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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.

About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. A key part of this is using Operational Research techniques to optimise automated processes and to support decision making. Our work spans across multiple areas including physical stores, online, supply chain, and last mile delivery. This requires our Data Scientists to have an advanced understanding of advanced exact, heuristic, or metaheuristic algorithms and statistics. The team itself is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! • Annual bonus scheme of up to 10% of base salary, • Holiday starting at 25 days plus a personal day (plus Bank holidays), • 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to translate business problems to operations research problems and then solve them. Our interns will need to be able to validate, document and present the modelling process and performances, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Mathematical Programming (including Mixed Integer Linear Programming), • Metaheuristics, • Stochastic Optimisation, • Simulation Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

About the role The Tesco Data Science team are offering 12-week paid internships for PhD students within the team. The start date for each internship is flexible but must be between June and August 2026. At Tesco, our Data Science team focus on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores, online, supply chain, marketing and Clubcard. This requires our Data Scientists to have an advanced understanding of statistics and algorithms. The team is made up of researchers and practitioners with varied backgrounds from both academia and the business world. As an intern, you will join the team and get hands on experience of what it's like to be a Data Scientist at Tesco. You'll work with the team on helping us solve an exciting real-life problem. In addition to the technical mentorship and training provided by the team we will also provide a personal mentor to help you get the most out of the internship. If that sounds exciting, then we'd love to hear from you! The position will be based in either our London (Farringdon) office or our Welwyn Garden City campus. What is in it for you We're all about the little helps. That's why we make sure our Tesco colleague benefits package takes care of you - both in and out of work. Click Here "to find out more! • Annual bonus scheme of up to 10% of base salary, • Holiday starting at 25 days plus a personal day (plus Bank holidays), • 26 weeks maternity and adoption leave (after 1 years' service) at full pay, followed by 13 weeks of Statutory Maternity Pay or Statutory Adoption Pay, we also offer 6 weeks fully paid paternity leave, • Free 24/7 virtual GP service, Employee Assistance Programme (EAP) for you and your family, free access to a range of experts to support your mental wellbeing You will be responsible for This is a hands-on position where you will need to use an analytical approach to find solutions to complex problems. As a PhD Intern you will work within the Data Science team, to understand difficult business problems and prototype solutions. A core component of the role is to apply, modify, and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop, Spark). Our interns will need to be able to validate, document and present the modelling process and performance, as well as communicate complex solutions in a clear, understandable way to non-experts. You will need We are looking for ambitious PhD students (in their final or penultimate year) or Postdoctoral Researchers with a strong numerical background and a strong desire to pursue a career in data science. An ideal candidate will have a scientific mentality with the ability to ask the right questions, as well as answer them. Experience in one or more of the following fields would be ideal: • Machine Learning/Deep Learning, • Computer Vision, • Reinforcement Learning, • Graph Neural Networks, • Time series forecasting, • Probabilistic forecasting, • Bayesian Modelling, • Operations Research, • Recommender Systems Finally, good programming skills are essential (either Python or Java is preferred) and ideally some familiarity with SWE best practices (such as version control and unit testing). About us Our vision at Tesco is to become every customer's favourite way to shop, whether they are at home or out on the move. Our core purpose is 'Serving our customers, communities and planet a little better every day'. Serving means more than a transactional relationship with our customers. It means acting as a responsible and sustainable business for all stakeholders, for the communities we are part of and for the planet. We are proud to have an inclusive culture at Tesco where everyone truly feels able to be themselves. At Tesco, we not only celebrate diversity, but recognise the value and opportunity it brings. We're committed to creating a workplace where differences are valued, and make sure that all colleagues are given the same opportunities. We're proud to have been accredited Disability Confident Leader and we're committed to providing a fully inclusive and accessible recruitment process. For further information on the accessibility support we can offer, please click here. We're a big business and we can offer a range of diverse full-time & part-time working patterns across our many business areas, which means that we can find something that works for you. We work in a more blended pattern - combining office and remote working. Our offices will continue to be where we connect, collaborate and innovate. If you are applying internally, please speak to the Hiring Manager about how this can work for you - Everyone is welcome at Tesco.

Must be able to drive due to location.This highly regarded daytime venue has been serving the local community for over 30 years, offering freshly prepared breakfasts, lunches, light.

Must be able to drive due to location.This highly regarded venue has been serving the local community for over 30 years, offering freshly prepared breakfast, lunch, light bites, seasonal special.

As an experienced Traffic Management Operative, you will be required to work on Traffic Management Schemes for a range of projects, helping them to run smoothly and efficiently to achieve maximum production in a working day, whilst maintaining a high Health and Safety standard. This role requires flexibility due to the nature of the business. You must be able to work both days and nights, including some weekends as required. You must have a can do and responsible attitude to work. Day shift and Midday to 10pm shift available We are looking for someone to: • Oversee all methods of traffic management; Give and take, Priority, Stop/Go boards, Portable traffic signals, Convoy working, Road closures, Lane closures and diversions, • Ensure all work is carried out according to safe working methods and best practice procedures, • Carry out risk assessments and method statements on works involving traffic management, • Ensure that all activities associated with the job are carried out according to laid down procedures where possible. Identify areas that can be improved and report to your line manager, • Ensure that daily vehicle checks are carried out – to ensure cleanliness and tidiness of vehicle and the safety of the driver and passenger, • Promote positive company image whilst at work (via wearing of company clothing, attitude, and site cleanliness), • Demonstrate initiative by constantly looking to see where improvements can be made, • Assist the public, directing them through safe site lines when required, • Only undertake Traffic Management activities that you have the qualification to undertake (LANTRA), • All Traffic Management setups must be compliant with guidance and legislation (Red Book, Chapter 8, ARTSM etc.), • Regularly check your site to ensure it remains compliant, • Report any unsafe acts and conditions, and rectify immediately if safe and competent to do so, • Drive safely and avoid distractions. Keep within the speed limit and drive with due care and attention to prevent road traffic collisions, • Park vehicles safely, taking consideration of members of the public and other road users, • Five-point PPE to be worn on site at all times, • Lantra 12d accreditation as a minimum TTMBC, 12d (M1-M2), • Lantra 12 a/b accreditation, IPV driver, foreman advantageous, • Provide evidence that you understand the differences between Chapter 8 and the Safety at Street Works and Road Works (red book) and how these apply, • Full valid UK driving licence, • Be able to read and understand CAD drawings, in relation to the works required, • Preferable to have mechanical ability in relation to Traffic Lights We offer a competitive salary based on experience along with a full benefits package. Network Plus is proud to be an Equal Opportunity Employer. We celebrate diversity and do not discriminate based on race, religion, colour, nationality, sex, sexual orientation, age, veteran status, disability status, or any other applicable characteristics protected by law. We are Armed Forces-friendly. We welcome applications from ex-Armed Forces personnel, reservists, armed forces veterans, cadet instructors and military spouses/partners. We understand that privacy and the security of your personal information is extremely important. By applying for this role, you agree to the terms of our privacy policy which you can find here - . Go Traffic Management has been serving traffic management solutions to clients since 2008, and are now one of the UK’s largest traffic management providers. Our services are delivered from our 22 regional depots, through our dedicated team of 200 employees and support network of approved suppliers. At Go Traffic Management, we have a reputation for providing clients with extensive, well-planned, and expertly delivered solutions for projects and schemes of all sizes. We pride ourselves in meeting (and often exceeding) clients’ expectations in a professional and cost-effective manner, which is a strategy that has resulted in our long-standing working relationships with clients, partners, and stakeholders. Be: SAFE - Go Traffic Management Our Be: SAFE campaign actively encourages our workforce to work safely and avoid unsafe acts and conditions by following four basic rules.

Must be able to drive due to location.This highly regarded venue has been serving the local community for over 30 years, offering freshly prepared breakfast, lunch, light bites, seasonal special.

At Heartwood Collection, we're on the lookout for passionate and vibrant individuals to join our team as a.We're an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home.From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving

Must be able to drive due to location.This highly regarded daytime venue has been serving the local community for over 30 years, offering freshly prepared breakfasts, lunches, light bites and traditional tearoom favourites in a busy and welcoming setting.Due to the rural location and limited public

Working with IT lead to help facilitate new IT solutions. The practice blends a long-standing history in community care (serving its local area for more than a century) with modern, patient-focused NHS services. Update website, screen slides in waiting rooms and answer phone messages as necessary.

Oracle Fusion Cloud Enterprise Performance Management (EPM) Implementation Support Engineer. As a Fusion Cloud EPM Implementation Support Engineer for UK Government Clients, your focus is to deliver post‑sales support and solutions to the Oracle customer base while serving as an advocate for custo

As Category Manager, you'll be an integral part of our commercial growth engine, translating strategy into execution and serving as the commercial lynchpin between customer-specific insight, brand opportunities, and in-outlet activation.

A leading entertainment provider is hiring Team Members to provide outstanding customer service in a fun and fast-paced environment. The role involves welcoming guests, serving food and drinks, and hosting events.

Huws Gray, Huws Gray Plant & Tool Hire, Civils & Lintels, The Timber Group, PDM, NDI, and Anglia Tool Centre. Be Part of Something Bigger at Huws Gray. At Huws Gray, we believe that a diverse and inclusive workforce makes us stronger, smarter and better at serving our customers.

As a Junior Sous Chef atBrowns - Bushey, you will have a passion for serving great food, training great people and leaving a smile on our guests faces. Join us at Browns Brasserie and Bar, serving up classically British food and service.

A leading restaurant chain in Bushey Heath is looking for a Junior Sous Chef who is passionate about serving great food and training others.

A Staff Canteen Assistant is responsible for presenting and preparing high quality food to deliver an excellent staff experience while ensuring all mis-en-place is in place and surfaces are kept clean and tidy. A Staff Canteen Assistant serving Hilton brands is always working on behalf of our Guests

Equally at home serving the needs of both Major Multi-Site Food Manufacturers and small artisan Food producers. This business has an outstanding reputation for providing the Food Manufacturing sector with high quality Capital Equipment and Machinery, backed up by a best-in-class After Sales service.

Tim Hortons is part of the fabric of Canada with over 5,000 quick service restaurants worldwide, serving over 2 billion cups of freshly brewed coffee and we have an ever-growing presence in the U. Welcoming every customer with a smile and being genuinely friendly at all times. Tim Hortons is expandi

Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations. Sketchers Assistant Store Manager – Watford. If so, we want you to join our team as

Are you an experienced Payroll Officer who has worked in a payroll department serving a multi-site company where you are familiar with managing deadlines and working on multiple pay rolls at the same time? If so, join Elysium Healthcare as a Payroll Officer. Elysium Healthcare is part of Ramsay Heal

Sous Chef On Target Earnings £15 - £15.50 * (Including TRONC) At Heartwood Collection, were on the lookout for passionate and vibrant individuals to join our kitchen team as a Sous Chef Were an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. What we offer: Salary package includes TRONC* Contract average of 48 hours with paid overtime Bespoke training and development through our Stepping Stones programme Access to the Employee Assistance Program with Hospitality Action Instant pay access through EarlyPay Enhanced Maternity & Paternity leave Up to £1,500 Referral Bonus 50% off food at any Heartwood Inns or Brasserie Blanc, plus a 20% discount for family and friends A birthday gift and Long Service Recognition Discounts on hundreds of retailers and experiences via Reward Gateway Cycle to Work Scheme About You: Have a proven track record in running service from the line, fresh food cuisine and delivering training and support to chefs Able to work on and run any sections in the kitchen team, demonstrate leadership skills and assist the head chef 3-4 years experience in a Sous Chef role or similar, preferably with exposure to branded operations and a basic understanding of administration operations Heartwood Collection is a multi-award-winning hospitality group: Sunday Times Best Places to Work winner 2024 Double winner at the Publican Awards 2024 Best Pub Brand/ Concept at the Publican Awards 2025 At Heartwood Collection, were excited about the future. With over 40 locations now and plans to expand to more than 60 by 2027, including over 500 bedrooms, theres never been a better time to join us. Were committed to growing our team with progression opportunities across our estate. Join us and be part of a community thats warm, genuine, and full of life. *On Target Earnings is based on a 48-hour working week, TRONC is calculated from the expected 6 months' site average Please note, we cannot take applications from overseas TPBN1_UKCT

Assistant Manager On Target Earnings £16 - 16.50 ph * (Basic £12.82 plus average TRONC) Minimum 35-hour Contract (up to 48 hours per week) At Heartwood Collection, we're on the lookout for passionate and vibrant individuals to join our team as an Assistant Manager We're an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. What we offer: Competitive salary package, includes TRONC* Bespoke training and development through our Stepping Stones programme Access to the Employee Assistance Program with Hospitality Action Instant pay access through EarlyPay Enhanced Maternity & Paternity leave Up to £1,500 Referral Bonus 50% off food at any Heartwood Inns or Brasserie Blanc, plus a 20% discount for family and friends A birthday gift and Long Service Recognition Discounts on hundreds of retailers and experiences via Reward Gateway Cycle to Work Scheme About You: Passionate and vibrant personality, a real people person who cares for the guests, team and experience Confident in running a service from the floor, fresh food restaurant experience and delivering training and support to team members Able to run different aspects of hospitality, including bar, host stand (and reception for rooms site), with a proven record of leadership skills 2-3 years experience as an Assistant Manager, ideally with branded operations knowledge and assist the General Manger with admin, staffing, financial aspects of running a site Heartwood Collection is a multi-award-winning hospitality group: Sunday Times Best Places to Work winner 2024 Double winner at the Publican Awards 2024 Best Pub Brand/ Concept at the Publican Awards 2025 At Heartwood Collection, we're excited about the future. With over 40 locations now and plans to expand to more than 60 by 2027, including over 500 bedrooms, there's never been a better time to join us. We're committed to growing our team with progression opportunities across our estate. Join us and be part of a community that's warm, genuine, and full of life. *On Target Earnings is based on a 48-hour working week, TRONC is calculated from the expected 6 months' site average Please note, we cannot take applications from overseas or that require sponsorship TPBN1_UKCT

Assistant Manager On Target Earnings £16 - 16.50 ph * (Basic £12.82 plus average TRONC) Minimum 35-hour Contract (up to 48 hours per week) At Heartwood Collection, were on the lookout for passionate and vibrant individuals to join our team as an Assistant Manager Were an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. What we offer: Competitive salary package, includes TRONC* Bespoke training and development through our Stepping Stones programme Access to the Employee Assistance Program with Hospitality Action Instant pay access through EarlyPay Enhanced Maternity & Paternity leave Up to £1,500 Referral Bonus 50% off food at any Heartwood Inns or Brasserie Blanc, plus a 20% discount for family and friends A birthday gift and Long Service Recognition Discounts on hundreds of retailers and experiences via Reward Gateway Cycle to Work Scheme About You: Passionate and vibrant personality, a real people person who cares for the guests, team and experience Confident in running a service from the floor, fresh food restaurant experience and delivering training and support to team members Able to run different aspects of hospitality, including bar, host stand (and reception for rooms site), with a proven record of leadership skills 2-3 years experience as an Assistant Manager, ideally with branded operations knowledge and assist the General Manger with admin, staffing, financial aspects of running a site Heartwood Collection is a multi-award-winning hospitality group: Sunday Times Best Places to Work winner 2024 Double winner at the Publican Awards 2024 Best Pub Brand/ Concept at the Publican Awards 2025 At Heartwood Collection, were excited about the future. With over 40 locations now and plans to expand to more than 60 by 2027, including over 500 bedrooms, theres never been a better time to join us. Were committed to growing our team with progression opportunities across our estate. Join us and be part of a community thats warm, genuine, and full of life. *On Target Earnings is based on a 48-hour working week, TRONC is calculated from the expected 6 months' site average Please note, we cannot take applications from overseas or that require sponsorship TPBN1_UKCT

Caterplus - More Than a Meal, It's a Community At Henry Nihill within Caterplus , we don't just serve food - we create warm, welcoming spaces where the over-55 community can connect, share, and enjoy great company over delicious meals. Every dish is made with care, fresh ingredients, and a big helping of heart. What you'll be doing... As a Catering Manager you will proactively manage teams on site as well as be accountable for recruiting, inducting, training, and supporting colleagues to deliver an efficient, high-quality service to Elior UK, our customer and clients. Motivating and managing a team Controlling and managing a budget Accountable for ensuring ongoing team communications, including building internal and external relationships, management reporting and client liaison to enable operational excellence Accountable for COSHH, Food Safety, H&S, legal regulations, environmental policies and duty of care to customers and colleagues Working Pattern: 5 days out of 7 | 40 hours per week. What can you bring? Proven experience of successfully managing a team Genuine interest in customer service excellence A strong team player, highly confident and positive Self-motivated and innovative Previous experience within management, Contract Catering desirable Brilliant Work Deserves Brilliant Perks! At Elior, we believe that when you love where you work, it shows. That's why we make sure our team feels appreciated, supported, and set up for success! Here's what's waiting for you: Free, tasty meals • Enjoy tasty, nutritious food on us while you work! Flexible working, • including part time roles, because life doesn't run on a 9-5 schedule. Plenty of Time to Unwind, • 28 days of holiday, and after two years, enjoy even more with 31 days. Leave for life's important moments, • whether family, personal or unexpected. Give back time, • paid volunteering days for the causes you care about. Room to grow, • career development and learning opportunities for all stages of your career. Wellbeing first, • mental health support and wellbeing perks. Financial security, • pension schemes and life assurance. Exclusive discounts, • save on entertainment, leisure, and even travel! One small thing - we welcome you to apply using the name you feel most comfortable with! No need for legal names at this stage. Why You'll Love Working Here We're a people-first business with over 10,000 colleagues across the UK , serving everything from stadiums to hospitals, schools to workplaces. Our mission? To enrich lives everywhere, every day. And here's the best part - 87% of our team say they're proud to work here! Why? Because we create a place where you're listened to, trusted, supported, and valued. Not sure you match every single requirement? Apply anyway! Research shows that many people - especially women and those from underrepresented backgrounds - hold back unless they meet 100% of the criteria. But we hire for potential, not just experience. If you're passionate and ready to grow, we want to hear from you! We Celebrate You! At Elior, diversity and inclusion aren't just policies, they're who we are. We know that different perspectives make us stronger, and we're dedicated to creating an environment where everyone feels seen, heard, and empowered to succeed. Need any support or adjustments during the application process? Just let us know - we're happy to help! Ready to join us? Hit 'Apply Now' and let's chat! TPBN1_UKCT

The AI Serving team owns model inference and serving infrastructure end-to-end, ensuring AI models are reliably deployed, scaled, observed, and cost-efficient across all hublets and environments, while serving as the home for modern Python at HubSpot. We are seeking a Staff Software Engineer with a

A leading AI research organization in Greater London is seeking a Senior Software Engineer to enhance the reliability of AI systems.This role involves developing Service Level Objectives and designing monitoring systems to optimize performance.Ideal candidates should have extensive experience in dis

Info-Tech Research Group empowers companies with unbiased and actionable research to help CIOs and IT leaders make strategic and informed decisions, save money and time, and de‑risk implementation and delivery.Executive Counsellors are a core element of our premium member service.Each Executive Co

A leading AI-powered customer platform is seeking a Staff Software Engineer to join its AI Serving team in London.

Specialist Behavioural Support Worker.This is a highly rewarding, hands-on role where you will provide person-centred support, helping people build independence, develop life skills, and live fulfilling, meaningful lives within the community.As a Specialist Behavioural Support Worker, you will work

Creative Support is a non-profit organisation which provides high quality person-centred social care services for people with learning disabilities, mental health and other needs.We have an exciting opportunity available for a Relief Activity Support Worker to initiate, plan and provide enjoyable an

Job Title: Support Worker We are seeking a compassionate and dedicated Support Worker to join our team.In this role, you will work closely with a focused care team to support residents with their personal care needs, always respecting their dignity and promoting independence.You will help maintain

We are looking for a passionate.As a Senior you will lead a team of support workers to deliver a high standard of care at all times.You recognise that the role is to help support service users maximise their choices, rights and decisions.The successful candidate must have;.NVQ Level 3 in Residential

P/H | Free Accommodation | Channel Islands | Beautiful Location | Supportive Management.Are you looking for a change of scene but still want to make a real difference to the lives of vulnerable children and families?.We are recruiting experienced Residential Support Workers to join Childrens Homes i

We are looking for enthusiastic and dedicated Relief Support Workers to become part of our Mental Health service in Wigan.Our staff play a vital role in ensuring that positive mental health and housing related support is delivered to all of our service users in a personalised way.We want people who

RSR is a public safety & enterprise security recruitment specialist.We assist public safety employers find the right talent.We assist all employers when they want to source public safety and enterprise security skills and experience.Senior Accommodation Support Worker Location: Sandwell* *This rol

We are looking for a warm, caring and motivated Support Worker to join our friendly staff team in Middlesbrough, Cleveland.As a Support Worker you will be providing person-centred care and support to our service users who reside in their own flat or bungalow to take part in all aspects of everyday l

You must hold a Full UK Driving licence and be able to drive manual vehicles to be considered for this role.Please note our organisation is currently unable to sponsor visas for any positions.Our support workers are the heart of everything we do.We want you to empower the people we support to live t

We are seeking an experienced and reliable.Marske Hall, a 17th-century Manor House, stands proudly in the beautiful village of Marske-By-The-Sea, Redcar.Close to the local promenade and beaches and with extensive gardens, Marske Hall has been purposely adapted to ensure the people we support can liv

Support Workers Wanted - Make a Life-Changing Impact!.Ready to use your skills where they truly matter? Join our Complex Care Team and support a young girl with significant health needs as she moves from rehab back into her family home in Hertfordshire.This is your chance to play a real part in her

Creative Support is a non-profit organisation which provides high quality person-centred social care services for people with learning disabilities, mental health and other needs.We have an exciting opportunity available for a Relief Activity Support Worker to initiate, plan and provide enjoyable an

We're looking for a kind, empathetic and resilient Female Refuge Support Worker to join our Homelessness and Complex needs Service in Tower Hamlets.Annual leave increasing up to 30 days with length of service.Exclusive discounts and cashback via Reward Gateway and opportunity to buy a Blue Light Car