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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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers Inclusion & 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's 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. 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. 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. 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. 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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers Inclusion & 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's 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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers Inclusion & 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's 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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do • Lead" product discovery and definition "for the future integration and workflow platform., • Define the" product vision, scope, and roadmap "for integration platform modernisation., • Translate architectural analysis into" clear product capabilities and priorities ., • Work closely with" Architecture and Engineering "to shape the future integration model across AdTech ., • Partner with" CX teams "to understand operational workflow impacts and user experience implications., • Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach., • Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis., • Balance" operational continuity with long-term platform simplification and resilience ., • Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring, • Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation ., • Strong technical understanding of" integration platforms, APIs, messaging, and data flows ., • Experience working in" early-stage discovery and shaping product direction in ambiguous environments ., • Relevant" AdTech, media, or broadcast industry experience ., • Experience working closely with" architects, engineers, CX teams and delivery leads ., • Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions ., • Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers), • A generous pension package ", • Private healthcare ", • Discounts and cashback at over 800 Retailers Inclusion & 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's 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.

Would you like to join Europe's leading premium health and wellness group? Our team members are the ambassadors of our business and the heart of what we do. W e are on the look out for a passionate Junior Tennis Professional to join our team! We are super proud of our reputation as one of the leading Tennis operators in the industry. With our state-of-the-are facilities, exceptional indoor and outdoor tennis courts and all year-round coaching, our members' have the finest experience possible, whether they're holding a racquet for the first time, or showing real promise on the court. As a Tennis Coach you will form an important part of our team with responsibility for managing activities, teams, box leagues, ladders and find partner schemes. You will promote competitions, leagues, and events internally and most of all, create a fun learning environment. We create an environment where our teams feel a sense of belonging, an environment where they can thrive, both physically and mentally whilst fulfilling their full potential. Some of our perks : • Free Club Membership for you and your family!, • 50% Discount on food and drinks., • Discounts on Swimming, Tennis Lessons, and Personal Training., • Opportunities for Career Advancement through internal training and development., • Wagestream App : Get paid on demand !, • Access to our Benefits Suite . About you : As a Tennis Coach: • You must hold a Level 3 LTA qualification to apply for this role., • Have a passion for all things health and fitness, supporting others to achieve their goals., • G reat communication and collaboration skills, • A self-starter who takes pride in " delivering " great quality "experience"to our members." Join us and help us create a thriving and inclusive culture . Together, we're m ore than a C lub!

Would you like to join Europe's leading premium health and wellness group? Our team members are the ambassadors of our business and we are on the look out for a passionate Swim Supervisor to join our team! Your role will be responsible for managing children's swimming lessons and maximising their occupancy. You'll be a dedicated Swim professional, who leads by example and is entirely committed to helping the members achieve their aims no matter what the age! Our Team Members are at the heart of what we do. This is why we ensure everyone working at David Lloyd Clubs feels a sense of belonging and thrives"physically and mentally. Our perks: • Free Club Membership for you and your family!, • 50% Discount on food and drinks., • Discounts on Swimming, Tennis Lessons, and Personal Training., • Opportunities for Career Advancement through internal training and development., • Wagestream App: Get paid on demand! Join us and help us create a thriving and inclusive culture. Together, we're more than a Club! Here you go let me know when done and please please keep me in the loop with the link on the invites ot interview and assessment

Nursery: Forest Barn Nursery School, Great Warley, Brentwood, Essex, CM13 3JP Hours: Casual, variable hours, Monday - Friday, Full Time and Part TimeSalary: Up to £14.21 per hour dependent on skills and experienceBenefits: Performance related bonus, 50% childcare discount, wellness day, and much much more Remarkable future starts here Hi, I’m Leigh, the Nursery Manager at Forest Barn. Every day at Forest Barn, we nurture our children’s natural curiosity and creativity in an environment designed to spark imaginations and build confidence. We’re proud to offer an exceptional learning space where children develop a real love for learning and an inquisitive, confident mindset. Outdoors, we’re truly spoilt for choice. From our Nissen hut and sensory garden to the fruit patch and nearby woodland walks, nature plays a key role in our children’s development. With two gardens and a large field, there’s plenty of opportunity for exploration, adventure, and calm connection with the world around them. Our cosy, home-from-home environment is filled with natural resources that invite play and ignite wonder. And our commitment to community shines through in our special partnership with the local care home—where residents regularly join us for tea and shared joy with the children. At Forest Barn, learning, nature, and community come together to create a truly magical place for our children. Who & What is Storal? It’s our collective group of Nurseries that we are happily a part of here at Forest Barn. Storal stands for high quality outcomes for children and are passionate about Early Years. Bringing your whole self is a must if that’s pink hair, being Neurospicy or having a unique pastime, we encourage it all. Your unique self is what makes our Nursery even better. Check out our website to learn about our leaders and the expertise they bring to our Storal community. About the role:As a Nurser Practitioner you will be a key part of keep our children safe, loved and inspired to learn. Key activities include: * Applying the Storal curriculum & our pedagogy principles to our children daily * Seeking out learning opportunities in everyday routines such as mealtimes & transitions * Bond with your children and their families by engaging in meaningful moments About you: * A true love for child development and care * Able and willing to work in a team * Ability to communicate effectively with management, your peers and parents * High levels of care and empathy that every opportunity can be a learning opportunity * Knowledge of the EYFS framework Must haves: * Early Years qualification at Level 2/3 or unqualified * Experience working with all age groups within Early Years Why work for us: Benefits at a glance For you -We get the basics right enhanced holidays, paid sick pay, extra wellness day off (yearly) and accessing your pay before payday with PayCaptain Family matters -Balance starts at home Childcare Discount + Funding, compassionate leave & enhanced maternity (and more) Health & wellness -Nourishing body & mind Partnerships with Vitality & Peppy; fertility & menopause support, gym discount, free movie tickets and more Development -Investing in your future Micro-learning, financial stability tools & Storal Support Fund Our community -Growing together Termly inset days, team app & Storal Awards gathering. Enhanced DBS check and subscription to the DBS Update Service We partner with world-leading third parties such as Pay Captain, Vitality, and Peppy. And much much more Curious to know more? We’d love to tell you more about what makes Forest Barn so special. Storal is the highest of standards when it coming to safeguarding, the welfare of children and creating a work environment the encourages feedback-discussion-resilience. We take our role in the safety of children, our families and our team extremely seriously. As governed by the EYFS, we have a designated safeguarding lead in each setting and all staff (and volunteers) complete a through compliance checks prior to employment including employment references & DBS.

Noble Recruiting are currently recruiting a confident and experienced Lead Passive Fire Protection Surveyor/Managing Surveyor to join our friendly and proactive Client in Brentwood, Essex. Due to the nature of our roles, candidates must be a UK Resident residing within the local area. Please note we cannot offer visa sponsorship for overseas candidates. Key Benefits on offer: • There is a great package which will be detailed at initial interview stage with Noble Recruiting., • Permanent, Full-time position:, • Hours: 8am – 5pm - weekdays, • Survey fire compartmentation and already-installed product systems / doors inside commercial and domestic buildings, identifying defects in accordance with regulations and manufacturers’ product data sheets and installation requirements., • Record and review surveys on designated recording software., • Maintain a clean, safe working environment (including tools/equipment), leaving the site clean and secure at the end of each working shift., • Liaise with client representatives while onsite., • Schedule surveys, produce RAMS, book/order equipment required, allocate labour; workflow data and reports, liaising with colleagues in Surveying and Estimating., • Process fire door and passive fire protection survey data for pricing by Estimating department., • Produce survey reports including remedial actions required by reference to relevant standards., • Undertake site visits, identifying requirements, scope, and extent, for pricing survey quotations., • Communicate our quality standards to clients through reporting and meetings., • Focus on developing business through promotion of complementary services and repeating services (e.g. PPM) You will need: ·Confident and outgoing individual. ·Knowledge of working practices in respect of ISO 9001 / 14001 / 45001 standards and accreditations. ·Excellent communication and problem-solving skills. ·Recent experience in a similar position. ·Comfortable working in a fast paced, high-pressure environment where accuracy is non-negotiable. ·Driver with own transport is essential due to the location of the Offices. ·UK resident and the right to work in the UK Important Notice: Noble Recruiting Limited, based in Billericay, Essex, is an equal opportunities employer. With over 17 years of industry experience, we specialise in both permanent recruitment and the provision of temporary workers. By submitting your application, you consent to the processing of your personal data by Noble Recruiting Limited. For further details on how we manage applicant data, please refer to our Privacy Policy available on our website. Application Status: Due to the high volume of applications received, we regret that if you do not hear from us within 14 days, your application has not been successful on this occasion.

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Location: South East England, Essex area. Including the following postcodes CM13, ME16, ME9, CO10, RM1, CO15, DA11, DA11, CM2 and BN3 Salary: £31,200 - (depending on experience), travel allowance, 50% childcare discount, Performance-related bonuses, Pension. Remarkable futures start here. About youYou are an experienced Deputy Nursery Manager or similar and you're looking for something slightly different with more variety and autonomy. In our Regional Support Deputy Nursery Manager roles you will get the opportunity to make a real impact. You get the variety that comes with travelling to different nursery settings and the satisfaction from helping our nurseries achieve outstanding OFSTED grading. If this sounds like something you'd enjoy, submit your application and start your Storal journey today. Storal’s Purpose To give children healthy foundations in fantastic settings, helping them build the confidence and resilience that will set them up for success later in life. The Team & Environment You’ll have a supportive Nursery Manager, Office Manager and Early Years colleagues to help with the delivery of the Storal curriculum. Our nurseries are warm and nurturing environments that not only support children to be ready for school, but also equip them with all the life skills they need to flourish and succeed. How you’ll spend your time here Day to day as a Deputy Manager you will be an intrinsic part of the Nurseries success ensuring the setting has the right team, culture, policies and resources to deliver the highest possible standards of childcare and early years education. You’ll offer solutions where you identify areas for improvements whether that relates to learning and teaching techniques or, creating more stimulating experiences and environments for the children and their educators. You will embrace inclusivity to ensure the individual needs of all those within your care are achieved. We’d love to talk to you if you have the following * A full and relevant Early Years Education qualification Level 3 or above or equivalent * Experience in a managerial role including nursery administration or similar * A strong knowledge and understanding EYFS framework * Reflecting the Storal values around responsibility, openness and working together and experienced in providing staff training and support * Demonstrable leadership qualities (ideally within Early Years) * Excellent communication skills with both children and adults Benefits for You For you - We get the basics right enhanced holidays, paid sick pay, extra wellness day off (yearly) and you can access your pay before payday with Pay Captain Family matters - Balance starts at home Childcare Discount + Funding, compassionate leave & enhanced maternity leave Health & wellness - Nourishing body & mind Partnerships with Vitality & Peppy; fertility & menopause support, gym discount, free movie tickets Development - Investing in your future with micro-learning, financial stability tools & the Storal Support Fund Our community -Growing together Termly inset days, team member app and Storal Awards Not everything fits in a job advert Click apply today, don’t worry if your CV isn’t perfect just send us what you have and we’ll work out the rest later. Storal sets the highest of standards when it coming to safeguarding, the welfare of children and creating a work environment that encourages feedback-discussion-resilience. We take our role in the safety of children, our families and our team extremely seriously. As governed by the EYFS, we have a designated safeguarding lead in each setting and all staff (and volunteers) complete a through compliance checks prior to employment including employment references & DBS. INDDEP

Nursery: Forest Barn Nursery School, The Barn at Tooks Farm, Great Warley Street, Great Warley, Brentwood, Essex, CM13 3JP Hours: Part Time, Monday - Friday (15 hours per week 11.30am - 2.30pm)Salary: up to £14.21 per hour (dependent on qualifications and experience)Benefits: Performance related bonus, 50% childcare discount, wellness day and much much more. Remarkable future starts here Hi, I’m Leigh, the Nursery Manager at Forest Barn. Every day at Forest Barn, we nurture our children’s natural curiosity and creativity in an environment designed to spark imaginations and build confidence. We’re proud to offer an exceptional learning space where children develop a real love for learning and an inquisitive, confident mindset. Outdoors, we’re truly spoilt for choice. From our Nissen hut and sensory garden to the fruit patch and nearby woodland walks, nature plays a key role in our children’s development. With two gardens and a large field, there’s plenty of opportunity for exploration, adventure, and calm connection with the world around them. Our cosy, home-from-home environment is filled with natural resources that invite play and ignite wonder. And our commitment to community shines through in our special partnership with the local care home—where residents regularly join us for tea and shared joy with the children. At Forest Barn, learning, nature, and community come together to create a truly magical place for our children. Who & What is Storal? It’s our collective group of Nurseries that we are happily a part of here at Forest Barn. Storal stands for high quality outcomes for children and are passionate about Early Years. Bringing your whole self is a must if that’s pink hair, being Neurospicy or having a unique pastime, we encourage it all. Your unique self is what makes our Nursery even better. Check out our website to learn about our leaders and the expertise they bring to our Storal community. About the role:As a Nursery Practitioner you will be a key part of keep our children safe, loved and inspired to learn. Key activities include: * Applying the Storal curriculum & our pedagogy principles to our children daily * Seeking out learning opportunities in everyday routines such as mealtimes & transitions * Bond with your children and their families by engaging in meaningful moments About you: * A true love for child development and care * Able and willing to work in a team * Ability to communicate effectively with management, your peers and parents * High levels of care and empathy that every opportunity can be a learning opportunity * Knowledge of the EYFS framework Must haves: * Early Years qualification at Level 2/3 * Experience working with all age groups within Early Years Why work for us: Benefits at a glance For you -We get the basics right enhanced holidays, paid sick pay, extra wellness day off (yearly) and accessing your pay before payday with PayCaptain Family matters -Balance starts at home Childcare Discount + Funding, compassionate leave & enhanced maternity (and more) Health & wellness -Nourishing body & mind Partnerships with Vitality & Peppy; fertility & menopause support, gym discount, free movie tickets and more Development -Investing in your future Micro-learning, financial stability tools & Storal Support Fund Our community -Growing together Termly inset days, team app & Storal Awards gathering. Enhanced DBS check and subscription to the DBS Update Service We partner with world-leading third parties such as Pay Captain, Vitality, and Peppy. And much much more Curious to know more? We’d love to tell you more about what makes Forest Barn so special. Storal is the highest of standards when it coming to safeguarding, the welfare of children and creating a work environment the encourages feedback-discussion-resilience. We take our role in the safety of children, our families and our team extremely seriously. As governed by the EYFS, we have a designated safeguarding lead in each setting and all staff (and volunteers) complete a through compliance checks prior to employment including employment references & DBS.

Nursery: Forest Barn Nursery School, The Barn at Tooks Farm, Great Warley Street, Great Warley, Essex CM13 3JP Hours: Monday - Friday, Full Time Salary: £ 8.55 per hour Remarkable futures start here. Benefits: Performance related bonus, 50% childcare discount, wellness day and much much more. Hi, I’m Hannah, the Nursery Manager at Forest Barn. Every day at Forest Barn, we nurture our children’s natural curiosity and creativity in an environment designed to spark imaginations and build confidence. We’re proud to offer an exceptional learning space where children develop a real love for learning and an inquisitive, confident mindset. Outdoors, we’re truly spoilt for choice. From our Nissen hut and sensory garden to the fruit patch and nearby woodland walks, nature plays a key role in our children’s development. With two gardens and a large field, there’s plenty of opportunity for exploration, adventure, and calm connection with the world around them. Our cosy, home-from-home environment is filled with natural resources that invite play and ignite wonder. And our commitment to community shines through in our special partnership with the local care home—where residents regularly join us for tea and shared joy with the children. At Forest Barn, learning, nature, and community come together to create a truly magical place for our children. Who & What is Storal? It’s our collective group of Nurseries that we are happily apart of here at Forest Barn. Storal stands for high quality outcomes for children and are passionate about Early Years. Bringing your whole self is a must if that’s pink hair, being Neurospicy or having a unique pastime, we encourage it all. Your unique self is what makes our Nursery even better. Check out our website to learn about our leaders and the expertise they bring to our Storal community. About the role:As an Apprentice Early Years Educator you will be a key part of keep our children safe, loved and inspired to learn. Key activities include: * Applying the Storal curriculum & our pedagogy principles to our children daily * Seeking out learning opportunities in everyday routines such as mealtimes & transitions * Bond with your children and their families by engaging in meaningful moment Essentials: * Are 16 or over, have a passion for children and an aptitude for learning * Minimum requirements to apply for this role are English and Maths GCSE grades 2 or E or above OR Functional Skills Level 1 or above. * are able to commit to a full apprenticeship programme. * are patient and friendly * By applying for this vacancy, you have given your consent to share your information with the employer on this advert in order for your grades to be confirmed on the HM Government Personal Learning Record Service. Where grades can not be confirmed, certificates will need to be provided by the applicant * Maximum of 40 minute drive by either car or public transport About you: * A true love for child development and care * Able and willing to work in a team * Ability to communicate effectively with management, your peers and parents * High levels of care and empathy that every opportunity can be a learning opportunity Benefits: For you -We get the basics right enhanced holidays, paid sick pay, extra wellness day off (yearly) and accessing your pay before payday with PayCaptain Family matters -Balance starts at home Childcare Discount + Funding, compassionate leave & enhanced maternity (and more) Health & wellness -Nourishing body & mind Partnerships with Vitality & Peppy; fertility & menopause support, gym discount, free movie tickets and more Development -Investing in your future Micro-learning, financial stability tools & Storal Support Fund Our community -Growing together Termly inset days, team app & Storal Awards gathering. We pay for your DBS upfront along with reimbursing your annual update service charge We partner with world-leading third parties such as Pay Captain, Vitality, and Peppy. And much much more Curious to know more? We’d love to tell you more about what makes Forest Barn so special. Storal is the highest of standards when it coming to safeguarding, the welfare of children and creating a work environment the encourages feedback-discussion-resilience. We take our role in the safety of children, our families and our team extremely seriously. As governed by the EYFS, we have a designated safeguarding lead in each setting and all staff (and volunteers) complete a through compliance checks prior to employment including employment references & DBS.

Are you passionate about early years development and ready to take the next step in your childcare career? Zero2five Early Years Recruitment is delighted to partner with an outstanding nursery in Billericay to find an enthusiastic and experienced Room Leader / Third in Charge to join their dedicated team! Why This Role? This is your opportunity to make a real impact in a warm, nurturing environment where children thrive and staff are truly valued. You'll lead by example, inspire your team, and create magical learning moments that last a lifetime. The Role As Room Leader, you'll: • Lead and mentor a team of passionate practitioners in delivering exceptional early years provision, • Plan and implement engaging, age-appropriate activities that spark curiosity and development, • Build strong relationships with children, families, and colleagues, • Support the Deputy and Manager in day-to-day nursery operations, • Ensure the highest standards of safeguarding and care, • Level 3 qualification in Early Years Education & Care (or equivalent) – essential, • Proven experience in a supervisory or room leader role, • Strong knowledge of the EYFS framework, • A natural leader with excellent communication skills, • Genuine passion for child development and early education, • Competitive salary based on experience, • Opportunities for professional development and career progression, • Supportive, friendly team environment, • Staff discounts and benefits Ready to Apply? Don't miss this chance to join a nursery where your skills and passion will be celebrated! Contact Zero2five Early Years Recruitment today to find out more or apply with your CV. Let's build amazing futures together – one child at a time! Zero2five Early Years Recruitment is committed to safeguarding and promoting the welfare of children. All successful candidates will be subject to DBS checks and reference verification.

Nursery: The Learning Tree Nursery School, Romford, Essex, RM1 2QP Hours: 15 Hours per week 5pm-8pm, Monday to Friday Salary: £13.13 per hour Benefits: Performance related bonus, 50% childcare discount, wellness day, and more. Remarkable future starts here! At our nursery, we’ve created a warm, nurturing environment where children can thrive from babyhood through to preschool. Every space is thoughtfully designed to support each stage of development, encouraging curiosity, confidence, and a love for learning. Our beautiful living walls bring the outside in, creating a calming, nature-inspired atmosphere indoors. Outside, our garden offers engaging opportunities for sand and water play, where children collaborate, explore, and learn together through play. Children enjoy healthy, balanced meals in a central dining space that’s both welcoming and social—building friendships and routines that support their well-being and development About youYou have exceptionally high standards and take pride in creating clean, safe, and welcoming environments. You have a proactive approach to cleaning, enjoy rolling up your sleeves, and are dedicated to providing excellent care and service. Your enthusiasm and compassion ensure that those you support, feel cared for and proud of the environment they work in. What you'll be doingAs a Housekeeper/Cleaner, you will maintain a high standard of cleanliness throughout the nursery setting. Following the cleaning schedule, you will ensure all areas are kept clean, tidy, safe and well cared for. Your role will involve managing cleaning materials and supplies, in line with health and safety guidelines, following the latest child protection and health and safety legislation. You will work closely with the educator team to ensure any issues impacting daily operations are reported and dealt with quickly, effectively and safely.What you'll need * Experience in a similar role * Enthusiasm and high standards of cleanliness * An excellent understanding of basic hygiene and cleanliness * Understanding of Health and Safety regulations and COSHH * Understands the importance of safeguarding and site security What you'll get * Annual wellness day off * 50% childcare discount * Access to retail and other discounts * 20 days holiday increasing to 22 days after 2 years service and 25 days after 5 years service * Performance related bonuses * Dedicated learning and development support * Access to one-to-one confidential counselling sessions through our Employee Assistance Programme * A supportive and friendly team environment About usThis nursery is part of Storal, a group of nurseries across England. It is our vision at Storal to be the nursery group that every family and educator wants to be part of. Our values are built around creating this environment for teams and children. We believe in high standards, praising each other, pulling together as a team whilst actively helping others to grow and that’s only the beginning of the story. We do what we say we do and if you align with this approach, then a Storal nursery is the place for you. Storal is committed to safeguarding and promoting the welfare of children and expects all staff and volunteers to share this commitment. All employees will be subject to background checks, enhanced DBS check and reference checks.

We are currently recruiting for an experienced Store Manager to join a leading food retailer. As the Store Manager of this busy store, you will be responsible for recruiting, developing and managing the Store Team, delivering the highest standards of customer service to ensure customers return whilst achieving all set commercial, turnover revenue targets. Managing the store to achieve financial KPIs, including wages, wastage and shrinkage, together with non-financials such as customer service/feedback, internal audits and compliance. As the Store Manager some of your duties will include; • Lead & develop the store team, • Ensuring achievements of store KPIs across various brand offerings, • Working with the Area Manager to set priorities and delivery goals, • Responsibility for the store representation, including customer experience, merchandising, layout etc., • Maintaining relationships across the regional stores with other Store Managers, • Recruiting and develop the store team to ensure they fulfil their individual career potential, • Analysing sales figures, • Presenting weekly reports / figures and key information to the Senior Management team, • Dealing and resolving escalated customer queries, • Ensuring the store runs efficiently by organising your time & staff effectively Key requirements for the role; • Proven previous food / FMCG retail store management experience, • Ability to influence and negotiate effectively, • Able to be resilient and adapt swiftly in a fast paced, retail environment., • Excellent communication skills and the ability to liaise effectively at all levels, • Good working knowledge of budgets and delivering results, • Excellent understanding of all sales and service., • If you think you have the right experience as a Store Manager and are looking for a new opportunity to develop your career with a leading employer, then get in touch and apply today.

Key Stage 2 Teacher - Billericay, Essex (September) Are you a passionate Primary Teacher ready for your next exciting opportunity? Do you want to be part of a supportive, welcoming school where your development truly matters? Academics are proud to be working with a fantastic primary school in Billericay, Essex, who are looking to appoint an enthusiastic and committed Key Stage 2 Teacher for September 2026 on a permanent basis. This is a brilliant opportunity to join a nurturing and forward-thinking school, where staff are genuinely valued and supported to grow in their careers. • Billericay, Essex, • Key Stage 2 Teacher, • September 2026 start, • Permanent contract, • MPS - UPS, • 'Good' Ofsted rating with a strong reputation locally, • Highly supportive and approachable leadership team, • Excellent ECT induction programme, • Clear progression pathways within the school, • Qualified Primary Teacher (QTS), • Passionate about delivering engaging and inclusive lessons, • Committed to raising attainment and supporting all learners For ECTs, the school offers a truly supportive and structured induction, setting you up for long-term success. If this sounds like the right next step for you, apply today or get in touch to find out more.

KAUAI, part of the Virgin Active brand. \n At KAUAI we are passionate about health and wellbeing and we promise to deliver nothing but the very best in food and nutrition. Serving the best quality ingredients means we bring to our customers real food that is, where possible, free of GMO’s and has no additives, preservatives, artificial colourants and flavourants. We make health and healthy eating habits accessible and exciting. \n So what qualities does a Team Member need to join KAUAI? \n\n • A friendly, calm and approachable nature with the ability to act quickly and effectively\n, • Enthusiastic, dedicated, and driven individuals to ensure customer excellence through good service\n, • Excellent attention to detail – nothing gets by without you noticing!\n, • Consistently acting in a safe manner, knowing the importance of completing safety checks and recording them accurately\n, • Confident in your own ability to keep customer satisfaction at a high\n, • Enthusiastic, dedicated, and driven individuals to ensure customer excellence through good service.\n, • Good ability to carry out instructions from management.\n, • Ensure all food safety controls are maintained and checklists\n, • Prepare orders for smoothies and juices, coffee and food.\n, • A customer-oriented positive attitude, good customer service is essential.\n, • Work timeously in various positions.\n, • Assist management and other crew members in working together as a team\n, • Ensure high personal hygiene standards are followed at all times\n, • Practise “Clean as You Go” at all times and ensure consistently high hygiene standards in the store.\n, • Assist in training up new recruits as per the brand standards and requirements.\n, • Six months to one year related experience and/or training.\n, • Leave – 28 days\n, • Pension fund\n, • 50% discount on Kauai meals while on duty\n, • Complimentary Virgin Active membership for yourself\n

KAUAI, part of the Virgin Active brand. \n At KAUAI we are passionate about health and wellbeing and we promise to deliver nothing but the very best in food and nutrition. Serving the best quality ingredients means we bring to our customers real food that is, where possible, free of GMO’s and has no additives, preservatives, artificial colourants and flavourants. We make health and healthy eating habits accessible and exciting. \n So what qualities does a Team Member need to join KAUAI? \n\n • A friendly, calm and approachable nature with the ability to act quickly and effectively\n, • Enthusiastic, dedicated, and driven individuals to ensure customer excellence through good service\n, • Excellent attention to detail – nothing gets by without you noticing!\n, • Consistently acting in a safe manner, knowing the importance of completing safety checks and recording them accurately\n, • Confident in your own ability to keep customer satisfaction at a high\n, • Enthusiastic, dedicated, and driven individuals to ensure customer excellence through good service.\n, • Good ability to carry out instructions from management.\n, • Ensure all food safety controls are maintained and checklists\n, • Prepare orders for smoothies and juices, coffee and food.\n, • A customer-oriented positive attitude, good customer service is essential.\n, • Work timeously in various positions.\n, • Assist management and other crew members in working together as a team\n, • Ensure high personal hygiene standards are followed at all times\n, • Practise “Clean as You Go” at all times and ensure consistently high hygiene standards in the store.\n, • Assist in training up new recruits as per the brand standards and requirements.\n, • Six months to one year related experience and/or training.\n, • Leave – 28 days\n, • Pension fund\n, • 50% discount on Kauai meals while on duty\n, • Complimentary Virgin Active membership for yourself\n

Are you passionate about swimming – someone who’s willing to go the extra mile to inspire our members to reach their goals? \n Your job… \n\n • Ensuring all poolside activities and scheduled swim lessons are promoted effectively and delivered to the highest standard, creating an exceptional experience for our members.\n, • Responsible for developing creative and innovative classes following the Swim England (ASA) national plan for Teaching Swimming.\n, • Providing a safe and enjoyable environment for all of our members within the pool & surrounding areas.\n, • Deliver great customer service by providing personal attention and care to all members.\n, • Accurately complete records for the function to track attendance and improvements in fitness making sure individual, team and department targets are being consistently met.\n, • STA level 2 certificate in teaching swimming or Swim England (ASA) level 2 certificate in teaching swimming. Together with;\n, • STA Level 2 Award in Aquatic Teaching - Baby & Pre-School or Swim England (ASA) Level 2 Teaching Pre-School Swimming\n

Review and approve payroll processes including pensions and payments. Drive continuous improvement across processes and service delivery. These statements together with our privacy notices set out the basis on which any personal data we collect from you, or that you provide to us, will be processed

The Best HGV job you will ever do! Large Goods Vehicles (LGV) drivers will undertake delivery and collection of products to and from a variety of locations in line with all company policies and procedures. You will be required to work a flexible shift pattern consisting of nights, late and early shifts including weekends. Your minimum contracted hours will be 32 hours, however routes are assigned up to 12.5 hours per day, as such you will regularly be expected to carry out additional hours. This role is based at our Erith site, Church Manorway, London DA8 1DL. Day-to-day you will collect shopping from our state-of-the-art warehouses and take it to our smaller regional sites. No multi drops or hidden lanes. What do you get in return? Alongside a safe working environment, we offer perks and benefits to suit everyone: • Employer-funded private medical insurance after 12 months of service, • Paid Digital Tachograph card renewal, • Paid Driver Medical in line with licence requirements- through our approved supplier, • We will provide your ongoing periodic CPC training during your career, • Up to 7% matched pension contributions after three months of service, • High street shopping and restaurant discounts including 15% off Ocado.com If you want to become a career contender, there’s plenty of opportunity for progression, as 87% of our salaried roles are filled by internal colleagues! So what do we need from you? A passion for driving and all things trucks and lorries, along with the following driving licence requirements: • A category C+E driving licence, • A maximum of 6 penalty points, • No driving disqualifications in the past 10 years, • Desirable to have a minimum of 6 months experience It also is a prerequisite that you are a safe and competent driver with the ability to be flexible on your shift length on a daily basis. As our new state of the art fleet are our pride and joy and we need to know they are in safe hands. How to apply: • Fill in an online application - there is no CV required!, • Our friendly team will conduct a telephone interview, • You will complete a Right to Work Checks, • A face-to-face interview and an interview drive will then take place with a driving assessor., • Following this, we will ensure you are happy with the role and understand the shift patterns before any offers are made Pay Structure: This position is lunar paid. This means you will be paid every 4 weeks according to a monthly schedule. Please take this into consideration when applying. Hourly pay: Basic Rate: £18.48 Evening premium rate (18:00-06:00): £20.48 Sunday Day Premium rate: £20.22 Sunday Evening Premium (18:00-06:00): £22.42 Overtime day rate: £23.10 Overtime Evening rate (18:00-06:00): £25.60 About Ocado Logistics Here at Ocado Logistics, our people, technology and customers work side by side supporting the amazing communities we serve. We're all in it together - not afraid to roll up our sleeves and get stuck in. Our people are incredibly diverse and come from all walks of life with different stories and experiences. We are proud to be an Armed Forces Covenant employer providing support and opportunities for veterans, reservists, and their families. We recognise the unique skills, experiences, and qualities they bring to our workforce, and we strive to create an inclusive and supportive environment for all. Join Ocado Logistics today, where there are bags of possibilities.

At Virgin Active, our purpose is simple: to change people’s lives through wellness. We are evolving into social wellness clubs. Sophisticated, design-led spaces where movement, recovery, connection and community come together. Our ambition is to deliver a fully integrated approach to wellbeing, combining physical training, mental wellness, nutrition and social experience into one seamless member journey. As a Personal Trainer, you are not just delivering sessions,you are shaping lifestyles, building confidence and playing a direct role in changing lives. A Different Model This is not the traditional Personal Training model. At Virgin Active, you are employed, giving you stability alongside flexibility and the opportunity to grow your earnings. There is: • No rent to pay, • No requirement to hold your own insurance, • Structured onboarding with up to 110–120 paid hours of development in your first 8 weeks, • A premium, engaged member base, • A high-quality club environment designed for PT success Elevating Performance — HYROX Affiliation As part of our commitment to delivering cutting-edge wellness experiences, Virgin Active is now officially affiliated with HYROX. This creates exciting opportunities for you to: • Deliver HYROX-inspired training sessions and programmes, • Support members in preparing for competitive fitness events, • Be part of a globally recognised performance movement You will sit at the heart of the member experience, combining expertise, presence and commercial awareness. You will: • Deliver exceptional one-to-one and small group personal training sessions, • Design intelligent, personalised programmes aligned to each member’s goals and lifestyle, • Build meaningful relationships that drive long-term engagement and results, • Grow your client base through proactive member interaction, experiences and referrals, • Create standout fitness experiences that elevate the club environment, • Collaborate with club teams to deliver a seamless, premium member journey, • Track progress and continuously evolve your approach to maximise impact We are hiring across both levels, with clear progression pathways. Expert Personal Trainer • REPS Level 3 or CIMSPA equivalent, • CIMSPA Level 3 Personal Training qualification, • Virgin Active Level 4 Nutrition qualification, • A genuine passion for changing lives through wellness, • Strong presence and professionalism on the gym floor, • Commercial mindset with the drive to grow your business, • Ability to build trust quickly and create lasting relationships, • Opportunities to deliver Group Exercise classes including Strength & Conditioning and Reformer Pilates, • Clear and fast-tracked career progression pathways, including progression from Expert to Icon level, • Flexibility to shape your career across personal training, group exercise, or both, • Accrued annual leave - we want you to take them, • Access to The People’s Pension, with employer contributions at 3%, • Complimentary Virgin Active membership for you and a buddy, plus free membership options for children (including Club V), • Discounts across Virgin Active, including PT sessions, guest passes, products and treatments, • Access to Virgin Group discounts (including Virgin Media, Virgin Atlantic and more), • Salary Finance, supporting loans, savings and financial wellbeing, • BUPA Employee Assistance Programme, including 4 free counselling sessions, • Partnership with Dexters offering complimentary corporate letting services (no tenant charges), • Access to ePoints, offering discounts across major retailers such as Amazon, ASOS and Gymshark, • Discounted courses through the Virgin Active Academy, including specialist training such as yoga

Noble Recruiting are currently recruiting a confident and experienced Health, Safety & Sustainability Manager to join our friendly and proactive Client in Brentwood, Essex. Due to the nature of our roles, candidates must be a UK Resident residing within the local area. Please note we cannot offer visa sponsorship for overseas candidates. Key Benefits on offer: • There is a great package which will be detailed at initial interview stage with Noble Recruiting., • Permanent, Full-time position:, • Hours: 8am – 5pm - weekdays, • Drive implementation of Golden Thread Fire Delay (GTFD)’s Health, Safety & Environmental Sustainability strategies across the business., • Work with the Operations Director to create and evolve policies, procedures, standards, guidance and systems for company operations., • Provide expert advice to project teams and business on health, safety & environmental matters., • Ensure the business operates in compliance with UK legislation, regulations, and company standards., • Support preparation and maintenanc...

The Opportunity Are you looking to develop your skill-set and join one of the fastest growing dental groups in the UK? We have an exciting new opportunity for 2 Qualified Dental Nurses to join us at our mixed NHS and Private practice in Brentwood. Our Practice Team sits at the heart of our business and we firmly believe that being a Dental Nurse is a vocation – not just a job. As such, we are always looking for ways to invest in your continuous professional development. We are looking for someone to join us part time working: Monday - Friday Flexible between 8am-6pm - 42.5 hours per week - Part time also available You will have access to full foundation clinical material from day one. This includes courses in Radiography and Implant Nurse training. Medical indemnity is provided along with funding for CPD courses. Our focus is to create a structured programme that allows you to continually develop. Our surgeries/equipment are to the highest standard to assist in your learning. You will provide clinical support to dentists, hygienists and patients, assist with reception or any clerical duties as required and perform such other tasks as reasonably requested by your practice manager. We are looking for an enthusiastic, determined, caring and passionate individual to join our fantastic team in our Brentwood practice. You will be joining a highly skilled team with these superb benefits: * Staff referral schemes, rewards up to £500 ...

A dental care provider in Essex is seeking a Qualified Dental Field Nurse for a full-time position to cover practices in Brentwood, Basildon, and Billericay.

We are looking for a dedicated and enthusiastic SEND Teaching Assistant to join a brilliant specialist school for pupils with Speech, Language and Communication Needs. Our school brings together teachers, teaching assistants, speech and language therapists, and occupational therapists to deliver a h

Mecca Romford, The Mercury Mall, Romford, London, City of, United Kingdom.Posted Friday 27 March 2026 at 01:00.At Mecca, we are all about bringing people together for unforgettable experiences, there is a reason we are the number one Bingo brand in the UK!.For over 60 years, we have been at the hear

The Product Support Specialist – Manual & Robotic provides clinical product support to end users along with guidance and assistance during Mako surgical procedures. Segmentation of the sales area and focus on expanding existing customers, as well as supporting growing customers together with the S

Customer service assistant - nights. We are at the heart of customer facing roles and at the forefront of an ever-changing market, supporting our customers with all their needs. Individuals with a passion for customer service and who are energised by working together as a collaborative team within a

A dental organization is seeking a Qualified Dental Field Nurse to cover practices across Essex, including Brentwood, Basildon, and Billericay.

We are looking for an experienced class teacher to join our committed, supportive and enthusiastic team at Crowlands Primary School, part of The Growing Together Federation. Candidates are invited to make an appointment to tour the school by contacting our main school office on 01708 743402. Haverin

A leading dental practice in Brentwood is seeking a Qualified Dental Nurse to join their full-time team.The role involves providing clinical support, assisting with reception duties, and participating in a continuous professional development program funded by the practice.Candidates should possess e