and continuous improvement What’s on Offer • Competitive salary and benefits package, • Flexible working arrangements to support work-life balance, • Structured onboarding and ongoing professional development, • Modern engineering facilities and collaborative technical environment, • Health and wellbeing initiatives, • Commitment to sustainability and responsible business practices

This is an excellent opportunity to join an outstanding company that provides cutting edge solutions to the telecoms, automotive and logistic industries. Our client is a XXmillion turnover business with decades of successful product innovation and growing sales. They require a Principal Software Engineer / backend developer with significant .NET and Azure knowledge, who won;t be fazed by any problems when facing into the unknown. Any ticket on the backlog you are expected to be able to pick up and implement in a timely way that meets or exceeds the quality expectations, standards and business value goals. This is a permanent role with a hybrid working structure (3 days a week in the office). The role is based close to Watford. The Role: Software Engineers are responsible for engineering all of the systems, products and services. This means being responsible for the software design, code implementation, test coverage and operation of effective software and supporting toolsets within specific business and technology domains. The role holder spends their time Exploring, Investigating, Developing, Enhancing and sometimes Decommissioning our provided Tools, Product and Services all with the aim of delivering the backlog, roadmap and overall corporate strategy with their success being measured by outcome value achieved and alignment to the agreed priorities. This involves translating requirements into quality (meet required metrics) technical solutions then creating code for products and services adhering to our engineering standards that’s maintainable, supportable and with minimal risk to operate and able to be deployed safely into a production environment for use by customers and colleagues. The Principal Software Engineer is the top of the Individual Contributor within the engineering track and as such ensure software deliverables meet quality standards and are delivered effectively. They are the go-to person within their Centre of Excellence for tricky implementations; any problem should be easily resolvable by a Principal Engineer. They intimately know the design, topology, methodology and wellbeing of their centre of excellence and can help, guide and support all other engineers on achieving successful outcomes. Key to being successful is being responsible for creating a diverse, inclusive, and welcoming environment. Key Responsibilities: People  Leadership of the engineering change within their centre of excellence able to guide and support other software engineers in problem solving, code implementation issues and related challenges.  Able to work in close partnership with others – Heads of Engineering, Solution Architect, Technical Programme Manager and Leads to help to shape the engineering approaches, share knowledge and their experience.  Able to influence colleagues in a range of different approaches to solve problems to gain wider or better results and/or drive bigger benefits.  Able to review code output and make constructive suggestions for future improvements.  Represent the company externally at conferences, panels and industry events to ensure it is viewed as the leading innovator within the engineering / signalling industry.  Act as a thought leader – the principal point of contact for expertise on software issues, industry trends on developing technologies within their Centre of Excellence and seen as a role model, exemplar of demonstrating company values. Process  Accountable for resolving technical conflict when it arises able to balance a range of different viewpoints and perspectives then apply their domain knowledge to provide guidance and support to their Engineering Lead when making decisions.  Guiding and developing, senior, mid-weight and associate team members through general guidance on best practices in order to ensure the development of world-class software.  Can take any task from the backlog and can shape, then break them down into defined, implementable tasks/subtasks that align to company Technology Standards and meet the Definition of Done/Story/Epic’s Acceptance Criteria.  Routinely pairs with others along with reviewing and giving constructive feedback on others’ code.  Review and writes tests using automated test-driven techniques to ensure code quality and future reliability.  Provide frequent and accurate updates on ticket progress, expected timelines, work level outstanding, dependencies, risks, issues and duration spent to Delivery Programme Managers.  Is accountable for documentation accuracy and writes, updates and reviews all domain documentation.  Comfortable to contribute in group discussions/workshops on design and technical models, articulating contexts and boundaries and the rationale behind them, shaping the wider application landscape and identifying risks.  Lead troubleshooting and resolution of issues throughout the product life cycle, including providing out-of-hours support for incident resolution and performing root cause analysis. Technology  Skilled with full understanding of the systems delivered, technologies utilised, and approaches taken within their domain (Centre of Excellence).  Has understanding and can provide context on historical choices and can rationalise and validate future decisions along with highlighting risks or areas that now require re-engineering.  Work closely with Product to understand and translate roadmap items and needs into improvements in the domain, translating requirements into tasks and code and developing high-quality code that can lead to rapid delivery. This includes owning the scope, shape and prototyping aspects of technical implementations.  Apply in-depth knowledge of multiple programming languages, associated frameworks, and the respective tool ecosystem to create elegant solutions to problems.  Adopt new languages and new paradigms and produce proof of concepts to evaluate new tools, applying them to the problem domain where they deliver significant benefit.  Continually learning and maintaining knowledge of the industry and competitor developments. Ideal Experience and Knowledge Sought:  Demonstratable experience designing, and building distributed systems, for scalability, availability and performance and running whole system landscapes.  Experience acting as a technical authority within a domain that uses multiple technologies.  A pragmatics and viable track record of delivering large-scale, well architected complex solutions at pace.  Confidently and competently share knowledge to other users, customers, and other team members.  Strong understanding of running production systems in a secure, reliable and performant way.  Experience in building, deploying, and managing modern applications in cloud computing environments (Cloud native) is essential.

Proven experience in a senior quality or quality engineering role within manufacturing (chemical industry preferred). Our client, a well-established chemical manufacturer, is seeking a Senior Quality Engineer to lead and drive quality performance across their production operation. Manage and support

Production Technician / Production Technician Engineer (Workshop Upholsterer – Covers & Upholstery) 📍 Watford 💰 £25k – £35k (DOE) 🕒 37. F4C5; Target start April (flexible for the right person) Trusted Recruiter is proud to be supporting a specialist

Global organisation in Watford is seeking a hands-on Lead Data Engineer to review and modernise their data engineering practice. Ensure secure, scalable, production-ready engineering. Experience in data engineering, including strong expertise in Azure Synapse.

The Coffee Engineer is responsible for maintaining, servicing, and optimising coffee brewing and production equipment, ensuring exceptional product quality, equipment reliability, and operational efficiency. Proven experience servicing or maintaining commercial coffee equipment (bean-to-cup, espress

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A pioneering music tech company in the UK seeks a Senior Audio Systems Engineer to innovate in audio systems for on-demand vinyl production. In this hands-on role, you will lead the architecture and delivery of large-scale audio systems while ensuring zero-downtime operations. The ideal candidate ha

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A leading engineering firm in the UK is seeking a Production Engineer to support the integration of design and manufacturing processes. The ideal candidate will possess a HNC/HND qualification and experience in high-tech engineering settings.

This night shift role involves ensuring the seamless operation of manufacturing processes, performing preventative maintenance, troubleshooting machinery, and collaborating with R&D and production teams.

A technology disruptor in the music industry is seeking a Maintenance Engineer to oversee the operation of vinyl manufacturing machinery. The role includes troubleshooting, maintenance, and collaboration with software and hardware teams to ensure optimal production efficiency.

Were looking for a Principal Materials Engineer with a strong non-metallic materials engineering background, to join our materials and test team to support the production and development of next generation composite aero structures, ice protection and transparency products. The role as a Principal M

Were looking for a Senior Engineer - Materials & Processes with a strong non-metallic materials engineering background, to join our materials and test team to support the production and development of next generation composite aero structures, ice protection and transparency products. The role as a

The production engineer role involves seeing engineering projects through from start to finish and will include programming of CNC machines, prove-outs, setting and trouble shooting. To bring the person up to the level of senior production engineer if they are not already at that level. Must have an

Production Engineer, Manufacturing Engineer, Process Engineer and related job titles encouraged to apply. Excellent opportunity for a Production Engineer to join a specialist engineering company during an exciting period of growth, playing a key role in delivering high-value projects from bid phase

My client designs and manufactures a range of electro-mechanical products, and they are looking to take on a Production Engineer, on a permanent basis, in the Bristol area. The Production Engineer will ideally have the following attributes:. HNC / HND / NVQ / BSc / BEng qualification ideally or simi

Proven experience as a Site or Maintenance Engineer in manufacturing or food production. This role is critical to ensuring production equipment and site services operate safely, reliably, and efficiently in a BRCGS-regulated environment. You'll take ownership of maintenance, breakdown response, and

Junior Systems/Production Engineer. A strong interest in either electrical design, mechanical engineering or IT. We are looking for a Junior Systems Engineer to bolster our team.

Mechanical Maintenance Engineer (Facilities/Production). Are you a hands-on Mechanical Maintenance Engineer, looking for a stable and long-term role within a close-knit and well-established manufacturing business, that offers great work life balance through an early finish Friday and a generous holi

Requirements 2+ years of experience in production engineering, process engineering, or manufacturing support. We are seeking a Production Engineer to support and optimise manufacturing processes in an electromechanical production environment in Enfield. Responsibilities Develop, implement, and opt

A long-standing, industry-secure engineering business is seeking an experienced and enthusiastic Production Engineer to join their team in Ruislip. As a Production Engineer, you'll be responsible for programming, setting, and operating advanced 3-5 axis CNC machining centres. Apprentice trained or r

Working within a well-established engineering team, the role will involve supporting a wide range of production processes, site services, and facilities, as well as contributing to new equipment installations and improvement projects. A fantastic opportunity has arisen for a Multi-Skilled Maintenanc

Resolving day to day production engineering challenges. You will move between structured engineering project work and practical engagement with production teams. We are seeking an experienced Production Engineer to strengthen and evolve our manufacturing capability.

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We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training.

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We bring together Swedish heritage and British expertise to drive innovation in areas such as software engineering, underwater robotics, radars, AI, and armed forces training.

Location: Head Office (Wokingham UK)Department: EngineeringJob Type: Full timeContract Type: PermanentAn exciting opportunity has arisen for a Lead Production Support Engineer to join our thriving UK medical manufacturing company to work within our expanding Engineering Department. We are looking to

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At Prodrive we believe there's no limit to what can be achieved when the brightest minds come together.Joining one focused and driven team, you will challenge boundaries in order to change the game for our customers.We are the world's leading independent motorsport company and the business behind so

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