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

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

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

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

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

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

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

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

Exciting Opportunity - Registered Home Manager • Croydon, Greater London, CR0 5NS, • Competitive salary, • Total Rewards Package: Up to £85,000 + Bonus We’re looking for a passionate and experienced Registered Home Manager to lead Cedar View Care Centre into its next exciting chapter. This is a fantastic opportunity to become part of a supportive and dedicated team, where you’ll have the chance to make a meaningful difference in the lives of our residents and their families every day. Why Join Cedar View - At Cedar View Care Centre, we specialise in providing dementia care, residential care, nursing care, and respite care. Our long-standing team of dedicated nurses provides personalised support for elderly residents across our 65 en-suite rooms, ensuring state-of-the-art care with modern facilities and technology. With amenities such as a Bistro, cinema, comfortable lounges, and bright dining areas with garden views, residents can enjoy a vibrant lifestyle. As our new Home Manager, you will: • Lead and inspire a dedicated team to deliver outstanding, person-centred care., • Foster a culture of empathy, respect, and continuous improvement., • Build strong relationships with residents, families, and the wider community., • Uphold our values of Care from the Heart, ensuring every resident feels safe, supported, and fulfilled. What We’re Looking For: • Strong leadership experience in a similar role within the care sector., • A passion for delivering high-quality, person-centred care., • A confident, compassionate leader who thrives in a collaborative environment., • A Registered Manager with a strong understanding of CQC standards and compliance. What We Offer: • A supportive, values-driven organisation that invests in its people., • Opportunities for professional development and career progression., • A chance to make a real difference in the lives of residents and their families., • A beautiful working environment with a strong sense of community.

About Sigma Sports: Sigma Sports began with a simple idea: create a place for people who love cycling to get the very best kit, advice and service. Over time, that passion has grown into a leading premium retailer for cycling and triathlon, supporting athletes at every level. Today, Sigma Sports is a business driven by performance, quality and trust, with a team who are proud of what we do and how we do it. We care about our customers, we care about our craft, and we care about each other. It’s a place for people who want to be part of something growing, where ideas are welcomed and effort is noticed. We’re looking for a Social Media Manager to take full ownership of our organic social channels – shaping the strategy, creating standout content, growing engaged communities and turning organic reach into measurable commercial impact. What we’re looking for: You’ll likely have experience managing organic social for a brand and: • Be equally comfortable with strategy and hands-on execution, • Have strong instincts for what performs on different platforms, • Enjoy being creative, visible and proactive in how you bring content to life, • Be data-aware and commercially minded, caring about impact, not just engagement., • Be confident collaborating with designers, videographers and marketing teams., • Have strong working knowledge of Adobe Photoshop and InDesign, with a great eye for visual quality Experience and skills required: • 4–5 years’ experience in a creative, digital, or social agency environment, • Demonstrable success running a personal social presence with strong growth or engagement metrics., • Proven experience managing multiple channels with consistent, high-quality content output., • Strong understanding of organic social best practices, shoppable content, and platform-specific nuances., • Confident and natural on camera., • Skilled in Adobe Creative Suite (Photoshop and InDesign essential)., • Highly proactive, organised, detail-oriented, and comfortable in a fast-moving environment., • Experience in budget tracking and financial reporting., • Team and solution orientated individual with a positive attitude Why Sigma Sports? You’ll be joining a premium brand with real credibility in cycling and triathlon, with the opportunity to shape how Sigma Sports shows up across social platforms. You’ll have creative freedom, ownership of channels, and the chance to build something distinctive in a space that’s fast-moving, visual and community-led. If you love social, sport and storytelling – and want a role where you can genuinely make your mark – we’d love to hear from you. Alongside that, you’ll benefit from: • Play a key role in shaping how Sigma Sports shows up in the market and in the community, • Generous 33 days annual leave, including bank holidays, • Work with premium brands, athletes and partners in the cycling and performance space, • Excellent staff facilities, including showers and secure bike storage, • Generous staff discounts on a wide range of premium cycling products, • Access to a dynamic work environment with state-of-the-art workshops, • Company pension scheme, • In-house Cycle to Work scheme How to apply: Ready to take the next step in your cycling career? Apply by sending your CV and a cover letter to detailing why you’d be a great addition to our team.

JOB DESCRIPTION / PURPOSE: Responsible for supporting Sr. Facility Manager’s efforts in day-to-day implementation of policies, procedures and programs that will ensure a well-managed, well-maintained building, placing maximum emphasis on positive response to the needs of the building occupiers, environmental health and safety, and quality programs, in coordination and conjunction with the client’s goals and objectives. ESSENTIAL DUTIES: • Responsible for the day-to-day operational management of all aspects of the property to assure maintenance of approved quality standards., • Manages the preparation and coordination of health & safety, fire, life safety and other safety programs. Ensures that policies and procedures are followed., • Manages office services functions such as post, pantry & receptionist., • Manages the preparation and coordination of all maintenance programs relating to interior and exterior conditions and appearance of the properties., • Responsible to assure full compliance with standards established within the service agreement., • Participates in the selection of contract services, vendor negotiation of service agreements. Oversees day-to-day vendor performance to assure full compliance with standards established within the service agreement., • Works with staff in the planning and organization of internal and building-to-building moves. Manages the movers and other necessary specialty trade contractors/vendors.Liaison to various in-house support groups for moves., • Responsible for the completion of work order requests in a timely fashion and to the satisfaction of the requesting associate. Coordinates activities and planning of maintenance staff & vendors to coordinate completion of requests., • Provides direction and communicates effectively with direct reports & vendors, • Ensures all records are maintained accurately such a statutory compliance tracking, • Reviews CMMS system regularly to ensure work orders are closed to comply with SLA, • Responsible for the day-to-day financial management of the property and maintenance of financial records, not limited to, preparation of the budget, financial reviews and monthly management reports., • Responsible for the positive and prompt response to requests from building tenants and client., • Continues ongoing communications with the Owner Representative to ensure needs are being met., • Performs regular “sweeps” of the workspace(s) to identify areas/items/equipment/materials in need of repair, replacement or upgrade. Report all issues to the Management as needed., • May perform other duties as assigned Other Job functions • On-call 24/7 to respond to property events, emergencies or incidents, • May review leases to ensure compliance with lease provisions., • Actively participate in the development and management of the account EDUCATION • Bachelor’s Degree or equivalent experience EXPERIENCE: • Minimum of 3-5 years of real estate/facility coordination or management experience required, • Ability to work well with a variety of different individuals both inside and outside of the company, • Ability to handle multiple complex tasks with minimal supervision while also adhering to the policies and procedures and Owner objectives SKILLS • Strong computer, writing and communication skills, Microsoft office, • Proven analytical abilities, • Pro-Active WHAT WE OFFER: • Fast paced working environment, • Entrepreneurial and supportive team, • Competitive salary, • Discretionary Bonus NOTE: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

Summary £52 ,800 up to £70,400 per annum | 35 days holiday (pro rata) | 10% in-store discount | Pension scheme Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. Were curious, collaborative, and ready to make a tangible impact on where we work. Just like you. We are looking for a Fresh Produce Supply Chain Forecasting consultant to forecast F&V volumes nationally across stores and RDCs working within the Head Office Fresh Produce department. In this role you will be forecasting the F&V volume demand of Lidl GB shoppers and creating high quality Store and RDC forecasts. These forecasts will be used by the F&V Ordering Team to order from F&V Suppliers from across the world to each RDC and ultimately into each store. Insight and analysis tools will be provided by the Analytics team to support the creation of the forecasts. Forecast creation is only the start, end to end monitoring of KPIs will provide the impulse for change as shopper trends develop and enable you to continually adapt the forecast to satisfy the Lidl Shopper. You will be collaborating closely with internal departments, particularly with Analytics, F&V Ordering and the wider Fresh Produce Team. You will also be partnering with HO / Regional Supply Chain and Logistics in the common purpose of next level F&V availability for Lidl Shoppers. There will also be a requirement to work one weekend in 10. At Lidl, we offer a hybrid working model to give you the best of both worlds. Spend three days or more in our state-of-the-art office, where you can enjoy an on-site gym, restaurant, and more of the perks you deserve. And with up to two days at home, youll find the work/life balance you need to thrive. Weekend working is also a requirement of this position on a Rota basis. What you'll do Createbespokestore and RDC forecasts for the F&V products with variable demandacross the year Analyse andidentifythe range of F&V products that require bespoke forecasting over the year Manage the stockholding in depot and store to maximise availability and freshness Continuallymonitorand review store availability and accuracy of forecasts Liaise with HO and Regional Supply Chain Team on the bespoke forecasts for RDCs Liaise with suppliers on the bespoke forecaststo ensure that they are planned and confirmed Identifypotential stock flow and operational challenges and take positive action Reportand presentto stakeholders on theF&Vavailability andfreshness KPIs Develop departmental processesacross the Forecasting team to achieve next level F&V availability for the Lidl Shopper What you'll need Self-motivated and proactive individual with a can-do attitude Degree-level educationwith proven Supply Chain experience Extensive retail knowledge with the ability to overlay real world trends on forecasting insight Strategically minded considering the short to long term with an appetite for continual improvement Focussed, analytical and organised approach to your work, with a real eye for detail Excellent communication skills always ready to be a point of contact for the department Strong ability to multitask and prioritise conflicting deadlines Strong ability to understand complex problems,analyse them in detailand problem solve Excellent written and verbal communication skills What you'll receive 35 days holiday (pro rata) 10% in-store discount Enhanced family leave Pension scheme Plus, more of the perks you deserve *includes an additional 10% non-contractual London Weighting allowance Youre Lidl like us. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment. If youre ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. TPBN1_UKTJ

Summary £31,350** up to £39,600 (pro-rata) per annum | 24-30 hour contract | 30-35 days holiday (pro rata) | 10% in-store discount | Pension scheme Our part time roles gives the option of various shifts. You could work 9.30am - 2pm, or 3pm - 8pm* Monday to Saturday. *Please note, office hours are 8am - 8pm Monday - Thursday, and 8am - 5pm on Friday & Saturday. Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. Were curious, collaborative and ready to make a tangible impact on where we work. Just like you. At Lidl, we dont just fill roles we build careers. As a Talent Acquisition Administrator for our Sales teams, youll be at the heart of our fast-paced hiring engine, helping us find the right people to keep our stores running smoothly across the UK. At Lidl, we offer a hybrid working model to give you the best of both worlds. Spend three days or more in our state-of-the-art office, where you can enjoy an on-site gym, restaurant, and more of the perks you deserve. And with up to two days at home, youll find the work/life balance you need to thrive. What you'll do Lead the end-to-end hiring process for our Stores and Regional Distribution Centres Post job adverts and screen applications Carry out telephone calls with prospective candidates, providing them with a realistic overview of the role Use smart sourcing techniques to build strong talent pipelines Manage applications through SuccessFactors (ATS) Schedule interviews and provide timely feedback Support candidates through offer, contract, and onboarding stages Handle queries around contracts and documentation Create and check employment contracts Ensure all data is accurate and processed on time Coordinate eligibility to work and reference checks Collaborate with internal teams to resolve any onboarding issues Manage the recruitment inbox and respond to queries Support with recruitment reports and performance tracking Working various shifts, including Saturday What you'll need Experience in a fast-paced highly operational role or experience in stores/retail would be advantageous Strong communication and organisational skills Confidence using ATS platforms (SuccessFactors is a plus!) A proactive mindset and a passion for delivering great candidate experiences Highly focused and accurate with an uncompromising eye for detail Good computer skills, and use of the Google suite would be advantageous What you'll receive 30 days holiday (pro rata) 10% in-store discount Enhanced family leave Contributory pension scheme Plus more of the perks you deserve **Includes a 10% non-contractual London weighting We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment. If youre ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. TPBN1_UKTJ

Technology Director The Business: This rapidly growing discount fashion retailer is on a mission to bring style, value, and accessibility to customers nationwide. With a strong store presence, growing online demand, and an ambitious leadership team, the business is undergoing significant digital and operational transformation. To support this next phase of growth, they are seeking an experienced and commercially savvy Technology Director to lead all aspects of technology strategy, infrastructure, and delivery across the business. The Role: The Technology Director will take full ownership of the technology function - from day-to-day operations to long-term digital innovation. The successful candidate will ensure that systems are robust, scalable, secure, and aligned to the fast-paced demands of discount retail. Working closely with the board and operational teams, this individual will be instrumental in modernising core systems and laying the groundwork for future growth. Key Responsibilities: Technology Leadership: Design and implement a roadmap and define the future state of tech for the business. Operational Systems Oversight: Lead the performance and evolution of all core systems, including EPOS, stock management, warehouse systems, and in-store technology. Digital Commerce Support: Oversee the stability, integration and scalability of the e-commerce platform and customer-facing technologies. Security & Infrastructure: Ensure data protection, cybersecurity, and compliance across all systems and processes. Team Management: Build, lead, and develop a small but capable in-house IT team and manage key external partners. Stakeholder Engagement: Work cross-functionally with operations, finance, merchandising, and retail leadership to ensure tech enables business performance. Supplier & Vendor Relationships: Manage third-party vendors and ensure value for investment in all tech-related spend. Candidate Profile: Proven experience in a senior IT leadership role, ideally within retail (discount or high-volume environments preferred). Strong understanding of retail systems (EPOS, WMS, CRM, e-commerce platforms) and infrastructure requirements. Track record of delivering systems upgrades, integrations, and change management programmes. Comfortable in a hands-on environment. Excellent communication and stakeholder management skills - capable of influencing at all levels. Based within commutable distance of Surrey and available to work on-site 4-5 days per week. Why Apply? Join a growing, entrepreneurial retailer with real momentum and ambition. Operate as part of a close-knit, commercially driven leadership team. Shape and future-proof the tech strategy in a business where your impact will be visible and valued. A brilliant opportunity for someone who enjoys rolling up their sleeves, solving problems at pace, and leading meaningful change. BH34950

Summary £35,200* - £44,000* per annum | 30-35 days holiday (pro rata) | 10% in-store discount | Enhanced family leave Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. Were assertive, versatile and are commercially aware 24/7. Just like you. Our Head Office Supply Chain Availability & Freshness team is looking for a proactive and self-motivated Officer. The Head Office Supply Chain Availability & Freshness team actively work to assist the regional Freshness teams, offering support towards existing processes, guidance towards national strategies and rolling out national projects. Working in a central team, supporting the Supply Chain function on a national level and providing assistance to 13 regional teams, you will enjoy the fast pace and variety this role has to offer. Exercising good judgement and flawless attention to detail are paramount in this role in order to ensure availability and freshness of stock as well as keeping wastage to a minimum. This is an ideal role for a self-motivated individual who can work independently, who is a strong communicator and analyst, and has a can-do attitude. At Lidl, we offer a hybrid working model to give you the best of both worlds. Spend three days or more in our state-of-the-art office, where you can enjoy an on-site gym, restaurant, and more of the perks you deserve. And with up to two days at home, youll find the work/life balance you need to thrive. What you'll do Responsible for KPI reporting Product and data analysis Monitoring and supporting with key ordering systems Project Management and national rollouts Communicating and liaising with regional teams as well as various HO departments to ensure alignment Delivering presentations to introduce new projects Ad-hoc administration and analytical tasks Proactive attitude to problem solving Developing new processes and tools Managing email inboxes What you'll need Degree level education or equivalent in a business management discipline would be preferable An enthusiastic individual who is highly organised with a pragmatic approach Can do attitude with proven record of successfully reaching set objectives Good presentation skills Highly analytical, solution focussed with a structured work ethic Target driven and able to work well under pressure A strong multi-tasker with the ability to prioritise conflicting deadlines Excellent organisational skills with the ability to use their own initiative Highly focused and accurate with an uncompromising eye for detail Strong communication skills, both written and spoken Assertive with a committed and dedicated approach to projects Experience within Supply Chain would be advantageous Intermediate level of MS Excel/Google Sheets, and Word/Google Docs What you'll receive 30-35 days annual holiday (pro rata) Ongoing training 10% in-store discount Enhanced family leave Contributory pension scheme Plus more of the perks you deserve *Includes 10% non-contractual London Weighting Allowance We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. If youre ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. Disclaimer: due to the high volume of applications we receive, we reserve the right to close a vacancy earlier than the advertised date. This is to ensure our teams can manage application levels while maintaining a positive candidate experience. Once a vacancy has closed, we are unable to consider further applications, so please submit your application as soon as possible to avoid disappointment. TPBN1_UKTJ

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu