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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.

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 job Job summary Tribunal Caseworker This exciting opportunity in the Tribunal Services team which sits within the Challenge IP strand of the Services Directorate. The Challenge Services team manages and administers contentious proceedings in the field of Trade Marks, Patents and Designs. It also operates the Company Names Tribunal. The post holder will proactively organise and manage their own work, to achieve both personal, departmental and quality targets. The post holder will provide support and assistance to inter parties hearing officers and or adjudicators, and advice and guidance to internal/external customers on legal and procedural issues, involving dispute resolution processes performed by the Challenge caseworkers. Working Style This role will be carried out in-line with IPO Hybrid working arrangements where staff are currently expected to spend at least 20% of their time working onsite from one of our offices. This role is based in our Newport Office. The requirement for attendance at an office location can vary by role so we would encourage candidates to discuss working arrangements with the recruiting manager to agree a reasonable balance between working from home and the office. Job description Main duties consist of but are not limited to: • Inspection of statements/counterstatements to ascertain whether the correct grounds have been pleaded and notify the parties of any perceived deficiencies or irregularities., • Ensure that all evidence admitted into the proceedings complies with the relevant legislation and published guidance material., • Proactively case manage proceedings and ensure that all procedural and administrative decisions are made in accordance with the published statutory requirements, user guidance and within published timescales, • Set and monitor the evidential timetable and determine on a preliminary basis any request made during the evidential stages, i.e. extension of time and stay requests., • Respond to all litigants in writing or on the telephone, in an impartial, professional and customer friendly manner., • Provide support on ongoing transformation projects and being adaptable to change. Person specification Essential criteria: • Proven ability to make unbiased, evidence-based decisions., • Strong understanding of operation delivery processes., • Excellent communication skills, both written and verbal., • Exceptional organisational skills, with a proven ability to manage multiple pieces of work simultaneously., • Good level of digital literacy. How to Apply Click the 'Apply now' button and complete the application form by providing the following: 500-word Personal Statement • Use this to explain why you're suitable for the role ., • Structure your statement around the essential criteria in the Person Specification., • Make sure to provide clear examples to show how you meet each requirement. Behaviours Provide one 250-word example for the following Behaviour; Making effective decisions (lead behaviour) • Explain how decisions have been reached in a clear and concise way, both verbally and in writing, • Analyse and research further information to support decisions For further information on the sift and interview stages of this recruitment campaign, please head to our 'Things you need to know' section below. Please visit our Civil Service Careers page - IPO - Recruitment Support , Civil Service Careers (civil-service-careers.gov.uk) If you require job-specific information, please contact Dannii Bethell. E-mail: Telephone: Behaviours We'll assess you against these behaviours during the selection process: • Making Effective Decisions, • Communicating and Influencing, • Delivering at Pace We only ask for evidence of these behaviours on your application form: • Making Effective Decisions Benefits Alongside your salary of 29,952, Intellectual Property Office contributes 8,677 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides. • A flexible working scheme with excellent development opportunities, • 25 days annual leave moving to 30 days in annual increments (1 day per year) over 5 years of reckonable service. You will also get 8 days public leave and 1 day privilege leave, • Learning and development tailored to your role, • Family friendly policies that support modern working families and individuals with caring responsibilities, • A variety of support functions; Staff Counselling Service, Peer to Peer Support Group, • Eligibility for special and office-wide bonus payments, • The opportunity to form part of our many inclusive network groups, find out more by looking at Intellectual Property Office (IPO) (diversityjobsgroup.com), • A range of wellbeing initiatives; Onsite Gym (Newport office), Eye Care Scheme, Volunteering Programme, Cycling facilities, • Free car parking is available on site at our Newport office, • On-site shop, restaurant and coffee shop at our Newport office For more information about what's on offer at the Intellectual Property Office please review our IPO benefit pack attached to the bottom of this advert. Please note that benefits may be subject to change. Things you need to know Artificial intelligence Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use. Selection process details This vacancy is using Success Profiles (opens in a new window) , and will assess your Behaviours, Strengths and Experience. The assessment process will comprise of the following: Stage 1 - Pre sift testing The following pre sift test will need to be completed and passed before your application will be seen by the panel: • Caseworker Test Applicants to note: All listed behaviours will be assessed during the Civil Service Judgement Test. There are no time limits for the completion of tests. Please ensure you complete the test with enough time to fully complete and submit your application before the closing date. Full instructions will be given at the start of the test. The deadline for completing the tests is the same as the application deadline: 11/06/2026 at 23:55 Please ensure you leave yourself enough time to fill out the application after completing the tests. Stage 2 - Sift An initial sift of applications will be carried out to create a shortlist. This will be based on the evidence provided for the following Success Profile elements: Experience Your 500 word Personal statement will demonstrate your Experience against the listed essential criteria Behaviour Provide one 250-word example for the following Behaviour Making Effective Decisions (lead behaviour) • Explain how decisions have been reached in a clear and concise way, both verbally and in writing, • Analyse and research further information to support decisions Please note, in the event of a high number of applications, Making Effective Decisions the lead criteria may be used to carry out an initial sift of applications. Candidates who pass the initial sift will be progressed to a full sift. Stage 3 - Interviews If invited to interview Behaviours and Strength based questioning will be used. Specific information regarding the Success Profile elements that will be assessed at interview will be contained within the interview invitation. Please note candidates that proceed to the interview stage will be required to complete an written assessment. Details will be provided in the invite to interview information. Interviews for this role will be carried out in person at our Newport Office. This recruitment campaign will keep a reserve list for 12 months. If you meet the requirements for this role but aren't offered after passing the interview, you'll be placed on the reserve list. If a suitable position opens up during this time, we will reach out to individuals in merit order. The successful candidate would be expected to remain in the role for a minimum of 12 months before applying for another role. Applicants to note : CVs sent direct to the IPO will not be accepted. Please note candidates that proceed to the interview stage will be required to complete a written assessment. Details will be provided in the invite to interview information. This post is being advertised to Internal, across Government and external candidates at the same time. Incomplete and/or late submissions will not be accepted or considered. Feedback will only be provided if you attend an interview or assessment. We do not routinely reimburse travel expenses for candidates, however if participating in the selection process would cause you undue financial hardship or if it restricts your ability to participate, please contact the recruitment team for more information. In line with Government guidance, successfully appointed candidates will need to provide documents for our Right to Work checks. Information on this will be sent within the invite to interview text. If you require a reasonable adjustment at any stage of the recruitment process, then please let the recruitment team know via; Please be aware that only one application per candidate is permitted for each recruitment campaign. Multiple applications, including those made using different accounts, may result in your application being withdrawn or rejected at any stage of the process. For more information on the IPO's terms and conditions, please review the attached IPO Modernised Terms and Conditions document attached at the bottom of this advert. Feedback will only be provided if you attend an interview or assessment. Security Successful candidates must undergo a criminal record check. People working with government assets must complete baseline personnel security standard (opens in new window) checks. Nationality requirements This job is broadly open to the following groups: • UK nationals, • nationals of the Republic of Ireland, • nationals of Commonwealth countries who have the right to work in the UK, • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window), • nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS), • individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020, • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service Further information on nationality requirements (opens in a new window) Working for the Civil Service The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window) . The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria. The Civil Service also offers a Redeployment Interview Scheme to civil servants who are at risk of redundancy, and who meet the minimum requirements for the advertised vacancy. Diversity and Inclusion The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window) .

In addition to One Stop's comprehensive product range, many of our stores offer services to enhance the shopping experience, including free cash machines, Post Office, Evri Parcelshop, PayPoint (for bill payments and mobile top-up), lottery, as well as vending solutions such as Costa Coffee and Tang

Engage in training and development as a training practice for GPs, Pharmacists and Nurses; participate in daily GP coffee catch-ups, weekly partnership meetings and monthly education sessions. Quality-driven GP with energy, positivity and a good sense of humour; applications welcomed from GPs within

Support Worker - Driver Location: Potters Bar, Hertfordshire Rate: £13.03 per hour Permanent | Full-time | 35 hours per week (rota-based) Please note: We are unable to consider Skilled Worker or Student Visa applicants for this role ‘Extraordinary Days, Every Day’ At CareTech, we are committed to delivering Extraordinary Days, Every Day through high-quality, person-centred care. Our focus is on empowering independence, building confidence and life skills, and supporting people to live fulfilling lives in environments that best suit their needs. We are recruiting a Support Worker to join our service in Dugdale, supporting adults with learning disabilities, autism, and mental health needs. Whether you’re new to care or experienced, this is an opportunity to build a rewarding, long-term career - any truly make a difference! About the Service - Dugdale House Rated Good by CQC, Dugdale House is registered for 8 service users with Learning Disabilities. The Service Users enjoy going to the local day centre, shops, and coffee shops. Dugdale House is a beautiful Victorian building and boasts a large garden which is regularly used by staff and service users for barbeques, in house events and picnics. The service users enjoy many in house activities as well as visiting local day centres. The Role You will: Supporting daily living, personal care, and meal preparation Providing one-to-one, tailored support Encouraging independence, life skills, and social inclusion Supporting emotional wellbeing and positive outcomes Working as part of a professional, dedicated teamThis role can be challenging at times — but it is deeply rewarding. Every day, your work helps change lives. Who We’re Looking For We’re seeking people who are caring, patient, and respectful, with a positive and resilient approach. You should be confident working independently and within a team, have good communication skills, basic IT and written abilities, and be flexible and reliable. No previous experience? No problem! If you have the passion, we’ll provide full training and a structured induction programme. Requirements Willingness to work towards Level 2 QCF (Social Care Wales registration) Ability to work unsociable hours on a rota basis Drivers is essential Enhanced DBS required (paid for by CareTech)What We Offer Recommend A Friend Bonus Up to 28 Days Holiday, inclusive of Bank Holidays Free DBS Check Blue Light Card Stakeholder Pension Free Employee Assistance Programme Annual Employee Awards Evening Employee Recognition Schemes Ongoing training with clear career progression opportunities, including access to qualifications up to degree level CareTech Foundation - Opportunity to apply for family and friend’s grantOur Values Friendly Positive Innovative Empowering Person-CentredApply today to join a friendly, empowering organisation committed to person-centred support and creating Extraordinary Days, Every Day. About CareTech Founded in 1993, CareTech is one of the largest and most reputable specialist social care and special education needs providers across the UK. The Group has a track record of more than 30 years, delivering high quality, person-centred care to those with complex needs. The Group was founded by brother Haroon and Farouq Sheikh, who continue to lead CareTech today, providing continuity of leadership, long term stability and a deep personal commitment to the people we support. CareTech Community Services are proud to inform you that they are a Disability Confident Leader. Due to the high volume of applications, only shortlisted candidates will be contacted within 7–10 days. Some roles may require male or female employees only, where this is a genuine occupational requirement in accordance with the Equality Act 2010. Strictly no agencies

Building Fabric Projects Engineer | London & South East | Permanent, PAYE – Paid Weekly | £45,000 + Van, Fuel Card & Employment Package We are actively recruiting for a Building Fabric Projects Engineer to carry out planned and quoted fabric project works across commercial environments throughout London and the South East region. As a Building Fabric Projects Engineer you will be delivering a variety of fabric project works including fire door / door installations/replacements, flooring, drylining, suspended ceilings, tiling, joinery, partitioning and associated building fabric works. Environments you will be working in include retail stores, coffee shops, restaurants, pubs, gyms and similar commercial properties. Employment Package/Summary: • Role: Building Fabric Projects Engineer, • Status: Permanent, PAYE – Paid Weekly, • Base Salary: £45,000, • Estimated annual earnings: £55,000 – £65,000, • Provided: Van, fuel card, uniform, phone, tools, 29 days paid annual leave, • Hours: Monday to Friday, 9 hour working day, 08:00am – 5:00pm, • Overtime: x1.5 rate until midnight, x2 rate overnight, • Call out rota: No call out, • Location/s: London and South East England, • Works: Planned and quoted fabric project works, • Industry: Building Services / Commercial FM, • Equipment/Works: fire door / door installations/replacements, flooring, drylining, suspended ceilings, tiling, joinery, partitioning and associated building fabric works. Requirements: • Must hold a relevant trade qualification in a building fabric discipline (City & Guilds / NVQ Level 2/3 or equivalent)., • Must hold proven experience delivering building fabric works within commercial environments., • Ability to work independently and manage small to medium fabric projects from start to finish., • Must hold a UK driving licence with 9 points or under. If you are an experienced Building Fabric Projects Engineer then please apply today by submitting a full CV

At Costa Coffee, we’re on a mission to reimagine coffee experiences across the globe. As Costa continues its journey to become a truly global total coffee company, technology plays a critical role in enabling growth, resilience, and exceptional customer experiences across every market. We didn’t

Is this your next job Read the full description below to find out, and do not hesitate to make an application.The Sous chef is responsible for running our hotel kitchen in the absence of the head chef ensuring maximum guest satisfaction through planning, organising, directing, and controlling the Ki

We didn’t become a global coffee brand by sitting back. Being a Finance Manager – Commercial B2B is about so much more than bringing our coffee to the world. At Costa Coffee, we are what we craft.

At Lavazza Professional, our goal is to fuel workplace productivity and wellness, proudly serving premium Lavazza coffee from our Multi-drink and Barista Collection systems, our industry leading, versatile office coffee and vending technologies offer tailored options to fit any workspace, any size o

At Costa Coffee, we’re all about crafting great coffee and memorable moments. Maintain high standards across service and coffee excellence.

Maintenance Engineer (WMF/Cimbali Coffee Machines) Central London (Local Patch) £35,000 - £45,000 Training Progression Van Tools Fuel Card Door 2 Door Overtime Bonus Are you a Maintenance/Service Engineer or similar, with previous coffee machine reactive breakdown experience, coming from a

At Costa Coffee, we’re on a mission to reimagine coffee experiences across the globe. From bustling cities to local communities, we’re creating meaningful coffee moments, powered by innovation and driven by purpose. We didn’t become a global coffee brand by sitting back.

Whether you get your coffee in a store, from a machine, at home, or on the go – we’ve got you covered. Whatever your role, you can help us change lives in coffee growing communities and help your local community too. We didn’t become a global coffee brand by sitting back.

About the job Mercor connects elite creative and technical talent with leading AI research labs.Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey.Position: Farmers, Ranchers, and Other Agricultural Manag

Whether you get your coffee in a store, from a machine, at home, or on the go – we’ve got you covered. Whatever your role, you can help us change lives in coffee growing communities and help your local community too. We didn’t become a global coffee brand by sitting back.

Senior Hotel Services Supervisor - The Wilmslow Hospital.Senior Hotel Services Supervisor.Shifts between 6am and 9pm, working 5 days out of 7, to include weekends.Competitive dependant experience + Benefits (pension, health cover, flexible benefits and excellent career development).We have an exciti

Brew Your Future With Scoffs Group - Become a Costa Coffee Barista!. If you're passionate about great coffee and love delivering experiences that make people smile, this could be your perfect next step. Costa Coffee franchise in the UK.

At Costa Coffee, we’re on a mission to reimagine coffee experiences across the globe. Costa Coffee’s Away From Home segment across EMENA. We didn’t become a global coffee brand by sitting back.

Wedding and Events Supervisor - East Horsley.Ready to take the next step in your career delivering memorable weddings, meetings & events?.Join our team as a Wedding and Events Supervisor at De Vere Horsley Estate in East Horsley and be part of our exceptional team, where every detail matters and unf

At Costa Coffee, we craft great coffee and memorable experiences. Serve great coffee and deliver an energising customer experience.

Facility Management Supervisor - Qatar.K-£2K UK equivalent monthly (inc tax free calculation) QAR depending on qualification & experience, annual bonus as percentage of salary (paid annually).Society is more than a workplace — it’s a lifestyle destination.Society brings together fitness, well

QAR monthly, circa £1K-£2K UK equivalent monthly (inc tax free calculation) depending on qualification & experience, uncapped commission potential (paid monthly).Society is more than a workplace — it’s a lifestyle destination.Society brings together fitness, wellness, recovery, and communi

At Costa Coffee, we’re all about crafting great coffee and memorable moments. Maintain high standards across service and coffee excellence.

Costa Coffee franchise in the UK. UK's favourite coffee brand for 11 years running. You'll be joining a group of coffee lovers who care about great service, supporting each other, and making every customer visit memorable.

For this role, those in-person days will be shared across both our St Albans Support Office and our Basildon Roastery, offering a unique opportunity to stay closely connected to both our central teams and the heart of our coffee production. At Costa Coffee, we are what we craft. We’re reimagi

Join Fuller's: Where the true you thrives and diversity is embraced.At Fuller's we don't just offer jobs, we invite you to celebrate your authentic self.Our four core values - doing things the right way, being part of the family, celebrating individuality and always asking what's next? - define the

Cleaner - Male - St Albans Club, St Albans.Our team is so important to us, the people in our business is what makes us successful.We live by a set of values called our ‘Winning Ways’; Win Together, Aim Higher, Own It, We Care and Love What We Do.We focus on what sets us apart as a Brand and ens

The Finance Manager – Green Coffee & Commodities is responsible for leading the finance activities related to green coffee and commodity risk management and procurement. Being a Finance Manager – Green Coffee & Commodities is about so much more than bringing our coffee to the world.

Wir bieten spannende Möglichkeiten für Kundenservice Supervisor (Games Host), Teil unseres dynamischen Teams zu werden.Bei HB Leisure gehen wir neue Wege: Wir eröffnen nicht nur Karrieremöglichkeiten in der Freizeitbranche, sondern bieten auch die Chance, weltweit zu reisen und an unseren beeind

Costa Coffee is hiring a Finance Manager - Commercial B2B in St Albans.

Front of House Supervisor - Barnet.Queens Elizabeth School, Barnet, Hertfordshire EN5 4DQ.Bespoke training & development opportunities.Discounts on high street brands, cinema & holidays via the Perkbox App.Wellbeing hub & access to employee assistance programme.Career development & HIT Apprenticeshi

Cleaner - Female - , St Albans.Our team is so important to us, the people in our business is what makes us successful.We live by a set of values called our ‘Winning Ways’; Win Together, Aim Higher, Own It, We Care and Love What We Do.We focus on what sets us apart as a Brand and ensure we have t

For almost 20 years, for every client, in every location, whether that's an office, stadium, cathedral or university, we have created beautiful spaces, exciting menus and friendly teams, so that each and every customer, and guest can have the hospitality experience they deserve.We can't do this alon