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

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

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

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

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

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

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

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

Want to do the best work of your life? Make your mark at Europe's leading entertainment brand. Our people make Sky a truly exciting and inclusive place to work - a place where you can be yourself and let your skills shine. Sky's Media's Strategy and Transformation Team is responsible for shaping and developing Sky Media's proposition to maintain and deliver ad revenue growth for Sky Media. The Propositions team are responsible for identifying , defining and developing new and existing advertising propositions for Sky Media . From shaping our core propositions such as AdSmart , to exploring and testing new ad products, and large projects such as Sky Media's recently launched Sports Marketplace. The team also plays a central role in bringing these propositions to market - working with other teams to develop go-to-market strategy, leading delivery of sales materials, and educating our teams on the latest developments. The Propositions Controller is a senior member of the team, taking on the responsibility for both the leading the management and delivery of key projects and ongoing" function of the propositions team. What you'll do • Identify and lead development of new advertising products and propositions for Sky Media., • Work with teams across Sky to develop new advertising innovations around Sky's consumer products and content., • Generate specific sales collateral for internal and external use including presentations, key facts, FAQs and bespoke materials for supporting Sky Media strategic decisions, • Work with Sky Media Marketing Team to ensure quality external communication around key product launches and developments feature in Sky Media's broader marketing plan., • Support the conversation on product developments with agencies, advertisers and across the industry., • Track the success of new and existing propositions in market to identify opportunities and inform future proposition development What you'll bring, • Highly organised, with strong project management skills, including "experience in dealing and communicating with senior stakeholders across multiple departments., • Strong commercial acumen - comfortable working with financial data and building business cases., • Understanding of the UK Advertising landscape, ad technology and digital and broadcast media., • Extensive experience in creating internal and external pitches, including building and delivering high quality presentations to sell ideas to stakeholders, partners and customers., • Strong analytical and research skills, and the demonstrated ability identify opportunities and build stories around those opportunities. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences How you'll work: We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your office base: Osterley Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. A job you love to talk about. 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.

Technical Product Owner plays a key role in ALABS, acts as a product pioneers, ensuring that products meet business needs and interpersonal goals. This role involves understanding business needs, capturing and analyzing requirements, defining product vision and collaborating with engineering teams to deliver high-quality products. The TPO ensures that products align with business goals, customer needs, and market trends while demonstrating strong analytical and problem-solving skills. This position requires strong analytical thinking, clear communication, and proficiency in conveying complex technical concepts into actionable product outcomes What you'll do • Collaborate with members of the business group to capture, clarify, and document product and technical requirements., • Transform business needs into well-defined user stories, acceptance criteria, and technical documentation., • Act as a link between cross-functional teams, including engineering, QA, UX, and business team members, • Support backlog grooming and sprint planning by prioritizing features based on value, effort, and dependencies., • Conduct data analysis and user research to inform product decisions and improve user experience., • Track and communicate product achievements, risks, and trade-offs to relevant team members., • Participate in Agile rituals to ensure product goals stay on track., • Facilitate alignment between technical implementation and business goals throughout the development lifecycle., • Use metrics, feedback, and insights to recommend product improvements and influence future development., • Ensure consistent, clear communication with partners at multiple levels to support visibility and engagement. What we are looking for • Product management experience., • Strong technical background (CS degree or equivalent experience, engineering experience, or deep familiarity with cloud applications)., • Ability to interpret organizational needs and express them as clear technical requirements, user stories, and acceptance criteria., • Experience with JIRA, Confluence, and wireframing tools (Figma, Lucidchart, Visio)., • Understanding of APIs, cloud platforms, databases, and software development lifecycle (SDLC), • Business Requirement Gathering & Documentation skills., • Experience in agile methodologies, lean development, and best engineering practices. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V * World Leader in Gaming Entertainment * Robust benefits package * Global career opportunities Our Values * All about the Player * Talent Unleashed * Collective Brilliance * Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

We are seeking a dedicated and experienced Mobile Applications Product Owner to join our sophisticated product management team. You will be responsible for the development and execution of our mobile app product strategy, driving innovation, and delivering outstanding mobile experiences to our clients and end users based on our new Platform. What You'll Do * Define and implement the product vision, strategy, and roadmap, aligning with overall company objectives and customer needs. * Align technical aspects of mobile applications, ensuring architectural decisions support product objectives, scalability, and performance requirements. * Conduct market research, analyze industry trends, and capture customer feedback to see opportunities for product innovation and differentiation. * Collaborate closely with cross-functional teams including engineering, Product Solution, Product Designers, CRM, Games and other team members * Lead product lifecycle from concept to launch, ensuring timely delivery of high-quality mobile app releases. * Develop and maintain a deep understanding of our target users, their needs, and behaviors, and leverage insights to drive product decisions. * Work closely with UX/UI designers and other Product Managers to build intuitive and engaging mobile app interfaces and user experiences. * Define and supervise key performance indicators (important metrics) to measure the success and efficiency and use data-driven insights to optimize performance. * Drive continuous improvement and optimization through iterative development, A/B testing, and user feedback loops. * Stay current with industry developments, new technologies, and standard methodologies in mobile app development and product management. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We’re a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V * World Leader in Gaming Entertainment * Robust benefits package * Global career opportunities Our Values * All about the Player * Talent Unleashed * Collective Brilliance * Good Business Good Citizen Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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. Within Commerce Design, this role supports the Head of Design responsible for Checkout, Activation, and Manage experiences, working closely with the Heads and Leads responsible for Hooks & Storefronts, and Commerce Foundations to create end to end experiences. It does not have people management responsibilities. Hiring manager sits in Philadelphia. What you'll do: • Mentorship, Lead;ership & Design Excellence • Actively mentor junior, mid-level and senior designers , fostering growth, empathy, and shared responsibility to support team health., • Provide thoughtful, actionable feedback and direction across UX and UI disciplines throughout the full design lifecycle , cultivating a collaborative and inclusive design culture., • Champion best practices and elevate design thinking through leadership, example, and active contribution., • Lead core and experimental projects, consistently raising the bar through hands-on execution and strategic initiative. - Strategic Design Leadership, • Own and drive medium-term design strategy, managing multiple projects simultaneously, shifting between direct design work and oversight roles., • Prioritize effectively to maintain momentum and deliver outcomes across complex, multi-platform efforts., • Maintain a strong professional presence and clearly articulate design rationale to diverse stakeholders with credibility and professionalism., • Collaborate closely with cross-functional partners in product, engineering, and business to drive outcomes. What you'll bring :, • Recent experience working either ( preferably ) as a Lead, or as a Senior, clearly ready to make the step to Lead ., • Experience leading multi-platform design projects (native mobile, web , tv experience a plus ) with a hands-on approach, working in collaboration with product and engineering teams., • Proven ability to manage multiple design projects simultaneously, shifting fluidly between hands-on design and strategic oversight of other designers. Ability to resolve ambiguity and maintain momentum to deliver outcomes., • A portfolio that highlights advanced UX/UI design expertise , demonstrating strong problem-solving skills and adaptability across new domains , as well as proficiency in leading design tools such as Figma and Adobe Suite . We need to see samples of documentation across the design process , including artifacts such as user journeys, detailed flows, wireframes, and polished high-fidelity designs ., • Excellent presentation skills, with the ability to tailor delivery appropriately to audience., • Experience designing complex, data-driven user flows and scenarios; commerce experience a plus . Team overview Organization: Global Design, within the Global Product Organization (GPO) We design the experience at the heart of the home , " weaving multiple vertical products into a single horizontal platform for partners, and a world-class"in-home experience for customers. Our full-stack design team encompasses UX & UI designers, industrial designers, content strategists and writers, user researchers, software engineers, and so much more - all focused on quality in even the tiniest details, so the sum total of the in-home experience is excellent for all customers . Team: Commerce Design The Commerce Design team sits within Global Design. We are a team of about 15 people across the US and UK who are responsible for in-product commerce experiences globally across Comcast, Sky and various syndication partners. We build a scalable, world-class commerce ecosystem extending across TV interfaces, mobile apps, and web . As systems thinkers, we simplify complex challenges to create intuitive customer experiences. Grounded in user research, we balance customer needs with business goals and data insights to deliver effective solutions. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and 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.

As one of our Games Data Scientists you will be the business facing masterminds who help turn business questions into actionable insights. You research and analyze player behaviour, and come up with recommendations. Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly and effectively. Games Data Scientists are true visionaries who support business decisions with data and in-depth analytics. You will have the opportunity to work with large and complex data sets, with the autonomy to make a huge impact on the success of our games. You will also be working as part of an experienced and highly skilled team of 20 with opportunities to learn and develop. What you'll do * Discuss with stakeholders requirements for analysis * Run exploratory data analysis and turn it into questions which can be answered with analytical techniques * Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems * Communicate results clearly and effectively * Take care of unclear and ambiguous requirements * Communicate complex ideas and analyses in a simple way * Work independently on complex projects * Be willing to acquire new skills and learn new methodologies, whether related to stakeholder management, communication or data science * Be able to use diverse data science tools and approaches What we're looking for * A degree or equivalent work experience in data driven field * Ability to use visualization techniques for communicating data and analysis * Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal techniques, monte carlo modelling, etc. * R/Python experience * Knowledge and experience of SQL * Ability to work a minimum of 3 days a week in our central london office. Why Product Madness? As part of the Aristocrat family, we share their mission of bringing joy to life through the power of play, with a world-class team who creates top-grossing, leading titles in the social casino genre, including Heart of Vegas, Lightning Link, Cashman Casino. With 800 team members across the globe, Product Madness is headquartered in London, with offices in Barcelona, Gdańsk, Lviv, Montreal and a remote team spanning the USA, making us a truly global powerhouse. We live by our People First principle. Regardless of where, when, or how they work, our team members have opportunities to elevate their careers, and grow alongside us. We take pride in fostering an inclusive culture, where our people are encouraged to be their very best, every day. But don’t just take our word for it. In 2024, we made the Global Inspiring Workplace Awards list, and won a bronze award at the Stevies for Great Employers in the ‘Employer of the Year - Media and Entertainment’ category. So, what’s stopping you? Travel Expectations None Additional Information At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

We are looking for a Senior Direct Marketing Officer to manage a team to deliver a Lottery & Lead Generation programme for a well loved animal welfare charity. This is a London based role with a 50% hybrid working model. The Charity A welcoming and collaborative animal welfare charity, dedicated to protecting animals in need and improving quality of their care. You will be joining a highly respected, passionate organisation, known for its supportive and inclusive working culture, offering fantastic benefits including 28 days annual leave in addition to eight days paid public holidays, a competitive pension scheme, a health cash plan and paid maternity and paternity leave, as well as much more! The Role Your role will encompass operational managament and implementation of the lottery and lead generation programme, budgeting and forecasting, monitoring and reporting of campign results and relationship management. You will lead a team of three to deliver manage multiple direct dialogue and direct marketing projects to acquire and develop supporters who give via a regular gifts. Lead the development and growth of the Lottey product, along with its integration with raffles. Identify new opportunities, research and produce proposals for testing. Drive the creative and functional development of the lead generation programme to maximise the conversion of leads to a regular givers. The Candidate Proven ability to plan, implement and evaluate direct marketing campaigns with substantial understanding of Direct Marketing acquisition and retention across a range of media channels, including Direct Dialogue, Telemarketing, DRTV, Digital and/or Direct Mail. Previous line management experience. Proven ability to analyse results of campaigns. Ability to build rapport and present to a range of audiences and work with both internal teams and external suppliers. negotiating costs, managing relationships and ensuring positive outcomes. IMPORTANT NOTE Our aim is to respond to all successful applications within 5 days. If you havent been contacted within 5 days your application has been unsuccessful, but we positively encourage you to apply for any other positions that you may see in the future. We apologise that we cannot contact everybody in person but thank you in advance for your interest. Third Solutions encourages applications from individuals of all ages & backgrounds. Appointment will be made on merit alone but candidates must be able to demonstrate their ability to work in the UK. Third Solutions acts as an employment agency for permanent recruitment & an employment business for temporary recruitment as defined by the Conduct of Employment Agencies & Employment Business Regulations 2003.

Job Advert – Product Executive Sutton (hybrid) Fixed Term £28,500 - £30,000 Job description Join The Royal Marsden Cancer Charity and help deliver innovative fundraising events that make a real difference for people affected by cancer. As part of our ambitious Public Fundraising team, you’ll play a key role in supporting life-saving research, treatment, and care at The Royal Marsden, helping us to achieve our goal of raising at least £215m over five years. What You’ll Be Doing * Project manage a portfolio of mass participation fundraising events, ensuring all stakeholders are informed and deadlines are met. * Develop and deliver excellent supporter communications to drive income and retention. * Work closely with Marketing to plan and execute campaigns for each event. * Evaluate event performance, recommend improvements, and ensure income targets are met. * Manage event budgets, provide regular reports, and implement contingency plans as needed. * Support the Senior Product Manager with flagship events such as The Banham Marsden March. * Contribute to annual business planning, agreeing objectives, KPIs, and milestones. * Build strong relationships across fundraising, marketing, hospital teams, and external suppliers. * Occasionally attend evening and weekend events to support fundraising activities. * Ensure donor records are accurate and GDPR compliant. * Strive for value for money and greater efficiency in all activities. What We’re Looking For * A dynamic fundraiser with experience in events or fundraising, able to meet income targets through effective marketing and supporter stewardship. * A proactive project manager with excellent organisation, communication, and relationship-building skills. * A collaborative team player who thrives in a fast-paced, ambitious environment and is committed to making a tangible difference for cancer patients. Why Join Us? We’re a values-driven charity committed to saving the lives of people with cancer everywhere by funding life-saving research and world-leading treatment and care at The Royal Marsden. You’ll be part of a collaborative team that’s ambitious, kind, and purposeful – with the flexibility to work in a way that suits you. What we offer: * Hybrid working between home and Sutton with occasional travel to Chelsea. * Flexible working around our core hours of 10am to 4pm * 27 days annual leave rising with length of service * Up to 6% employer contributions subject to matched contribution from you (increasing with length of service) * Training, support and development opportunities * Access to the blue light discount scheme and other discounts opportunities * Access to subsidised staff restaurants, on-site yoga and wellbeing classes, staff choir and much more * Range of wellbeing initiatives including access to an employee assistance programme designed to save money and improve your physical, financial and mental health and wellbeing, access to free online GP appointments and free eye tests and contribution towards any glasses required for work purposes Inclusion Matters We are committed to building a diverse and inclusive workforce that reflects the communities we serve. We welcome applications from all backgrounds and walks of life. If this sounds like the opportunity for you, we’d love to hear from you. How to apply Please send a CV and cover letter of no more than 2 pages, setting out how you meet the criteria in the person specification by 5pm on Friday 9 January 2026. Please note: To avoid disappointment, you are advised to submit your application as soon as possible as we reserve the right to close the vacancy early if a high volume of applications is received. This is to ensure that we can manage application levels whilst maintaining a positive candidate experience. Unfortunately, once a vacancy has closed, we are unable to consider further applications.

We cannot sponsor applicants. Only UK right to work. • London, • £35 - 40k per annum About Grow the Roses At Grow The Roses, we specialise in helping companies find unique commercial product ideas that stand out in the market. Our work has won awards, earned patents and delivered best selling products for brands like IKEA, Kingfisher and Lakeland. We believe every product can be made better. Our strength as a business is in developing products that are functionally better. If you have a passion for inventive products please apply! Responsibilities • Support full cycle product development from concept through to production., • Translate customer needs into new product concepts using sketching visuals and CAD., • Prototyping and validation using CAD, physical models, and iterative testing to de-risk and refine designs., • Support design communication through visuals, presentations, and technical storytelling., • Evaluate designs to improve cost efficiency, manufacturability, quality, and consumer value. About you • Degree in Product or Industrial Design, • At least 2 years experience in a physical product environment (consultancy or in-house), • Concept sketching and user-centred research skills., • Experience taking products through all development stages: concept, prototyping and all the way to production., • Fluent in CAD (SolidWorks preferred)., • Hands-on attitude: building prototypes and test rigs to validate concepts., • Can communicate ideas visually and verbally to clients and team members. Please apply via linkedin or email at

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • Several years of software engineering experience (+5 years), including 2+ years of continuous full-time experience at a top-tier product company (e.g., Google, Stripe, Amazon, Apple, Meta, Netflix, Microsoft, Datadog, Dropbox, Shopify, PayPal, IBM Research)., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. If you are interested in a software engineer role, please ___. Know amazing talent? Refer them at ___, and earn money from your network.

About Locai Labs Locai Labs is The British Foundational AI Company, based in Paddington, London. We are dedicated to building world-class large language models at the forefront of cost, efficiency, and capability. Our mission is to advance cutting-edge AI from within the UK by combining deep technical innovation with engineering excellence, creating scalable models and intelligent systems that power next-generation applications for consumers and enterprises alike. Our work spans across: • Foundational AI model development, • Bespoke agentic applications for enterprise and consumer domains, • APIs and developer tools that enable intelligent automation The Role We are seeking a Software Engineer (Backend, AI Systems) to design and build the backend systems, APIs, and tools that power Locai Labs’ AI models and agentic platforms. You will work on a diverse range of challenges, from model-serving APIs and data pipelines to infrastructure for intelligent agents and automation frameworks. This is a hands-on engineering role for someone who enjoys solving complex technical problems and shipping impactful products. You will collaborate closely with the CTO and engineering team to design, build, and scale production systems that integrate AI into real-world applications. Responsibilities • Design and develop backend systems and APIs for AI-driven products and agent frameworks, • Integrate LLMs into scalable, production-ready systems, • Build internal tools and services to manage agents, workflows, and orchestration logic, • Collaborate with frontend, infrastructure, and research teams to deliver cohesive product experiences, • Contribute to system architecture, technical design, and engineering best practices, • Write clean, maintainable, and well-tested code Required Experience • 2–5 years of professional software engineering experience, ideally working on backend systems, APIs, or AI-related products, • Proficiency in Python and JavaScript/TypeScript (Node.js), • Strong understanding of backend architectures, REST/GraphQL APIs, and data modelling, • Experience with containerisation (Docker) and cloud platforms (GCP, AWS, or similar), • Familiarity with LLM or AI APIs, • Exposure to agentic frameworks (LangChain, LlamaIndex, Semantic Kernel, etc.), • Practical experience with databases (SQL / NoSQL), • Strong foundation in software design principles and systems thinking, • Comfortable working in a fast-paced, early-stage start-up environment with ownership and autonomy Nice to Have • Experience with vector databases or embedding pipelines, • Understanding of event-driven or real-time systems (Kafka, Pub/Sub, etc.), • Knowledge of API authentication, access control, or multi-tenant architectures, • Familiarity with React or other front-end frameworks (for internal tools), • Interest in applied AI research, model fine-tuning, or reasoning agents Environment and Culture You will join a small, highly technical team where your contributions directly shape the company’s technology and products. We value ownership, curiosity, and pragmatism; every engineer at Locai Labs helps define architecture, infrastructure, and product direction. You will work on-site at our Paddington HQ, collaborating closely with the CTO and engineering team in a transparent, fast-moving, and innovation-focused environment. Application Process • Application Review – We evaluate your background and experience., • Take-Home Technical Assessment – A short exercise to demonstrate your engineering approach., • Technical Interview – Discussion of technical depth, design thinking, and problem-solving., • On-Site Session at HQ – Collaboration exercises and technical discussions with the team., • Offer – Formal offer and next steps. If this sounds like you, we would love to hear from you. Apply directly via the form below: (Strictly no agencies or recruiters. We are only accepting direct applications.)

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: • Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems, • Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities, • Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: • MSc in Machine Learning, Computer Science, or a related field, • 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation, • Strong software engineering skills with a focus velocity, • Excellent communication skills and the ability to flourish in a team, • Located in London/Paris and open to working in office Tech Stack: • Python FastAPI, • Python, Typescript, or React, • Open source LLMs, • Building for production Benefits Currently Offered (likely to improve as company grows): • 100% coverage for travel expenses, • Childcare support, • Min. 3 months fully paid parental leave, • 25 days holiday + bonus days for company closure, • Subsidised lunches in office, • Gym membership, • Private medical insurance, • Subsidised coaching/training, • Work-from-home allowance to cover office equipment, desk, chair, monitor etc., • Fertility support benefits, including financial support for IVF, • Menstrual leave/congé menstruel, • Company off-sites twice per year Interview process: • Introductory interview – 45 mins, • Live coding task – 45 mins, • On-site interviews + meet the team – half day, • Final interview with CEO – 30 mins

We are a small London startup with the ambition to change education with ML-powered tutoring. Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone. What was once technologically impossible is now within our grasp. We’re looking for a Senior Full Stack Developer to join our growing development team. What you will do 🚀 • Design and implement a new high-scale system for millions of users., • Build convenient CI/CD processes and testing pipelines to support quick iterative development and system stability., • Work on ML model development with our team to build robust data pipelines and deploy ML models., • Analyse large corpora of data and build real-time recommendation systems., • Work with large amounts of data in different modalities (text, video, images, audio), • Work in a very cross-functional team, side by side with mobile developers, product managers, ML engineers, and designers. Essential skills 🙏 • Build high-load applications from scratch., • Deep knowledge of AWS., • Architecture planning and estimation skills (time, users, traffic, money, algorithmic complexity, cache, etc.)., • Architecture scalability and simplicity., • Research skills (new APIs, libraries, services, and their estimations)., • CI/CD automation pipelines., • Proficiency with Terraform and Docker., • SOLID, KISS principles, decomposition principles, and resolving monolith vs. microservices trade-offs., • Experience with SQL and NoSQL databases., • Best practices in building scalable mobile APIs (REST, HTTPS, etc.)., • Good principles of security management (secrets, protocols, etc.)., • Experience with some Python web frameworks (Django, Flask, FastAPI, etc.). Desirable Skills 👌 • Can speak, or learning to speak, more than one language, • Experience with real-time databases., • Experience with in-memory databases., • Experience with frontend frameworks., • Experience in developing educational products., • Knowledge-sharing experience (tech talks, articles, YouTube videos, etc.)., • Experience (even non-production) with different types of programming languages: interpreted, compiled, with garbage collection, manual memory management, reference counting memory management, etc. What we can offer ✨ • A real-deal startup adventure: you'll be hopping on a major project while it's still in the works!, • A crew all about people and products., • Work from our London office., • Freedom to suggest, implement, and test ideas., • Unlimited learning & development budget., • We also offer substantial relocation assistance to support your move, if required. Interview Process 🧪 • Intro call, • 3 technical interviews, which will all cover, • Problem Solving, • Architecture Design and Product Design, • Domain/Platform Knowledge After all interviews, we would like to invite you to work with us in our London office for 1-2 paid test days. If everything goes well, we will make an offer to the successful candidate.

Company Description Affluence Markets is a pioneering fintech company specializing in the convergence of financial markets and blockchain technology. Headquartered in London, we combine advanced data analytics, algorithmic insights, and decentralized solutions to deliver cutting-edge financial intelligence. Our mission is to empower institutions and investors with transparent, data-driven tools that bridge the gap between traditional finance and the blockchain economy. At Affluence Markets, we foster a culture of collaboration, continuous learning, and innovation. Our team consists of finance professionals, data scientists, and blockchain experts who share a passion for transforming how financial data is understood and utilized globally. Role Description Affluence Markets is seeking a Blockchain Analyst to join our growing team in London. This is a full-time, on-site role focused on analyzing blockchain data, identifying emerging trends, and generating actionable insights to inform strategic decisions. The ideal candidate will have a strong analytical background and a deep understanding of blockchain ecosystems, digital assets, and their practical integration with financial technology. You will work closely with internal teams across research, data analysis, and strategy to translate complex blockchain information into clear, impactful recommendations. This role offers an exciting opportunity to contribute to high-value projects at the forefront of fintech and blockchain innovation. Qualifications and Key Responsibilities • Analyze blockchain transactions and datasets to detect trends, anomalies, and opportunities., • Conduct in-depth research on cryptocurrencies, decentralized finance (DeFi), and evolving blockchain technologies., • Develop and present comprehensive reports and insights to guide product, market, and business strategies., • Collaborate with cross-functional teams to integrate blockchain insights into financial models and analytical frameworks., • Stay current on blockchain innovations, market dynamics, and regulatory developments. Qualifications • Demonstrated expertise in blockchain technology, including an understanding of blockchain protocols, smart contracts, and distributed ledgers., • Experience using blockchain analytics tools such as Chainalysis, Elliptic, Nansen, or equivalent platforms., • Strong familiarity with cryptocurrency markets, tokenomics, and digital asset performance indicators., • Exceptional analytical, quantitative, and problem-solving skills, with proficiency in data tools (e.g., Python, SQL)., • Knowledge of financial systems, fintech solutions, and market analysis., • Strong written and verbal communication skills to convey technical findings in a business context., • Excellent attention to detail and the ability to manage multiple priorities in a fast-paced environment., • Bachelor’s degree in Computer Science, Finance, Economics, Data Science, or related discipline preferred., • Prior experience in blockchain analysis, fintech research, or crypto data analytics is a significant plus.

Product Technician £40,000 - £45,000 | Swanley, Kent | Permanent An established product-based manufacturer is seeking a Product Development Technician to join their innovative engineering team. This forward-thinking company designs and develops cutting-edge safety and technology solutions for commercial and industrial applications. Their products are recognised for quality, performance, and reliability, and they’re committed to continuous improvement through research, testing, and creative engineering. Key Responsibilities • Carry out technical testing, evaluation, verification, and validation of electronic products and systems, • Develop and implement efficient test setups and procedures to enhance accuracy and reliability, • Support or lead product changes, updates, and documentation improvements, • Conduct benchmarking, troubleshooting, and analysis of new and existing technologies, • Support product trials on company and customer vehicles, • Assist in prototype construction, wiring, and rework of production items, • Provide technical support and training to internal teams and customers as required Essential skills and experience: • Experience working with electronics, ideally in the automotive or manufacturing sector, • Understanding of analogue and digital circuits, data signals, and 12/24V systems, • Competence in using test equipment such as oscilloscopes, multimeters, and signal generators, • Strong fault-finding and diagnostic abilities at circuit level, • Confident with Microsoft 365 and general technical documentation, • Excellent communication and teamwork skills, with a methodical and detail-oriented approach, • Flexible and adaptable, with the ability to work to deadlines and manage multiple tasks Package: • £40,000 - £45,000, • Swanley, Kent, • Monday – Friday, 37.5 hours per week, • Discretionary bonus, • Excellent culture and progression opportunities

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. Vision In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries. The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization. Solution As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed. By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Competitive salary plus participation in our Stock Option Plan, • UK Private Insurance, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Office perks: free breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

C++ • Python • OpenGL • Blender • Desktop Applications • Games Pipelines London preferred | Full-time | Visa sponsorship available Our Vision From blockbuster films and AAA games to immersive experiences, the demand for photoreal 3D content has never been higher - but creating photorealistic assets is slow, expensive, and manual with no current scalable solution available. At M-XR, our mission is to democratize the creation of high-quality 3D assets and empower brands, studios, and creators to build infinite photo-real 3D experiences. Our proprietary technology Marso allows anyone to capture real-world objects into production-ready photorealistic digital twins with unmatched material (PBR) accuracy - enabling the first real-world PBR capture pipeline that can operate anywhere. Marso is trusted by the most demanding studios in film and gaming. We see the future of 3D as AI-assisted, and we’re building the tech to make that happen. We are creating the world’s highest quality and most comprehensive 3D-PBR data-set and training the next generation of AI models to assist artist workflows. See the result yourself Passcode: scaneverything About the role ✨ We are looking for a Senior Software Engineer to own the 3D asset processing and rendering infrastructure in Marso Measure, our desktop material capture application for Windows. You'll work across the full product from 3D asset support, geometry processing, OpenGL rendering, Blender integration, backend connectivity, to Windows releases. At M-XR we developed Marso Measure as a way to capture real-world PBR material data alongside conventional photogrammetry from simple flash photography. Marso is now actively being used by leading studios, brands & museums to digitize previously unobtainable assets at scale. This gives us one of the most unique and physically accurate 3D datasets in the world and with this data we are developing frontier AI models that will enable new ways to create physically realistic content - at high fidelity and scale. You will be a central part of the core engineering team at a scaling start-up that is re-imagining how content is created for photo-real AAA games and real-time experiences. This role is perfect for a C++ and Python expert that is passionate about 3D graphics, real-time rendering, and VFX/game workflows and wants to work at a startup connecting frontier AI to 3D asset creation. Where you will have impact 🚀 As a Senior Software Engineer you will own the 3D rendering and asset processing systems that power our material estimation technology and ship Marso Measure as the industry standard for material capture in high-end photogrammetry workflows. You will: • Build and scale Marso Measure as a central member of the core engineering team, driving it from internal tool to production-ready desktop application., • Architect and maintain the geometry and rendering modules that underpin our material estimation technology across product and research teams., • Deliver high-performance systems from raw image processing through to OpenGL-based rendering, optimized for high-resolution assets and production workflows. What you will do You'll work as part of the core team establishing Marso Measure as the industry standard for material capture in photogrammetry. Core Ownership • Own the end-to-end 3D geometry and rendering modules and pipelines across product, • Develop and maintain high-performance C++ modules for 3D asset processing, OpenGL rendering, and mesh-camera visibility calculations, • Build Python services for pipeline orchestration, automation, and integration with ML models Cross-Functional Collaboration • Work closely with ML researchers to integrate material estimation models into production pipelines, • Collaborate with the Data Platform team to ensure processing outputs meet quality requirements for training data, • Collaborate across Data and ML and Product teams to deliver and integrate 3D format support, 3D transformations, and render systems. Production & Release • Own the Windows release cycle for core modules, ensuring stability, performance, and quality, • Establish best practices for graphics programming, testing, and performance optimization, • Manage build systems and packaging for desktop distribution What we are looking for Must have • 5+ years of professional C++ development with focus on graphics, rendering, or high-performance computing, • Strong Python skills with experience building production services and tooling, • 3D graphics expertise: OpenGL, shader programming, geometry processing, UV mapping, • Cross-platform build systems: CMake, package management, • Product delivery experience: shipping desktop applications or production tools to end users, • Systems thinking: understanding of performance optimization, memory management, and architectural trade-offs Strong Plus • Experience with Blender Python API or other DCC tool integration, • Knowledge of PBR rendering, material systems, and game engine workflows (Unity/Unreal), • Photogrammetry or computer vision pipeline experience, • Windows desktop development: Electron, IPC, installer creation, • Familiarity with 3D file formats (Alembic, USD, glTF, FBX), • Background in VFX, games, or virtual production workflows, • Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer • The chance to shape the future of 3D content creation in a fast-moving startup, • Direct contact & close relationships with some of the biggest game & film studios globally using M-XR's technology, • Work with passionate engineers, artists, and researchers at the frontier of graphics & AI, • Unique opportunities for professional growth, autonomy, and leadership, • Competitive salary and equity, • Flexible hybrid working, • Visa sponsorship for international candidates We look forward to your application! Best, M-XR Team

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

Software Engineer London / Hybrid | Perm Role £80,000 - £100,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

A well-funded, fast-growing AI startup based in Hammersmith are building cutting-edge products that will transform how teams work with intelligent technology are looking for a talented Full Stack Software Engineer to join a small, high-impact team. What you’ll do • Design, build, and ship features across their AI-powered product suite, • Work hands-on with Golang to develop scalable backend services, • Contribute to TypeScript/React components on the frontend, • Collaborate closely with product and research teams to deliver delightful user experiences, • Take ownership of code quality, testing, and performance What we’re looking for • Strong commercial experience in Golang, • Solid knowledge of TypeScript and React for frontend development, • Experience working across the full software lifecycle, • Self-driven, curious, and excited by technical challenges Bonus points • Experience with Kubernetes, containerisation, and cloud infrastructure, • Background in distributed systems, real-time processing, or AI-related products, • Exposure to startups or rapid product delivery environments On offer • Competitive salary + meaningful equity, • Hybrid flexibility: 3–4 days per week in office, • The chance to work with cutting-edge AI technologies and shape a product from the ground up, • Supportive and ambitious team with a passion for innovation

Founding ML Engineer / Founding Head of Engineering - London- £120,000 Seniority: First senior technical hire Focus: Reasoning engine design, data strategy, early engineering team building Role Overview You will serve as the company’s founding technical leader, architecting a reasoning and simulation engine that models how buildings are constructed. The role blends applied machine learning, data architecture, knowledge-graph design, and organizational leadership. You will help define the technical roadmap through seed stage and lay the foundation for a future Series A engineering organization. This position requires comfort with ambiguity, strong product intuition, and the ability to translate real-world construction workflows into computational systems. You’ll work directly with field teams to ensure models reflect practical construction realities. Key Responsibilities Technical • Build end-to-end data pipelines for, cost catalogues, and historical project information., • Select, train, and fine-tune models for sequencing and dependency prediction, • Develop multimodal embeddings that unify text, geometry, schedules, and metadata., • Implement continuous-learning loops using simulation outputs and field feedback., • Lead research on construction knowledge representation, ontology design, and explainable reasoning., • Collaborate with platform and simulation engineers to integrate models into wider platform, • Design multi-agent reasoning systems powered by a shared knowledge graph. Leadership • Operate as the founding technical leader prior to CTO hire; then report to the CTO., • Define hiring needs and recruit the initial engineering team., • Establish early engineering processes (sprints, documentation, compliance, road mapping)., • Convert customer and field insights into product and model requirements., • Represent the technical vision with early partners and construction stakeholders., • Contribute to a culture centred on collaboration with manual workers Requirements • 8+ years of experience deploying ML systems in production (start-up or fast-iteration environment strongly preferred)., • Experience leading teams or cross-functional AI/ML initiatives with PM-style responsibilities., • Advanced proficiency in Python and modern ML frameworks, • Strong background in data architecture and knowledge graphs., • Strong education from top university Bonus: • familiarity with 3D Vison model / construction data or something similar, • Track record of combining research with solid engineering practices., • Graduate training in AI, robotics, or computational design is a plus., • digital-twin work highly beneficial

Research Software Engineer - World-Class AI Health Tech Scaleup - London / Hybrid Our world-class medical AI client is a rapidly expanding innovator at the intersection of AI and life sciences, with significant funding. They build multi-modal foundation models that span medical imaging, clinical, genetic, and omics data, for high-precision inference in late-stage clinical drug trials. They are scaling fast and on a mission to revolutionise therapeutic development, with cutting-edge ML and data analytics. The commercial potential of this work is phenomenal, as is its scope for its impact on society. They are looking to hire several experienced Research Software Engineers to partner closely with the Research team (currently ~12), playing a pivotal role in developing and optimising their next-generation, AI-driven biomedical platforms. If successful, you'll collaborate with ML specialists, data scientists, clinicians, and product teams to build scalable solutions that leverage complex, multimodal datasets. Some of the things you’ll contribute to ML Platform & Tooling • Build Python tooling, libraries, APIs and SDKs to support model training, evaluation and deployment, • Develop experiment-tracking, model-versioning and reproducibility tools, • Build scalable data pipelines for large clinical and research datasets, • Develop distributed systems for i.e. training foundation models, • Partner with researchers to understand workflows and remove bottlenecks, • Prototype tools and iterate quickly based on research feedback, • Write clean and scalable, well-tested Python code, • Maintain high standards in code reviews, documentation and CI/CD, • Contribute to architectural and tooling decisions Key requirements • Degree in Computer Science, Engineering, Maths or similar STEM topic from a leading institution (minimum Bachelor's, Master's preferred), • Strong Python engineering experience, • Experience building APIs, SDKs or developer tooling, • Solid understanding of distributed systems, • Comfortable working with complex data structures, • Familiar with modern software engineering best practices, • Ability to translate research papers into working code Strongly desirable experience • Experience with large-scale ML systems (model training, serving, platforms), • Experience supporting or working inside ML research teams, • Familiarity with ML frameworks (PyTorch, TensorFlow etc), • Experience building pipelines for scientific or healthcare data, • Knowledge of cluster compute, distributed training and GPUs, • Understanding of healthcare data or regulated environments, • Open-source contributions, • Cloud experience (AWS/GCP/Azure) Compensation & Benefits • Excellent base salary, • Generous equity allocation from day one, • Comprehensive health & wellness package, • Hybrid working (1 day/week WFH), • Chance to work at the frontier of AI × life sciences with real world impact If you want to build world-class tooling for cutting-edge biomedical research and join a rapidly scaling team doing genuinely meaningful work, get in touch!

Junior Applied Scientist London — Onsite Our client are building context-aware agentic systems that augment data science, software, and product teams inside large enterprises. The systems reason over complex organisational data, take multi-step actions, and integrate deeply with existing business workflows. We are now expanding the Applied Science team and are looking for exceptional early-career researchers who want to work on cutting-edge ML in a fast-moving product environment. This role is ideal for candidates finishing (or recently completing) a PhD at a top university, with a research track record at leading ML/AI conferences. As this is a role within the Applied team, candidates must be confident in their ability to move research through to production. What You’ll Work On • Develop and iterate on core models for context-aware enterprise agents, including planning, retrieval, grounding, and multi-step decision pipelines., • Conduct research on any ML frontier relevant to agentic systems e.g., LLMs, multimodal models, structured reasoning, data generation, or video-text modelling., • Build robust training, evaluation, and benchmarking setups for new model variants and agent behaviours., • Prototype new agent capabilities and work closely with engineering teams to turn them into production-quality features., • Analyse failure modes of agents in real customer environments and design methods to improve reliability, grounding, and actionability., • Contribute to internal research papers, technical memos, and (where appropriate) external publications. Who You Are • Currently completing or recently completed a PhD in Physics, Mathematics, Machine Learning, Computer Science, or a related field from a top university., • Strong publication record at leading venues such as NeurIPS, ICML, ICLR, ACL, CVPR, ICCV, or EMNLP., • Solid understanding of modern ML architectures (transformers, diffusion, retrieval-augmented systems, reinforcement learning, etc.)., • Strong coding skills in Python and experience with at least one major ML framework (PyTorch, JAX, TensorFlow)., • Ability to bridge high-level research with practical implementation., • Curious, humble, and excited to work on hard technical problems with real enterprise impact. Nice to Have • Experience in agentic or autonomous decision-making systems (not required)., • Prior work on LLM alignment, grounding, tool use, or planning., • Experience with enterprise data environments, knowledge graphs, or retrieval systems., • Hands-on experience with large-scale training, distributed compute, or evaluation tooling. Why Join? • Work on a high-impact ML problem space that blends deep research with real product deployment., • Collaborate with a world-class team of scientists and engineers with prior experience at leading AI labs and tech companies., • Opportunity to publish, attend conferences, and lead impactful research directions early in your career., • Competitive salary, equity, and benefits., • Located in central London with a strong in-person research culture.

Software Engineer - B2B2C Health Scale-up | Up to £80,000 + Equity | London (Hybrid – 2 days in office) JavaScript | React | Node.js | TypeScript In Product is partnered with a profitable, growing health tech scale-up operating in the B2B2C space. The business is a trusted partner to leading organisations across the UK and Europe, while their direct-to-consumer products consistently receive top user reviews and are delivering measurable, life-changing behavioural outcomes. Following a period of stability and strong commercial performance, the company is now entering its next phase of growth — with a clear focus on deepening engagement with their core audience and continuing to build products grounded in research, evidence and real user needs. As a Software Engineer, you’ll join a small, experienced engineering team and work within a cross-functional squad alongside a Product Manager and Product Designer. This is a hands-on role where you’ll contribute across the stack, building clean, well-considered software that directly supports customer outcomes. You’ll work iteratively, shipping at pace while maintaining a high bar for quality, collaboration and maintainability. You won’t be operating in isolation - this is a supportive, well-structured environment with clear direction, strong product thinking and a shared sense of purpose. You’ll be a good fit if you… • Have commercial experience working as a Software Engineer in a product-led environment, • Are comfortable contributing across front-end and back-end JavaScript, • Enjoy working closely with Product and Design to understand problems before jumping to solutions, • Like building software that is user-facing, meaningful and measurable in its impact, • Are curious, thoughtful, and proactive about improving how things are built - without needing to be the loudest voice in the room In this role, you will… • Build and maintain features using React, Node.js and TypeScript, • Contribute to technical decisions with support from senior engineers and leaders, • Work collaboratively within a squad to turn research and insight into working software, • Improve existing code and patterns as the product and platform evolve, • Learn from others, share knowledge, and grow alongside a strong team What’s on offer • Up to £80,000 salary plus meaningful equity, • A financially stable business with a strong runway and clear growth plans, • Hybrid working: 2 days a week in the London office to support collaboration, • A culture that values learning, knowledge-sharing and sustainable pace, • The chance to work on products that genuinely improve health outcomes and support long-term behavioural change

Senior Mapping Engineer (Large-Scale HD Mapping) — First Key Hire Circa £80k+, London based Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines., • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models., • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs., • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation., • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance., • Define KPIs and validation frameworks for map accuracy, completeness, and consistency., • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems., • Set best practices and technical standards to support future team growth. Experience required • MSc/PhD in Robotics, Computer Vision, Computer Science, or related field., • 4–5+ years hands-on mapping experience in autonomous systems or robotics., • Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines)., • Strong background in vision-based mapping / visual SLAM and multi-sensor fusion., • Proficiency in C++ with strong experience in ROS2., • Solid grounding in estimation, optimization, geometry, kinematics, and TF2. Why join You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

We're building the infrastructure that makes autonomous AI safe for enterprise deployment. Not governance theatre. Not compliance checkboxes. Actual technical systems that can monitor, quantify, and govern AI agents operating with autonomy in production environments. If you've been following the trajectory from static models to agentic systems—and the corresponding explosion in risk surface area—you know why this matters now. About governr governr is the AI risk platform for regulated enterprises. We provide complete AI visibility, real-time risk eval and quantification, and audit-ready compliance docs for enterprises deploying agentic AI. We've built the industry's most comprehensive AI risk assessment framework: We're currently in active discussions with tier-1 financial institutions and have secured design partners with leading firms navigating the shift from analytical AI to agentic systems. The market timing is critical: enterprises are deploying agents at scale, regulators are demanding governance frameworks, and existing Third-Party Risk Management (TPRM) platforms have near-zero AI-risk depth. We have an estimated 18-24 month competitive window before large incumbents build comparable capabilities to stay relevant. The Role As an Agentic Developer at governr, you'll build the core systems that monitor, analyse, and govern autonomous AI agents in production. This isn't traditional software engineering with well-worn patterns. You're designing architectures for problems that didn't exist 18 months ago. You'll be responsible for: • Agent Monitoring Infrastructure: Build real-time systems that track agent behaviour across risk factors including agent-to-agent interactions, privilege escalation attempts, emergent capability detection, and behavioural drift from baseline parameters, • Risk Assessment Engine: Design algorithms that quantify AI risk in financial terms (£X exposure), map behaviours to regulatory requirements, and detect cascade failures before they propagate through multi-agent systems, • Protocol Integration: Implement monitoring for agent communication protocols (Model Context Protocol, Agent2Agent, Agent Connect Protocol) as they mature, ensuring authenticated and logged inter-agent communications, • Anomaly Detection: Develop ML systems that identify when agents exhibit unexpected strategies, attempt unauthorized actions, or drift from intended behaviour—catching issues before regulators do, • Evidence Generation Systems: Build architectures that automatically capture audit trails, decision provenance, and compliance evidence without impacting agent performance Core Requirements (Non-negotiable) Technical Depth: • 3 - 12+ years building production systems at scale • Expert-level proficiency in Python, Rust, or Go (you write systems that can't fail) • Deep understanding of distributed systems, real-time data processing, and observability architectures • Production ML/AI experience: You've deployed models, debugged their failures, and built monitoring around them • System design mastery: You can architect for reliability, scalability, and auditability simultaneously Domain Knowledge: • Understanding of agent architectures: autonomous decision-making, goal-directed behaviour, tool use, memory systems • Familiarity with AI safety concepts: alignment, interpretability, robustness, adversarial examples • Experience with monitoring/observability: instrumentation, logging, tracing, alerting in complex systems Working Style: • You ship to production regularly and own what you deploy • You write documentation that others can actually use • You thrive in ambiguity and define requirements through first principles • You communicate technical concepts clearly to non-technical stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups, • Production experience with agents: LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background: Financial services, healthcare, or other domains with compliance requirements, • Security/threat modelling expertise: Understanding of adversarial AI, prompt injection, or system security • Real-time systems experience: Trading systems, fraud detection, or other low-latency critical infrastructure, • Open source contributions in relevant domains (AI frameworks, monitoring tools, security infrastructure) Bonus Points (Nice to Have) • Understanding of regulatory frameworks (EU AI Act, California AI, GDPR, DORA, FCA, OCC, FINRA guidance), • Experience with compliance/audit systems or GRC platforms, • Background in formal verification or theorem proving, • DevSecOps or infrastructure-as-code expertise, • Track record of technical leadership or architecture ownership Who Thrives Here You read AI safety papers for fun. You've built production systems where failure has real consequences. You're excited by the idea of being the first person to solve a category of problems that didn't exist last year. You care about getting it right, not just getting it done. When someone asks "can we monitor that?" your first instinct is to figure out how, not to explain why it's hard. You're comfortable with the early-stage start-up reality: fewer guardrails, more ownership, rapid iteration, and direct impact on company trajectory. You want to define the product, not just implement specifications. You're intellectually curious about the intersection of AI capabilities and regulatory constraints. You find it genuinely interesting that the EU AI Act requires "human oversight" but doesn't define what that means for autonomous agents. You're mission-aligned: You believe AI agents will transform how organizations operate, but only if we solve the governance problem. You want to be the person who solves it. Why Now / Why governr Market Timing: Autonomous AI is moving from research to production. McKinsey estimates $2.6T-$4.4T annual value from agentic AI. 80% of organizations report risky agent behaviours. Regulators are demanding guardrail frameworks. The infrastructure layer doesn't exist yet. We're building it. Technical Challenge: You'll solve problems that have no Stack Overflow answers. Agent-to-agent security. Cascade failure prevention across multi-agent systems. Emergent capability detection. Financial quantification of non-deterministic systems. This is legitimately hard, novel work. Category Leadership: We have 18-24 months before large incumbents build comparable depth. First-mover advantage in category creation is real. You'll help define what "AI governance" means. Team Quality: Co-founders with deep financial services + AI expertise. Advisors including Dr. Ayman Hindy, Marcel Cassard, and leading figures in AI, high frequency risk management and financial regulation. Early team of sharp, mission-driven builders. Learning Curve: You'll gain expertise in cutting-edge AI architectures, enterprise software, regulatory frameworks, and category creation simultaneously. This is one of those roles you look back on as career-defining. Impact Leverage: Every system you build enables safe AI adoption for enterprises managing billions in assets. Your code directly influences whether organizations can deploy autonomous agents responsibly. What We Offer Compensation: very competitive salary + equity in a fast-growing company with clear path to Series A Team: Reporting to Co-Founder Chief Product Officer, working directly with founders on product direction Work Environment: London, New York - focus on outcomes over presence Growth: Ownership of major product areas from day one. Technical leadership opportunities as team scales. Direct exposure to customers, investors, and strategic decisions. Resources: Modern tech stack, freedom to choose tools, Mission: Build the infrastructure that makes autonomous AI safe for society. Not many teams can say their technical work has direct regulatory impact. How to Apply If you're excited about building unprecedented monitoring systems for autonomous agents, working at the intersection of AI safety and enterprise software, and defining an emerging category—let's talk. Send your resume, GitHub/portfolio, and a brief note on what excites you about this problem space to and . Include: • Links to relevant work (code, papers, projects, or systems you've built) • What you're currently reading/learning in the AI agent space • One technical challenge you'd be excited to solve at governr We review applications on a rolling basis and move quickly for strong candidates. First round is a technical conversation with the Co-Founder, not whiteboard hazing. We're evaluating you as much as you're evaluating us. Come with questions about our technical approach, roadmap, or market positioning. The best conversations are mutual discovery. governr is an equal opportunity employer. We believe diverse teams build better products and welcome applications from candidates of all backgrounds. Ready to build the governance layer for autonomous AI? We're ready for you.

Graduate HVAC Research & Design Engineer Are you a recent engineering graduate with an interest in heat pump technology, sustainability, and innovative HVAC solutions? This is an exciting opportunity to kick-start your career with a growing HVAC manufacturer, where you’ll be supported, trained, and given a genuine pathway into senior engineering or management roles. In this role, you'll work at the intersection of product design and manufacturing, helping turn ideas into real-world, high-performance HVAC products. You’ll gain hands-on experience, collaborate with experienced engineers, and play a key part in developing the next generation of Air Source Heat Pump systems. What You’ll Be Doing • Assist in the design and development of Air Source Heat Pump systems and components, • Convert engineering concepts into manufacturable drawings and documentation, • Support production teams with technical queries and process improvements, • Take part in testing, validation, and prototype development, • Work with R&D, quality, and project engineering to deliver innovative, sustainable solutions, • Contribute to continuous improvement activities within design and manufacturing What We’re Looking For • A degree in Mechanical Engineering, Manufacturing Engineering, Building Services Engineering or a related discipline, • An interest in HVAC, refrigeration, renewable energy, or heat pump technology, • Familiarity with CAD software (SolidWorks preferred, training provided), • A proactive mindset with strong communication and problem-solving skills, • Enthusiasm to learn, grow, and take on increasing responsibility What’s on Offer • Total salary £30,000 - £40,000, • Base salary: £28,000–£35,000, • 10-20% yearly bonus, • 8% pension contribution, • 31 days holiday, • Full training and mentoring from experienced HVAC engineers, • Genuine long-term progression into roles such as:, • Design Engineer, • R&D Engineer, • Product Manager, • Production / Manufacturing Engineer, • Project Engineer Ready to begin your career? Apply today for an informal, confidential chat — we’d love to hear from you.

Quantitative Developer – Fixed Income (Risk) A leading global quantitative investment firm is seeking a Quantitative Developer to join its Fixed Income Risk function. The team builds the core risk and PnL infrastructure that supports multi-asset systematic and discretionary trading. This role sits at the intersection of engineering, quantitative research, and trading—ideal for someone who enjoys solving complex technical problems in a fast-paced front-office environment. Responsibilities • Build and enhance software solutions that power core risk and PnL systems., • Work closely with Fixed Income Risk Managers, Traders, and Quants to understand requirements and deliver high-impact tools., • Develop analytics and reporting frameworks to compute, aggregate, and visualize key risk measures., • Translate product-specific and trading requirements into scalable, automated software workflows., • Build systems to process and analyse large datasets across bonds, swaps, futures, options, and other FI derivatives., • Ensure robustness, transparency, and consistency across the firm’s Fixed Income risk infrastructure. What We’re Looking For • 5+ years of professional software development experience (strong Python preferred)., • Solid understanding of Fixed Income products—bonds, swaps, futures, options—and related risk measures., • Experience building or extending risk systems in a front-office or middle-office environment., • Ability to translate trading/risk requirements into clean technical specifications., • Familiarity with databases, APIs, microservices, and large-scale data processing., • Strong communication skills, able to partner effectively with both technical and trading teams., • Exposure to cloud environments and modern data engineering practices is a plus., • If you’re interested in contributing to a high-performance risk platform at a top-tier quantitative trading firm, feel free to reach out for more details.

Purpose of the role Manage all aspect of compliance, including market access and labelling, quality assurance across RM and FG, application of sustainability protocols within the accessories division and across product categories. Oversee product industrialisation timeline and support the Italian team with issue resolution Responsibilities Vendor compliance • Aspects of Vendor onboarding, • Implementation and monitoring of PP Vendor Manual policies, • Info gathering on subcontractors, audits, certifications etc, • Establish and implement the RM testing protocols for each season/product category, across physical, mechanical and chemical., • Communicate with internal and external stakeholders to implement. Problem solving, • Sign off of testing results., • Owner of the testing and compliance process for sunglasses, including the assembly of tech packs, • Maintaining archive and database information of product due diligence, • Define disclaimers/testing/ wear trial need for finished goods across all categories, • Research and implementation of product compliance needs for commercialisation of the collection worldwide (to be reflected in swing tickets, testing protocols etc), • Responsible for the quality assurance and compliance of the jewellery category across different materials, • Other compliance matters that arise ad hoc with the development of the brand, • Budget owner for the above activities, • Owner of the industrialisation of Raw Materials: Sign off and distribute to the relevant stakeholder masters and tech sheets for raw materials. Communicate with tanneries and vendors on protocols and needs, • Coordinate the work of our Raw Materials R&D partners for all industrialisation/production related tasks., • With the Director of the division, issue the industrialisation calendar for all categories of products from initial technical review to delivery of production, • Own the industrialisation process of Sunglasses and Jewellery from hand over from development to delivery of finished product to the warehouse. Trouble shooting of any quality issue that should arise during the production process., • Support where required the technical team in Italy in the industrialisation process of Leathergoods, belts and shoes., • Budget owner for the above activities, • On the base of the division calendar, coordinate the different steps and approvals of finished product for a timely and qualitative delivery. Maintain trackers and team updates sheets, • Responsible for training our QC inspection partners on QC parameters for Jewellery ad sunglasses, for producing the needed documentation in support of training and providing ongoing support., • Returns process point of contact in the division (in connection with structure at the warehouse). Sign off outcome from returns inspections and provide support when needed, • Scheduling and coordination of the training of our warehouse partners for returns, • Vendors CSR (audits, manual submission etc), • In line with the company strategy, strive to elevate our work on leathers with the implementation of more sustainable sourcing and impact projects, • Collection of sustainability info across tanneries and vendors, • Coordinate the work of “Fairly Made”, the platform we use for supply chain mapping Qualifications, Skills, Experience Required • Sensibility for product and time spent working in a product role in a luxury environment., • Firsthand experience of product quality, • Experience of working in a Raw Materials coordination position, • Italian language spoken and written is essential, • Experience of product performance and testing in a luxury environment, • Curious mindset: this position implies constant learning, having to keep updated and investigation. Ability to analyse in depth and finding solution is key, • Persuasion and relational skill – this position has many stakeholders. Ability to build relations with them is key, • Organisational skills are key as this position coordinated different work streams that need to converge and adhere to a tight timeline

Staff Golang Engineer (Contract – Pharma / Life Sciences) - up to £750 per day, outside IR35 Location: 3 days a week in the office in London, 2 days WFH Contract Type: 6 months (with potential to extend) Day Rate: up to £750 per day, outside IR35 About the Role Our client within the Life Sciences industry is seeking 3 x experienced Staff Golang Engineer to join our engineering team on a contract basis. You’ll play a key role in building databases from scratch and creating platforms like Kafka. Being hands-on within a team delivering projects and solving tough tech problems. What You’ll Do • Design and implement robust, scalable microservices and APIs in Go, • Lead the technical design of distributed data systems supporting research and clinical workflows, • Collaborate with data scientists, bioinformaticians, and product teams to translate scientific needs into resilient software solutions, • Optimize data processing pipelines for performance, reliability, and compliance, • Drive adoption of best practices for security, observability, and data governance, • Mentor engineers and contribute to architectural decisions across teams What We’re Looking For • 7+ years of software engineering experience, including extensive experience with Golang, • Deep understanding of distributed systems, data-intensive applications, and microservices architectures, • Experience with cloud environments (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker), • Solid background in API design, data streaming, and event-driven architectures (Kafka, NATS, RabbitMQ), • Proven leadership in technical design and mentoring, • Strong collaboration and communication skills in cross-functional scientific environments Why Join Us • Work with cutting-edge data and infrastructure challenges in the life sciences domain, • Chance to work with a high-performing, mission-driven engineering team, • Competitive day rate and opportunities for long-term collaboration

Plasma is a purpose-built blockchain for stablecoin payments. Engineered from the ground up to address the unique needs of stablecoins, Plasma provides a scalable, efficient, and secure foundation for the next generation of money movement. We believe stablecoins can transform global finance and improve financial access worldwide. To reach the next level of adoption, dedicated and purpose-built infrastructure is required. We are looking for a Research Engineer to join the team. This is a high-impact role which will involve creating initiatives to develop our chain from the specific lens of optimising Plasma One, our stablecoin-focused neobank. What You Will Do • Turn ill-defined problems into executable plans: clarify the problem, identify constraints, define success metrics, and propose a small number of viable approaches., • Evaluate build vs buy decisions for cryptography and privacy, e.g. confidentiality mechanisms and confidential transaction designs: assess existing solutions, identify gaps, and recommend whether to integrate, adapt, or design anew., • Produce high-quality design specifications that engineers can implement: threat models, protocol sketches, interface boundaries, performance assumptions, and roll-out considerations., • Build proofs-of-concept where useful to validate feasibility, performance, and integration risk (coding is important, but not the primary focus of the role)., • Research and recommend improvements across key protocol concerns, including (but not limited to):, • Zero-knowledge and applied cryptography, • Block propagation and networking, • Consensus and finality trade-offs, • Latency reduction and performance tuning, • Communicate trade-offs clearly across functions (Product, Research, Engineering, Platform): help align “where we want to go” with “how we get there” and what is realistically deliverable., • Operate with focus and leverage: work as part of a small research group (2–3 people maximum), prioritising the highest-impact investigations and unblocking others through clear guidance., • Maintain high standards of rigour: produce work that stands up to scrutiny (security assumptions, adversarial thinking, and correctness), while staying grounded in what’s practical to ship. Who You Are • A researcher at heart who can also build: you can take an idea from “promising on paper” to “credible in practice”., • Comfortable operating in ambiguity: you enjoy shaping ill-defined problems into clear questions, options, and decisions., • Pragmatic and product-aware: you balance what’s possible with what’s worthwhile, and you know when to integrate existing solutions vs building something novel., • Cryptography- and protocol-minded: you think in terms of trade-offs, adversaries, performance constraints, and real-world deployment., • Clear communicator: you can explain complex technical choices simply, and produce crisp artefacts (design specs, evaluations) that engineers can execute., • Opinionated but evidence-led: you can propose a direction, defend it, and change your mind quickly when the data says so., • Comfortable working closely with leadership and across functions, reporting into our CTO and collaborating with our Product and Engineering teams. Nice to Have • Strong publication track record, particularly in top-tier security/crypto venues (e.g. IEEE S&P, CCS, NDSS, USENIX Security, Financial Cryptography) or equivalent demonstrated impact., • Experience with real-world ZK systems (proving systems, circuit design trade-offs, verifier constraints, performance/security considerations)., • Prior work on protocol performance: block propagation, mempool dynamics, networking under adversarial conditions, latency/finality trade-offs., • Applied cryptography experience beyond papers: taking ideas from research into prototype implementations and production-minded designs., • Comfortable forming and defending technical opinions: you can propose a direction, explain why, and update your view quickly when evidence changes., • Familiarity with modern blockchain protocol design, especially areas adjacent to privacy, throughput, and latency (rather than unrelated academic optimisation problems). Team Culture At Plasma, you’ll be joining a team that’s redefining how the world interacts with money. We’re building the best team in the world - people who are relentless about their craft and expect the same from you. This is not the place for half measures; it’s where you’ll do the hardest, most meaningful work of your career alongside those who demand excellence of themselves and everyone around them. We work with trust, clarity, and ambition. Everyone owns their craft and contributes beyond it, moving fast and backing each other to deliver. Our culture is built for those who thrive on challenge and want to leave a mark → because here, good isn’t good enough. Salary and Benefits At Plasma, we provide each team member with the tools they need to succeed. Benefits for full-time employees include: • An above market salary with token compensation, • Comprehensive insurance coverage with premiums for you and your family covered by Plasma, • Monthly wellness stipends, • Visa sponsorships and re-location benefits, • Offices located in the heart of London, including access to a gym and daily lunches Data Protection & Privacy We are committed to protecting the privacy and security of your personal data. Any personal information you provide during the recruitment process will be processed in accordance with the General Data Protection Regulation (GDPR) and applicable local data protection laws.

Senior Software Engineer (Full-stack) - Permanent | On-Site | London Join a rapidly scaling US-backed startup at a pivotal moment. With significant funding secured and strong momentum, they are establishing their UK presence and offering exceptional equity opportunities for early team members. As a Senior Software Engineer, you'll work across our Python and TypeScript stack, contributing wherever the team needs you most. What You'll Be Doing: • Develop and maintain FastAPI (Python) and Next.js (TypeScript) applications., • Own features end-to-end - from user interface through to infrastructure and internal tooling., • Navigate and contribute to diverse codebases across the platform., • Shape product direction and architectural decisions., • Work alongside engineers and AI specialists in a cross-functional environment., • Grow your expertise while sharing knowledge with the team. What We're Looking For: • Growth mindset - You're intentional about self-improvement and continuous learning, • Deep expertise - You've mastered something technical; the specific domain matters less than the depth of skill, • Comfort with ambiguity - You thrive on open-ended challenges and unstructured problems, • Code fluency - You can dive into complex systems and make impactful contributions quickly, • Technical foundation - Strong skills in Python, TypeScript, or both (or genuine enthusiasm to learn), • Collaboration style - You work well with others but are equally effective independently Nice to Have: • Experience with modern frontend frameworks (React, etc), • Background in API development or distributed systems For more information, please apply! *Please note that this role will not be able to provide sponsorship support. Research shows that candidates from underrepresented groups often wait until they meet nearly all requirements before applying, while others apply when meeting just 50-60%. If this role excites you and you meet many—but not all—of these criteria, we still want to hear from you. We actively encourage applications from underrepresented talent and are committed to supporting accessibility needs throughout our hiring process.

Senior Software Engineer | Start-up | Cybersecurity | London About the Company Hyre AI is partnering with a fast-growing, well-funded cybersecurity company on a mission to solve one of the biggest challenges on the modern internet: proving who’s human in a world dominated by bots, scripts, and AI impersonators. Their technology protects some of the most trusted names in financial services and beyond, and they’ve just raised a multi-million seed round to accelerate growth. Now they’re hiring a Senior Software Engineer to join a small, exceptional team building the future of online trust. About the Role As a Senior Software Engineer, you’ll be at the core of how our client build and run their platform; you won’t just be building features - you’ll be laying the technical foundation that allows them to verify humanity at internet scale. • You’ll design and scale high-throughput APIs and microservices that power AI-driven fraud and bot detection engines., • You’ll work on systems where latency and reliability are critical., • You’ll work directly with founders, product, and research teams to deeply understand emerging threats, and build systems that turn detection insights into operational reality., • You’ll be encouraged to experiment, challenge convention, and bring ideas that raise the bar. Required Skills • 3-5 Years of professional experience in software engineering., • Experience with TypeScript and/or Go is beneficial (but not mandatory), • Strong foundation in Kubernetes and CI/CD pipelines., • A resourceful, first-principles mindset; someone who thrives in ambiguity, • Ownership, curiosity, and a commitment to building things that last, • High-energy, thoughtful problem-solving, and a low-ego approach to collaboration, • Experience in an early-stage start-up or scaling environment would be a huge bonus Pay range and compensation package • Competitive salary: £70,000 - £80,000, • Stock options – share in the company’s growth, • Employer-matched pension Why Join this business If you want to work on a deeply meaningful problem, build with exceptionally talented engineers, and play a pivotal role in scaling a product that sits at the intersection of cybersecurity, AI, and internet infrastructure, this is the kind of opportunity that appears once in a career!

Senior AI Engineers - Generative AI & Information Retrieval 💼 Hybrid London (1–2 days/week onsite) 💰 Up to £130k + Equity + Benefits We’re hiring three Senior AI Engineers to join two rapidly growing teams within a high-growth fintech/data intelligence scaleup. You’ll work on cutting-edge Generative AI, LLMs, NLP, and Information Retrieval, building production systems used by global customers. You’ll join a highly talented AI organisation (reporting into the Senior ML Manager) and work closely with product, backend, and frontend teams to ship impactful, user-facing AI features. 📌 Open Senior Roles (3 Total) 1. Senior GenAI Engineer - Client Features Build the next generation of customer-facing GenAI features. You will: • Build LLM-powered workflows, chat systems, and assistant-style features., • Develop simple, reliable systems that solve real customer problems (no over-engineering)., • Work closely with product and UX to shape user-facing AI experiences., • Strong hands-on experience with GenAI, LLMs, agentic frameworks, or chat/workflow apps., • Excellent Python and software engineering fundamentals., • Solid cloud experience (AWS preferred, GCP/Azure fine)., • Product-minded approach and ability to work cross-functionally. 2. Senior AI Engineer - Information Retrieval (Engineering-Focused) Own engineering for large-scale Information Retrieval/NLP pipelines. You will: • Build and optimise retrieval, ranking, and document processing systems., • Implement transformers, embeddings, search pipelines and evaluation frameworks., • Strong ML engineering background., • Experience in document processing, NLP, embeddings, transformers., • Python expertise, solid engineering foundations., • Experience shipping IR/ML systems in production environments. 3. Senior AI Engineer - Information Retrieval (Research-Focused) Drive applied research within a production-focused Information Retrieval team. You will: • Research and improve retrieval and NLP models., • Design experiments, run evaluations, and iterate on modelling approaches., • Strong applied research experience (PhD or academic work a plus)., • Deep background in retrieval, NLP, LLM evaluation, document understanding., • Python & cloud experience and ability to contribute to production code when needed. 📌 What We’re Looking For Across All Senior Roles Technical Requirements • Strong Python skills, • Cloud experience (AWS preferred), • Experience deploying ML/LLM/IR models, • Background in at least one of:, • LLMs & GenAI, • Information Retrieval, • NLP / Document Processing, • Transformer-based architectures, • Collaborative and pragmatic, • Comfortable in high-growth, product-driven teams, • Able to work fast without over-engineering, • Passionate about modern AI and problem-solving These positions do not provide visa sponsorship and require existing right to work in the UK. Please note: Due to the high volume of applications we are not always able to respond to all applicants, if you have not had a response within 7 days of your application it is likely it has been unsuccessful. If your skillset matched, please apply within.

Join us at Entrust At Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely. Get to Know Us Headquartered in Minnesota, Entrust is an industry leader in identity-centric security solutions, serving over 150 countries with cutting-edge, scalable technologies. But our secret weapon? Our people. It’s the curiosity, dedication, and innovation that drive our success and help us anticipate the future. About the Team: You'll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with the assurance they need to operate securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview: We are looking for a Senior Applied Scientist to design and train cutting-edge machine learning solutions related to digital identities. Join our team and work on challenging problems in deepfake detection, bias mitigation, document understanding, anomaly detection and/or efficient ML. What you will be doing: • Push the frontier of research in areas such as deepfake detection, bias mitigation, fraud/anomaly detection, face matching, document understanding, and efficient on-device ML., • Publish research results in national and international conferences and scientific journals. Work with product and engineering to improve our world-class identity-focused products. Representative work: • Implement bias-mitigation strategies to build fair face-matching and deepfake-detection models., • Train and benchmark large-scale vision-language models for document extraction., • Train a multi-modal document understanding model from scratch using synthetic data. Optimise LoRA adapter latency in PEFT/Triton., • Profile, debug and improve model training speed on multiple GPUs., • Create a large-scale dataset for deepfake detection., • Experiment with multimodal models to detect fraud. You may be a good fit if you: • Have strong experience in machine learning and computer vision., • Have a strong record of successfully delivering high-performance ML-driven products., • Have a deep understanding of machine learning theory., • Have strong coding skills in Python and PyTorch., • Care about building fair and cutting-edge machine learning products. Strong candidates may also have: • Technical experience in one or more of the following areas: face matching, bias mitigation, anomaly detection, document understanding or on-device ML., • Published at top-level machine learning conferences. Experience optimising (distributed) training code. Where you will be: This role is based in our London, UK office and follows a hybrid model, requiring in-office presence three days per week. Benefits UK • 25 days annual leave plus a day off for your Birthday., • Two paid volunteering days per year.*, • Bupa Private Medical and Dental Insurance*, • Pension with The People’s Pension (employer contribution 4% of base salary)*, • Generous paid parental leave, • Life enrichment allowance of up to £80 per month to use for services including gym, yoga, fitness classes, massages, childcare, and therapy, • Dedicated learning opportunities including using tools like Linkedin Learning with availability to use for learning resources such as books, coaches, conferences, courses, podcasts, and more, • Our open and transparent culture is reflected in our “Better Together” motto and we bring this to life by meeting once a week for our global weekly roundup (OnThursday); holding quarterly team socials, and other company-wide social events, • Expense up to £300 (or local equivalent) to purchase workstation setup equipment, • The opportunity to become a member of Entrust’s resource groups in order to learn different skills in our belonging groups Ready to Make an Impact? If youʼre excited by the prospect of working on cutting-edge machine learning for problems that matter, Entrust is the place for you. Join us in making a difference. Letʼs build a more secure world—together. Apply today! NO AGENCIES, NO RELOCATION #LI-GR1 #ENT123