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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.

A multidisciplinary consultancy in South East London are looking for a Senior or Associate Building Surveyor to join their team. This is a great opportunity to work on a diverse range of projects, primarily within social and affordable housing development, including both new build and refurbishment schemes, with occasional projects in the education and commercial sectors. About the Role: You will b... ZIPC1_UKTJ

Company description: GXO Logistics Supply Chain Inc. Job description: Are you a skilled Class 2 (Cat C) Driver searching for a reliable, long-term role? Do you enjoy being out on the road and making customers smile with every delivery? If you're ready to join a team that values your expertise, wed love to hear from you! Here at GXO, were working together with B&Q and are looking for highly experienced... ZIPC1_UKTJ

Company description: GXO Logistics Supply Chain Inc. Job description: Are you an experienced Class 2 (Cat C) Driver with a brick grab lorry loader licence? Do you have the drive to deliver happiness to customers doorstep, one B&Q product at the time? Are you an organised, friendly and approachable person? If youre shouting yes!, then this is the perfect role for you! Here at GXO, were working together... ZIPC1_UKTJ

An established fire safety firm is seeking a Graduate Fire Engineer to join their expanding team in South London. This is a unique opportunity for a proactive, fast learner looking to develop quickly as a Graduate Fire Engineer through a mix of hands-on site work and technical office-based tasks, guided by experienced professionals. For the right candidate, there is also the potential to be supported through a recognised fire engineering degree as part of their long-term development. Ideal for someone who learns by doing, the Graduate Fire Engineer will be immersed in real-world fire safety challenges from the outset. A pragmatic, solutions-driven attitude is essential-this isn't a role for those who prefer a purely theoretical or prescriptive approach. The Graduate Fire Engineer's RoleThe Graduate Fire Engineer's responsibilities will include assisting with fire strategy reports, conducting compartmentation surveys to Bluesky standards, and supporting with heat release calculations. The role is evenly split between site visits and office-based responsibilities, giving the successful candidate a strong foundation across both compliance and design. The Graduate Fire Engineer • A degree in an Engineering field or technical subject is desirable, • A proactive, hands-on approach with a strong desire to learn, • Understanding of ADB Vols 1 & 2 is highly advantageous (or at least a high willingness to develop this understanding quickly), • Experience in passive fire protection and/or fire risk assessments is welcomed, • Clear communicator with a practical mindset and interest in fire safety, • Salary of £33,000 - £42,000, depending on skillset and experience, • Involvement in live projects from day one, • Site-based learning to complement technical development, • Supportive team environment focused on mentoring and progression Reference #SM1032 Graduate Fire Engineer / Fire Engineering / Fire Strategy / ADB / Approved Document B / BS 9999 / BS 9991 / IFE / Fire Strategy Design / Building Safety Act / Fire Safety Compliance / Fire Safety Consultancy / Fire Risk Management

Building Regulations Compliance Lead 📍 London & South East 📄 Contract | Main Contractor | Residential & Mixed-Use ⏱ Project-Based / Immediate Requirement We are engaging a Building Safety Principal Designer on a contract basis to support live residential and mixed-use schemes for a UK main contractor operating across London and the South East. This is a delivery-embedded role, supporting active construction projects rather than a consultancy or policy function. You will work directly with technical and site teams to manage Building Regulations compliance, reduce risk, and maintain programme certainty. Scope of the Role You will be responsible for: • Operating as Building Safety Principal Designer under the Building Regulations on live projects, • Managing compliance across Parts A, B, L, M and Q, • Coordinating architectural, engineering, and subcontractor design inputs, • Managing compliance through design changes, value engineering, and late-stage revisions, • Acting as the key interface with Building Control bodies and fire authorities, • Translating regulatory requirements into practical, buildable site solutions What We’re Looking For • Demonstrable experience acting in a Building Safety or Building Regulations PD capacity, • Background in a main contractor or design-and-build environment, • Strong understanding of how compliance risk develops during construction, • Confident engaging with both design teams and site management, • Comfortable challenging design assumptions when required Typical Contractor Backgrounds • Design Manager or Technical Manager (contractor-side), • Architectural Technologist or Architect with site exposure, • Building Control Surveyor with live project involvement, • Compliance or Building Safety Lead embedded within delivery teams Contract Details • Competitive day rate, aligned to experience, • Flexible contract duration, project-driven, • Well-run residential and mixed-use schemes, • A role where your judgement directly influences delivery and risk management 📩 Interested? Apply with your CV or contact us for a confidential contract discussion.

Camp Administrator - Summer - Croydon, London. Support additional camp activities, including Skills Builder sessions (where required) and swimming sessions – you’ll need to bring swimwear and a spare t-shirt will be available at camp. The Camp Administrator supports the smooth running of camp b

This could include web analytics, customer data management, consent management, personalisation, and digital marketing. The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising b

Waites Recruitment Consultancy are seeking an experience Design and Build Quantity Surveyor (QS) for a client based in Mitcham in Surrey on a full time basis.Great opportunity with lots of room for career progression.The requirement is very specific: • Strong residential D&B contractor backgro

We're currently recruiting a passionate Cook to bring the flavour to Eurest on a part time basis, contracted to 10 hours per week. As a Cook, you will support our talented culinary teams in preparing and serving the delicious food we're known for! You'll help to keep our clients and customers smilin

Are you passionate about wellness and customer service? Do you have a talent for leading a team to deliver exceptional experiences?.If so, Bannatyne's luxurious spa invites you to join our team as an Assistant Spa Manager!.B-fed - complimentary lunch or breakfast.Complimentary gym membership for ano

Your practice owner journey starts here. Are you ready to take the next step in your veterinary career? Realise your ownership ambitions with Vets for Pets practice ownership. Part of the Pets Group, which includes Pets at Home and Pets Grooming, Vets for Pets is one of the UK’s largest veterinary groups, with a national network of over 450 locally owned, locally operated practices. Our practice ownership model is open to entrepreneurial veterinary professionals looking to take the next step in their career and become a Practice Owner. The Vets for Pets ownership model builds value for practice owners in many ways. It supercharges your start-up with instant brand recognition , access to over 8 million Pets Club customers to help build your client base – and a salary from day one. You’ll also be part of a 600-strong practice owner community , with expert teams to support you both professionally and personally. And don’t forget, only the Vets for Pets partnership model will allow you to: Earn 100% of your future practice profits Own 100% of the goodwill and asset value when the time comes to sell Complete clinical and operational autonomy to run your practice, your way. For many people, the first step in their journey to becoming a Practice Owner is an informal, confidential chat with one of our partnerships team to learn more about our model and discuss if practice ownership is the right next step for you. Interested to find out more and explore practice ownership with Vets for Pets? Contact the team today here: Our team will answer any questions you have and, when you're ready , discuss suitable practice locations and walk you through the next step – business planning. Our finance and partnership sales team will work with you to create your business plan for your chosen practice. But don’t just take our word for it, hear from Vets for Pets practice owners on their thoughts about our model and read about their journeys to ownership with us.

Factory Site Supervisor (Engineering Manager)Beckenham£40,000 to £45,000 + 46 Hour Week + No Qualifications Required + 1pm Finish on Friday and Saturday + Work Life Balance + Leadership Training + 1. Overtime Pay

A forward-thinking entertainment organization is seeking a CRM Executive to support CRM campaigns.The role involves optimizing customer acquisition and retention strategies within a hybrid work environment.Ideal candidates should have experience in CRM and knowledge of A/B testing.Benefits include h

Job Title: Chef Manager Secondary School Location: Peckham Road, SE15 Contract: 39 weeks per year Hours: 7:00am 3:30pm Salary: £28,000 per annum Role Overview We are looking for a motivated and hands-on Chef Manager to lead a small, well-structured catering operation within a secondary school environment. This role would suit an experienced Primary School Catering Manager ready to step up, though candidates from a B&I (Business & Industry) background will also be considered. This is a manageable, lower-volume site with a strong opportunity to develop leadership and operational skills. Site Overview Small site operation Approximately 150 meals per day Daily turnover of around £900 Around 500 students onsite Team Structure Chef Manager (You) 5 x General Assistants Key Responsibilities Manage the day-to-day catering operation on site Deliver consistent, high-quality food and service Lead, support, and develop a small catering team Maintain food safety, health & safety, and hygiene standards Manage ordering, stock control, and wastage Ensure service runs smoothly and efficiently Build positive relationships with site stakeholders Key Skills & Experience Experience in a school catering or similar food service environment Ready to step up into a Chef Manager role (primary experience welcome) B&I catering experience also considered Good organisational and communication skills Comfortable managing a small team and service Sound understanding of food safety and compliance What Were Looking For Hands-on and reliable manager Confident in running a small operation independently Keen to develop and grow within a Chef Manager role Passionate about delivering quality food and service TPBN1_UKCT

Job Title : Male Membercare Assistant Hours : 16 hours per week Rate of Pay : £12.40 per hour Location : Orpington Bannatyne is renowned for providing exceptional fitness and wellness experiences across the UK. We are committed to maintaining the highest standards of cleanliness and hygiene to ensure our members have a safe and welcoming environment. We are currently looking for a dedicated and detail-oriented Membercare Assistant to join our team! Our Perks: B-Fed - complimentary lunch or breakfast. Flexible schedule. 28 days annual leave increases with tenure. Free gym membership. Complimentary gym membership for another person (after 2 years service). Discounted Spa Treatments - 30% Discounted Spa Goods - 20% ELEMIS Products. Discounted Meals and Beverages - 50% cafe/bar. Career & Personal Development training. Mental Health, Well-Being and EAP Services. Length of Service Awards. Staff Awards and Bonuses. Discounted entertainment and shopping. A typical day in the life of a Membercare Assistant: Perform thorough cleaning of all areas, including changing rooms, showers, toilets and all poolside facilities. Ensure that all gym equipment, floors and surfaces are cleaned and sanitised regularly. Empty trash bins, replace liners and ensure waste is disposed of properly. Alongside maintaining the outdoor space, litter pics/binstores etc. Follow all health and safety regulations to ensure a safe environment for members and staff. Use cleaning chemicals and equipment according to safety guidelines and procedures. Report any maintenance issues, hazards or potential safety concerns to the Maintenance Supervisor. Provide a friendly and approachable service to members, addressing any cleaning-related inquiries or requests promptly and courteously. Maintain a professional demeanour and uphold the club's reputation for excellent customer service. Monitor cleaning supplies and equipment, ensuring adequate stock. Basic maintenance where skills permit such as changing bulbs etc. Work closely with other cleaning staff and club employees to ensure all areas are maintained to the highest standards. Participate in team meetings and training sessions as required. What we are looking for: Previous experience in domestic/cleaning roles. Strong attention to detail and thoroughness in cleaning tasks. Good time management and organisational skills. Ability to follow instructions and work independently. Have strong interpersonal and communications skills and a customer focused attitude. A genuine passion for health, wellness and customer service. The ability to establish rapport, build trust and demonstrate credibility. Physical capability to perform cleaning tasks that involve standing, walking, bending, lifting and using cleaning equipment. Ability to work flexible hours, including weekends and holidays. Hours can be 5.30am starts to 10.30pm finishes. It would be desirable if you had basic knowledge of cleaning chemicals and equipment. Why Bannatyne? At Bannatyne, we are dedicated to creating a positive and inclusive work environment where our team members can thrive. As a Membercare Assistant , you will play a vital role in maintaining the high standards our members expect. We offer competitive compensation, ongoing training and a supportive team culture. If you are a meticulous and hardworking individual who takes pride in their work, and is committed to delivering exceptional service, we want to hear from you. Join us at Bannatyne, where your passion for fitness will inspire and transform lives! TPBN1_UKCT

Working alongside a dedicated team of Research Fellows and playing an integral role in service delivery, the successful candidates will enjoy a multitude of research opportunities and be expected to produce high-quality research for peer-reviewed publication and national/international meeting presen

Our internal engagement programme ensures staff voices are heard, and they remain informed about Council activities and events. Veterans/family of forces/ex-forces, those in care/care leavers, and candidates who declare disabilities (as defined by the Equality Act 2010) will be guaranteed interview

You’ll explore Freecash’s list of available earning opportunities - such as mobile games, surveys and special offers - and choose the ones you want to complete. Wide range of tasks: games, surveys and offer-based activities. Multiple cash-out options: PayPal, gift cards and bank transfers.

Here, you can choose from a range of fitness, lifestyle, health and fitness wellbeing rewards, such as free gym membership, health assessments, retail discounts and pension options. You're good with computers, handling money, building relationships and communication. Motivate members and advise on t

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. Lesson plans, resources and o

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. We can support you with acces

As a Multi Site General Manager at our Chester and Liverpool Gym, you'll brings a good understanding of brands and you'll relish the opportunity to develop ours in the local market. Inspire and motivate our teams to keep on making sales and improving customer satisfaction. With high levels of drive

Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Looking for a new career with

Here, you can choose from a range of fitness, lifestyle, health and fitness wellbeing rewards, such as free gym membership, health assessments, retail discounts and pension options. As an Academy Physiologist at our club, you'll bring a minimum 2:2 Sport and Exercise Science degree or equivalent. Su

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. We can support you with acces

Click to sign up and complete your registration process. Once approved, download the app and get started. You decide how much or little you want to deliver and earn.

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. Lesson plans, resources and o

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. In-car coaching to build driv

You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. Flexible online learning for

Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. We’ll train you from th

Submit your details today and our team will contact you to explain the training route, timescales and how quickly you can get started. You’ll help learners gain independence, improve road safety, and experience the satisfaction of seeing students pass and succeed. Ford Puma, Renault Clio, MG3

Responsibilities: • Maintain and manage health and safety polices, safety training and document control systems • Maintain, update and create standard operating procedures and assist in the implementation of continuous improvement safety projects • Ensure all health & safety policies, procedur