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

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

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

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

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

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

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

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

Job Summary Autel UK is seeking a proactive and customer-focused EV Charger On-Site Maintenance Engineer to provide field-based technical support for Autel EV charging products across the UK and Ireland. The role will cover installation support, commissioning, preventive maintenance, fault diagnosis, and timely issue resolution to ensure safe, reliable charger operation and excellent customer experience. Key Responsibilities • Provide on-site technical support for Autel EV charging products, including installation guidance, commissioning, maintenance, troubleshooting, and after-sales service., • Carry out routine inspections, preventive maintenance, fault diagnosis, and corrective repairs for AC/DC EV chargers and related low-voltage electrical systems., • Respond to customer technical issues and service requests, ensuring timely resolution and clear communication., • Support project delivery, including site assessments, system testing, commissioning, technical acceptance, and handover., • Collaborate with internal R&D, product, and technical teams to report field issues and support product improvements., • Prepare service reports, maintenance records, troubleshooting documents, and technical case summaries., • Deliver technical training and operational guidance to customers, partners, and internal teams when required., • Ensure all work complies with UK and Ireland electrical regulations, health and safety requirements, and company procedures. Required Qualifications and Experience • Fully qualified electrician with recognised UK or Ireland electrical qualifications and proven experience in commercial or industrial electrical environments., • Minimum of 3 years’ experience in EV charging infrastructure, electrical maintenance, new energy, field service, or a related technical environment., • Strong understanding of EV charging systems, electrical distribution, low-voltage electrical equipment, and field maintenance processes., • Familiarity with UK and Ireland electrical standards, safe working practices, and health and safety requirements. Electrical Certifications and Compliance Requirements • Level 3 electrical installation or maintenance qualification, such as City & Guilds 2365/2330, EAL Level 3, NVQ Level 3, or equivalent., • NVQ Level 3 in Electrotechnical Services, Electrical Installation, Electrical Maintenance, or equivalent apprenticeship-backed qualification., • AM2, AM2S, or equivalent end-point assessment., • Current BS 7671 Wiring Regulations qualification, commonly known as the 18th Edition., • Inspection and testing qualification, such as City & Guilds 2391, 2394/2395, or EAL equivalent., • ECS/JIB Gold Card or equivalent recognised electrician competence card., • Electrical safe isolation training and practical competence in lock-out/tag-out procedures, risk assessments, method statements, and permit-to-work processes., • EV charging installation qualification, such as City & Guilds 2919/2921, EAL EV charging qualification, or equivalent, is highly desirable., • Full UK driving licence and willingness to travel frequently across the UK and Ireland., • Fluent English communication skills; additional European languages are advantageous. Preferred Qualifications • Experience with OCPP, charging management platforms, network communication protocols, and remote monitoring tools., • Experience working with AC chargers, DC fast chargers, and/or energy storage systems., • Knowledge of smart charging, load management, renewable energy integration, and grid-interactive charging solutions., • Experience supporting partners, installers, charge point operators, or fleet customers. Key Competencies • Field service excellence and customer orientation., • Strong electrical safety awareness and disciplined working practices., • Technical troubleshooting and root cause analysis., • Clear reporting, documentation, and stakeholder communication., • Ownership, accountability, and continuous improvement mindset., • Autel is committed to delivering reliable and innovative EV charging solutions while maintaining high standards of safety, service quality, and customer satisfaction. Location: Watford, United Kingdom, with travel across the UK & Ireland Start Date: As soon as possible Working Hours: Full-time Apply now and join Autel to create a smarter future together!

AV Installation Engineer - This is a new role in today for a friendly bespoke AV systems integration company. AV A/V A-V AUDIOVISUAL AUDIO-VISUAL AUDIO/VISUAL BESPOKE SMARTHOME AUTOMATION HOME CINEMA CONTROL4 RAKO SONOS LUTRON CRESTRON CI CUSTOM INSTALL INSTALLATION RACK NETWORKING WYRESTORM DRAYTEK

If you are an experienced Azure Cloud Platform Engineer we have a new role we would like to discuss with you. Please note this is a hybrid role and will require 3-4 days per week onsite in Watford. We’re looking for a Cloud Platform & Security Engineer to design, secure, and optimise Azure environments at scale. You’ll play a key role in cloud transformation, migrating legacy systems, and driving modern data, AI, and automation capabilities. What You’ll Be Doing • Design and manage Azure infrastructure (compute, storage, networking, Microsoft Fabric), • Lead on-prem Azure migrations with minimal downtime, • Own identity & access (Microsoft Entra ID / Azure AD, hybrid environments), • Implement API integrations using Azure API Management (APIM), • Deliver data & analytics solutions (Microsoft Fabric, Power BI, AI services), • Drive security best practice (Defender suite, Zero Trust, Purview), • Build automation & IaC (PowerShell, Azure CLI, Terraform), • Set up monitoring & alerting (Azure Monitor, Log Analytics, Sentinel), • Manage cost, licensing & governance across Azure estates What You’ll Bring • Strong hands-on experience with Microsoft Azure (architecture, admin, governance), • Expertise in Fabric, Power BI, APIs, AI integration & data pipelines, • Solid knowledge of ...

My client is a leading name in the construction and engineering industry, renowned for delivering high-quality infrastructure projects across the UK. With a commitment to innovation, sustainability, and excellence, they are dedicated to shaping the future of construction. Their HQ in Hertfordshire is at the heart of their operations, driving forward projects that make a significant impact on communities and the environment. They are seeking a highly skilled and experienced Principal Design Engineer with a strong background in Civil Engineering and temporary works design to join their team in Hertfordshire. Those who have site based experience and TWC would be advantageous. The successful candidate will play a pivotal role in the design and delivery of complex civil engineering projects, with a particular emphasis on the safe and efficient integration of scaffolding and access systems. This role requires technical leadership, design expertise, and a proactive approach to collaboration and safety. The successful candidate will be offered a hybrid working arrangement with two working days from home permitted. Duties Lead the design and engineering phases of both permanent and temporary works, with a key focus on scaffolding, access platforms, edge protection, and associated temporary structures. Develop and review engineering designs, drawings, and specifications for scaffold systems and access solutions in compliance with TG20, SG4,...

A leading engineering organisation is seeking a talented Electronic Systems Engineer to play a key role in the design and integration of complex electronic systems. This is an excellent opportunity to work on advanced, high-integrity engineering projects within a collaborative and innovative environ

An opportunity has arisen in an agile team with varied strengths for an Engineer to work across the entire portfolio of our client's products undertaking sophisticated analysis and supporting both laboratory and field trials! The Opportunity: The Trials and Analysis team within Environmental Engineering is integral within all land, sea and air based weapons system projects. Environmental provide a key technical focal point for all stages of the product lifecycle, from concept definition and product development, through design aid and formal qualification, and into in-service support. Expertise covers the areas of: requirements specification and management; data analysis; simulation and modelling; and testing in climatic, mechanical (vibration and shock), structural mechanical and fatigue The Role: Apply specialist technical knowledge to complex systems and structural mechanisms providing advice to projects with the responsibility for the delivery of technical aspects of data evaluation activities. Collaborate with customers to perform data evaluation tasks or technical work packages, such as data gathering trials and assessments, platform integration activities, and structural modal assessment. Ensure timely and budget-compliant delivery of high-quality results. Carry out a full range of technical evaluations and investigations, including evaluation of technical options, preparation of reports with suggested recommendations to support the resolution of problems attributed to shock and vibration. Develop test specifications and carry out activities related to vibration, shock and signal evaluation in line with all technical, safety and quality standards. Plan, deliver and monitor assigned work packages, make engineering decisions within own sphere of responsibility and delegated authority to ensure requirements are delivered to plan. Perform engineering capability improvements through methods and process development efforts. What we're looking for from you: A strong technical background in environmental, mechanical or similar field with: Excellent investigative instinct and decision making attributes Excellent interpersonal and influencing skills High motivations and adaptability Experienced in analysing vehicle/missile operations in complex environments Instrumentation and signal processing experience helpful Vibration, shock and thermal analysis experience preferred Dynamic (hybrid) working: Typically 4 days per week on-site, due to workload classification. Security Clearance: British Citizen or a Dual UK national with British citizenship. Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more… Healthcare Cash Plan: The Healthcare Cash Plan benefit provides the option to claim cash back on everyday healthcare expenses such as optical, dental, health and wellbeing and more

Audio Visual Engineer - High End Residential London | £35,000-£50,000 + overtime + van Do you enjoy turning luxury homes into beautifully integrated, intelligent spaces? We're working with a residential AV specialist delivering high spec smart home and audio visual systems into some of the UK's most prestigious properties. The work is design led, technically detailed, and quality driven, with a strong focus on how systems look, feel, and perform long after handover. This is a hands on engineering role suited to someone who takes pride in neat installs, reliable systems, and a professional client experience. The role As an Audio Visual Engineer, you'll support the delivery and ongoing performance of luxury residential AV and smart home systems. The role covers both installation and service, ensuring systems are installed cleanly, commissioned correctly, and supported to the highest standard. What you'll be doing: Installing home cinemas, distributed audio, and video systems. Programming, commissioning, and servicing home automation systems including Control4, Lutron, Crestron, and Savant. Building racks and wiring systems to a high professional standard. Precision cable termination and clean system integration. Integrating lighting, blinds, and shading into AV and control platforms. Troubleshooting, fault finding, and providing ongoing maintenance support. Working closely with designers, project managers, and fellow engineers to deliver exceptional results. What they're looking for: Proven experience installing and or servicing luxury residential AV and home automation systems. Control4 and or Lutron experience strongly preferred, with Crestron or Savant also highly desirable. Strong rack build and cable termination skills. Programming and commissioning experience highly advantageous. Excellent technical ability with strong attention to detail. Comfortable liaising with high end clients and contractors. Full UK driving licence preferred. Why this role? £35,000 to £50,000 salary depending on experience. Paid overtime at enhanced rates. Company van and fuel card. Mobile phone, laptop, and uniform provided. 5 weeks holiday including Christmas allocation. Pension scheme. Ongoing training and certification support. Opportunity to work on exceptional residential projects. Supportive and collaborative team environment. Sound like your kind of role? Apply confidentially via this advert. The company name is withheld to avoid direct approaches, with full details shared at shortlist stage. You might be currently working as: AV Engineer | Audio Visual Engineer | Senior AV Engineer | Residential AV Engineer | Home Automation Engineer | Smart Home Engineer | Control4 Engineer | Lutron Engineer | Crestron Programmer | Savant Engineer | Home Cinema Installer | AV Service Engineer | AV Installation Engineer | Lighting Control Engineer | AV Systems Engineer | Smart Home Technician | AV Programmer INDAV

C# Software Engineer | Hertfordhire based | Hybrid working This professional area is fundamental to the development of systems and system architectures, as a result we have developed a capability supporting developments across the full product life cycle. The team integrate real products, models and synthetic environments to provide visualisation, demonstrations, verification & validation as well as training capability and support. You will be joining a department that has advanced the use of distributed simulation in System Design and Development; you'll develop your skills and abilities across the whole of the development lifecycle, supporting some of the world's most advanced defence systems. You will be part of a team, delivering innovative solutions whilst utilising the latest technologies to provide an end to end representation of the system through: Visualisation and demonstrations Experimentation Design and development Verification and Validation Training Systems Development (using agile scrum methodologies) of real-time software components to simulate systems, including the Integration of hardware to provide true representations of our systems. What we're looking for from you: We are looking for passionate software developers with experience in using software to build hardware solutions or synthetic environments. The successful candidates will be able to demonstrate exposure to practical software engineering, C# / C++ software development. You will be able to demonstrate your experience / knowledge in some of the following areas: Real-Time Software Configuration control Continuous Integration and Continuous Delivery or Deployment Unit testing and test driven development Agile developmentWhat we can offer you: Company bonus Pension: Maximum total (employer and employee) contribution of up to 14% Overtime: Opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave Facilities: Fantastic site facilities including subsidised meals, free car parking and much more

BESS Commissioning Engineer Location Barnet & Rayleigh, UK Contract Type Contract Overview We are currently seeking experienced BESS Commissioning Engineers to support utility-scale Battery Energy Storage System (BESS) projects across multiple UK sites. The successful candidate will play a key role in the commissioning, testing, troubleshooting and energisation of battery storage systems, working closely with site teams and engineering support functions to ensure safe and efficient project delivery. This opportunity would suit candidates with previous experience within BESS, substations, renewable energy, HV/LV systems or wider power infrastructure environments. Responsibilities • Carry out commissioning and testing activities for Battery Energy Storage Systems (BESS), • Support cold and hot commissioning activities across electrical systems and associated equipment, • Perform fault finding, troubleshooting and system verification activities, • Assist with energisation procedures and site acceptance testing, • Support commissioning documentation, testing records and handover activities, • Work alongside site management and engineering teams to coordinate commissioning activities, • Verify SCADA/communications systems and assist with system integration checks, • Ensure all work is completed in line with site safety procedures and operational standards, • Maintain accurate reporting and commissioning documentation throughout the project lifecycle Requirements • Previous commissioning experience within BESS, renewable energy, substations, HV/LV systems or related electrical infrastructure projects, • Strong understanding of electrical systems, commissioning procedures and power infrastructure environments, • Experience with testing, fault finding and energisation activities, • Ability to read and interpret electrical drawings and technical documentation, • Strong communication and problem-solving skills, • Comfortable working in fast-paced site environments Desirable • Utility-scale BESS project experience, • HV/LV Authorised Person experience or electrical certifications, • Experience with SCADA, EMS, PCS/inverters or Modbus communications, • CSCS, IOSH, NEBOSH or SMSTS certifications, • Renewable energy or substation commissioning background Contract Details • £55 per hour, • 10-hour days Monday–Friday, • 2pm finish on Fridays, • Initial project in Barnet (3–4 weeks), • Follow-on project in Rayleigh, Essex (3–6 months) Apply Please apply with your updated CV to be considered for this opportunity

Electronic Engineer If you’re looking for a Electronic Engineer role where you can truly develop into a subject matter expert over the next few years, this is a rare opportunity to do exactly that. You’ll join a world-class engineering team working on complex computer Electronic systems, gaining experience across design, integration, qualification, and documentation, whilst learning from Electronics experts who are passionate about developing talent for the long term. This is a broad Electronic engineering position focused on computer Electronic rather than bleeding-edge electronics R&D. There will be some design work, but also a strong focus on system integration, documentation, and problem-solving, ideal for someone who enjoys practical engineering and seeing how everything fits together. The company is known for developing their engineers, helping them grow into specialists and leaders in their field. Hybrid working (2 days from home). Electronic Engineer essential requirements: At least 2 years commercial experience in a similar role Degree in Electronic Engineering Solid experience in some of the technologies below Other experience that will be useful - embedded systems, digital and analogue design, small microprocessor and microcontroller systems, schematic design and some PCB layout (ORCAD, MENTOR or similar), Op Amp and DC-DC PSU design, EMC design (or willing to learn), environmental testing to standards such as RTCA/DO-160 including test specification and reporting, board-level fault finding, production collaboration experience, experience in aerospace, automotive, medical, or safety-critical environments. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position: Electronic Engineer Location: Letchworth Salary: £40-60k Benefits: Training and career development with mentoring and annual budget, performance-based bonus, 7% pension, life assurance, 25 days holiday, flexible and hybrid working, employee assistance programme, online discounts, and discounted share purchase plan. Key Skills: Electronic engineering, Embedded, EMC, digital and analogue design, PCB layout

For more information on the Integration Engineer role, please apply now!. Expleo are recruiting for an experienced Integration and Test Engineers to join our team on a contract basis, supporting our client, a major Automotive manufacturer based in Warwickshire. Analyse logs, identify issues, support

Close liaison with technical experts in Offshore Engineering's EC&I Department and the Grid Integration & Studies Engineers working on similar projects to ensure their knowledge is effectively utilised on the project. The Engineer will sit in the client Renewables Electrical System & Project Enginee

Strong experience in Systems Integration, Integration Engineering, Application Integration, or a similar technical role. Senior Systems Integration Engineer | Hybrid London | 6-Month FTC. We are seeking a Senior Systems Integration Engineer to bring stability, connectivity, and technical leadership

As a Vehicle Integration Senior Engineer, you will be responsible for supporting vehicle-level integration activities, ensuring that systems and components function together seamlessly to meet programme requirements. Vehicle Integration Senior Engineer. Support vehicle integration activities across

Working alongside NHS Trusts and healthcare organisations across the UK, you will play a key role in designing, implementing, and supporting integration solutions that enable seamless interoperability between critical healthcare systems. Design and implement healthcare integration solutions across N

SQL Data Engineer – Azure Integration | Hotel Chocolat. Reporting to the Senior Data Manager, the SQL Data Engineer will play a key role in the organisation’s data transformation programme, working across SQL Server, Azure Integration Services, data warehousing and enterprise data architecture.

Unity is advertising this opportunity on behalf of our client.All applications will be directed to our client.Are you an experienced cleaner looking for flexible work that fits around your life?.Whether you’re looking to fill gaps between other jobs or build a full-time income on your terms, this

Learning & Development Data Analyst.At Barchester Healthcare, we are committed to developing our people and creating a culture of continuous learning across our organisation.We are looking for a Learning & Development Data Analyst to join our L&D team and play a key role in ensuring the accuracy, in

Unity is advertising this opportunity on behalf of our client.All applications will be directed to our client.Are you an experienced cleaner looking for flexible work that fits around your life?.Whether you’re looking to fill gaps between other jobs or build a full-time income on your terms, this

Assist with the delivery of a clean and safe user environment within various premises across East Ayrshire in order to assist with the promotion, delivery and integration of the Council’s key objectives; specifically in relation to the Community Plan, Shared Commitments, Single Outcome Agreement a

Unity is advertising this opportunity on behalf of our client.All applications will be directed to our client.Are you an experienced cleaner looking for flexible work that fits around your life?.Whether you’re looking to fill gaps between other jobs or build a full-time income on your terms, this

The salary advertised is full time (35 hours per week, 52 weeks per year).Part-time hours / sessional posts will be pro-rated accordingly.This is a 52-week non-sessional post i.To assist in the provision of a high quality cleaning service within Council buildings.Please download the Job Outline/Pers

Due to our continued growth, we now have an exciting opportunity for a part-time Cleaner to join our business working in a retail environment in.Experience is preferred but not essential as we will invest in your training and development, while giving access to education opportunities for your futur

Assist with the delivery of a clean and safe user environment within various premises across East Ayrshire in order to assist with the promotion, delivery and integration of the Council’s key objectives; specifically in relation to the Community Plan, Shared Commitments, Single Outcome Agreement a

Degree in Mechanical Engineering, Chemical Engineering, Process Engineering, or closely related discipline. Our most successful hires have come from a range of backgrounds including chemical engineering, process engineering, and mechanical engineering. This is a consulting engineering role — the p

We are currently supporting a specialist client focused on electric vehicle powertrain and ancillary technology development who are looking for a graduate engineer to join the team as a Junior Systems Design Engineer. Work with senior engineers supporting test rig design and implementation. Required

Bachelor’s degree (or higher) in Electrical Engineering, Power Systems Engineering, or related discipline. Piper Maddox are supporting a well-established and growing energy company in their search for an Electrical Design Engineer Lead. Role: Electrical Design Engineer Lead.

You will be responsible for the detailed mechanical design of precision-engineered components and assemblies, working closely with manufacturing and engineering teams to deliver robust, manufacturable solutions. This is a fantastic opportunity for an engineer looking to work on advanced, precision-e

Software & Systems Test Coordination Engineer. Solid understanding of software integration principles and dependencies.

An exciting opportunity for a Control Systems Engineer to join a pioneering engineering team developing advanced electric vehicle technologies. Degree in Control Systems, Electrical Engineering, Automotive Engineering, Mechatronics or similar. Working at the intersection of high-performance automoti

Test Analyst / QA Tester – Hybrid – Warwick - UK.Tech stack: SQL, Postman/Bruno, QA, Tester, Test Analyst, API Testing, Selenium, Playwright, Jira, Azure DevOps).Our client is looking for a proactive.This is a fantastic opportunity for a mid-level.Creating and executing test plans, test cases an

Degree in Control Systems, Electrical Engineering, Automotive Engineering, Mechatronics or similar. We are seeking a Senior Control Systems Engineer to lead the development of advanced control systems within an innovative engineering environment focused on high-performance electrified vehicles. Supp

Systems Engineering or related engineering role. This is an excellent opportunity for an engineer with early career experience to gain exposure across the full systems engineering lifecycle while contributing to complex, mission-critical projects in a highly innovative environment. We are seeking a