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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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.
At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow , belong and impact . You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About The Team: Our Financial Services practice is an important part of our wider business. With over 35 FS partners and 700 specialist staff in the UK, our growing team provides tailored services to asset management, FinTech, banking and capital markets, insurance and real estate clients. Tax is an integral part of these services. What draws us together is a shared passion for using our FS industry experience and deep service line knowledge to provide bespoke client advice. What You'll Do: The focus of the role is to help drive and lead across our UK FS corporate tax client engagements incorporating a broad mix of advisory, compliance and audit work across asset management, banking, capital markets and insurance and supporting with the tax technical development of the wider team. There will be a need to undertake research where required and support with the delivery of cross-border tax compliance, advisory and tax audit engagements. Help deliver high-quality work for clients and profitable outcomes for the business through use of best practices, technology and alignment with Firm policies. Work closely with junior team members in our London office in the delegation and review of work as well as fostering their learning and development. What You'll Bring: Qualified at ACA, CA, CTA or equivalent level. Strong interest in financial services and related tax issues with experience in delivering UK corporate tax engagements for clients across FS sectors. Good awareness of broader tax, international tax, regulatory and accounting areas. Able to manage projects, meet deadlines and manage engagement economics. In line with the Firm's general guidance, work from the London office an average of 3 days a week to drive the delivery and delegation of tax compliance work to junior team members. Strong inter-personal communication skills. What We Offer: Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries and Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: London Office - Located in 30 Old Bailey, London, EC4M 7AU. Moments from City Thameslink, St Paul's and Farringdon stations. Ideally positioned in the heart of the City of London, near major landmarks and law courts. Ready to Grow , Belong and Impact ? Apply now and join us at Forvis Mazars!
Mar 01, 2026
Full time
At Forvis Mazars, we're always looking ahead, for our people, our clients and the wider world. Together, we grow , belong and impact . You'll be supported to learn, explore and develop from day one. We celebrate individuality, encourage bold thinking and believe success comes from working together. With us, you'll belong to your local team, gain global experience, and make a meaningful impact now and in the future. About The Team: Our Financial Services practice is an important part of our wider business. With over 35 FS partners and 700 specialist staff in the UK, our growing team provides tailored services to asset management, FinTech, banking and capital markets, insurance and real estate clients. Tax is an integral part of these services. What draws us together is a shared passion for using our FS industry experience and deep service line knowledge to provide bespoke client advice. What You'll Do: The focus of the role is to help drive and lead across our UK FS corporate tax client engagements incorporating a broad mix of advisory, compliance and audit work across asset management, banking, capital markets and insurance and supporting with the tax technical development of the wider team. There will be a need to undertake research where required and support with the delivery of cross-border tax compliance, advisory and tax audit engagements. Help deliver high-quality work for clients and profitable outcomes for the business through use of best practices, technology and alignment with Firm policies. Work closely with junior team members in our London office in the delegation and review of work as well as fostering their learning and development. What You'll Bring: Qualified at ACA, CA, CTA or equivalent level. Strong interest in financial services and related tax issues with experience in delivering UK corporate tax engagements for clients across FS sectors. Good awareness of broader tax, international tax, regulatory and accounting areas. Able to manage projects, meet deadlines and manage engagement economics. In line with the Firm's general guidance, work from the London office an average of 3 days a week to drive the delivery and delegation of tax compliance work to junior team members. Strong inter-personal communication skills. What We Offer: Forvis Mazars is a leading global professional services network delivering quality across audit, tax, advisory and consulting. We're united by a shared purpose and a strong sense of belonging, with a culture rooted in inclusion, responsibility, and collaboration. With us, you'll be empowered to shape your career, contribute your ideas, and make a difference from day one. We embrace individuality and encourage everyone to bring their whole selves to work. Whether you're looking to stretch your potential, build meaningful relationships or be part of a diverse, forward-thinking team, this is a place where you can thrive. Salaries and Benefits: At Forvis Mazars, we pride ourselves on being a fair and competitive employer, we offer a competitive salary which are based on experience and benchmarking. We have an annual performance-based bonus, and regular salary reviews to ensure you are rewarded for your efforts. You'll enjoy hybrid working options, allowing you to maintain a healthy work-life balance, along with clear career progression opportunities that will support your growth. Our comprehensive benefits package includes wellbeing support because we believe in taking care of our people. Does this sound like the kind of place where you can thrive? Location: London Office - Located in 30 Old Bailey, London, EC4M 7AU. Moments from City Thameslink, St Paul's and Farringdon stations. Ideally positioned in the heart of the City of London, near major landmarks and law courts. Ready to Grow , Belong and Impact ? Apply now and join us at Forvis Mazars!
Role Overview: As a Market Research Telephone Interviewer at Ipsos, your primary responsibility will be to conduct telephone interviews with business customers from various sectors. doing varied shifts. You will engage participants in their native language, utilising your communication skills to collect detailed, nuanced feedback that supports our clients' business strategies. Key Responsibilities: Conduct interviews over the phone using scripted questionnaires. Capture high-quality data and feedback from participants. Utilise language skills to communicate effectively in participants' native languages. Ensure each interaction is conducted professionally and ethically. Required Skills and Qualifications: Fluent in Estonian Speaking (additional languages are advantageous). Excellent communication skills. Comfortable using a computer A laptop or PC running Windows 10 or above, with a working camera for our interactive training sessions. A USB headset with a microphone for crystal-clear conversation What We Offer: Comprehensive training to equip you with the necessary skills and knowledge. Flexible working schedule with the ability to work from home or from our offices in London (Angel) and Edinburgh Opportunity to work with a globally renowned engineering client Ongoing, long-term work opportunities, subject to performance Ready to Begin Your Ipsos Journey? Join our team of dynamic Market Research Interviewers! Apply today and transform work into a rewarding experience.
Mar 01, 2026
Full time
Role Overview: As a Market Research Telephone Interviewer at Ipsos, your primary responsibility will be to conduct telephone interviews with business customers from various sectors. doing varied shifts. You will engage participants in their native language, utilising your communication skills to collect detailed, nuanced feedback that supports our clients' business strategies. Key Responsibilities: Conduct interviews over the phone using scripted questionnaires. Capture high-quality data and feedback from participants. Utilise language skills to communicate effectively in participants' native languages. Ensure each interaction is conducted professionally and ethically. Required Skills and Qualifications: Fluent in Estonian Speaking (additional languages are advantageous). Excellent communication skills. Comfortable using a computer A laptop or PC running Windows 10 or above, with a working camera for our interactive training sessions. A USB headset with a microphone for crystal-clear conversation What We Offer: Comprehensive training to equip you with the necessary skills and knowledge. Flexible working schedule with the ability to work from home or from our offices in London (Angel) and Edinburgh Opportunity to work with a globally renowned engineering client Ongoing, long-term work opportunities, subject to performance Ready to Begin Your Ipsos Journey? Join our team of dynamic Market Research Interviewers! Apply today and transform work into a rewarding experience.
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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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.
Role Overview: As a Market Research Telephone Interviewer at Ipsos, your primary responsibility will be to conduct telephone interviews with business customers from various sectors. doing varied shifts. You will engage participants in their native language, utilising your communication skills to collect detailed, nuanced feedback that supports our clients' business strategies. Key Responsibilities: Conduct interviews over the phone using scripted questionnaires. Capture high-quality data and feedback from participants. Utilise language skills to communicate effectively in participants' native languages. Ensure each interaction is conducted professionally and ethically. Required Skills and Qualifications: Fluent in Estonian Speaking (additional languages are advantageous). Excellent communication skills. Comfortable using a computer A laptop or PC running Windows 10 or above, with a working camera for our interactive training sessions. A USB headset with a microphone for crystal-clear conversation What We Offer: Comprehensive training to equip you with the necessary skills and knowledge. Flexible working schedule with the ability to work from home or from our offices in London (Angel) and Edinburgh Opportunity to work with a globally renowned engineering client Ongoing, long-term work opportunities, subject to performance Ready to Begin Your Ipsos Journey? Join our team of dynamic Market Research Interviewers! Apply today and transform work into a rewarding experience.
Mar 01, 2026
Full time
Role Overview: As a Market Research Telephone Interviewer at Ipsos, your primary responsibility will be to conduct telephone interviews with business customers from various sectors. doing varied shifts. You will engage participants in their native language, utilising your communication skills to collect detailed, nuanced feedback that supports our clients' business strategies. Key Responsibilities: Conduct interviews over the phone using scripted questionnaires. Capture high-quality data and feedback from participants. Utilise language skills to communicate effectively in participants' native languages. Ensure each interaction is conducted professionally and ethically. Required Skills and Qualifications: Fluent in Estonian Speaking (additional languages are advantageous). Excellent communication skills. Comfortable using a computer A laptop or PC running Windows 10 or above, with a working camera for our interactive training sessions. A USB headset with a microphone for crystal-clear conversation What We Offer: Comprehensive training to equip you with the necessary skills and knowledge. Flexible working schedule with the ability to work from home or from our offices in London (Angel) and Edinburgh Opportunity to work with a globally renowned engineering client Ongoing, long-term work opportunities, subject to performance Ready to Begin Your Ipsos Journey? Join our team of dynamic Market Research Interviewers! Apply today and transform work into a rewarding experience.
Internally, this role will be known as Lead Media Planner London, Manchester hybrid This position sits in our UKI Media team. We combine data, technology, creative content, and paid media to crack brands' business problems & drive revenue through innovative digital marketing solutions. We plan, create and execute a variety of world class campaigns, from culture lead, social first content to award winning integrated creative campaigns that have been built from data lead strategies and insights. Our clients include Just Eat Takeaway, Victoria's Secret, TikTok, The White Company, Meta, Pepsico, EasyJet and many more. JOB PURPOSE We are looking for someone to lead clients within the paid social media offering, while making sure it's collaborative and closely integrated with creative content, technology and data. This person will provide visionary leadership around paid social media, supporting our paid media planners with strategic guidance, personal development and training. They will innovate our offering and help us do outstanding work that delivers true ROI for our clients. We need someone who understands our client's customers, who can put themselves in their shoes to create strategies and ideas that exceed expectations, who understands that brands are competing for consumers' attention and have at best a couple of seconds to inspire some sort of interaction. We need people who can come up with big ideas as well as lots of little ones that are framed in a solid media strategy grounded in insight. KEY RESPONSIBILITIES The role of Lead Media Planner is exciting, varied and constantly evolving. In this role, you will: Lead, line manage, motivate and inspire your team Support Head of Paid Social and Head of Media Operations in developing long term media strategies and key tactical plans Plan, buy and optimise paid social media activity Oversee reporting and identify new opportunities off the back of results Recommend and set up measurement solutions for clients Take and respond to (internal and external) briefs Deliver and present work with data driven insight and analytics Support Account Planners in delivery of internal and client work with paid planning Contribute insights and strategic media thinking to projects that span all areas of the business Ensure delivery of work is to the highest possible standard Ensure constant innovation across all deliverables Manage budgets for paid media deliverables Assess technology solutions, processes and data tools to improve our capabilities SKILLS AND PREVIOUS EXPERIENCE Our offering is advanced for the industry, and we rely on great people. To be considered for this role, you will need the skills or experience outlined below. Extensive, relevant experience within a paid social media based role Experience leading, motivating and coaching team members Experience managing complex campaigns and measurement solutions (tracking, attribution, lift and incrementality studies) Strong understanding of digital media, particularly paid social media Advanced proficiency with ads platforms Advanced proficiency in direct response and app focused campaigns Advanced proficiency in Excel along with an inquisitive and numeric mindset and advanced problem solving skills Excellent organisational skills and time management skills A high attention to detail and strong presentation skills Familiarity with third party measurement platforms (e.g. Google Analytics, Adobe, DCM) WE OFFER A flexible, hybrid working policy The choice of medical healthcare providers (Bupa or Medicash) 25 days holiday plus bank holidays and your birthday off each year Company pension scheme Ride to work scheme Enhanced family friendly policies Buddy Program: You will be paired with a 'Buddy' to help you through your first weeks' at DEPT . A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named 'Agency of the Year' at both The Lovies and The Webby Awards. Awesome clients. Whether big or small, local or global - at DEPT you'll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together! The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications. Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities. WHO ARE WE? We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That's why we hire curious, self driven, talented people who never stop innovating. Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we're big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world. DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified. DIVERSITY, EQUITY & INCLUSION At DEPT , we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here .
Mar 01, 2026
Full time
Internally, this role will be known as Lead Media Planner London, Manchester hybrid This position sits in our UKI Media team. We combine data, technology, creative content, and paid media to crack brands' business problems & drive revenue through innovative digital marketing solutions. We plan, create and execute a variety of world class campaigns, from culture lead, social first content to award winning integrated creative campaigns that have been built from data lead strategies and insights. Our clients include Just Eat Takeaway, Victoria's Secret, TikTok, The White Company, Meta, Pepsico, EasyJet and many more. JOB PURPOSE We are looking for someone to lead clients within the paid social media offering, while making sure it's collaborative and closely integrated with creative content, technology and data. This person will provide visionary leadership around paid social media, supporting our paid media planners with strategic guidance, personal development and training. They will innovate our offering and help us do outstanding work that delivers true ROI for our clients. We need someone who understands our client's customers, who can put themselves in their shoes to create strategies and ideas that exceed expectations, who understands that brands are competing for consumers' attention and have at best a couple of seconds to inspire some sort of interaction. We need people who can come up with big ideas as well as lots of little ones that are framed in a solid media strategy grounded in insight. KEY RESPONSIBILITIES The role of Lead Media Planner is exciting, varied and constantly evolving. In this role, you will: Lead, line manage, motivate and inspire your team Support Head of Paid Social and Head of Media Operations in developing long term media strategies and key tactical plans Plan, buy and optimise paid social media activity Oversee reporting and identify new opportunities off the back of results Recommend and set up measurement solutions for clients Take and respond to (internal and external) briefs Deliver and present work with data driven insight and analytics Support Account Planners in delivery of internal and client work with paid planning Contribute insights and strategic media thinking to projects that span all areas of the business Ensure delivery of work is to the highest possible standard Ensure constant innovation across all deliverables Manage budgets for paid media deliverables Assess technology solutions, processes and data tools to improve our capabilities SKILLS AND PREVIOUS EXPERIENCE Our offering is advanced for the industry, and we rely on great people. To be considered for this role, you will need the skills or experience outlined below. Extensive, relevant experience within a paid social media based role Experience leading, motivating and coaching team members Experience managing complex campaigns and measurement solutions (tracking, attribution, lift and incrementality studies) Strong understanding of digital media, particularly paid social media Advanced proficiency with ads platforms Advanced proficiency in direct response and app focused campaigns Advanced proficiency in Excel along with an inquisitive and numeric mindset and advanced problem solving skills Excellent organisational skills and time management skills A high attention to detail and strong presentation skills Familiarity with third party measurement platforms (e.g. Google Analytics, Adobe, DCM) WE OFFER A flexible, hybrid working policy The choice of medical healthcare providers (Bupa or Medicash) 25 days holiday plus bank holidays and your birthday off each year Company pension scheme Ride to work scheme Enhanced family friendly policies Buddy Program: You will be paired with a 'Buddy' to help you through your first weeks' at DEPT . A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named 'Agency of the Year' at both The Lovies and The Webby Awards. Awesome clients. Whether big or small, local or global - at DEPT you'll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together! The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications. Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities. WHO ARE WE? We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That's why we hire curious, self driven, talented people who never stop innovating. Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we're big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world. DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified. DIVERSITY, EQUITY & INCLUSION At DEPT , we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here .
Internally, this role will be known as Lead Media Planner London, Manchester hybrid This position sits in our UKI Media team. We combine data, technology, creative content, and paid media to crack brands' business problems & drive revenue through innovative digital marketing solutions. We plan, create and execute a variety of world class campaigns, from culture lead, social first content to award winning integrated creative campaigns that have been built from data lead strategies and insights. Our clients include Just Eat Takeaway, Victoria's Secret, TikTok, The White Company, Meta, Pepsico, EasyJet and many more. JOB PURPOSE We are looking for someone to lead clients within the paid social media offering, while making sure it's collaborative and closely integrated with creative content, technology and data. This person will provide visionary leadership around paid social media, supporting our paid media planners with strategic guidance, personal development and training. They will innovate our offering and help us do outstanding work that delivers true ROI for our clients. We need someone who understands our client's customers, who can put themselves in their shoes to create strategies and ideas that exceed expectations, who understands that brands are competing for consumers' attention and have at best a couple of seconds to inspire some sort of interaction. We need people who can come up with big ideas as well as lots of little ones that are framed in a solid media strategy grounded in insight. KEY RESPONSIBILITIES The role of Lead Media Planner is exciting, varied and constantly evolving. In this role, you will: Lead, line manage, motivate and inspire your team Support Head of Paid Social and Head of Media Operations in developing long term media strategies and key tactical plans Plan, buy and optimise paid social media activity Oversee reporting and identify new opportunities off the back of results Recommend and set up measurement solutions for clients Take and respond to (internal and external) briefs Deliver and present work with data driven insight and analytics Support Account Planners in delivery of internal and client work with paid planning Contribute insights and strategic media thinking to projects that span all areas of the business Ensure delivery of work is to the highest possible standard Ensure constant innovation across all deliverables Manage budgets for paid media deliverables Assess technology solutions, processes and data tools to improve our capabilities SKILLS AND PREVIOUS EXPERIENCE Our offering is advanced for the industry, and we rely on great people. To be considered for this role, you will need the skills or experience outlined below. Extensive, relevant experience within a paid social media based role Experience leading, motivating and coaching team members Experience managing complex campaigns and measurement solutions (tracking, attribution, lift and incrementality studies) Strong understanding of digital media, particularly paid social media Advanced proficiency with ads platforms Advanced proficiency in direct response and app focused campaigns Advanced proficiency in Excel along with an inquisitive and numeric mindset and advanced problem solving skills Excellent organisational skills and time management skills A high attention to detail and strong presentation skills Familiarity with third party measurement platforms (e.g. Google Analytics, Adobe, DCM) WE OFFER A flexible, hybrid working policy The choice of medical healthcare providers (Bupa or Medicash) 25 days holiday plus bank holidays and your birthday off each year Company pension scheme Ride to work scheme Enhanced family friendly policies Buddy Program: You will be paired with a 'Buddy' to help you through your first weeks' at DEPT . A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named 'Agency of the Year' at both The Lovies and The Webby Awards. Awesome clients. Whether big or small, local or global - at DEPT you'll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together! The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications. Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities. WHO ARE WE? We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That's why we hire curious, self driven, talented people who never stop innovating. Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we're big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world. DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified. DIVERSITY, EQUITY & INCLUSION At DEPT , we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here .
Mar 01, 2026
Full time
Internally, this role will be known as Lead Media Planner London, Manchester hybrid This position sits in our UKI Media team. We combine data, technology, creative content, and paid media to crack brands' business problems & drive revenue through innovative digital marketing solutions. We plan, create and execute a variety of world class campaigns, from culture lead, social first content to award winning integrated creative campaigns that have been built from data lead strategies and insights. Our clients include Just Eat Takeaway, Victoria's Secret, TikTok, The White Company, Meta, Pepsico, EasyJet and many more. JOB PURPOSE We are looking for someone to lead clients within the paid social media offering, while making sure it's collaborative and closely integrated with creative content, technology and data. This person will provide visionary leadership around paid social media, supporting our paid media planners with strategic guidance, personal development and training. They will innovate our offering and help us do outstanding work that delivers true ROI for our clients. We need someone who understands our client's customers, who can put themselves in their shoes to create strategies and ideas that exceed expectations, who understands that brands are competing for consumers' attention and have at best a couple of seconds to inspire some sort of interaction. We need people who can come up with big ideas as well as lots of little ones that are framed in a solid media strategy grounded in insight. KEY RESPONSIBILITIES The role of Lead Media Planner is exciting, varied and constantly evolving. In this role, you will: Lead, line manage, motivate and inspire your team Support Head of Paid Social and Head of Media Operations in developing long term media strategies and key tactical plans Plan, buy and optimise paid social media activity Oversee reporting and identify new opportunities off the back of results Recommend and set up measurement solutions for clients Take and respond to (internal and external) briefs Deliver and present work with data driven insight and analytics Support Account Planners in delivery of internal and client work with paid planning Contribute insights and strategic media thinking to projects that span all areas of the business Ensure delivery of work is to the highest possible standard Ensure constant innovation across all deliverables Manage budgets for paid media deliverables Assess technology solutions, processes and data tools to improve our capabilities SKILLS AND PREVIOUS EXPERIENCE Our offering is advanced for the industry, and we rely on great people. To be considered for this role, you will need the skills or experience outlined below. Extensive, relevant experience within a paid social media based role Experience leading, motivating and coaching team members Experience managing complex campaigns and measurement solutions (tracking, attribution, lift and incrementality studies) Strong understanding of digital media, particularly paid social media Advanced proficiency with ads platforms Advanced proficiency in direct response and app focused campaigns Advanced proficiency in Excel along with an inquisitive and numeric mindset and advanced problem solving skills Excellent organisational skills and time management skills A high attention to detail and strong presentation skills Familiarity with third party measurement platforms (e.g. Google Analytics, Adobe, DCM) WE OFFER A flexible, hybrid working policy The choice of medical healthcare providers (Bupa or Medicash) 25 days holiday plus bank holidays and your birthday off each year Company pension scheme Ride to work scheme Enhanced family friendly policies Buddy Program: You will be paired with a 'Buddy' to help you through your first weeks' at DEPT . A reputation for doing good. DEPT has been a Certified B Corp since 2021 and named 'Agency of the Year' at both The Lovies and The Webby Awards. Awesome clients. Whether big or small, local or global - at DEPT you'll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together! The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications. Global annual DEPT Cares Month in which employees come together and donate their skills to support local charities. WHO ARE WE? We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That's why we hire curious, self driven, talented people who never stop innovating. Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we're big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world. DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified. DIVERSITY, EQUITY & INCLUSION At DEPT , we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine. We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here .
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 skills A 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 : 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 experiences 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 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.
Mar 01, 2026
Full time
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 skills A 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 : 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 experiences 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 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.
Salary: £67,600 - £78,000 (depending on experience) Location: United Kingdom (Hybrid - with regular in-person client meetings) Job Type: Permanent Working pattern: Full time We're open to exploring other working patterns on a case by case basis, where possible and in line with business needs. Closing date: 02/ 03/ 2026 (9:00am) - We encourage early applications as we reserve the right, if required, to close this role ahead of the date advertised. Start date: 18/05/2026. We're ideally looking for the successful candidate to start on or around this date to support ongoing business needs. Who we are We are Public Digital, a digital transformation consultancy. We help global institutions that matter thrive in the digital era. We apply the culture, processes, business models and technologies of modern delivery to help teams build and run excellent services. Working with the leaders doing strategy, and the teams doing delivery, we operate globally, advising large organisations and governments on six continents. We're values driven and we articulate them in our positions on the Public Digital website. Attitude as much as skill is critically important to us as a team and we look for entrepreneurialism, initiative, kindness, and a willingness to pitch in. We fundamentally believe transformation is about people, and that change comes from creating great teams and the conditions to successfully empower them. About the role We're looking for people who work in digital, in the broadest sense. You might be a specialist, like a service designer, product manager, or software developer. Or you might be more of a generalist, like a policy professional, strategist, or digital team lead. What matters most is that you understand digital transformation, care about making change happen and delivering better outcomes. At Public Digital, you'll apply your skills as a consultant, but not in the traditional sense. Our consultancy is grounded in lived experience: yours, and that of the wider team. You'll advise and coach, facilitate and write, and help people make decisions that lead to real progress. If you bring a specialist skillset, you'll use it in a hands on way. Working alongside client teams, showing by doing, and helping others learn by doing it with you. You'll join small, multidisciplinary teams helping our clients with a wide range of challenges. That could mean improving public facing digital services, researching tricky policy areas, or helping large organisations shift how they work and what they value. This is a role where you'll be learning all the time by working closely with people who bring different perspectives, backgrounds, and skills. It's also a chance to make a bigger impact, by helping others build the confidence and capability to keep making change after we've stepped away. How you'll make an impact Lead day to day delivery on client projects, taking responsibility for the team's work and direction. Build strong, trusted relationships with clients and their teams, working as an advisor and coach. Undertake research and synthesise insights, developing high quality written outputs. Develop, design and implement quantitative analysis and metrics to measure impact on client engagements, working alongside the Public Digital Impact lead. Help shape transformation plans and support clients to deliver real, measurable outcomes. Make sure delivery stays on track and to a high standard, with a focus on what matters to users. Use your experience to improve how organisations work and the services they deliver. Help set up new projects well, and look after team health, delivery quality, and financial performance. Support partners and directors by spotting opportunities to grow our work and build new relationships. Contribute to the life and direction of Public Digital as a values led organisation. Create a positive, inclusive environment in your project teams and across the wider business. What we're looking for PD looks for a range of strengths in areas and awareness and knowledge in others. You do not need to meet all of the following to apply but we'd love to see solid experience in 6 7 of these. Experience leading and empowering multidisciplinary teams to deliver high quality work from start to finish A pragmatic, proactive approach to managing complex client engagements, with strong organisation and delivery skills Experience working on digital, service delivery or transformation initiatives, whether in government, health, international development, the private sector, or another complex environment A solid understanding of agile, user centred approaches and how digital transformation works in practice, especially in the UK context Strong stakeholder management skills, comfortable working in complex environments and making progress in ambiguity Excellent communication skills, with the ability to explain complex or technical concepts clearly in writing and in person An understanding of how to support healthy, collaborative team dynamics and ways of working A track record of contributing to digital communities or sharing knowledge through talks, blogs, or similar channels Quantitative or business analysis skills to help our clients, and us, understand the impact of digital transformation. Awareness and understanding of forms of artificial intelligence and their application. How you will be assessed: We want to understand your background, experiences, perspective, and what motivates you to work with us. We start with an initial sift of all applications, assessed against the "What we're looking for" criteria in the advert. If you're shortlisted, the selection process may include a mix of the following : A short phone interview (up to 30 minutes) with a member of our hiring team. A panel interview, which includes a case study exercise. You'll receive the case study in advance, along with full details about the format. An informal peer chat, giving you the chance to speak with someone in a similar role at Public Digital. Each stage is designed to be a two way conversation, giving you the chance to get to know us too. Please note that we have seen an increase in candidates using AI to complete their answers, we use tools designed to detect AI generated answers and will reject candidates if we suspect they have used this technology. Why you should apply Opportunity to grow and progress rapidly within an engaged, supportive environment. Be entrepreneurial and contribute to the growth and success of Public Digital. Deliver high impact work with leading institutions around the world. Emphasis on learning, development, and progression. Build and develop your expertise and profile through publishing blog posts, presenting at events, and sharing knowledge. Empowerment to do your best work. Home and remote working, with flexibility in how you deliver work. Buddy system and prioritised mental health. Generous holiday allowance of 30 days, plus an additional office closure over the Christmas period. Private healthcare cover. Flexible benefits allowance. Be a part of our amazing work culture. To read more about it please visit our Careers page which gives more details about our culture, employees and benefits. We're an equal opportunities employer. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best. Public Digital's mission is to help institutions thrive in the internet era - to do that well, we aim to hire and empower people who reflect the diversity of the users, communities and organisations we work with. We actively encourage applications from under represented and minoritised groups, including those with lived experience of the challenges we're working to address. We're keen to hear from curious, collaborative and thoughtful people regardless of gender, age, ethnic identity, religion, socio economic status, sexual orientation, neurodiversity or physical disability. If you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, please apply anyway, you may just be the right candidate for this or other roles in our wider team. Things you need to know Salary We'll offer a salary that reflects your experience and the skills you show throughout the process. We aim to be as competitive as possible based on what you bring to the role. Flexible working We support flexible working, and you can split your time between home and our London office. Most of the team comes in around once a week to collaborate, but there's no set requirement to be in regularly. However, as this is a client facing role, there may be times when you'll need to travel to a client's office or attend in person meetings, depending on the needs of the project. While we offer flexibility where we can, we also appreciate the same in return when it comes to meeting client expectations. Right to work You'll need to already have the right to work in the UK when you start. We're not able to sponsor visas for this role. Reserve list If the current live roles are filled but we consider you right for PD, you will be offered the chance to join our reserve list . click apply for full job details
Mar 01, 2026
Full time
Salary: £67,600 - £78,000 (depending on experience) Location: United Kingdom (Hybrid - with regular in-person client meetings) Job Type: Permanent Working pattern: Full time We're open to exploring other working patterns on a case by case basis, where possible and in line with business needs. Closing date: 02/ 03/ 2026 (9:00am) - We encourage early applications as we reserve the right, if required, to close this role ahead of the date advertised. Start date: 18/05/2026. We're ideally looking for the successful candidate to start on or around this date to support ongoing business needs. Who we are We are Public Digital, a digital transformation consultancy. We help global institutions that matter thrive in the digital era. We apply the culture, processes, business models and technologies of modern delivery to help teams build and run excellent services. Working with the leaders doing strategy, and the teams doing delivery, we operate globally, advising large organisations and governments on six continents. We're values driven and we articulate them in our positions on the Public Digital website. Attitude as much as skill is critically important to us as a team and we look for entrepreneurialism, initiative, kindness, and a willingness to pitch in. We fundamentally believe transformation is about people, and that change comes from creating great teams and the conditions to successfully empower them. About the role We're looking for people who work in digital, in the broadest sense. You might be a specialist, like a service designer, product manager, or software developer. Or you might be more of a generalist, like a policy professional, strategist, or digital team lead. What matters most is that you understand digital transformation, care about making change happen and delivering better outcomes. At Public Digital, you'll apply your skills as a consultant, but not in the traditional sense. Our consultancy is grounded in lived experience: yours, and that of the wider team. You'll advise and coach, facilitate and write, and help people make decisions that lead to real progress. If you bring a specialist skillset, you'll use it in a hands on way. Working alongside client teams, showing by doing, and helping others learn by doing it with you. You'll join small, multidisciplinary teams helping our clients with a wide range of challenges. That could mean improving public facing digital services, researching tricky policy areas, or helping large organisations shift how they work and what they value. This is a role where you'll be learning all the time by working closely with people who bring different perspectives, backgrounds, and skills. It's also a chance to make a bigger impact, by helping others build the confidence and capability to keep making change after we've stepped away. How you'll make an impact Lead day to day delivery on client projects, taking responsibility for the team's work and direction. Build strong, trusted relationships with clients and their teams, working as an advisor and coach. Undertake research and synthesise insights, developing high quality written outputs. Develop, design and implement quantitative analysis and metrics to measure impact on client engagements, working alongside the Public Digital Impact lead. Help shape transformation plans and support clients to deliver real, measurable outcomes. Make sure delivery stays on track and to a high standard, with a focus on what matters to users. Use your experience to improve how organisations work and the services they deliver. Help set up new projects well, and look after team health, delivery quality, and financial performance. Support partners and directors by spotting opportunities to grow our work and build new relationships. Contribute to the life and direction of Public Digital as a values led organisation. Create a positive, inclusive environment in your project teams and across the wider business. What we're looking for PD looks for a range of strengths in areas and awareness and knowledge in others. You do not need to meet all of the following to apply but we'd love to see solid experience in 6 7 of these. Experience leading and empowering multidisciplinary teams to deliver high quality work from start to finish A pragmatic, proactive approach to managing complex client engagements, with strong organisation and delivery skills Experience working on digital, service delivery or transformation initiatives, whether in government, health, international development, the private sector, or another complex environment A solid understanding of agile, user centred approaches and how digital transformation works in practice, especially in the UK context Strong stakeholder management skills, comfortable working in complex environments and making progress in ambiguity Excellent communication skills, with the ability to explain complex or technical concepts clearly in writing and in person An understanding of how to support healthy, collaborative team dynamics and ways of working A track record of contributing to digital communities or sharing knowledge through talks, blogs, or similar channels Quantitative or business analysis skills to help our clients, and us, understand the impact of digital transformation. Awareness and understanding of forms of artificial intelligence and their application. How you will be assessed: We want to understand your background, experiences, perspective, and what motivates you to work with us. We start with an initial sift of all applications, assessed against the "What we're looking for" criteria in the advert. If you're shortlisted, the selection process may include a mix of the following : A short phone interview (up to 30 minutes) with a member of our hiring team. A panel interview, which includes a case study exercise. You'll receive the case study in advance, along with full details about the format. An informal peer chat, giving you the chance to speak with someone in a similar role at Public Digital. Each stage is designed to be a two way conversation, giving you the chance to get to know us too. Please note that we have seen an increase in candidates using AI to complete their answers, we use tools designed to detect AI generated answers and will reject candidates if we suspect they have used this technology. Why you should apply Opportunity to grow and progress rapidly within an engaged, supportive environment. Be entrepreneurial and contribute to the growth and success of Public Digital. Deliver high impact work with leading institutions around the world. Emphasis on learning, development, and progression. Build and develop your expertise and profile through publishing blog posts, presenting at events, and sharing knowledge. Empowerment to do your best work. Home and remote working, with flexibility in how you deliver work. Buddy system and prioritised mental health. Generous holiday allowance of 30 days, plus an additional office closure over the Christmas period. Private healthcare cover. Flexible benefits allowance. Be a part of our amazing work culture. To read more about it please visit our Careers page which gives more details about our culture, employees and benefits. We're an equal opportunities employer. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best. Public Digital's mission is to help institutions thrive in the internet era - to do that well, we aim to hire and empower people who reflect the diversity of the users, communities and organisations we work with. We actively encourage applications from under represented and minoritised groups, including those with lived experience of the challenges we're working to address. We're keen to hear from curious, collaborative and thoughtful people regardless of gender, age, ethnic identity, religion, socio economic status, sexual orientation, neurodiversity or physical disability. If you're excited about this role but your past experience doesn't align perfectly with every requirement in the job description, please apply anyway, you may just be the right candidate for this or other roles in our wider team. Things you need to know Salary We'll offer a salary that reflects your experience and the skills you show throughout the process. We aim to be as competitive as possible based on what you bring to the role. Flexible working We support flexible working, and you can split your time between home and our London office. Most of the team comes in around once a week to collaborate, but there's no set requirement to be in regularly. However, as this is a client facing role, there may be times when you'll need to travel to a client's office or attend in person meetings, depending on the needs of the project. While we offer flexibility where we can, we also appreciate the same in return when it comes to meeting client expectations. Right to work You'll need to already have the right to work in the UK when you start. We're not able to sponsor visas for this role. Reserve list If the current live roles are filled but we consider you right for PD, you will be offered the chance to join our reserve list . click apply for full job details
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: Its Wednesday afternoon. Youve enjoyed your day, and now its time for your shift as a Field Market Research Interviewer! Youre heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three youve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm click apply for full job details
Mar 01, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: Its Wednesday afternoon. Youve enjoyed your day, and now its time for your shift as a Field Market Research Interviewer! Youre heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three youve pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm click apply for full job details
Skilled Tractor Driver/Sprayer Operator - Fresh Produce Farming This role is not eligible for UK Visa Sponsorship - the successful applicant must have existing Right to Work in the UK. Are you an experienced and motivated Sprayer Operator with a passion for high-quality crop production and sustainable farming systems? Do you thrive working outdoors, operating modern application equipment, and maintaining high standards of compliance and record keeping? Are you looking to develop your career within a progressive fresh produce farming business? Location of the Job: Kent - Accommodation may be available - to be discussed Salary & Benefits Package: £40-43Kpa plus family accommodation Permanent, full-time position Flexible hours required during peak season Ongoing training and professional development supported Additional Information: This role would suit an experienced Tractor Driver / Sprayer Operator or Farm Machinery Operative with strong crop protection experience, attention to detail, and a proactive approach to machinery care and compliance. About the Company My client is a leading UK fresh produce farming business producing high-quality salad and herb crops for major retailers. The business is committed to sustainable crop production, environmental stewardship, and maintaining high technical and audit standards, supported by continued investment in people, technology, and infrastructure. Sprayer Operator - The Job Role Details You will be responsible for the safe, accurate, and timely application of crop protection products and fertilisers across salad and herb crops. You will also support wider farm operations including groundwork, machinery maintenance, and seasonal growing tasks. The role requires a strong focus on compliance, record keeping, and maintaining audit-ready standards across chemical storage, equipment, and farm systems. Key Responsibilities Accurate and timely application of fertilisers and crop protection products, including working outside normal hours when required due to weather conditions Maintain and update application records using farm recording systems Monitor and maintain adequate stock levels of chemicals and fertilisers, ensuring compliant storage Maintain chemical store cleanliness and audit readiness Clean, maintain, and ensure spraying and spreading equipment remains compliant and audit ready Maintain required NRoSO points and comply with environmental risk assessments Support research and trials of new application technologies Communicate crop or operational risks to the Farm Manager Support groundwork and growing operations, particularly at season start and finish Ensure full compliance with company Health & Safety and farm procedures Ideal Candidate Skills & Qualifications You will have / be: A skilled tractor driver with experience in crop protection spraying Strong attention to detail and commitment to quality standards Competent using farm recording or digital farm management systems Good communication skills and ability to work within a team Strong understanding of health, safety, and environmental compliance Desirable: Experience in fresh produce or intensive cropping systems Interest in application technology and innovation Qualifications PA1, PA2, PA4S, PA6 NRoSO Registered Working Hours Full-time Weather and seasonal demands may require flexibility and extended hours during peak periods How to Apply Please click on the 'apply now' button. As we are a specialist recruitment business within the Agricultural and Farming industry, we do require that ALL applicants must hold an NVQ Level 2, Scottish NVQ Level 2 or an equivalent qualification which is relevant and necessary for the job that you are applying for. The Industry (Key Words) Skilled Tractor Driver, Sprayer Operator, Crop Protection, Fresh Produce, Salad Crops, Farm Machinery, Agriculture Jobs, Pesticide Application, NRoSO, PA Certificates, Field Operations We thank all applicants who apply for this role. However, only those shortlisted for interview will be contacted. Rest assured your application will be handled in complete confidence and your personal details will not be shared with any third party without your prior consent. About Us Established in 2013, Agricultural and Farming Jobs provide expert recruitment, headhunting, and job advertising services across agriculture, horticulture, food and fresh produce, veterinary, animal health, agrochemicals, machinery, technical and engineering, and specialist education sectors across the UK and internationally. JBRP1_UKTJ
Mar 01, 2026
Full time
Skilled Tractor Driver/Sprayer Operator - Fresh Produce Farming This role is not eligible for UK Visa Sponsorship - the successful applicant must have existing Right to Work in the UK. Are you an experienced and motivated Sprayer Operator with a passion for high-quality crop production and sustainable farming systems? Do you thrive working outdoors, operating modern application equipment, and maintaining high standards of compliance and record keeping? Are you looking to develop your career within a progressive fresh produce farming business? Location of the Job: Kent - Accommodation may be available - to be discussed Salary & Benefits Package: £40-43Kpa plus family accommodation Permanent, full-time position Flexible hours required during peak season Ongoing training and professional development supported Additional Information: This role would suit an experienced Tractor Driver / Sprayer Operator or Farm Machinery Operative with strong crop protection experience, attention to detail, and a proactive approach to machinery care and compliance. About the Company My client is a leading UK fresh produce farming business producing high-quality salad and herb crops for major retailers. The business is committed to sustainable crop production, environmental stewardship, and maintaining high technical and audit standards, supported by continued investment in people, technology, and infrastructure. Sprayer Operator - The Job Role Details You will be responsible for the safe, accurate, and timely application of crop protection products and fertilisers across salad and herb crops. You will also support wider farm operations including groundwork, machinery maintenance, and seasonal growing tasks. The role requires a strong focus on compliance, record keeping, and maintaining audit-ready standards across chemical storage, equipment, and farm systems. Key Responsibilities Accurate and timely application of fertilisers and crop protection products, including working outside normal hours when required due to weather conditions Maintain and update application records using farm recording systems Monitor and maintain adequate stock levels of chemicals and fertilisers, ensuring compliant storage Maintain chemical store cleanliness and audit readiness Clean, maintain, and ensure spraying and spreading equipment remains compliant and audit ready Maintain required NRoSO points and comply with environmental risk assessments Support research and trials of new application technologies Communicate crop or operational risks to the Farm Manager Support groundwork and growing operations, particularly at season start and finish Ensure full compliance with company Health & Safety and farm procedures Ideal Candidate Skills & Qualifications You will have / be: A skilled tractor driver with experience in crop protection spraying Strong attention to detail and commitment to quality standards Competent using farm recording or digital farm management systems Good communication skills and ability to work within a team Strong understanding of health, safety, and environmental compliance Desirable: Experience in fresh produce or intensive cropping systems Interest in application technology and innovation Qualifications PA1, PA2, PA4S, PA6 NRoSO Registered Working Hours Full-time Weather and seasonal demands may require flexibility and extended hours during peak periods How to Apply Please click on the 'apply now' button. As we are a specialist recruitment business within the Agricultural and Farming industry, we do require that ALL applicants must hold an NVQ Level 2, Scottish NVQ Level 2 or an equivalent qualification which is relevant and necessary for the job that you are applying for. The Industry (Key Words) Skilled Tractor Driver, Sprayer Operator, Crop Protection, Fresh Produce, Salad Crops, Farm Machinery, Agriculture Jobs, Pesticide Application, NRoSO, PA Certificates, Field Operations We thank all applicants who apply for this role. However, only those shortlisted for interview will be contacted. Rest assured your application will be handled in complete confidence and your personal details will not be shared with any third party without your prior consent. About Us Established in 2013, Agricultural and Farming Jobs provide expert recruitment, headhunting, and job advertising services across agriculture, horticulture, food and fresh produce, veterinary, animal health, agrochemicals, machinery, technical and engineering, and specialist education sectors across the UK and internationally. JBRP1_UKTJ
We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies. Earn up to £700 a week in your free time by providing feedback on everyday products and services. No prior experience is needed. If you're comfortable sharing your opinions, you're already qualified! Most research studies are conducted remotely at home, though some may be in-person. As a participant, you could also be among the first to try new products before they launch publicly. Apply today to check your eligibility. Openings are limited! Compensation: Up to £700 per week (amount varies by assignment type) Requirements: A smartphone, tablet, or computer with a camera A reliable internet connection Ability to follow instructions and provide thoughtful feedback Comfort participating in remote, part-time studies No prior receptionist or typist experience required Your Role: Be present at least 15 minutes before your scheduled session Complete required written and verbal tasks If needed, try out products or services ahead of your session If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work at home part-time opportunities - this is your chance! Apply now and see if you qualify.
Mar 01, 2026
Full time
We're currently looking for individuals across the country to take part in remote paid research, including remote focus groups, product trials, and consumer studies. Earn up to £700 a week in your free time by providing feedback on everyday products and services. No prior experience is needed. If you're comfortable sharing your opinions, you're already qualified! Most research studies are conducted remotely at home, though some may be in-person. As a participant, you could also be among the first to try new products before they launch publicly. Apply today to check your eligibility. Openings are limited! Compensation: Up to £700 per week (amount varies by assignment type) Requirements: A smartphone, tablet, or computer with a camera A reliable internet connection Ability to follow instructions and provide thoughtful feedback Comfort participating in remote, part-time studies No prior receptionist or typist experience required Your Role: Be present at least 15 minutes before your scheduled session Complete required written and verbal tasks If needed, try out products or services ahead of your session If the idea of getting paid to voice your opinions, test products, and contribute to market innovation appeals to you - and you're looking for flexible, work at home part-time opportunities - this is your chance! Apply now and see if you qualify.
About Sano Mission: what we do Accelerating the world's transition to personalised medicine Purpose: why we do it To speed up development of life saving treatments for those with limited options Vision: where we're going Become the world's best source of patient-in-the-loop genomic and health data for precision medicine development Curious to dive deeper? Read more about what we do here Brief into to the role, who they are reporting to, Headlines: Role - VP Data & Engineering Salary -£120,000 to £150,000 depending on experience Location - UK (remote only) As VP of Engineering & Data, you'll be a hands on, strategic leader for a small high impact team. You'll own the technical direction and delivery for our engineering function, including front end, backend, and platform disciplines. You will be instrumental in ensuring we can reliably ingest, curate, and serve high quality multi modal datasets (genomics + health/clinical + patient reported) and turn them into products that accelerate precision medicine trials, and make it easier for patients and families to take part. This is a "player coach" leadership role: you'll set direction, manage/build the team, while still being close enough to the work to provide guidance and make great technical/business decisions quickly. How you'll make an impact: Own the engineering + data strategy: set a clear technical vision and architecture that supports Sano's product and commercial goals, balancing speed, quality, and long term scalability. Build and evolve our multi modal data platform: design and deliver pipelines that ingest, standardise, validate, and serve data across modalities (e.g., genomics, EMR/clinical data, genetic testing lab results, patient reported outcomes, study operations and/or site data, device/wearable data, unstructured data like documents/notes). Make data "product grade": establish a high bar for data quality, provenance/lineage, versioning, reproducibility, and observability, so customers and regulators can trust what we deliver. Turn data into customer value: partner closely with Product to build data powered workflows and surfaces (APIs, internal tools, partner ready datasets/exports, analytics capabilities, cohort discovery, operational insights) that improve study outcomes and patient experience. Lead the team: hire, coach, and retain a high performing group of engineers and data specialists; create clear ownership, pragmatic processes, and an environment where people do the best work of their careers. Strengthen engineering fundamentals: drive architectural coherence, security by design, reliability, and a strong SDLC (testing, CI/CD, code review standards, documentation, incident response, on call expectations appropriate to our size). Embed privacy, consent, and security into everything: ensure our systems meet the expectations that come with sensitive health and genomic data, and partner with internal stakeholders on governance and risk. Be a cross functional multiplier: work tightly with the SVP of Product (and the broader Leadership Team as well as Sano's Product team) to make great trade offs, communicate clearly, and deliver outcomes Scale with intention: take accountability for sprint planning, prioritisation, metrics, decision making frameworks, to increase throughput and predictability without creating bureaucracy. This job is for you if you: Have led engineering teams in small, fast moving environments where you had to be both strategic and highly execution oriented. Have deep hands on experience designing and operating production systems, and can still dive into architecture, reviews, and the hardest technical problems when needed. Have built and shipped data platforms and data products, where data integrity, auditability, and customer outcomes mattered. Understand multi source data integration including entity resolution, schema evolution, data schema/ontologies, validation rules, backfills, and tooling to keep pipelines reliable over time. Can operate comfortably with ambiguity, set direction, and make sound decisions with incomplete information. Communicate clearly and directly, especially in a remote first environment, with technical and non technical stakeholders. Care deeply about building technology that impacts patients' lives, and take patient trust seriously. Must have experience: Building and operating production grade data pipelines, including orchestration, monitoring, alerting, and reliable backfills. Data quality + governance foundations: validation, lineage/provenance, access controls, versioning, and clear definitions of "source of truth." Delivering data powered user facing or partner facing products, such as APIs, dataset delivery mechanisms, analytics surfaces, or workflow tools driven by integrated datasets. Designing systems for sensitive data (health/PII/PHI): secure by default architecture, least privilege access, strong operational discipline, and a pragmatic approach to compliance. Leading teams with high autonomy: hiring, coaching, setting expectations, and creating a culture of ownership and delivery. Even better if you have: Experience in genomics, precision medicine, clinical research, or healthcare data GxP environments. Familiarity with healthcare data standards or common models (e.g., FHIR/HL7, OMOP), and/or experience working with unstructured clinical documents and extraction/normalisation workflows. Experience building consent aware data systems (where permissions and data usage constraints are first class). Experience with security/compliance programmes (e.g., SOC 2 / ISO 27001 / similar), including partnering on audits and implementing realistic and balanced controls. Experience with modern data stacks (warehouse/lakehouse), data quality frameworks, and strong opinions about what to keep simple at a startup. Experience building ML/AI use cases in production, incorporating multi modal data in a regulated and high trust environment like healthcare. This role is unlikely to be a great match if: You prefer leading large organisations with narrow scopes and lots of established processes. This role is hands on and broad and requires agility. You want to focus only on people management or only on technical work - we need a leader who can do both and can model excellence. You're uncomfortable making trade offs and moving quickly in ambiguity, or you need very detailed direction to do your best work. You don't enjoy close collaboration with Product, including shaping priorities and saying "no" (or "not yet") when needed. Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work related, tell us about your journey, and about what you learnt. So, if this role excites you, don't let our role description hold you back, get applying! Hiring Process Initial culture fit call with the CEO 60 min technical interview with 3 members of the engineering team 60 min interview with VP product & Delivery ️ Panel working session: We'll share 1-2 real challenges we're currently facing (with relevant context such as roadmap, product architecture, and commercial materials) and ask you to discuss how you would approach solving them over the next 3, 6, and 12 months in an interactive session with the panel. Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. All interviews at Sano take place virtually. Please let us know if we can help make a virtual interview run smoother for you. Please note: We can only accept applications from those eligible to live and work in the UK or in the USA (for specific roles). We are unable to sponsor visas for this position. Diversity, Equity, Inclusion and Belonging At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn't just an initiative at Sano. We strive to embed it not just into our values but throughout our entire culture.
Mar 01, 2026
Full time
About Sano Mission: what we do Accelerating the world's transition to personalised medicine Purpose: why we do it To speed up development of life saving treatments for those with limited options Vision: where we're going Become the world's best source of patient-in-the-loop genomic and health data for precision medicine development Curious to dive deeper? Read more about what we do here Brief into to the role, who they are reporting to, Headlines: Role - VP Data & Engineering Salary -£120,000 to £150,000 depending on experience Location - UK (remote only) As VP of Engineering & Data, you'll be a hands on, strategic leader for a small high impact team. You'll own the technical direction and delivery for our engineering function, including front end, backend, and platform disciplines. You will be instrumental in ensuring we can reliably ingest, curate, and serve high quality multi modal datasets (genomics + health/clinical + patient reported) and turn them into products that accelerate precision medicine trials, and make it easier for patients and families to take part. This is a "player coach" leadership role: you'll set direction, manage/build the team, while still being close enough to the work to provide guidance and make great technical/business decisions quickly. How you'll make an impact: Own the engineering + data strategy: set a clear technical vision and architecture that supports Sano's product and commercial goals, balancing speed, quality, and long term scalability. Build and evolve our multi modal data platform: design and deliver pipelines that ingest, standardise, validate, and serve data across modalities (e.g., genomics, EMR/clinical data, genetic testing lab results, patient reported outcomes, study operations and/or site data, device/wearable data, unstructured data like documents/notes). Make data "product grade": establish a high bar for data quality, provenance/lineage, versioning, reproducibility, and observability, so customers and regulators can trust what we deliver. Turn data into customer value: partner closely with Product to build data powered workflows and surfaces (APIs, internal tools, partner ready datasets/exports, analytics capabilities, cohort discovery, operational insights) that improve study outcomes and patient experience. Lead the team: hire, coach, and retain a high performing group of engineers and data specialists; create clear ownership, pragmatic processes, and an environment where people do the best work of their careers. Strengthen engineering fundamentals: drive architectural coherence, security by design, reliability, and a strong SDLC (testing, CI/CD, code review standards, documentation, incident response, on call expectations appropriate to our size). Embed privacy, consent, and security into everything: ensure our systems meet the expectations that come with sensitive health and genomic data, and partner with internal stakeholders on governance and risk. Be a cross functional multiplier: work tightly with the SVP of Product (and the broader Leadership Team as well as Sano's Product team) to make great trade offs, communicate clearly, and deliver outcomes Scale with intention: take accountability for sprint planning, prioritisation, metrics, decision making frameworks, to increase throughput and predictability without creating bureaucracy. This job is for you if you: Have led engineering teams in small, fast moving environments where you had to be both strategic and highly execution oriented. Have deep hands on experience designing and operating production systems, and can still dive into architecture, reviews, and the hardest technical problems when needed. Have built and shipped data platforms and data products, where data integrity, auditability, and customer outcomes mattered. Understand multi source data integration including entity resolution, schema evolution, data schema/ontologies, validation rules, backfills, and tooling to keep pipelines reliable over time. Can operate comfortably with ambiguity, set direction, and make sound decisions with incomplete information. Communicate clearly and directly, especially in a remote first environment, with technical and non technical stakeholders. Care deeply about building technology that impacts patients' lives, and take patient trust seriously. Must have experience: Building and operating production grade data pipelines, including orchestration, monitoring, alerting, and reliable backfills. Data quality + governance foundations: validation, lineage/provenance, access controls, versioning, and clear definitions of "source of truth." Delivering data powered user facing or partner facing products, such as APIs, dataset delivery mechanisms, analytics surfaces, or workflow tools driven by integrated datasets. Designing systems for sensitive data (health/PII/PHI): secure by default architecture, least privilege access, strong operational discipline, and a pragmatic approach to compliance. Leading teams with high autonomy: hiring, coaching, setting expectations, and creating a culture of ownership and delivery. Even better if you have: Experience in genomics, precision medicine, clinical research, or healthcare data GxP environments. Familiarity with healthcare data standards or common models (e.g., FHIR/HL7, OMOP), and/or experience working with unstructured clinical documents and extraction/normalisation workflows. Experience building consent aware data systems (where permissions and data usage constraints are first class). Experience with security/compliance programmes (e.g., SOC 2 / ISO 27001 / similar), including partnering on audits and implementing realistic and balanced controls. Experience with modern data stacks (warehouse/lakehouse), data quality frameworks, and strong opinions about what to keep simple at a startup. Experience building ML/AI use cases in production, incorporating multi modal data in a regulated and high trust environment like healthcare. This role is unlikely to be a great match if: You prefer leading large organisations with narrow scopes and lots of established processes. This role is hands on and broad and requires agility. You want to focus only on people management or only on technical work - we need a leader who can do both and can model excellence. You're uncomfortable making trade offs and moving quickly in ambiguity, or you need very detailed direction to do your best work. You don't enjoy close collaboration with Product, including shaping priorities and saying "no" (or "not yet") when needed. Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will set you apart so tell us about your achievements, irrespective of whether they are personal or work related, tell us about your journey, and about what you learnt. So, if this role excites you, don't let our role description hold you back, get applying! Hiring Process Initial culture fit call with the CEO 60 min technical interview with 3 members of the engineering team 60 min interview with VP product & Delivery ️ Panel working session: We'll share 1-2 real challenges we're currently facing (with relevant context such as roadmap, product architecture, and commercial materials) and ask you to discuss how you would approach solving them over the next 3, 6, and 12 months in an interactive session with the panel. Support - If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best - please let us know so we can talk about how we can best support you and make any adjustments that may be needed. All interviews at Sano take place virtually. Please let us know if we can help make a virtual interview run smoother for you. Please note: We can only accept applications from those eligible to live and work in the UK or in the USA (for specific roles). We are unable to sponsor visas for this position. Diversity, Equity, Inclusion and Belonging At Sano, we're committed to creating an environment that promotes diversity, equity, inclusion and belonging. We are a global community and we believe our unique qualities should be celebrated as they are critical to our innovation. It's essential to us that you bring your authentic self to work every single day, no matter your age, ethnicity, religion, citizenship, gender identity, sexual orientation, disability status, caring responsibilities, neurodiversity, or otherwise. Inclusion isn't just an initiative at Sano. We strive to embed it not just into our values but throughout our entire culture.
We are the UK's leading premium publisher, home to iconic and influential media brands including Cosmopolitan, Esquire, Elle, Harper's Bazaar, and Country Living. At Hearst UK, we don't just create content - we shape culture. Our workplace is built on collaboration, creativity, and trust. We champion bold ideas, embrace innovation, and continually evolve to meet the moment - all while celebrating the legacy that's brought us here. We believe in each other's potential and push boundaries together to make a meaningful impact, both in the media landscape and in people's lives. We're proud of our heritage - but even more excited about making history. Hearst UK operate a hybrid working model of four days per week in the office and one day working from home. Our office is based at House of Hearst, 30 Panton Street, St James's, London, SW1Y 4AJ, where teams collaborate in person and connect across brands and functions. The Role As the Customer Insight Director at Hearst UK, you will lead insight generation and delivery across marketing, editorial, product, strategy, partnerships, new business development, and commercial/advertising at Hearst. This is an independent, hands on role, suited to someone who is comfortable rolling up their sleeves and personally leading the design, execution and delivery of high quality research using advanced methodologies. You will work closely with senior leaders and peers to shape decision making and unlock growth opportunities across the Hearst portfolio of brands. Main Duties Independently manage in house research projects end to end, from briefing and design, to execution, analysis, and debrief (surveys, communities, qual, UX), and augmenting in house activities with external partners where necessary, to deadline and on budget. Integrate a broad set of data (behavioral analytics, first party data, qualitative, trends, contextual data) into unified narratives and insights that inform marketing, editorial, product, partnership, and commercial/advertising decisions through evidence based storytelling, with concise, actionable recommendations. Lead debriefs, readouts, and workshops with senior leaders and peers; codify best practices, templates, and playbooks for repeatable impact. Partner with peers across the Customer team to leverage other data sources and share knowledge for delivering holistic customer understanding and best in class insight. Establish and manage the ongoing insights delivery for our customer satisfaction programme across 15 brands. Contribute to the ongoing dissemination of insight to the wider organization through newsletters, knowledge sessions, surgeries, etc. Coach and develop junior team members to deliver high quality, reproducible research and insight at pace. What We Are Looking For Core Technical Skills Expert analytical thinker with strong curiosity; comfortable across qualitative and quantitative data - and any other types of data. Deep general market research experience with advanced methodology and project expertise (segmentation, market sizing, pricing, brand tracking, conjoint/MaxDiff, etc.), including research design (sampling frameworks, weighting), and analysis (factor analysis, cluster analysis, regression, etc.). Has practical experience of execution of these. Meticulous attention to detail; robust validation and triangulation across sources. Experience of working with survey platforms, including scripting and QA ing quantitative studies and running qualitative research at scale. Experience of undertaking qualitative work, from moderation (IDIs, focus groups, online communities), to ethnographic and observational research and UX studies. Has practical experience of execution of these. Communication & Storytelling Clear, influential communicator to executive and cross functional teams. Storytelling that connects customer evidence to strategy, product, and partnership choices; strong visual presentation. Great at synthesizing complex information, gets to impact and action. Business & Strategic Acumen Good understanding of growth levers for media companies. Problem solver who prioritises initiatives with highest enterprise impact. Builds trusted relationships with senior stakeholders; facilitates alignment and influences decision making; acts as a trusted advisor. Collaborative, active listener; adapts approach to audience, scope, or new data. Personal Attributes Persistent, open minded, and committed to continuous learning; elevates team standards. Ethical steward of data and customer trust. Passionate, authentic, creative, and entrepreneurial. (Your benefits at Hearst UK are more than just extras-they are tools to help you thrive in every part of life. Hearst Exclusives - Only for You! Get adventurous with Good Housekeeping Taste and Beauty Testing Panels - yes, you could be trying the next big thing in beauty, food & drink. Snag luxe beauty steals at our legendary office sample sales - score big on top brands without breaking the bank! Inclusion, Health & Wellbeing: Feel Your Best Stay healthy with Specsavers eye care, a company funded Health Cash Plan, and access to mental health support. Get active and stress free with discounted gym memberships and the Cycle to Work scheme. Embrace flexibility with a Location Flex and Holiday Exchange to take time when you need it. Take time to give back with a Charity Day and access wellbeing resources whenever you need them. Join one of our Hearst ERG Groups. Financial Wellness - Boost Your Budget Plan ahead with a generous Workplace Pension, Income Protection, Life Assurance and Season Ticket Loan for easier commuting. Make smarter money moves using Salary Finance tools, Financial Wellbeing sessions, and Home Tech benefits to spread costs. Treat yourself with major discounts across London plus everyday savings via the HAPI at Hearst app. Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in - one that respects, protects, represents and uplifts the voices and opinions of all people. As a business, we recognise the significant benefits of creativity, collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organization the right thing to do, but it also helps us to make powerful and exciting content that can be enjoyed by many more people. This is why we're working to build a sense of true belonging within our business and foster a culture in which everyone feels heard. Job Info Job Identification Job Category Information Technology (Internal) Posting Date 02/26/2026, 05:30 PM Job Schedule Full time Locations 30 Panton Street, LONDON, LONDON, SW1Y 4AJ, GB (Hybrid)
Mar 01, 2026
Full time
We are the UK's leading premium publisher, home to iconic and influential media brands including Cosmopolitan, Esquire, Elle, Harper's Bazaar, and Country Living. At Hearst UK, we don't just create content - we shape culture. Our workplace is built on collaboration, creativity, and trust. We champion bold ideas, embrace innovation, and continually evolve to meet the moment - all while celebrating the legacy that's brought us here. We believe in each other's potential and push boundaries together to make a meaningful impact, both in the media landscape and in people's lives. We're proud of our heritage - but even more excited about making history. Hearst UK operate a hybrid working model of four days per week in the office and one day working from home. Our office is based at House of Hearst, 30 Panton Street, St James's, London, SW1Y 4AJ, where teams collaborate in person and connect across brands and functions. The Role As the Customer Insight Director at Hearst UK, you will lead insight generation and delivery across marketing, editorial, product, strategy, partnerships, new business development, and commercial/advertising at Hearst. This is an independent, hands on role, suited to someone who is comfortable rolling up their sleeves and personally leading the design, execution and delivery of high quality research using advanced methodologies. You will work closely with senior leaders and peers to shape decision making and unlock growth opportunities across the Hearst portfolio of brands. Main Duties Independently manage in house research projects end to end, from briefing and design, to execution, analysis, and debrief (surveys, communities, qual, UX), and augmenting in house activities with external partners where necessary, to deadline and on budget. Integrate a broad set of data (behavioral analytics, first party data, qualitative, trends, contextual data) into unified narratives and insights that inform marketing, editorial, product, partnership, and commercial/advertising decisions through evidence based storytelling, with concise, actionable recommendations. Lead debriefs, readouts, and workshops with senior leaders and peers; codify best practices, templates, and playbooks for repeatable impact. Partner with peers across the Customer team to leverage other data sources and share knowledge for delivering holistic customer understanding and best in class insight. Establish and manage the ongoing insights delivery for our customer satisfaction programme across 15 brands. Contribute to the ongoing dissemination of insight to the wider organization through newsletters, knowledge sessions, surgeries, etc. Coach and develop junior team members to deliver high quality, reproducible research and insight at pace. What We Are Looking For Core Technical Skills Expert analytical thinker with strong curiosity; comfortable across qualitative and quantitative data - and any other types of data. Deep general market research experience with advanced methodology and project expertise (segmentation, market sizing, pricing, brand tracking, conjoint/MaxDiff, etc.), including research design (sampling frameworks, weighting), and analysis (factor analysis, cluster analysis, regression, etc.). Has practical experience of execution of these. Meticulous attention to detail; robust validation and triangulation across sources. Experience of working with survey platforms, including scripting and QA ing quantitative studies and running qualitative research at scale. Experience of undertaking qualitative work, from moderation (IDIs, focus groups, online communities), to ethnographic and observational research and UX studies. Has practical experience of execution of these. Communication & Storytelling Clear, influential communicator to executive and cross functional teams. Storytelling that connects customer evidence to strategy, product, and partnership choices; strong visual presentation. Great at synthesizing complex information, gets to impact and action. Business & Strategic Acumen Good understanding of growth levers for media companies. Problem solver who prioritises initiatives with highest enterprise impact. Builds trusted relationships with senior stakeholders; facilitates alignment and influences decision making; acts as a trusted advisor. Collaborative, active listener; adapts approach to audience, scope, or new data. Personal Attributes Persistent, open minded, and committed to continuous learning; elevates team standards. Ethical steward of data and customer trust. Passionate, authentic, creative, and entrepreneurial. (Your benefits at Hearst UK are more than just extras-they are tools to help you thrive in every part of life. Hearst Exclusives - Only for You! Get adventurous with Good Housekeeping Taste and Beauty Testing Panels - yes, you could be trying the next big thing in beauty, food & drink. Snag luxe beauty steals at our legendary office sample sales - score big on top brands without breaking the bank! Inclusion, Health & Wellbeing: Feel Your Best Stay healthy with Specsavers eye care, a company funded Health Cash Plan, and access to mental health support. Get active and stress free with discounted gym memberships and the Cycle to Work scheme. Embrace flexibility with a Location Flex and Holiday Exchange to take time when you need it. Take time to give back with a Charity Day and access wellbeing resources whenever you need them. Join one of our Hearst ERG Groups. Financial Wellness - Boost Your Budget Plan ahead with a generous Workplace Pension, Income Protection, Life Assurance and Season Ticket Loan for easier commuting. Make smarter money moves using Salary Finance tools, Financial Wellbeing sessions, and Home Tech benefits to spread costs. Treat yourself with major discounts across London plus everyday savings via the HAPI at Hearst app. Hearst UK is deeply committed to using our influential brands to reflect the world we want to live in - one that respects, protects, represents and uplifts the voices and opinions of all people. As a business, we recognise the significant benefits of creativity, collaboration and innovation that comes with diverse teams. Not only is diversifying the voices in our organization the right thing to do, but it also helps us to make powerful and exciting content that can be enjoyed by many more people. This is why we're working to build a sense of true belonging within our business and foster a culture in which everyone feels heard. Job Info Job Identification Job Category Information Technology (Internal) Posting Date 02/26/2026, 05:30 PM Job Schedule Full time Locations 30 Panton Street, LONDON, LONDON, SW1Y 4AJ, GB (Hybrid)
