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

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

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

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

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

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

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

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? • We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running!, • We provide award-winning training, setting you up for success., • We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone., • Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money!, • Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: • You love meeting new people and hearing their stories., • You’re comfortable striking up conversations and putting people at ease, even in unexpected situations., • You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss., • You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.

This refined property blends timeless elegance with modern sophistication and is known for delivering outstanding guest experiences. Confident with chocolate work, sugar work & fine detail. Experience with plated desserts, afternoon tea & artisan breads.

A leading independent school in the United Kingdom seeks a dedicated part-time Early Years Practitioner for afternoon sessions.

A leading independent educational institution is seeking a dedicated part-time Early Years Practitioner for afternoon sessions, working from 12.

A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It’s Wednesday afternoon. You’ve enjoyed your day, and now it’s time for your shift as a Field Market Research Interviewer! You’re heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you’ve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you’ll need that, business insurance and a valid driver’s licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You’ll be going door-to-door, inviting people to participate in surveys. Don’t worry; we provide all the training you need to feel confident approaching people, even if they weren’t expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You’ll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You’re making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We’re committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We’re socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We’re dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you’ll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You’re comfortable striking up conversations and putting people at ease, even in unexpected situations. You’re looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You’re passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers

All CV’s to - (url removed) This 7.5t work is available on all shift patterns. Pertemps are working in partnership with the Royal Mail, the UK's designated Universal Postal Service Provider, to recruit 7.5t Drivers. If you are looking for work, then look no further, as our onsite team at across the country are looking for Drivers to start work immediately. As an MGV Driver, after successfully completing an assessment, you will be required to trunk parcels and mail between depots across the Royal Mail Network. There is very little manual work, and shifts are offered 1 week in advance. We have competitive pay rates and an array of start times and days available to suit. We are keen to speak to any Drivers able to work weekends or start in the afternoon into the evening. To meet entry requirements, you will have: Held your licence for over 2 years 2 years experience Have less than 6 points. Unfortunately, we are unable to accept any DD, DR, IN or CD endorsements. Due to the nature of our client's business, you will be required to clear a CRB security check following the point of registration. In return, MGV Drivers will receive: Pay rates – MGV: £17.45 - £27.13 per hour depending on shift start/finish time. Minimum daily hours guaranteed. Accrued holiday pay. Access to pension (PAYE). Weekly pay. Onsite car parking. If you are interested in applying, please contact our Pertemps onsite team on (phone number removed) or (phone number removed) or email your CV to: (url removed)

Motor Vehicle Technician – Hemel Hempstead Campus Choice Teachers is currently seeking a reliable and skilled Motor Vehicle Technician to join a vibrant educational team at a campus in Hemel Hempstead. This is a fantastic opportunity for a mechanical professional looking for a better work-life balance while supporting the next generation of engineers and mechanics. The Role This is a hands-on, practical role where you will be the backbone of the automotive workshop. You will ensure the environment is safe, organised, and ready for students to learn. Hours: Monday – Thursday, 08:30 – 15:00 (No Friday or weekend work!) Start Date: ASAP Location: Hemel Hempstead Campus Contract: Temporary/Ongoing through Choice Teachers Key Responsibilities Workshop Management: General maintenance and organisation of the motor vehicle workshop. Technical Support: Assisting teaching staff and students with practical tasks including fabrication, electrical circuits, and engine work. Resource Management: Monitoring stock levels, ordering parts, and restocking consumables. Health & Safety: Ensuring all machinery, including drilling equipment and vehicle lifts, are maintained and used safely. Practical Assistance: Setting up equipment for demonstrations and helping students troubleshoot mechanical issues. Requirements A solid background in automotive repair or motor vehicle engineering. Proficiency in engine mechanics, basic fabrication, and electrical circuits. Confidence using workshop machinery (e.g., pillar drills, grinders). A proactive "can-do" attitude and the ability to work well with both staff and students. Must have (or be willing to undergo) an Enhanced DBS check. Why Apply? Excellent Hours: Finish by mid-afternoon and enjoy your Fridays off. Educational Environment: Move away from the high pressure of a commercial garage into a supportive teaching setting. Competitive Pay: Weekly pay through Choice Teachers. How to Apply: If you are a technician with a passion for sharing your skills and you are available to start immediately, please send your CV to Choice Teachers today

Gotpeople are working with a Waste & Recycling Operator and are looking for Waste & Recycling operatives to work in the Hemel Hempstead area. The role is due to commence from March and if you wish to be considered please send in your cv now! Requirements of the Refuse/Recycling Operatives: Follow all training and health and safety protocol whilst working on the round. Collect bins and recycling, safely load vehicle and replace bins throughout the round. Be physically fit and active as the role requires heavy lifting, manual handling and long periods of walking and standing. Have good communication skills, good teamwork skills,reliable and hard-working. Must be able to commit to regular early morning shifts. Happy to work outside in all weathers as the role will be on the road, accompanying vehicles. Responsibilities of the Refuse/Recycling Operatives: Attend all pre-work training and commit to all shifts once confirmed. Follow health and safety rules and wear PPE provided whilst on shift. Carry out all duties safely and follow instructions of the supervisor/driver at all times. Be flexible to work shifts as required and work well as part of the crew. The roles are early morning start with an afternoon finish. This is mainly a Monday to Friday role (37.5 hours per week) however the are still opportunities to be able to do part time work (15- 30 hours) for outstanding applicants

Role: Fulfilment Team Leader Location: Luton LU4 Hours: Morning or Afternoon shift available, must be available for both. AM shift 6am - 2:30pm / Evening shift 2:30pm-11pm Salary: £14p/h An excellent opportunity has now arisen for a Warehouse Shift Leader to join our clients successful team. Benefits: Rapidly growing company Bonuses once gone permanent Parking on site Great career progression within company Duties of a Fulfilment Team Leader: Overseeing the warehouse/fulfilment team Monitoring a large team of 20+ candidates Checking stock and orders Updating the internal spreadsheets Assigning correct jobs and orders to the team What we would like from you: Previous shift leader or management warehouse experience Great communication Problem solving abilities If you are interested in this role, please apply below with your most recent CV. WGCTEMPS By applying to this job advertisement, you confirm you have read and understood our and give OA Group authorisation to hold you provided data. Thank you for your interest in this vacancy, which is being advertised by OA Group, who are acting as an employment agency / business. Your application will be considered in competition with others and we will contact you within 3 working days

Earn £18 – £21 per hour as a Class 2 Driver! Luton | Monday–Friday | Food Delivery We’re expanding fast and need skilled Class 2 Drivers to join our busy food distribution team. If you like early starts, predictable hours, and being finished by the afternoon, this is the job for you. Why drivers love this role £18 PAYE / £22 Umbrella Monday to Friday Optional Saturdays £19.50ph PAYE / £23.50 Umbrella Start between 4am–7am 8–10 hour shifts Weekly pay straight into your account The work You’ll deliver food products to restaurants and retailers across London, with a mix of kerbside and on‑site deliveries. You’ll be the face of a respected national brand, so a friendly, professional approach is essential. What you’ll need At least 1 year Class 2 experience Cat C licence, CPC & Digi card Comfortable with manual handling London route knowledge is a plus Interested? Call Jay: (phone number removed) #INDLEI

CLASS 1 HGV DRIVERS WANTED AFTERNOON SHIFTS AVAILABLE!.

Cold Store Manager / Site General Manager.We are currently looking for an experienced Cold Store Supervisor to join our Wolverhampton site, supporting the day-to-day operations as we work towards making it the flagship location for Constellation Cold.This is a hands-on supervisory role, overseeing c

From our boutique home in Woolmer Green, we welcome guests from across Hertfordshire to enjoy luxury chocolate experiences, elegant Afternoon Teas, artisan coffee, handmade cakes and beautifully curated gifts. Front of House Host Luxury Afternoon Tea & Chocolate Experiences.

CLASS 1 HGV DRIVERS WANTED AFTERNOON SHIFTS AVAILABLE!Looking forreliable, well-paid afternoon workthat fits around your life? JoinDSS Recruitment the trusted agency for professional HGV drivers.

Head Waiter/ Waitress - Afternoon Tea.

A leading care recruitment agency seeks a Support Worker/Personal Assistant in West London to assist a joyful young adult with additional needs.The role includes supporting Zed in afterschool activities, personal care, and fostering his independence.Ideal candidates should bring a positive, patient

A leading delivery company in Greater London seeks a Parcel Delivery Driver to join a multi-drop team.Responsibilities include delivering parcels, utilizing route-planning tech, and ensuring top customer experience.Ideal candidates are self-motivated, organized, and possess a full UK manual driving

A luxury hotel in London is seeking a Head Waiter/Waitress for Afternoon Tea.

This permanent position starts on the afternoon shift after training.

You will work 2 – 3 hours in the morning and afternoon, joining a team that values staff wellbeing and teamwork.

This would suit someone enthusiastic, who can think on their feet and is a true team player and willing to work various shifts covering afternoon/evening which can be extremely busy.

In your role heading as Afternoon Tea Assistant Restaurant Manager you will manage all aspects of the Afternoon Tea Operaiton and, together with your team, strive to create memorable experiences for our guests. As the Afternoon Tea Restaurant primarily operates from Wednesday to Sunday, you must be

This hands-on role requires programming, setting, and operating CNC lathes, particularly INDEX C200 machines, during the afternoon shift.

A prestigious London hotel is seeking an Afternoon Tea Assistant Restaurant Manager to support the Restaurant Manager in overseeing Afternoon Tea operations.

A nationwide distribution client in Greater London is seeking Class 1 Drivers for trunking with an immediate start.The job involves new shifts of 9 to 14 hours, with a minimum of 8 hours guaranteed.Applicants must hold a C+E license for at least 12 months and have a clean Digi Card for recent work e

A leading independent educational institution in Greater London seeks a driver to transport pupils in a school fleet of minibuses.The role involves working 20 hours per week, split into two daily shifts.Candidates should have commercial driving experience.Additional hours may be available for variou

A leading supermarket chain is seeking a Customer Delivery Driver in Stevenage.The role involves delivering products to customers' homes, maintaining the delivery van, and assisting with online orders.Ideal candidates are organised, dedicated to customer satisfaction, and available for flexible shif

A leading retail company is seeking a Customer Delivery Driver in Grantham.This role offers flexible hours and involves delivering products directly to customers' homes while ensuring customer satisfaction.The ideal candidate will be organized, friendly, and prepared to assist in various tasks inclu

At Smith and Brock, we’re not just in the business of fresh produce, we’re in the business of people, relationships, and responsibility.As a proudly family‑run company, our values are at the heart of everything we do.We believe in quality without compromise, integrity in every interaction, and

A recruitment agency is seeking an Afternoon/Night Operator for a production team in Mid Devon.

A leading educational recruitment agency is seeking a dedicated SEN Teaching Assistant for a premier Blackpool Academy.The role focuses on providing 1:1 support for a non-verbal child in an Early Years setting, requiring specialized skills in alternative communication.Ideal candidates will be emotio

The role offers $18/hr for full-time work on day and afternoon shifts.

A prominent education recruitment agency is looking for an experienced Lunchtime Supervisor for a Mixed Secondary School in South West London, with an immediate start.The role involves ensuring student safety and promoting positive behavior during lunch hours, along with administrative support tasks

A logistics and manufacturing company in Gloucester is seeking an FLT Driver to perform warehouse duties and support logistics.You will be responsible for tasks such as picking, packing, and driving the forklift.Candidates should possess a valid counterbalance forklift license and warehouse experien

A leading enrichment center in the United Kingdom is looking for a dedicated Science & Biology Teacher.This role involves teaching students based on the MOE syllabus, motivating them to succeed, and engaging in curriculum development.Working hours are flexible, with sessions on weekdays and weekends

Responsibilities include handling morning and afternoon surgeries without on-call or home visit duties.

A community-focused school in Potters Bar is seeking a Part-Time KS2 Teaching Assistant for immediate start on Wednesday and Thursday afternoons.