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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.

As a Breakfast Chef at Cairn Group, you’ll lead the morning brigade with energy, skill, and a passion for delivering the perfect start to our guests’ day. With a focus on fresh, high‑quality food, you’ll take ownership of breakfast service and support lunch or conference catering when needed

A luxury boutique hotel in Ruislip seeks a Chef de Partie to assist the head chef and oversee food preparation.

A leading food services company is seeking an experienced Commis Chef to join their team in Northwood.This full-time position involves preparing and cooking meals across breakfast and lunch services, ensuring food compliance with safety regulations, and maintaining kitchen records.The role provides

A leading UK hospitality company is looking for a Breakfast Chef in Chalfont St. Peter to lead breakfast service with energy and professionalism.

Permax Recruitment is working in partnership with a London based firm who are on the lookout for a Software Engineer. For nearly a century, our client has been building a firm as accountants, auditors, tax specialists and close advisors to clients operating in emerging markets, disrupting the status quo. This has accelerated thanks to the blockchain. In 2017, a client asked to help with an ICO and they have been crypto pilled ever since, developing into what is currently the leading professional services firm on chain. In 2023, they opened a new leg of the business to carve out a team dedicated to all things Web3, which is now over 80 strong and servicing near 600 digital asset clients globally. They partner with some of the industry's most influential playerscryptocurrency exchanges, blockchain innovators, Web3 pioneers, and digital asset fundsoffering tailored audit, tax, and advisory services that keep pace with this fast-evolving landscape. Senior Software Engineer (Cloud Infrastructure & DevOps) Location: London (Three days in office, two days wfh) Salary: Approx £100,000 + Bonus While our team builds data pipelines and reporting tools that enable accountancy teams to work efficiently, this role focuses primarily on managing our AWS infrastructure, supporting the team with robust DevOps practices, and mentoring other developers. You'll be the technical expert who ensures our systems are scalable, secure, and well-architected as we transition to microservices and ephemeral infrastructure. Key Responsibilities Cloud Infrastructure & DevOps (Primary Focus) Own and manage our AWS infrastructure, acting as the team's cloud platform expert Be one of the leaders in the migration toward microservices and ephemeral architecture Lead in infrastructure as code Establish and maintain CI/CD pipelines for the team's data and application projects Lead the implementation of monitoring, logging, and alerting systems to ensure reliability in our solutions Manage cloud security, IAM policies, and compliance requirements Provide infrastructure support and guidance to team members working on data pipelines and applications Troubleshoot infrastructure and deployment issues Team Leadership & Mentorship Mentor other developers on DevOps practices, cloud architecture, and infrastructure concepts, jointly with other senior members Support and encourage team members in deploying and managing their data pipelines and applications Conduct code and infrastructure reviews Develop and share best practices for cloud-native development Foster a collaborative learning environment within the team Contribute to technical documentation Collaboration & Technical Enablement Enable the team to build and deploy data pipelines efficiently by providing templates and guidance on infrastructure Work with colleagues to understand their infrastructure needs and provide solutions Translate infrastructure requirements into scalable, maintainable solutions Communicate technical concepts clearly to both technical and non-technical stakeholders Collaborate with accountancy teams to ensure data platform reliability and performance Technical 5+ years of software engineering experience with a significant cloud infrastructure focus Understanding of networking, security, and cloud best practices Hands-on experience with AWS services Proficiency with infrastructure as code tools Experience designing and implementing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar) Solid understanding of containerization and orchestration (Docker, Kubernetes, ECS) Experience with monitoring and observability tools (CloudWatch, Datadog, Prometheus, or similar) Proficiency in bash Experience supporting development teams with infrastructure and deployment needs Knowledge of microservices architecture and serverless patterns Leadership Experience working in teams outside the realm of Software Engineering Demonstrated experience mentoring or managing junior Engineers Strong communication skills with both technical and non-technical audiences Ability to provide clear technical guidance and support Pragmatic approach to balancing technical delivery with business needs Desirable Python experience for infrastructure automation and tooling Familiarity with data pipeline infrastructure (supporting ETL workloads, data warehousing) Experience with data governance and compliance requirements Cloud cost and resource utilisation optimisation Experience migrating from monolithic to microservice architectures What We Offer Opportunity to shape and own the technical infrastructure Small, collaborative team environment where your expertise will have a direct impact Opportunity to create and develop solutions that are new, be impactful Dress for your diary. Flexible working hours. A technology enabled firm. A Family environment, fantastic retention, hiring due to exceptional growth and internal promotions. A Fixed profit-sharing bonus scheme payable to all staff. Brand new central London office. Plenty of socialising opportunities. Free breakfast and fresh fruit provided daily. TPBN1_UKTJ

Pastry Chef de Partie - Sale e Pepe Mare Set to open within The Langham, London, Sale e Pepe Mare marks an exciting new chapter in the storied legacy of Sale e Pepe, the iconic Knightsbridge restaurant that has defined Italian dining in the capital since 1974. This landmark collaboration brings together two London icons under one roof, blending heritage, elegance, and modern energy. Sale e Pepe Mare will capture the sun-soaked spirit, vibrant flavours, and unmistakable sense of la dolce vita. Serving breakfast, lunch, and dinner, the restaurant celebrates exceptional seafood alongside a refined dining and bar experience inspired by the Mediterranean coast. We are now seeking a Pastry Chef de Partie to join our opening pastry team in early 2026. This is an outstanding opportunity for a skilled and passionate pastry professional to help shape the dessert offering of a premium, high-volume fine dining destination from the very beginning. About the Role As Pastry Chef de Partie, you will be responsible for the preparation, execution, and presentation of desserts, pastries, and baked goods within your designated station. Working closely with the Pastry Chef and Sous Chef, you will help deliver consistent quality, creativity, and precision across all pastry sections. You will play a key role in maintaining high operational standards, supporting menu development, and contributing to a smooth and efficient service - all while upholding the elegance and excellence synonymous with Sale e Pepe Mare. About Us At Sale e Pepe Mare, we honour the heritage of a London institution while embracing a fresh, contemporary approach to coastal Italian dining. As part of Thesleff Group, a growing hospitality collective behind celebrated venues such as Los Mochis, Sale e Pepe, Viajante87, Juno Omakase, and Luna Omakase, we are proud to combine innovative cuisine, stylish design, and genuine hospitality. Joining our opening team means becoming part of a people-focused culture that values creativity, craftsmanship, and career progression. Key Responsibilities Prepare, cook, and present desserts, pastries, breads, and plated sweets to the highest standard Execute recipes and plating with precision, consistency, and attention to detail Maintain organised and efficient mise en place for your section Collaborate closely with the pastry and wider kitchen team during service Support menu development and seasonal dessert creation under the guidance of the Pastry Chef Ensure strict adherence to hygiene, cleanliness, and food safety standards Assist in training and mentoring junior pastry team members Contribute ideas and creativity to elevate the overall pastry offering Requirements Proven experience as a Pastry Chef de Partie within a premium, high-volume restaurant or hotel Strong technical pastry skills and refined attention to detail Ability to work calmly and efficiently under pressure A collaborative team player with excellent communication and organisation Passion for desserts, pastry, and baking with a creative mindset High personal and professional standards, including hygiene and presentation Flexibility to work early mornings, weekends, and peak service periods Proof of right to work / pre-settled or settled status in the UK Benefits Include Highly competitive salary Private medical insurance Paid sick leave Study support scheme Complimentary meals while on duty 50% staff discount when dining with family and friends Career progression across the expanding Thesleff Group People-focused, supportive, and inclusive workplace culture Internal training, development opportunities, and team celebrations If you are a passionate pastry professional with a drive for excellence and a desire to be part of an exceptional opening team, we invite you to apply for the role of Pastry Chef de Partie at Sale e Pepe Mare. Sale e Pepe Mare is an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified individuals regardless of race, colour, religion, sex, national origin, age, disability, or any other legally protected status. TPBN1_UKCT

Chef de Partie The BoTree The BoTree has the prestigious title of Conde Nast Best New Hotel 2025. Nestled between Marylebone and Mayfair, our luxury hotel boasts 199 stunning guest rooms, including 29 suites, the renowned LAVO Italian restaurant, two unique bars, an exclusive nightlife event space, a private screening room, and Wellness. At The BoTree, our values of Truth, Love, and Compassion guide every decision, creating an environment where our colleagues, guests, and communities can thrive. We are now seeking a passionate and detail-oriented Chef de Partie to join our culinary team. The ideal candidate will bring creativity and precision to support the Head Chef in delivering consistently exceptional dishes across all dining experiences - from brunch service to special events. Experience in Italian cuisine is preferred. Key Responsibilities Support the Head Chef in providing menu items across all service periods, including brunch, la carte dining, in-room dining, brunch and special events. Preparation and cooking of dishes, with a strong focus on authentic Italian flavours, techniques, and presentation. Ensure all menus are prepared to the highest standard, maintaining consistency and creativity. Uphold the highest standards of food safety, hygiene, and HACCP compliance. Maintain safe, clean, and well-organised work areas. Monitor stock levels and minimise waste through effective rotation and storage. Collaborate closely with Kitchen team to deliver seamless guest experiences for all dining options and events. What Were Looking For Previous experience as a Chef de Partie (or similar role) in a luxury hotel or high-end Italian restaurant. In-depth knowledge and passion for Italian cuisine, from traditional classics to modern interpretations. Team working skills, with the ability to work well within a team. Excellent organisational and time-management skills. Sound knowledge of food safety, allergen protocols, and kitchen operations. A commitment to teamwork and to living our values: Truth, Love, and Compassion. What we offer Cycle to work scheme Dedicated employee assistance programme through Health Assured Stream financial wellbeing programme. Complimentary overnight stay (including dinner and breakfast) at one of our hotels to celebrate your work anniversary. TPBN1_UKCT

Whip up something amazing today! WELCOME TO A WORLD OF OPPORTUNITIES AT THE WORLD'S #1 BEST WORKPLACE, AWARDED BY GREAT PLACE TO WORK & FORTUNE No two days or two hotels are the same, but our spirit and passion for hospitality always brings all our teams together to create a culture of inclusiveness, positivity and drive to achieve our common goal. "To share the light and warmth of hospitality". With amazing training, resources and support from both managers and colleagues, there is always an opportunity to develop and grow. Hourly Rate of £13.92 per hour plus service charge A WORLD OF REWARDS Chef whites provided and laundered Free and healthy meals when on duty Grow your Career ! Personal Development programmes designed to support you at every step of your career A chance to make a difference through our Corporate Responsibility programmes - Find out what and how we are doing () Team Member Travel Program: discounted hotel nights plus 50% off Food and Beverages (subject to individual outlets) Team Member Referral Program High street discounts: with Perks at Work Holiday: 28 daysincluding bank holidays (increasing yearly to up to 33 days) Discounted dental and health cover Free Parking Subsidised Taxi Scheme Accommodation available with all billsincluded Guest Experience Day: 1 night stay with breakfast Modern and inclusive Team Member's areas You will join the kitchen brigade, working in your designated section. You enjoy leading your section and your Commis Chefs to produce high quality dishes impeccably prepared and served. You will support the Head Chef and Sous Chef with creating and testing menus, and with achieving departmental targets. Are you an experienced Chef, positive and passionate about food and eager to be part of a stellar kitchen brigade? Then this is the job for you! EVERY JOB MAKES THE STAY. At Hilton, It Matters Where You Stay, but The Stay is only one side of the story. We know it takes hundreds of jobs to create unforgettable experiences for our guests - and behind every job, there's an extraordinary person working to make each Stay magical. That's why at Hilton, Every Job Makes the Stay. Find out more about all our brands and hotels - Hilton Brands | Global Hospitality Company TPBN1_UKCT

We’re looking for talented and self-motivated Breakfast Chefs to take the lead on our busy breakfast services for this summer. Experience in a dedicated breakfast role (desirable). Breakfast is a growing highlight of the Peligoni experience - served at Tasi with beautiful sea views, and at the Del

An amazing opportunity for a Breakfast Chef to join the Atrium Hotel Heathrow team. Modern, with an upcoming sky bar/restaurant, consisting of 573 stylish rooms and a prestigious Conference and Banqueting Hall for up to 700 guests, 36 flexible meeting rooms, Orange Tree Restaurant and Bar, 24hr caf�

Previous experience as a Breakfast Chef or similar role. We are seeking an experienced and enthusiastic Breakfast Chef. You’ll play a key role in setting the tone for our guests’ day, delivering a warm, efficient, and consistent breakfast experience.

Jumeirah, a global leader in luxury hospitality and a member of Dubai Holding, operates an exceptional portfolio of 29 properties across 11 countries in the Middle East, Europe, and Asia.In 1999, Jumeirah changed the face of luxury hospitality with the opening of the iconic Jumeirah Burj Al Arab and

As a Searcys Breakfast Chef, you will be responsible for preparation and delivery of all breakfast items, cooking and serving dishes to the highest of quality and with precision and care. To provide food/service to a consistent high standard for all breakfast areas, including assisting senior chefs

The ideal candidate will manage breakfast services, ensure quality delivery, and lead the team to exceed guest expectations in a luxurious setting.

A prominent restaurant in Greater London is seeking an experienced Breakfast Chef to create high-quality breakfast dishes and provide excellent morning service. Responsibilities include cooking eggs, preparing pancakes, and ensuring smooth breakfast operations in a fast-paced kitchen.

Responsibilities include managing the breakfast service, training staff, and maintaining high customer satisfaction. A leading hotel chain in London is seeking a Breakfast Manager to oversee restaurant operations, ensuring exceptional guest experiences.

What we look for in a Breakfast Chef:.

A premier hospitality group in Greater London is looking for a Breakfast Restaurant Manager for its Signature Restaurant. The ideal candidate will ensure high levels of service during breakfast and lunch, while also achieving revenue and satisfaction goals.

The inn offers breakfast service for residents, dishes are cooked from locally sourced seasonal ingredients. After breakfast service you will prepare for the next day’s service and may also assist the other chefs in the kitchen with their prep.

Own overall breakfast operation, mise‑en‑place and service for the section / department.

In this position, you will be joining a brigade of chefs at the hotel, maintaining the kitchens and ensuring that guests' dining requirements are met during the first-class breakfast service.

Overall responsibility for the day to day management of the Breakfast Club as a Breakfast Club Playwork Childcare Supervisor at our club at Lovelace Primary School, Chessington (KT9). Purchase healthy breakfast for the Breakfast Club. Ensure the Breakfast Club operates to Ofsted and KOOSA Kids polic

A prominent hotel group located in Old Windsor is seeking a Weekend Breakfast Supervisor to lead morning services. You will ensure efficient breakfast operations, create a welcoming atmosphere, and guide a team to provide exceptional guest service.

A popular pub restaurant in Swindon is looking for a Grill Chef to join their kitchen team.You will prepare, cook, and serve delicious meals in a fun environment.This permanent position requires catering experience and the ability to work 18 hours a week, including weekends.Training and various bene

Breakfast Manager - 5013 page is loaded## Breakfast Manager - 5013locations: Hardees of Londontime type: Part timeposted on: Posted 2 Days Agojob requisition id: JR-65891# Click to Apply!## ## ## Job Title - Restaurant Breakfast Manager/Hardee's**NOW HIRING EXCEPTIONAL RESTAURANT BREAKFA

Breakfast & After School Club Manager / Activity Leader.

A luxury hotel operator in London is looking for a Breakfast Chef to join their exclusive kitchen team. This role requires a candidate with at least three years of experience as a Chef de Partie or Breakfast Chef, particularly in luxury environments. The successful applicant will work in a team prep

A renowned dining establishment in Greater London is seeking a dedicated Breakfast Chef to deliver high-quality dishes.

A high-quality conference hotel is seeking a Weekend Breakfast Supervisor to lead its team during busy weekend breakfast services.

A children's care and education provider in Greater London seeks a part-time Wraparound Care Setting Leader.This role involves creating a nurturing environment, supervising children, and planning engaging activities to support their development.Previous experience and a passion for working with chil

We are looking to appoint an enthusiastic and highly motivated individual to provide an efficient, exciting and safe Breakfast Club which will be available to all children within the school setting. In this role, you will assist in supervising children attending Breakfast Club, providing appropriate

Leading and coordinating the kitchen team to deliver a smooth breakfast service. LEGOLAND Windsor Resort is seeking a Senior Breakfast Chef de Partie to join our Hotel Kitchen Team. Breakfast Shifts (6am until 2pm).

It’s not just for you—your loved ones can enjoy 15% off bed and breakfast too!. As Breakfast Chef, you’ll play a crucial role in our kitchen, ensuring presentation and attention to detail are key.

A hospitality company in the United Kingdom is seeking a skilled Breakfast Chef to join their dynamic kitchen team. This role involves preparing and serving breakfast, typically starting as early as 5 am.

A hospitality company in North East England is seeking a Breakfast Chef who will ensure high standards of food hygiene and quality.

A family-run hospitality group in London is looking for an experienced Breakfast Chef to join their Kitchen Team.

A luxury hotel in London is seeking a Chef de Rang to enhance guest experiences during the breakfast shift.

A local educational institution in the United Kingdom is seeking an enthusiastic individual for a part-time role assisting in their Breakfast Club.

A busy arena venue is seeking a passionate Breakfast/Lunch Chef to prepare high-quality dishes for buffet and plated service.