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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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 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.

Are you looking for a new challenge and have an entrepreneurial mindset? Do you have a personality with the power to influence and connect? Will you make an impact with your desire to win? Then we have a great opportunity for you! Commercial Brand Development Manager - AFH Location - Uxbridge Contract - 12 Months Secondment What you become part of: An exciting opportunity has arisen to work in the newest area of our business, Alcohol Ready to Drink (ARTD). This new business unit is all part of keeping consumers at the centre of everything we do as we continue to develop our portfolio as a total beverage company. The Customer Activation role is key to driving our brand portfolio in the away from home environment through best in class activation and execution. Understanding the brand objectives and shopper insights enables this role to identify the right solution to grow penetration, frequency, or spend per trip as required. Keeping the budget under control and assigning spend to the right brands, packs and moments is key to ensuring we deliver the plan and maximise return of investment. This Customer Activation role is ultimately accountable for defining and delivering the ‘end to end’ shopper activation within our customers. Also working collaboratively with wider teams. What to expect from the role: • Develop a deep understanding of shopper barriers and purchase triggers, along with activation priorities, across all customers outside of Grocery, Discounters and E‑commerce. Maintain a strong view of key shopper trends and the competitive landscape, sharing insights directly with key customers and indirectly via sales teams., • Work closely with field sales and national sales teams to activate relevant shopper and brand strategies for your customers, ensuring delivery against agreed sales metrics., • Apply commercial acumen to assess the implications of decisions, making sound judgements that unlock best‑in‑class activation aligned to overall commercial priorities., • Manage and prioritise trade marketing investment across your customers, ensuring spend remains within budget and delivers a clear return on investment, including collaboration with external agencies where appropriate., • Act as the day‑to‑day marketing and brand contact for your customers, providing guidance, answers to queries and strategic recommendations. Skills & Essentials: To be successful in this role you need to demonstrate excellent planning skills & budgeting control; analytical and data processing; great communication, both verbal and written, and be confident in communicating with key stakeholders and customers. Experience gained from working within a customer facing role in Shopper Marketing, Sales, or Category Development is preferred. Compensation And Benefits • Hybrid Working (2 days WFH, 3 days office based), • 25 Days Annual Leave (exc. Bank Holidays), • Bonus Opportunity, • Private medical insurance (family cover), • Holiday Purchase opportunity, • Generous Staff Discount, • Mental Health Wellbeing Initiatives (Employee Assistant Programme), • Benefits platform with exclusive discounts and offers We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Field Sales Representative (AFH) Location: Bakers Street Contract Type: (Fixed Term Contract) Please note that the intended end date for this role is Friday 26th February 2027. Coca-Cola Europacific Partners is looking for an enthusiastic and dedicated Field Sales Representative to join our inclusive and vibrant team. This full-time field sales role comes with a salary of £32,484 and many compelling benefits. About Your Role As a Field Sales Representative, you will report to a local Field Sales Manager and deliver sales targets within an existing customer base by maintaining ongoing relationships and creating new business opportunities whilst becoming an expert in the soft drinks category. The customers you will be interacting with will vary by location, but typically include a mixture of independent convenience stores, licensed pubs, bars, restaurants and cafes. You will focus on promoting brands and solutions that align with business objectives. LET’S TALK ABOUT YOU! • We provide comprehensive training along with all the tools and support you need to succeed. While previous sales experience is beneficial, it isn’t essential. We’re looking for someone who works well within a team, enjoys staying active, and thrives in a practical, hands‑on role., • You would need a UK driving license or equivalent, eligibility to work in the UK, and living within a 60 minute commute from the location of the role are also essential., • Influencing and negotiation skills, experience driving positive outcomes with customers and securing sales through commercial, fact-based conversations., • Experience with manual handling of products, point of sale and/or equipment in a fast-paced environment., • Proficiency in using digital technologies, such as iPhone and iPad, to support sales activities, communication, and reporting., • Strong ability to independently manage your workload and schedule while meeting key targets., • Ability to grow business through digital engagement, using technology to enhance customer relationships and drive sales., • Excellent prioritisation skills, ensuring efficiency and managing multiple tasks effectively. WHAT’S IN IT FOR YOU? In return for your commitment, in this role you will receive a base salary of £32,484 plus a bonus of up to £8,000 (OTE) and the following benefits: • Company car and fuel card, • iPad and iPhone for use with this role, • Pension plan and share plan, • 2 Paid Volunteering days per year, • 25 days holiday + bank holidays, • Flexible benefits include the ability to buy and sell annual leave, discounts scheme etc, • Leading-edge in-house training and development, • Development opportunities and fantastic local management teams to help support your career path WHY CHOOSE US FOR YOUR NEXT ROLE? We have an amazing culture at CCEP; to find out more make sure you check out the people stories on our website ___ The closing date for applications is 11/05/26. We reserve the right to close this advertisement early if we receive a high volume of applications. To ensure you are considered for this role, we encourage you to apply as soon as possible. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Field Sales Representative (AFH) Location: Bakers Street Contract Type: (Fixed Term Contract) Please note that the intended end date for this role is Friday 26th February 2027. Coca-Cola Europacific Partners is looking for an enthusiastic and dedicated Field Sales Representative to join our inclusive and vibrant team. This full-time field sales role comes with a salary of £32,484 and many compelling benefits. About Your Role As a Field Sales Representative, you will report to a local Field Sales Manager and deliver sales targets within an existing customer base by maintaining ongoing relationships and creating new business opportunities whilst becoming an expert in the soft drinks category. The customers you will be interacting with will vary by location, but typically include a mixture of independent convenience stores, licensed pubs, bars, restaurants and cafes. You will focus on promoting brands and solutions that align with business objectives. LET’S TALK ABOUT YOU! • We provide comprehensive training along with all the tools and support you need to succeed. While previous sales experience is beneficial, it isn’t essential. We’re looking for someone who works well within a team, enjoys staying active, and thrives in a practical, hands‑on role., • You would need a UK driving license or equivalent, eligibility to work in the UK, and living within a 60 minute commute from the location of the role are also essential., • Influencing and negotiation skills, experience driving positive outcomes with customers and securing sales through commercial, fact-based conversations., • Experience with manual handling of products, point of sale and/or equipment in a fast-paced environment., • Proficiency in using digital technologies, such as iPhone and iPad, to support sales activities, communication, and reporting., • Strong ability to independently manage your workload and schedule while meeting key targets., • Ability to grow business through digital engagement, using technology to enhance customer relationships and drive sales., • Excellent prioritisation skills, ensuring efficiency and managing multiple tasks effectively. WHAT’S IN IT FOR YOU? In return for your commitment, in this role you will receive a base salary of £32,484 plus a bonus of up to £8,000 (OTE) and the following benefits: • Company car and fuel card, • iPad and iPhone for use with this role, • Pension plan and share plan, • 2 Paid Volunteering days per year, • 25 days holiday + bank holidays, • Flexible benefits include the ability to buy and sell annual leave, discounts scheme etc, • Leading-edge in-house training and development, • Development opportunities and fantastic local management teams to help support your career path WHY CHOOSE US FOR YOUR NEXT ROLE? We have an amazing culture at CCEP; to find out more make sure you check out the people stories on our website ___ The closing date for applications is 11/05/26. We reserve the right to close this advertisement early if we receive a high volume of applications. To ensure you are considered for this role, we encourage you to apply as soon as possible. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

We're currently recruiting for talented Bar Staff to help us create beautifully crafted drinks and provide exceptional customer service for Defence on a part time basis, contracted to 16 hours per week. As Bar Personnel, you will use your skills to deliver first-class service and perfectly presented drinks to our customers. You'll get given every opportunity to progress within a company that invests in its people, celebrates individuality, and rewards and recognises employees who go beyond the plate. Here's an idea of what your shift patterns will be: Variable shifts Could you bring your spark to Defence? Here's what you need to know before applying: Your key responsibilities will include: • Preparing perfectly blended drinks and serving high-quality food that delights our customers, • Maintaining an effective bar service with an emphasis on high-quality, efficient service, • Keeping the bar area clean, • Having a perfect knowledge of all beverages served in the bar, how to prepare them and how they should be presented, • Receiving and processing payments (cash and credit cards), • Being an enthusiastic team player and excellent communicator, • Representing Defence and maintaining a positive brand image, • Complying with Food Handling & Hygiene standards, • Be a brilliant communicator and easily build relationships, • Have a warm personality and smartly presented, • Be committed to delivering high levels of customer service, • Strive for excellence in an eager and motivated manner, • Take initiative and make decisions that are right for our customers, • Possess the ability to work under pressure Job Reference: com/3004/87256001/52672513/BU #Defence Compass Group UK&I is committed to fostering an environment where every individual can truly be themselves at work and has equal opportunities to advance in their careers. We strive to build a culture that respects and celebrates the unique talents, beliefs, backgrounds, and abilities of all our team members. We want our colleagues to feel valued, empowered to reach their full potential, and to thrive - because diversity is our strength!

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Field Sales Representative (AFH) Location: Bakers Street Contract Type: (Fixed Term Contract) Please note that the intended end date for this role is Friday 26th February 2027. Coca-Cola Europacific Partners is looking for an enthusiastic and dedicated Field Sales Representative to join our inclusive and vibrant team. This full-time field sales role comes with a salary of £32,484 and many compelling benefits. About Your Role As a Field Sales Representative, you will report to a local Field Sales Manager and deliver sales targets within an existing customer base by maintaining ongoing relationships and creating new business opportunities whilst becoming an expert in the soft drinks category. The customers you will be interacting with will vary by location, but typically include a mixture of independent convenience stores, licensed pubs, bars, restaurants and cafes. You will focus on promoting brands and solutions that align with business objectives. LET’S TALK ABOUT YOU! • We provide comprehensive training along with all the tools and support you need to succeed. While previous sales experience is beneficial, it isn’t essential. We’re looking for someone who works well within a team, enjoys staying active, and thrives in a practical, hands‑on role., • You would need a UK driving license or equivalent, eligibility to work in the UK, and living within a 60 minute commute from the location of the role are also essential., • Influencing and negotiation skills, experience driving positive outcomes with customers and securing sales through commercial, fact-based conversations., • Experience with manual handling of products, point of sale and/or equipment in a fast-paced environment., • Proficiency in using digital technologies, such as iPhone and iPad, to support sales activities, communication, and reporting., • Strong ability to independently manage your workload and schedule while meeting key targets., • Ability to grow business through digital engagement, using technology to enhance customer relationships and drive sales., • Excellent prioritisation skills, ensuring efficiency and managing multiple tasks effectively. WHAT’S IN IT FOR YOU? In return for your commitment, in this role you will receive a base salary of £32,484 plus a bonus of up to £8,000 (OTE) and the following benefits: • Company car and fuel card, • iPad and iPhone for use with this role, • Pension plan and share plan, • 2 Paid Volunteering days per year, • 25 days holiday + bank holidays, • Flexible benefits include the ability to buy and sell annual leave, discounts scheme etc, • Leading-edge in-house training and development, • Development opportunities and fantastic local management teams to help support your career path WHY CHOOSE US FOR YOUR NEXT ROLE? We have an amazing culture at CCEP; to find out more make sure you check out the people stories on our website ___ The closing date for applications is 11/05/26. We reserve the right to close this advertisement early if we receive a high volume of applications. To ensure you are considered for this role, we encourage you to apply as soon as possible. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to ___ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

\n \n \n \n Location: Davids House, Harrow\n \n \n \n Hours: 20 hours per week\n \n \n Salary: £17.33 per hour\n \n \n For this role, we are currently considering candidates who live within approximately 15 miles of the Care Home. This ensures commutes are manageable and support your wellbeing and work-life balance. If you live outside this area but would still find the commute manageable, please get in touch - we are happy to review individual circumstances.\n \n \n About the role \n We are looking for a skilled and motivated Chef to join our catering team at MHA. This is a rewarding role where you will play a vital part in supporting residents’ health, wellbeing and enjoyment of daily life through high-quality, nutritious meals. \n As a Chef, you will be responsible for preparing and serving meals that meet residents’ dietary and nutritional needs, while respecting individual choice, dignity and cultural preferences. You will help maintain a safe, efficient and welcoming kitchen environment, in line with food safety legislation and MHA values. \n What you will do \n \n • Prepare, cook and serve nutritious meals for residents, visitors and staff, including catering for occasional events.\n, • Plan menus with the Home Manager to ensure meals are balanced, appealing and meet individual dietary needs, including those of residents living with dementia.\n, • Ensure full compliance with food hygiene, health & safety and HACCP requirements, maintaining accurate records and audits.\n, • Manage food stocks and ordering, ensuring cost-effectiveness and adherence to agreed budgets.\n, • Maintain high standards of cleanliness and hygiene in all kitchen and food storage areas.\n, • Supervise and support kitchen assistants and oversee others using the kitchen.\n, • Assist with the induction and training of new kitchen staff.\n, • Previous experience cooking in a care, hospitality, restaurant or pub environment.\n, • Knowledge and understanding of food safety and HACCP principles.\n, • The ability to work well as part of a team and communicate clearly with colleagues.\n, • A flexible approach to work and willingness to work a 7-day rota.\n, • Sensitivity to the needs of older people and a commitment to quality and customer-focused service.\n, • Willingness to undertake further training and development as required.\n, • 28 days holiday (including bank holidays) and an option to buy annual leave (pro-rota for part time).\n, • A strong pension scheme and life assurance\n, • Free DBS checks and uniforms (where applicable)\n, • Confidential counselling, chaplaincy support and access to our hardship fund\n, • Flexible options to buy or sell annual leave, plus family-friendly policies\n, • Discounts through the Blue Light Card, Health Service Discounts and the Vivup app\n, • A full induction, ongoing training and clear development opportunities\n

\n \n \n \n Location: David's House, Harrow\n \n \n \n Hours: Relief/Bank hours per week\n \n \n Salary: £17.33 per hour\n \n \n For this role, we are currently considering candidates who live within approximately 15 miles of the Care Home. This ensures commutes are manageable and support your wellbeing and work-life balance. If you live outside this area but would still find the commute manageable, please get in touch - we are happy to review individual circumstances.\n \n \n About the role \n We are looking for a skilled and motivated Chef to join our catering team at MHA. This is a rewarding role where you will play a vital part in supporting residents’ health, wellbeing and enjoyment of daily life through high-quality, nutritious meals. \n As a Chef, you will be responsible for preparing and serving meals that meet residents’ dietary and nutritional needs, while respecting individual choice, dignity and cultural preferences. You will help maintain a safe, efficient and welcoming kitchen environment, in line with food safety legislation and MHA values. \n What you will do \n \n • Prepare, cook and serve nutritious meals for residents, visitors and staff, including catering for occasional events.\n, • Plan menus with the Home Manager to ensure meals are balanced, appealing and meet individual dietary needs, including those of residents living with dementia.\n, • Ensure full compliance with food hygiene, health & safety and HACCP requirements, maintaining accurate records and audits.\n, • Manage food stocks and ordering, ensuring cost-effectiveness and adherence to agreed budgets.\n, • Maintain high standards of cleanliness and hygiene in all kitchen and food storage areas.\n, • Supervise and support kitchen assistants and oversee others using the kitchen.\n, • Assist with the induction and training of new kitchen staff.\n, • Previous experience cooking in a care, hospitality, restaurant or pub environment.\n, • Knowledge and understanding of food safety and HACCP principles.\n, • The ability to work well as part of a team and communicate clearly with colleagues.\n, • A flexible approach to work and willingness to work a 7-day rota.\n, • Sensitivity to the needs of older people and a commitment to quality and customer-focused service.\n, • Willingness to undertake further training and development as required.\n, • 28 days holiday (including bank holidays) and an option to buy annual leave (pro-rota for part time).\n, • A strong pension scheme and life assurance\n, • Free DBS checks and uniforms (where applicable)\n, • Confidential counselling, chaplaincy support and access to our hardship fund\n, • Flexible options to buy or sell annual leave, plus family-friendly policies\n, • Discounts through the Blue Light Card, Health Service Discounts and the Vivup app\n, • A full induction, ongoing training and clear development opportunities\n

Shorterm Group are looking for a Yard Operative in West DraytonMonday to Friday8-5 Mon, 8-4:30 Tue to Thur, 8-4 Fri40 hours paid per week £17 per hour via Umbrella Duties: working outdoor in their yard, sweeping, serving customers, filling polly bags etc. IF you are interested, please call Natalie on

Assistant Manager - The Hare, Old Redding Assistant Manager On Target Earnings 16 - 16.50 per hour * (Basic 12.82 plus average TRONC) Minimum 35-hour Contract (up to 48 hours per week) At Heartwood Collection, we're on the lookout for passionate and vibrant individuals to join our team as an Assistant Manager We're an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. What we offer: • Competitive salary package, includes TRONC*, • Contract of 48 hours, • Bespoke training and development through our Stepping Stones programme, • Access to the Employee Assistance Program with Hospitality Action, • Instant pay access through EarlyPay, • Enhanced Maternity & Paternity leave, • Up to 1,500 Referral Bonus, • 50% off food at any Heartwood Inns or Brasserie Blanc, plus a 20% discount for family and friends, • A birthday gift and Long Service Recognition, • Discounts on hundreds of retailers and experiences via Reward Gateway, • Passionate and vibrant personality, a real people person who cares for the guests, team and experience, • Confident in running a service from the floor, fresh food restaurant experience and delivering training and support to team members, • Able to run different aspects of hospitality, including bar, host stand (and reception for rooms site), with a proven record of leadership skills, • Sunday Times Best Places to Work winner 2024, • Double winner at the Publican Awards 2024 Join us and be part of a community that's warm, genuine, and full of life. *On Target Earnings is based on a 48-hour working week, TRONC is calculated from the expected 6 months' site average Please note, we cannot take applications from overseas or that require sponsorship

Food Truck Catering Manager - Wembley Stadium - Wembley, London \n\n Job description \n\n Food Truck Catering Manager – London Events Team \n \n£20 per hour + Holiday Pay \n \nWork across London’s top venues, including Wembley Stadium, Lord’s, London Stadium & Twickenham \n \nThis isn’t just another catering job — this is major events. \n \nWe’re looking for a confident, high-energy Catering Manager to lead operations across premium food truck units at some of the UK’s most iconic venues. \n \nIf you thrive in fast-paced environments, enjoy leading teams, and want to be part of large-scale sporting and entertainment events, this is a standout opportunity. \n\n Job requirements \n\n What We’re Looking For \n\n\n\t • 3+ years’ experience in high-volume hospitality, street food, or event catering\n\t, • Proven experience leading teams in busy environments\n\t, • Strong communication and decision-making skills\n\t, • Ability to stay calm and effective under pressure\n\t, • Organised, hands-on, and proactive approach\n\t, • Overseeing high-volume food truck operations\n\t, • Cooking and serving to large crowds\n\t, • Leading, motivating, and coordinating team members\n\t, • Delivering fast, efficient, high-quality service\n\t, • Managing queues and maintaining smooth service flow\n\t, • Handling stock control and minimising waste\n\t, • Opening and closing units efficiently\n\t, • £20 per hour\n\t, • Work at some of the UK’s most iconic venues:\n\t\n\t\t, • Wembley Stadium\n\t\t, • London Stadium\n\t\t, • Lord’s Cricket Ground\n\t\t, • Twickenham\n\t\n\t\n\t, • Meals provided during shifts\n\t, • Opportunity to gain large-scale event experience\n\t, • Ongoing work available across multiple events\n\n\n \nWho This Is Perfect For \nLondon-based hospitality professionals looking to step into high-profile events and take on a leadership role in a fast-paced, rewarding environment. \n \nBring your leadership, energy, and experience — and be part of delivering exceptional event catering across London.

Impact Food Group (IFG) is one of England’s fastest-growing school food providers, serving around one million students every day across more than 1,500 schools. We are dedicated to delivering high-quality, nutritious meals that support student wellbeing and enjoyment. \n\n Our brands include Innovate, Cucina, Chapter One (Independent Schools), Hutchison, and Dolce, reflecting our breadth of experience and reach across the school catering sector. \n\n The role… \n\n Job Title: Cook Manager \n\n School Location: Uxbridge area - initally starting at Ryefield Primary School (UB10) \n\n Working Days: Monday to Friday \n\n Shifts & Working hours: 8am-3:30pm (35 hours per week) \n\n Working Weeks: 39 weeks per year (term time plus inset days) \n\n Pay Details: £26,500 per Annum \n\nWhat will I be doing?\n\n As a Cook Manager, you’ll lead a friendly kitchen team to deliver fresh, seasonal meals to students each day. This is a hands-on management role, where you’ll oversee the kitchen, support your team, and ensure smooth service. \n\n Your responsibilities will include: \n\n\n\t • Managing the day-to-day running of the kitchen\n\t, • Leading, motivating, and developing your catering team\n\t, • Preparing and serving fresh, seasonal meals for the school\n\t, • Planning menus, managing stock, and ensuring compliance with food hygiene and safety standards\n\t, • Liaising directly with onsite clients and stakeholders\n\t, • Previous experience managing a kitchen, ideally in schools or high-volume catering environments\n\t, • Skilled in preparing fresh, seasonal food\n\t, • Strong people management and team leadership skills\n\t, • Good organisational and communication skills\n\t, • A proactive, hands-on approach with pride in maintaining high standards\n\t, • Daytime hours, no evenings or weekends\n\t, • All school holidays off\n\t, • Opportunities for training, development, and career progression\n\t, • Access to free qualifications\n\t, • Staff discount scheme across 850+ retailers\n\t \n\n IFG are committed to the safeguarding of children, and our employees share this commitment. Successful candidates are required to undergo an enhanced DBS disclosure and children’s barred list check, which IFG will pay for. \n\n We are a committed equal opportunities employer - if you require any assistance for the interview process, please detail within your application. All information is kept confidential and in compliance with GDPR requirements.

Chef de Partie - The White Bear, Ruislip Chef de Partie Basic Rate up to 13.10 per hour PLUS TRONC On Target Earnings 15 - 15.50* (Including TRONC) At Heartwood Collection, we're on the lookout for passionate and vibrant individuals to join our kitchen team as a Chef de Partie We're an award-winning group of cosy pubs and atmospheric brasseries that truly feel like home. From the elegance of Brasserie Blanc to the charm of Heartwood Inns, we pride ourselves on serving fresh, seasonal dishes to our local communities. What we offer: • Package and hourly rate includes basic + TRONC*, • Bespoke training and development through our Stepping Stones programme, • Access to the Employee Assistance Program with Hospitality Action, • Instant pay access through EarlyPay, • Enhanced Maternity & Paternity leave, • Up to 1,500 Referral Bonus, • 50% off food at any Heartwood Inns or Brasserie Blanc, plus a 20% discount for family and friends, • A birthday gift and Long Service Recognition, • Discounts on hundreds of retailers and experiences via Reward Gateway, • Have a passion and a proven track record in delivering great quality and fresh food, • Able to work at least 2 sections as part of the kitchen team and follow recipes, • Sunday Times Best Places to Work winner 2024, • Double winner at the Publican Awards 2024 Join us and be part of a community that's warm, genuine, and full of life. *The hourly rate/ package includes TRONC, calculated from the expected 6 months' average. Please note, we cannot take applications from overseas or that require sponsorship

Food Truck Catering Manager - Allianz Stadium - Twickenham, London \n\n Job description \n\n Food Truck Catering Manager – London Events Team \n \n£20 per hour + Holiday Pay \n \nWork across London’s top venues, including Wembley Stadium, Lord’s, London Stadium & Twickenham \n \nThis isn’t just another catering job — this is major events. \n \nWe’re looking for a confident, high-energy Catering Manager to lead operations across premium food truck units at some of the UK’s most iconic venues. \n \nIf you thrive in fast-paced environments, enjoy leading teams, and want to be part of large-scale sporting and entertainment events, this is a standout opportunity. \n\n Job requirements \n\n What We’re Looking For \n\n\n\t • 3+ years’ experience in high-volume hospitality, street food, or event catering\n\t, • Proven experience leading teams in busy environments\n\t, • Strong communication and decision-making skills\n\t, • Ability to stay calm and effective under pressure\n\t, • Organised, hands-on, and proactive approach\n\t, • Overseeing high-volume food truck operations\n\t, • Cooking and serving to large crowds\n\t, • Leading, motivating, and coordinating team members\n\t, • Delivering fast, efficient, high-quality service\n\t, • Managing queues and maintaining smooth service flow\n\t, • Handling stock control and minimising waste\n\t, • Opening and closing units efficiently\n\t, • £20 per hour\n\t, • Work at some of the UK’s most iconic venues:\n\t\n\t\t, • Wembley Stadium\n\t\t, • London Stadium\n\t\t, • Lord’s Cricket Ground\n\t\t, • Twickenham\n\t\n\t\n\t, • Meals provided during shifts\n\t, • Opportunity to gain large-scale event experience\n\t, • Ongoing work available across multiple events\n\n\n \nWho This Is Perfect For \nLondon-based hospitality professionals looking to step into high-profile events and take on a leadership role in a fast-paced, rewarding environment. \n \nBring your leadership, energy, and experience — and be part of delivering exceptional event catering across London.

Impact Food Group (IFG) is one of England’s fastest-growing school food providers, serving around one million students every day across more than 1,500 schools. We are dedicated to delivering high-quality, nutritious meals that support student wellbeing and enjoyment. \n\n Our brands include Innovate, Cucina, Chapter One (Independent Schools), Hutchison, and Dolce, reflecting our breadth of experience and reach across the school catering sector. \n\n We’re recruiting for a Central Support Chef to join our fantastic team, supporting a portfolio of schools. This is a varied and rewarding role where you’ll assist with training and developing onsite chefs, provide cover across sites, and play a key role in new site mobilisations. \n\n Please note: As this is a mobile, area-based role, you must hold a full UK driving licence and have access to your own vehicle. \n\n The role… \n\n Job Title: Central Support Chef \n\n Area Covering: Ealing, Twickenham, Ruislip, Uxbridge \n\n Working Days: Monday to Friday \n\n Shifts & Working hours: 45 hours per week \n\n Working Weeks: 42 weeks per year (Term time, inset days and 3 additional weeks)) \n\n Pay Details: £35,000 per annum, & mileage expenses \n\n Benefits: Free meals on shift, uniform, pension and other great company benefits \n\nWhat’s this all about?\n\n Due to continued growth, we have an exciting opportunity for an experienced Chef Manager to step into a broader, multi-site role. \n\n You’ll work closely with the Operations Manager, supporting a group of schools by: \n\n\n\t • Covering chef manager absences across sites\n\t, • Supporting with the training and development of onsite catering teams\n\t, • Assisting with the mobilisation of new contracts\n\t, • Maintaining high standards of food quality, service, and compliance\n\t, • Previous Chef Manager experience (ideally within secondary education)\n\t, • A genuine passion for food and customer service\n\t, • Strong craft skills and the ability to lead by example\n\t, • Excellent organisation, flexibility, and resilience\n\t, • Free meals on shift and provided uniform\n\t, • Paid mileage for travel between sites\n\t, • Access to a company pension scheme\n\t, • Ongoing training, development, and career progression opportunities\n\t, • Free qualifications to support your growth\n\t, • A staff discount scheme across 850+ retailers\n\t \n\n IFG are committed to the safeguarding of children, and our employees share this commitment. Successful candidates are required to undergo an enhanced DBS disclosure and children’s barred list check, which IFG will pay for. \n\n We are a committed equal opportunities employer - if you require any assistance for the interview process, please detail within your application. All information is kept confidential and in compliance with GDPR requirements.

The Role Based on-site at HMP Wormwood Scrubs, you will deliver Health and Safety, working with small groups of prison-based learners to develop their skills, knowledge and behaviours while supporting them with their long-term goals and aspirations. Our Tutors ensure that the appropriate training plans are in place and that the advice and guidance is given when required while ensuring they deliver the highest level of quality courses that engage with the learners and help them to reach their potential. What we are looking for • Level 2 Vocational qualification, • An expert in your field with substantial vocational experience, • Experience of delivering vocational based training, • A teaching or assessing qualification is desirable, • Ability to display a wide range of training methods to engage learners If you don’t currently hold a teaching or assessing qualification, we are able to support you through the appropriate qualifications and assessments, as part of your probationary period. For full details of the role and the person specification please review the job description or If you would like to speak to the recruitment team before you apply, please email any questions to and one of the team will come back to you. If you wish to apply, please ensure this is done via the apply now button. Applications cannot be accepted via email. Who We Are Here at People Plus, we make a positive difference to people’s lives – every single day. We use our experience to support hundreds of thousands of people each year. Our committed teams work across Britain to deliver a range of public services, including employment support, skills training, prison education, starting a business, and support to help employers grow. To put it simply, we: • Support people to find and keep jobs, • Help people to set up their own businesses, • Deliver skills training to further people’s careers, • Work with employers to build a skilled and happy workforce, • Rehabilitate people with convictions, • Tackle the root causes of offending, • Support carers We are extremely proud to be a Gold accredited Investors in People organisation. This demonstrates our commitment to creating the very best environment and culture for our colleagues to succeed and thrive. We are committed to transforming the lives of people with convictions through our work in prisons. Our services have been designed to tackle the underlying causes of offending behaviour so people can make positive changes to their lives. With more than 500 people working to support people with convictions in custody and in the community, we bring passion, experience and innovation to public sector rehabilitation services. We also work with specialist partner organisations to help people move away from their past and look forward to a brighter future. All of our services are designed in partnership with the people who we’re trying to help and away from our direct work with people serving their sentences, we’re working hard to change attitudes towards people who can often be tarnished unfairly following criminal convictions. Our Social Recruitment Framework brings together organisations to tackle any pre-conceived ideas about hiring people who have previously been involved in crime. We also work with employers on the Ban the Box initiative to support fair and equal recruitment processes and have engaged industry to influence our employer-led curriculum delivered to our learners.

Principal Speech & Language Therapist Dual Site — Acton and Southall, West London Permanent Full Time — 35 hours per week, Monday to Friday £54,320 – £64,500 per annum (Inner London) The Opportunity We are proud to be recruiting on behalf of a highly regarded specialist educational organisation dedicated to the support and development of autistic children and young people. This is an outstanding opportunity for an experienced Speech and Language Therapist to take on a senior clinical leadership position within a dynamic, multidisciplinary team in West London. You will be joining a well-established specialist school operating across two sites in the Acton and Southall areas of West London, serving young people aged 4.5 to 22 years. With over 50 years of expertise in providing holistic, personalised education for autistic pupils, the school holds an outstanding reputation and operates a large, collaborative therapy team of 8–9 therapists across its two sites. For an SLT who is passionate about neuro-affirming practice, leadership, and making a meaningful difference, this is a genuinely exciting role. About the Role As Principal Speech and Language Therapist, you will hold senior accountability for therapy outcomes across the school, working closely with the Head of Therapy and the Senior Leadership Team to drive quality, innovation and continuous improvement. The role is at the heart of embedding therapy into everyday classroom life, ensuring every pupil receives the tailored, communication-accessible support they need. You will lead and manage the school-based therapy team, provide clinical supervision, oversee EHCP-aligned intervention planning, and contribute to curriculum design and whole-school strategic development. The role also offers clear pathways for career progression into wider NAS network leadership, research and policy roles. Key Responsibilities • Lead and manage the school-based therapy team, providing clinical leadership, supervision and performance oversight, • Develop, implement and quality-assure evidence-based, neuro-affirming therapeutic practice across the school, • Embed outcome-focused interventions into everyday school practice, routines and curriculum delivery, • Work in close partnership with families to strengthen parental engagement and support positive change across the family system, • Collaborate with education staff, multidisciplinary colleagues and external professionals to deliver integrated, joined-up provision, • Contribute to the design, delivery and review of curriculum content to ensure it is communication-accessible and therapeutically informed, • Drive service development using data, outcomes and feedback to continuously improve practice, • Contribute to local and national projects, research activity and service innovation, • Act as a senior leader within the school, contributing to strategic planning, decision-making and whole-school improvement, • Maintain own HCPC and RCSLT registration and ensure colleagues maintain registration with relevant professional bodies What We Are Looking For Essential • HCPC-registered and RCSLT-member Speech and Language Therapist with significant post-qualification experience (minimum 6 years), • Senior leadership or management experience within a school-based or specialist therapy setting — autism-specific experience highly desirable, • Proven experience delivering clinical supervision, • Strong commitment to evidence-based, neuro-affirming and strengths-based practice, • Understanding of therapeutic curriculum development and quality assurance in independent special schools, • Excellent communication, project management and strategic planning skills, • Experience working across paediatric and early adulthood settings, • AAC (Augmentative and Alternative Communication) specific experience, • Track record of developing and managing partnerships with external stakeholders Why This Role Stands Out • Inner London salary band: £54,320 – £64,500 per annum, • Term-time contract with full pay during school holidays — approximately 12 weeks paid leave per year, • Join an established team of 8–9 therapists within a school with over 50 years of specialist autism expertise, • Clear career progression pathways into Head of Therapy, regional leadership, research and national policy roles, • Comprehensive benefits package including pension, Simply Health cash plan, Life Assurance (2x base salary), 24/7 Employee Assistance Programme, Headspace app and retail discounts, • Employer pension contribution of 6% of gross salary (employee minimum 4%), • Funding and time off available towards further qualifications; specialist CPD and online learning academy, • Relocation support considered for the right candidate, • Dual-site role across two West London locations — candidates should be comfortable with travel between sites, • Meaningful, values-driven work within a nationally recognised, outstanding-rated specialist school

Head Chef – Hounslow\nSalary: £16.80 per hour \nHours: 40 hours per week\n\nWe are seeking an experienced and driven Head Chef to lead a busy, high-volume kitchen in Hounslow. This is an exciting opportunity for a passionate culinary professional to oversee a dynamic food operation serving up to 400 covers per day, alongside delivering exceptional hospitality services for on-site events and meetings.\n\nPlease note: This role requires security clearance and a 5-year continuous work history with no gaps.\n\nKey Responsibilities\n\nLead, motivate, and manage the kitchen team to deliver exceptional food standards\n\nOversee high-volume food production and ensure smooth daily service\n\nDeliver high-quality hospitality catering for client events and meetings\n\nBuild strong client relationships and ensure service excellence\n\nManage stock control, food safety, and compliance standards\n\nDrive innovation and menu development within a contract catering environment\n\nAbout YouProven experience as a Head Chef in a high-volume environment\n\nPrevious contract catering experience is essential\n\nStrong leadership and team management skills\n\nAbility to deliver both bulk catering and high-end hospitality services\n\nExcellent communication and client engagement skills\n\nPassion for food quality, presentation, and customer service\n\nRequirementsCity & Guilds 706/1 & 2 or NVQ equivalent\n\nFood Hygiene Certificate\n\nExperience supervising a team in a similar chef role\n\nFlexible approach to working hours\n\nWillingness to complete a trade test as part of the recruitment process\n\nIf you are an organised, quality-focused Head Chef ready to take ownership of a fast-paced kitchen and deliver outstanding service, we would love to hear from you.\n\nAbout Us\n\nWe connect workplaces to mindful, flavourful & planet-positive catering\n\nAt Eurest, we are the experts in workplace catering, operating in over 700 workspaces every day. We know that fuelling employees throughout the day can help to sharpen their thinking, nourish their bodies and minds and ultimately, motivate them to perform at their best. Our workplace food experiences are driven by our promise to live more sustainably and responsibly, working towards our goal of net zero by 2030.\n\nWe're people-powered at Eurest

We are currently recruiting for a Front of House / Catering Assistant to join a busy and friendly team on a temp-to-perm basis. This is a fantastic opportunity for an enthusiastic individual who enjoys working in a customer-facing role within a fast-paced catering environment.\n\nKey Responsibilities\n\nProviding excellent front-of-house customer service\nServing hot lunches to customers in a professional and friendly manner\nTaking and preparing coffee and sandwich orders\nMaintaining cleanliness and presentation of serving areas\nSupporting the team during busy service periodsLocation: Uxbridge\n\nHours: 36 hours per week (Mon-Thurs 7:00am-3:00pm, Fri 7:00am-1:00pm)\n\nPay: £13 per hour (approx. £25,500 salary upon permanent placement)\n\nAbout You\n\n Strong English communication skills (spoken and written)\n\nConfident dealing with customers and providing great service\nEnergetic, proactive, and able to work well under pressure\nA positive, can-do attitude with a willingness to step up when needed\nBarista experience is desirable but not essentialAdditional Information\n\nA local candidate or someone with their own transport is preferred\nSuccessful candidates will transfer from agency to permanent after 12 weeks\nPermanent hours will increase to 37.5 hours per weekInterested? Apply now to be considered for this exciting opportunity!\n\nPlease note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job

Internal Sales Executive - Electrical Wholesale\n\n\n\nElectrical Wholesale Sales Advisor / Internal Sales Executive. A Harrow based electrical wholesaler have an opportunity for an Internal Sales Executive / Telesales Executive to join the team in both an office-based position and a customer facing trade counter role.\n\nThe Electrical Wholesale Sales Advisor / Internal Sales Executive will either make outbound B2B telesales calls contacting businesses who would use their products whilst managing accounts and establishing long lasting relationships with existing customers and would also be down on the trade floor serving customers and liaising with warehouse workers. The appropriate candidate would be someone who is willing to help in all areas, this generally comes with the territory of a role like this.\n\nThe Internal Sales Executive / Telesales Executive will need:\n\nOutbound telesales experience\nExperience of selling to suitable decision makers\nExcellent communication skills\nExperience working for an Electrical Wholesaler.\nTrade Counter experience desirable\nDriving Licence preferred but not essentialThe Internal Sales Executive / Telesales Executive salary up to 40k depending on experience plus commission, profit share and other bonuses.\n\n45 hours a week with potential of overtime on Saturday mornings

Job Title: Process and Project Manager – Operations / Supply Chain / ERP Focus\n\nLocation: Hayes, UK ( hybrid flexibility )\nSalary: £60,000 + bonus\n\nAbout the Role:\nWe are seeking a proactive and experienced Process and Project Manager to lead business-critical projects focused on process improvement and system optimisation. This is a pivotal role within a high-growth, consumer-focused business, helping to shape the way teams work across operations and supply chain functions.\n\nYou will play a key role in analysing and improving business processes, driving efficiency, and ensuring ERP and CRM systems meet operational needs. This is an excellent opportunity for someone with strong project management skills and a passion for change management.\n\nQualifications & Skills:\n \nBachelor’s degree in Business, Project Management, or related field. \nProject management certification (PMP, Prince2, or equivalent). \nMinimum of 5 years’ experience in process and project management, ideally in an international context. \nProven track record of delivering large-scale projects on time and within budget. \nStrong understanding of process and project management methodologies (Agile, Waterfall, Lean). \nProficiency with project management software (MS Project, Teams, Planner). \nExcellent change management, communication, and stakeholder engagement skills. \nAbility to work independently and collaboratively in a fast-paced environment. \nCandidates must be within a 45 minutes commute to Hayes Key Responsibilities:\n \nAnalyse and optimise operations and supply chain processes to enhance efficiency and align with international standards. \nIdentify inefficiencies, bottlenecks, and areas for improvement, implementing solutions to streamline workflows. \nLead projects, tracking timelines, risks, and deliverables to ensure successful implementation. \nCoordinate initiatives with teams across departments and geographies, serving as the main point of contact for stakeholders. \nWork closely with technical teams to ensure ERP/CRM systems are configured to meet business needs. \nProvide training, documentation, and support for staff to ensure successful adoption of new processes and systems. \nSupport ongoing continuous improvement initiatives and maintain data integrity within ERP/CRM systems. Benefits:\n \n25 days holiday per year \nPrivate health insurance and pension \nOpportunities for professional development and cross-functional collaboration \nStaff purchase schemes and product benefits

Internal Sales Executive - Electrical Wholesale\n Electrical Wholesale Sales Advisor / Internal Sales Executive. A Harrow based electrical wholesaler have an opportunity for an Internal Sales Executive / Telesales Executive to join the team in both an office-based position and a customer facing trade counter role.\n The Electrical Wholesale Sales Advisor / Internal Sales Executive will either make outbound B2B telesales calls contacting businesses who would use their products whilst managing accounts and establishing long lasting relationships with existing customers and would also be down on the trade floor serving customers and liaising with warehouse workers. The appropriate candidate would be someone who is willing to help in all areas, this generally comes with the territory of a role like this.\n The Internal Sales Executive / Telesales Executive will need:\n\nOutbound telesales experience\nExperience of selling to suitable decision makers\nExcellent communication skills\nExperience working for an Electrical Wholesaler.\nTrade Counter experience desirable\nDriving Licence preferred but not essentialThe Internal Sales Executive / Telesales Executive salary up to 40k depending on experience plus commission, profit share and other bonuses.\n 45 hours a week with potential of overtime on Saturday mornings

Recruiting for an experienced front of house/catering assistant for a temp to perm position.\n\nBarista experience would be helpful, although not essential for the right candidate. Must have good English speaking/reading abilities who can converse with customers whilst serving hot lunches and understand coffee and sandwich orders.\n\nThe ideal candidate must have good customer interface skills, as well as energy and enthusiasm and the ability to step up on busy days.\n\nThe hours to be begin with are Monday – Thursday 7:00am – 3:00pm and Friday 7:00am – 1:00pm, total of 36 hours, after breaks.\n\nA local candidate would be helpful, or someone that can drive if further away.\n\n£13 an hour.\n\nMust have food safety Level 2 and Allergens certificates\n\nMust have smart appearance. No facial piercings or visible tattoos\n\nIND/HS

Line Up Aviation is a specialist recruitment company serving the aviation and aerospace sectors for over 35 years. We partner with some of the industry's most renowned organisations, delivering the highest standards of service.\n\nWe are delighted to be recruiting for the following position on behalf of our client based at London Heathrow Airport. This is a unique opportunity to join a state-of-the-art engine overhaul facility and benefit from industry-leading training.\n\nTo be considered for this position, you should be an experienced aircraft engine mechanic and hold the legal right to work in the UK at the time of application.\n\nJob Title: Engine Support Mechanic\n Location: Heathrow Airport\n Job Type: Permanent, Fulltime \n Shift: 5-5-4 plus shift premium and London weighting allowance\n Package: Highly competitive salary + exceptional benefits package including \n Company funded Bupa private medical healthcare, medical assistance schemes, access to retail & gym membership discounts, competitive company pension scheme\n\nScope of Role\n\nAs a Global Engine Support Mechanic, you will perform and certify a range of on-wing and off-wing engine maintenance and inspection tasks in accordance with approved maintenance data and Part-145 regulatory requirements, while ensuring full compliance with the policies and procedures outlined in the company's Maintenance Organisation Exposition (MOE).\n\nResponsibilities \n\nAdherence to company HSE, compliance and quality standards, policies and procedures\nCompletion and release to service of critical engine maintenance and inspection activities\nCompliance to 145 regulations and approved maintenance data\nAccurate completion of maintenance records and documentation\nRepresent the company in a customer focused environment\nCollaborate and communicate effectively within muti-functional and diverse teams\nObtain the relevant competencies, approvals and passes required to deliver the role\n Experience & Qualifications: \n\nMinimum 24 months experience of aircraft and or engine line & base maintenance / MRO activities\nExperience of working on Rolls-Royce, GE, CFM / LEAP engines\nExperience of issuing ARC / release to service documentation is preferable\nExperience of carrying out Engine Borescope inspections is preferable

We have an exciting opportunity to work within our higher education client as a Retail Assistant.\n\nRole: Retail Assistant\n\nLocation: Uxbridge \n\nPay: £13.51\n\nDuration: asap until the end of July 2026\n\nHours: 7 day week rota - 7 hours per day (flexible through out the week)\n\nSummary:\n\nThis role will encompass all the general day-to-day duties of a Retail assistant working in a busy store. These duties include; serving customers, replenishing stock and keeping the shop floor clean and tidy. The overarching objective of the role is to provide excellent customer service that contributes in enhancing the student experience and adds value to our campus community.\n\nAccountabilities and responsibilities:\n\nWelcome customers, answer general queries and maintaining high levels of customer service at all times.\nHandle cash using EPOS tills, includes handling of credit/debit cards and the reconciliation of the tills in line with the University's cash handling policy.\nSummary:\n\nThis role will encompass all the general day-to-day duties of a Retail assistant working in a busy store. These duties include; serving customers, replenishing stock and keeping the shop floor clean and tidy. The overarching objective of the role is to provide excellent customer service that contributes in enhancing the student experience and adds value to our campus community.\n\nAccountabilities and responsibilities:\n\nWelcome customers, answer general queries and maintaining high levels of customer service at all times.\nHandle cash using EPOS tills, includes handling of credit/debit cards and the reconciliation of the tills in line with the University's cash handling policy.\nComply with Health and safety regulations and demonstrate understanding of Food Safety.\nOrder products from suppliers, process deliveries, reconcile delivery notes and replenish stock according to planogram. Stock replenishing may involve lifting product cases of up to 20Kg.\nCheck and maintain stock levels instore and complete regular stocktaking.\nFollow Standard operating procedures such as completing the opening and closing checklists correctly and adhering to brand standards.\nCarry out appropriate checks and follow procedure when serving age restricted products.\nAttend work looking clean, smart and wearing the provided uniform correctly.\nAttend and complete all compulsory training as required.\nMotivate agency staff to achieve their daily targets as set by the Senior Retail Assistants.\nCommunicate effectively, on a daily basis, with the Retail management team, colleagues and customers.\nBake products in the in-store bakery following food safety procedures and processes.\nDelivery of online shopping orders within the University campus in accordance with the delivery procedure.Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.\n\nBy applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website

Experienced General Manager - Modern British Restaurant We are currently recruiting for an experienced General Manager to join the team at this fantastic, independently owned group of brasseries & larders serving modern British food with a real focus seasonal produce from around the UK. As The General Manager you would will be based in West London, you will lead the Restaurant team in the daily running of the restaurant, ensuring that the highest standards are always maintained. The Perks As General Manager you can expect the following: • Extremely competitive base salary, • Monthly bonus and reward schemes, • Casual dress, • Gym membership, • Generous discounts across the group in both the stores & restaurants, • Referral Bonus Scheme, • Complimentary Anniversary Meal: Every 12 months, for 2 people, • Contributory pension scheme, • Cycle to work scheme, • Two free meals on shift, • Career development, training, and support to progress your career, • Opportunities to move between pubs, • Monthly performance bonus & rewards The Place Our client is an independently owned rapidly growing company with several restaurants, pantries & stores with a reputation of culinary excellence. You have the opportunity to work in a company voted highly in the top best hospitality place to work by Caterer & a modern British ...

We're looking for a Hospitality Assistant who will be the face of our business, delivering exceptional customer service for CH&CO on a permanent casual basis, contracted to 0 hours per week. You'll join a team that takes real pride in what they do - pride in our food, pride in our brand but most of all pride in our people. Working with us has its perks! People are at the heart of everything we do, so we've developed a range of benefits and development opportunities: • Great operational training and development, • Life assurance scheme, • Personal Development and Training opportunities - We are passionate about our growing team, • A great wellbeing strategy - including access to our Employee Assistance Programme, • Regular social events and communication with our leaders, • A holiday purchase scheme, • Access to some great high street discount vouchers Here's an idea of what your shift patterns will be: Other As a Hospitality Assistant, you will contribute to a passionate and friendly team working in a fast-paced environment. In return, you will have the chance to progress with a company that invests in its people, celebrates individuality, and rewards and recognises employees who go beyond the plate. Your key responsibilities will include: • Greeting and looking after our guests so they go home delighted, • Serving customers, ensuring they receive an easy ...

Head Chef - Hounslow Salary: £16.80 per hour Hours: 40 hours per week We are seeking an experienced and driven Head Chef to lead a busy, high-volume kitchen in Hounslow. This is an exciting opportunity for a passionate culinary professional to oversee a dynamic food operation serving up to 400 covers per day, alongside delivering exceptional hospitality services for on-site events and meetings. Please note: This role requires security clearance and a 5-year continuous work history with no gaps. Key Responsibilities • Lead, motivate, and manage the kitchen team to deliver exceptional food standards, • Oversee high-volume food production and ensure smooth daily service, • Deliver high-quality hospitality catering for client events and meetings, • Build strong client relationships and ensure service excellence, • Manage stock control, food safety, and compliance standards, • Drive innovation and menu development within a contract catering environmentAbout You, • Proven experience as a Head Chef in a high-volume environment, • Previous contract catering experience is essential, • Strong leadership and team management skills, • Ability to deliver both bulk catering and high-end hos...

Salary: £30k to £33k per annum This role involves: serving customers over the trade counter liaising with customers and suppliers via phone and email sending quotes assisting in the yard - picking orders, serving customers & loading vehicles processing orders building rapport with existing and

Job Description Head Chef Beautiful Pub in South Harrow, London Up to £45,000 per year (DOE) + Bonus + Benefits Were on the lookout for a passionate and experienced Head Chef to lead our kitchen in a charming, vibrant pub in South Harrow, London. We pride ourselves on serving traditional, freshly m

As a Cook, you will support our talented culinary teams in preparing and serving the delicious food we're known for! You'll help to keep our clients and customers smiling with dining experiences that align with popular tastes and dietary requirements, and in return, yo. Job Description We're current

Interaction Recruitment is looking for an experienced Audio Visual Project Manager to lead high-profile AV projects across the UK. This role involves managing project delivery, serving as the primary client contact, and ensuring compliance with health & safety standards. The ideal candidate should h

We are looking for a motivated and patient-focused Salaried GP to join The Harefield Practice, a well-established and supportive GP surgery serving a close-knit community. As a Salaried GP, you will provide high-quality, patient-centred care through a mix of face-to-face, telephone and online consul