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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.

• Do you have a PhD in a STEM subject?, • Do you love the technical detail?, • Does learning new stuff interest you?, • Would you thrive in a collaborative environment?, • Are you an innovator? What is the Systems Engineering LEAP programme?: The Systems Engineering LEAP Programme is designed for great people who have transferable skills, delivering opportunities to start a career in Systems Engineering with a leading UK Defence company. • 2 year fully paid Systems Engineering development programme., • Giving you a great career in Systems Engineering., • Structured applied training and development journey., • Employment with a leading Defence company working on the latest programmes., • Mentoring and peer-to-peer community support throughout., • Future permanent employment. What you'll do as a Systems Engineer: Systems Engineers work across a range of activities that help pull together all the necessary engineering and technology strands into a complex system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. We are searching for the next generation of Systems Engineers who come from a variety of backgrounds and skillsets. Based on your skills and foundation knowledge, we will provide suitable training and skills enhancement to transform you into a Systems Engineer. Typical work you might be involved in includes conducting early-stage research, engaging with stakeholders, transforming stakeholder needs into specifications, creating system architectures/designs, analysing designs, supporting integration/build, writing test plans, and supporting installation and trials. What we need from you: You will have a PhD, EngD or other relevant research experience within a Science, Technology, Engineering and Maths subject. We are not expecting you to have deep theoretical knowledge of the technologies; what we are looking for are scientists and engineers with a solid technical foundation that we can build upon through training, team working, and mentoring. Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our devoted technical career path. You will need to be: • Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering., • Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be., • Analytical and Methodical - Together these traits enable Systems Engineers to create robust and scalable systems, ensuring they always meet the user needs., • Curious - Systems Engineers need to understand the "why", so being naturally curious will put you well on your way to being great at this new career already! Apply now to find out more about the LEAP Programme and embark on an exciting new career in Systems Engineering!

Are you: • Transitioning out of the Armed Forces? What is the Systems Engineering LEAP programme?: The Systems Engineering LEAP Programme is designed for great people who have transferable skills, delivering opportunities to start a career in Systems Engineering with a leading UK Defence company. • 18-month year fully paid Systems Engineering development programme., • Giving you a great career in Systems Engineering., • Structured applied training and development journey., • Employment with a leading Defence company working on the latest programmes., • Mentoring and peer to peer community support throughout., • Future permanent employment. What you'll do as a Systems Engineer: Systems Engineers work across a range of activities that help pull together all the necessary engineering and technology strands into a complex system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. We are searching for the next generation of Systems Engineers who come from a variety of backgrounds and skillsets. Based on your skills and foundation knowledge, we will provide suitable training and skills enhancement to transform you into a Systems Engineer. Typical work you might be involved in includes conducting early-stage research, engaging with stakeholders, transforming stakeholder needs into specifications, creating system architectures/designs, analysing designs, supporting integration/build, writing test plans, and supporting installation and trials. What we need from you: We are not expecting you to have deep theoretical knowledge of the technologies; what we are looking for is people with an engineering background that we can build upon through training, team working and mentoring. Personal attributes and values are just as important to us as technical ability, so we are looking for engineers with a willingness to learn, progress and develop through our devoted technical career path. You will need to be: • Committed - We're seeking people who are committed to personal development and a new career in Systems Engineering., • Keen to Develop - No matter how good our development programme is, it will require pro-active learning within your role; the faster you learn, the more accelerated your development will be., • Analytical and Methodical - Together these traits enable Systems Engineers to create robust and scalable systems, ensuring they always meet the user needs., • Curious - Systems Engineers need to understand the "why", so being naturally curious will put you well on your way to being great at this new career already!, • Open minded - You'll be working with multi-disciplinary and diverse teams of people, so a positive and open mind is essential. All successful applicants must be eligible for full security clearance and access to UK-caveated and ITAR controlled information. Apply now to find out more about the LEAP Programme and embark on an exciting new career in Systems Engineering!

Job Title: Project Engineer (C&I) Location: Hemel Hempstead (Hybrid 2-3 days in the office) Join Our Team at BPA: Officially Where it’s a Great Place to Work! At BPA, we’re proud to be jointly owned by BP and Shell - two of the world’s leading oil majors - which gives us the strength and stability of industry giants. Yet, with a close-knit team of around 180 professionals across the UK, we maintain a genuinely friendly, supportive, and collaborative environment. Our size means every individual is valued, and we work together as one team -sharing knowledge, supporting each other, and celebrating our successes collectively. This whole-team focus allows us to deliver industry-leading hydrocarbon transport and storage solutions, while providing the personal touch that only a united team can offer! Our People: What sets BPA apart is our people. We are committed to the development and growth of everyone in our team. Our leadership are invested in ongoing training, professional qualifications, and mentoring to help staff reach their full potential. For example, we offer regular technical training, support for gaining industry-recognised certifications, and opportunities to take on new responsibilities or lead projects. By encouraging continuous learning and providing clear pathways for progression, we ensure that everyone can enjoy a rewarding career and, together, deliver outstanding technical advice and services to our clients. What's the Job About? As a Project Engineer, you’ll play a key role in helping steer engineering projects from start to finish. From planning and design to getting things built on-site, you’ll make sure everything runs smoothly, stays on budget, and hits all the right safety and quality notes. You’ll be responsible for project planning, engineering design, procurement, and on-site construction support for fuel pipeline infrastructure. What You'll Be Doing: • Project Planning & Management: Oversee projects from approval to handover. Develop and maintain detailed project plans and schedules. Monitor budgets and staff-hours to ensure targets are met. Ensure delivery meets company standards and client expectations., • Design: Develop engineering solutions and technical drawings to required standards. Lead design reviews and manage associated risks. Ensure compliance with company, client, national, and international standards., • Procurement: Prepare and evaluate contract documentation. Recommend suppliers and approve payments. Track project spend and manage cost efficiency., • Construction & Commissioning: Manage on-site construction activities and contracts. Promote and ensure high standards of health and safety. Support commissioning planning and execution. What You’ll Need: • Degree in Electrical, Instrumentation, or Controls Engineering, • Experience in designing and developing new control systems, testing and modifying existing systems, analysing data and presenting finding in written reports., • Experience in project delivery, with awareness of cost/time constraints, equipment procurement, and readiness to take responsibility and make informed decisions., • Team player with good problem-solving, critical thinking, numeracy, and communication skills, • Proficient in MS Office applications., • Full UK driving licence is essential. Salary Base salary of £35,000 – £40,000 Benefits: • Ongoing training and development opportunities to support your professional growth, • Generous pension (up to 12% employer contribution, 2% minimum employee), • Annual bonus scheme (up to 12% of annual salary) with an extra 6% possible for standout performance – that’s 18%!, • Life insurance (4x annual salary), • 28 days holiday + 8 days bank holidays plus the ability to buy/sell holidays, • Family friendly policies from day 1 of employment, • An award winning Private Medical Insurance scheme with additional perks, • Employee assistance support scheme, • Various well-being initiatives Join us and become a vital part of a team that literally Keeps the UK Moving 24/7/365! Diversity & Inclusion We know that diverse teams drive innovation and excellence. Research shows that people from underrepresented groups may hesitate to apply if they don’t meet every requirement. At BPA, we are dedicated to building a diverse and inclusive workplace. So, if you're excited about this role but your experience doesn't align perfectly with every detail in the job description, we encourage you to still apply. You may be just the right candidate for this or other roles.

PLEASE MENTION GREENJOBS WHEN RESPONDING TO THIS CAREER OPPORTUNITY Energy Manager Lewis Davey is recruiting a Senior Energy Engineer / Energy Manager to join a leading organisation on one of their site-based opportunities. With an energy engineering background, you will know your way around compressed air, steam and industrial environments etc. As the Senior Energy Engineer, you will focus on the identification and quantification of energy and water efficiency opportunities associated with new and existing buildings across all systems, equipment and energy producing structures. Lewis Davey are looking to speak with Energy Managers / Engineers who are familiar with HVAC and central energy plants, lighting, controls, and automation. This role will be responsible for the proposal, development and evaluation of energy-related projects or programs delivered to reduce energy costs and/or improve energy / water efficiency. Role • Perform on-site energy efficiency audits that are focused on HVAC / Utility systems and associated control systems and lighting energy efficiency opportunities, • Analyse potential opportunities, create proposals and present findings to client., • Work with site operation team to optimise system performance i.e. via BMS setting optimisation., • Recommend system operations based on current client needs and building usage., • Research emerging technologies and standards for implementation into company practice and project implementation, • Conduct site visits to verify installation and operation of technologies including ownership of site metering systems, • Co-ordinate and inspect on-site work and installations performed by suppliers, consultants and contractors, • Work with project site staff, client staff and maintenance teams to ensure accurate operation within design parameters, • Work with Energy Data Analyst to review consumption before, during and after implementation phases What you ll need to succeed • Experience in similar role or field. (Desirable), • Experience in facilities/utilities operation and maintenance. Required system experience HVAC, Steam generation systems, Chilled water generation., • Experience in Refrigeration systems and F-Gas / Natural refrigerant applications an advantage, • Building Services Degree qualified or working towards (Desirable), • Knowledge of BMS systems is essential and proficiency with Metasys with access to modify code desirable., • Project management skills (change control, budgets, planning and tracking), • Energy management CEM qualified or equivalent desirable Please note that we will endeavour to review your application within two weeks and, if there is interest in your candidacy, a Consultant will be in touch. Unfortunately, due to the significant amount of applications we receive, we are unable to provide individual feedback so if you have not heard from us within two weeks, please consider your application unsuccessful. Thank you for your interest. All applications will be subject to Lewis Davey s privacy policy which can be viewed here: Lewis Davey specialise in recruiting talented people across Town Planning, Cleantech & Sustainability and Environmental industries. TO APPLY PLEASE CLICK THE "APPLY NOW" BUTTON AND YOU WILL BE REDIRECTED TO BEGIN THE APPLICATION PROCESS

This client is one of the market leaders in cutting-edge optoelectronic devices for the next generation of optical communications networks.They are looking for an experienced engineer to join their team of experts, providing a key influence in the development and research of III-V optical chip compo

WHAT IS IN IT FOR YOU? • Permanent role, • Hemel Hemsptead location, • Salary up to £40k per annum, • 25 days holiday plus stat, • Enhanced pension, • Cycle to work scheme THE BUSINESS Westray Recruitment Group is seeking to recruit a talented Product Design Engineer for our client based in the Hemel Hemsptead area on a permanent contract. The organisation designs a wide portfolio of products for demanding market sectors within retail solutions. The business prides itself on impeccable customer service, providing bespoke & innovative ideas and enabling its clients to showcase their brand identity. THE ROLE Primary Functions: • Design and develop innovative retail display solutions both in sheet metal work and timber using 3D CAD packages, • Participate in costing estimation activities and participate in tender cost analysis to ensure competitive bids are submitted and subsequent products are designed and implemented to submitted cost, • Drive NPD projects through the business from conception through to engineering release and subsequent support for production delivery, • Responsible for implementation of all required design information including Bills of Materials / work instructions relating to new product introduction, • Manage engineering change and non-conformance, • Lead and participate in design reviews to ensure current and future products are robust Design for Manufacturing and value engineering ideas are realised in a timely manner, • Project manage the sourcing of engineering prototypes / customer samples through the supply chain / development facility, • Check engineering release packs for drawing/model inconsistencies, • Identify existing designs where value engineering opportunities exist, • Chair/participate in new product development reviews, • Chair/participate in various meetings; internally, with suppliers and customers Secondary Functions: • Actively participate in developing the use of 3D CAD system standardisation and capabilities, • Manage own workload/reallocation of work as requested by the Technical Services Manager, • Research new technologies that would benefit the business, • Liaise with various departments throughout the company and suppliers to highlight and take advantage of value engineering opportunities, • Undertake site visits and surveys as and when required (both in the UK and abroad), • Support supplier/vendor assessments for purchased components, • Undertake additional duties as requested by the Technical Services Manager THE PERSON The Design Engineer (Product) will be a motivated, proactive and confident individual with energy and drive. Through your skills and experience you will play an active role in the continued development and growth of our business. You will have: • Product Design Engineer or Mechanical design engineer or industrial design background, • Experience of designing sheet metal, timber and acrylic products, • Competent in the use of 3D design packages (such as Solid Edge, or similar) TO APPLY Please click apply and your CV will go directly to our consultants. Alternatively, please call us on 0191 492 6622 - option 2

A highly skilled Principal Electronics Engineer Job has come up to join my client who is a global leader in developing embedded computing, based in Northamptonshire.With a high investment in research and development, several on-going projects and substantial growth, my client are looking to recruit

Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction.Design advanced speculative execution mechanisms and thread-level speculation (TLS).Research branch prediction innovations including neural branch predictors, path-b

My Client is proud of the role they play in supporting the Armed Forces who protect our nations. They partner with governments to work together towards a common goal, defending our freedom. They are looking for a variety of RF Engineers - Team Lead RF Design / RF Electronic Engineer / RF-EO-IR Professionals / RF Design Engineer with proven practical design experience for cutting edge defence products. The roles cover RF and EletroOptic technologies with applications covering systems design work, hardware and firmware. You'll be working on the research, design and testing of cutting-edge radio-frequency technology for integration into complex systems, with a focus on utilising your hands on experience to carry out modifications or rapid prototypes where required. About the Role They are looking for a team player who can use their initiative and has a real passion for electronic engineering. The role would ideally suit someone who is comfortable carrying out hands on testing and modifications to boards while having a strong background in RF design. Responsibilities / Required Skills • Proven practical RF (component level) design and testing of RF circuits across a wide frequency range (eg, 30MHz to 30GHz, including LNA Amplifier, High Power Amplifier, filter, local oscillator, synthesiser, modulator design etc), • RF design experience for harsh environments (EMC, vibration, thermal), • Ability to perform design proving tests and trials in the onsite laboratory, • Excellent practical skills including soldering, fault finding and the use of RF test equipment including Spectrum Analysers, Power Meters & VNAs, • Good knowledge of digital, analogue and power supply design, • Experience using RF design tools (eg Microwave Office), including layout., • Fully conversant with manufacturing techniques and capabilities, including design for manufacture and test., • Strong communicator with excellent presentation and report writing skills and the ability to communicate clearly any problems, solutions or results to the team and customer., • Proven practical RF (component level) design and testing of RF circuits across a wide frequency range (eg, 30MHz to 30GHz, including LNA Amplifier, High Power Amplifier, filter, local oscillator, synthesiser, modulator design etc) Preferred Skills RF design experience for harsh environments (EMC, vibration, thermal) Equal Opportunity Statement The company are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more.

Working Pattern: Hybrid, typically 2-3 days on-site per week (subject to project change, this may increase) Are you an Electronics Design Engineer seeking a challenging role on high-quality projects? We're looking for a skilled and ambitious engineer to join my clients Analogue and Digital Capability Group. You will play a vital role in developing and delivering high-quality electronic designs for advanced products. What the Role Involves: * Take on all aspects of board-level electronic design, including schematic capture, prototyping, functional testing, and verification. * Collaborate with Electronic Engineering teams to ensure seamless integration of electronics within products. * Apply development techniques such as circuit simulation and DFMEA to deliver robust designs and support the full product lifecycle, including validation and quality assurance. * Contribute to research and continuous improvement activities to enhance the Electronic Engineering capability. What They're Looking For: * Experience in electronic design, development, and delivery. * Ability to work effectively within a multi-disciplinary team and overcome technical challenges. * Broad knowledge of electronic technologies and products. Employee benefits include: * Company bonus (Performance based) * Pension: Up to 14% total contribution (employer + employee) * Paid Overtime * Flexible Working & Flexi Leave * Enhanced Parental Leave * Onsite Facilities: Excellent site amenities including subsidised meals and free parking Take the next step in your career and join a team dedicated to delivering innovative electronic solutions in a supportive, dynamic environment! Please reach out to me for more details. Desired Skills and Experience Electronics engineering, Analogue, Digital, Design, Electronics Design, Development, Schematic capture, Circuit stimulation, DFMEA, Product lifecycle.

A leading agricultural research institute in Hatching Green is seeking a full-time Agricultural Service Engineer Supervisor.

A leading aerospace company in Luton is seeking a Senior Research Engineer to support the development of next-generation composite aero structures. The ideal candidate should have a strong background in material science and FEA simulation, and will play a vital role in innovative product research.

We require a full time Agricultural Service Engineer Supervisor to work on our busy Harpenden Research Farm in Hertfordshire, which forms part of the new Rothamsted Integrated Farm Platform (IFP).

A global aerospace leader is seeking a Senior Research Engineer at their Luton site. Candidates must demonstrate expertise in materials science, FEA simulation, and project management. Expected skills include strong communication and report writing abilities, along with a relevant engineering degree

We’re looking for a Senior Research Engineer with a strong mechanical engineering background to support the development of next‑generation composite aero structures, ice protection and transparency products. As a Senior Research Engineer you’ll bring specialist knowledge in materials science a

Are you a highly skilled Electronics Development Engineer with proven expertise in fault finding down to component level? Do you have a passion for product development and innovation? Join our expanding team at Smiths Detection and be part of a fast-paced, dynamic environment where you’ll contribu

Work closely with global engineers and researchers across Europe. Are you ready to join a team continuously investing in AI engineering and research?. This role is ideal for someone who enjoys a blend of engineering and research - shipping models while staying close to new developments in NLP and LL

Are you an experienced R&D Engineer with a passion for automation, robotics, and intelligent systems?. Collaborate with software and hardware engineers to integrate your features. Mentor engineers and help shape the growing R&D function.

Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction. Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional control flow slice techniq

Database Senior Researcher - Up to £100,000 - Edinburgh We are working in close partnership with one of the worlds most innovative tech companies with one of the largest R&D teams in the world with approximately 80,000 employees in their research centres.

You will work closely with a wide range of internal G‑Research teams, including Quant Researchers, Quant ML engineers and other engineering groups – as well as with external partners and experts. From our London HQ, we unite world‑class researchers and engineers in an environment that values d

Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction. Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional control flow slice techniq

Research Engineer# Research EngineerPPlasmaFULLTIME •NAJob descriptionPlasma is building a purpose-designed blockchain optimized for stablecoin payments, focusing on performance, predictability, and security for real-world financial use cases. As a Research Engineer, you will work within a small

Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional control flow slice techniques. Participate in joint research projects with top tier UK universities, compiler teams, and OS kernel developers on future processor

Machine Learning Research Engineer. Meaningful Impact: Contribute directly to research infrastructure that powers discoveries potentially impacting millions of lives. Exceptional Team: Collaborate with talented colleagues from diverse backgrounds across ML, bioinformatics, and engineering.

Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction. Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional control flow slice techniq

A cutting-edge technology firm in Greater London is seeking an Interface Research Engineer to design algorithms that adapt to user interactions.

Key Responsibilities:Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction. Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional contr

We’re looking for a Cloud Security Research Engineer to join the Product team and spread the power of Wiz. You’ll gain practical experience that can lead to exciting career paths in product management, research, or development. Research, innovate, and develop cutting‑edge detection mechanisms,

Research and develop next-generation data prefetching techniques including ML-based predictors and irregular access pattern prediction. Research branch prediction innovations including neural branch predictors, path-based prediction, slice-based prediction, and conditional control flow slice tec.

You will work closely with a wide range of internal G‑Research teams, including Quant Researchers, Quant ML engineers and other engineering groups – as well as with external partners and experts. From our London HQ, we unite world‑class researchers and engineers in an environment that values d

A leading financial data provider in Greater London seeks an experienced Senior Software Engineer.

We are looking for an AI Research Engineer that can help us develop state of the art AI products. Very strong software engineering skills and proficiency in Python. Ability to attend top research conferences like NeurIPS, ICML and CVPR.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. As part of our engineering team, you'll shape the platforms and tools that drive high-impact research - designing s

A cutting-edge blockchain company in Greater London seeks a Research Engineer to guide the evolution of its stablecoin-focused neobank. You will convert ambiguous research queries into structured plans, evaluate cryptographic technologies, and produce actionable design documentation.

We are now looking for a Machine Learning Research Engineer to help build and deliver a platform that can automatically create Virtual Agents for operational processes currently undertaken manually using browser-based UIs. Research, invent and create novel capabilities where gaps in industry require

As a Research Engineer you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting‑edge challenges in the Generative AI space, with a focus on creating high‑quality, expressive and real‑time synthetic voices. Strong general software engineering skills, en

A leading research firm in London is seeking a Frontend Engineer to join its Research and Trade DX team.

A leading AI safety organization based in London seeks a Research Engineer-Scientist to lead projects on AI safety and risk mitigation.

Research‑oriented engineer capable of taking ideas from conceptual research to practical, implementable designs. As a Research Engineer, you will work within a small research group to guide the evolution of Plasma One, the company’s stablecoin‑focused neobank. Communicate technical trade‑off