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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
HVAC Engineer Kent London Surrounding Areas 30,000 to 36,000 basic, bonus, overtime, company van, fuel card, 33 days holiday, paid lunch, pension, healthcare Are you a Mechanical Ventilation Engineer who wants to be part of a close-knit team where quality, training and people actually matter? Do you want to build a long-term career in renewables with manufacturer-led training and real support from leadership, not just another service role? This is a fantastic opportunity to join a well established renewable energy specialist that has been operating since 1999 and has been installing renewable technology long before it became fashionable. The business works heavily within social housing and commercial environments and prides itself on protecting its engineers, maintaining high standards and delivering quality over volume. You will be joining a close-knit mechanical team where engineers are trusted to work independently day to day but are fully supported by an operations director, managers and team leaders who are visible, approachable and hands on. There is a strong culture of feedback, regular resets, team collaboration and open communication right up to quarterly sessions with the CEO. Training is a huge part of this role. You will have access to a dedicated training centre, internal and external courses and manufacturer-led training across MVHR, MEV and PIV systems. Whether you want to deepen your technical skillset, gain additional qualifications or simply be excellent at what you do, you will be supported every step of the way. The person Experience working with MVHR, MEV or PIV systems or a strong ventilation background NVQ Level 2 or 3 in Ventilation, Plumbing or Building Services or equivalent Full UK driving licence Customer facing and respectful with the ability to represent the company professionally The right attitude, takes pride in work and values being part of a team The role Service, maintenance, fault finding and repairs on mechanical ventilation systems Planned and reactive works across social housing and commercial sites Commissioning, airflow testing and system performance checks Completing reports and documentation to a high standard Working Monday to Friday, 8am to 5pm with paid lunch and optional overtime Reference Number: (phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Jan 12, 2026
Full time
HVAC Engineer Kent London Surrounding Areas 30,000 to 36,000 basic, bonus, overtime, company van, fuel card, 33 days holiday, paid lunch, pension, healthcare Are you a Mechanical Ventilation Engineer who wants to be part of a close-knit team where quality, training and people actually matter? Do you want to build a long-term career in renewables with manufacturer-led training and real support from leadership, not just another service role? This is a fantastic opportunity to join a well established renewable energy specialist that has been operating since 1999 and has been installing renewable technology long before it became fashionable. The business works heavily within social housing and commercial environments and prides itself on protecting its engineers, maintaining high standards and delivering quality over volume. You will be joining a close-knit mechanical team where engineers are trusted to work independently day to day but are fully supported by an operations director, managers and team leaders who are visible, approachable and hands on. There is a strong culture of feedback, regular resets, team collaboration and open communication right up to quarterly sessions with the CEO. Training is a huge part of this role. You will have access to a dedicated training centre, internal and external courses and manufacturer-led training across MVHR, MEV and PIV systems. Whether you want to deepen your technical skillset, gain additional qualifications or simply be excellent at what you do, you will be supported every step of the way. The person Experience working with MVHR, MEV or PIV systems or a strong ventilation background NVQ Level 2 or 3 in Ventilation, Plumbing or Building Services or equivalent Full UK driving licence Customer facing and respectful with the ability to represent the company professionally The right attitude, takes pride in work and values being part of a team The role Service, maintenance, fault finding and repairs on mechanical ventilation systems Planned and reactive works across social housing and commercial sites Commissioning, airflow testing and system performance checks Completing reports and documentation to a high standard Working Monday to Friday, 8am to 5pm with paid lunch and optional overtime Reference Number: (phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
ARM (Advanced Resource Managers)
Cosham, Hampshire
Cyber Security Assurance Manager Full Time Permanent Hybrid - Portsmouth PO6 (3 days per week onsite) £60-80K basic + benefits (5% pension, 25 days hols, life insurance, medical cover) Are you an experienced Cyber Security Assurance Manager looking for a new challenge? Do you have a background in Cyber Security Assurance with a strong understanding of delivering and maintaining cybersecurity certifications, along with strong understanding of SOC operations and security assurance frameworks and also experience in customer-facing assurance activities, including audits, RFIs, and RFPs? Here at ARM we are recruiting for a full time permanent Cyber Security Assurance Manager for a global IT services and consultancy client of ours. Our client: They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Overview: The Cyber Security Assurance Manager will be responsible for ensuring the Security Operations Centres (SOC) achieves and maintains internationally recognised security certifications, audit reports, and assurance standards. This role will focus on delivering and maintaining certifications such as ISO/IEC 27001, SOC2 Type II, Cyber Essentials Plus, Crest SOC accreditation, and sector-specific frameworks (PCI DSS, NCSC CIR/CHECK), providing customer confidence in our SOC services. As a key member of the Governance, Risk, and Compliance (GRC) function, the Cyber Security Assurance Manager will lead customer assurance activities, including audit preparation, security compliance queries, and support for security-related RFPs and RFIs. Acting as a trusted point of contact for clients and auditors, the role will showcase our certified security credentials and help build lasting confidence in the credibility of our SOC services on a global scale. Responsibilities: 1. Certification Delivery & Maintenance: Lead the delivery and ongoing maintenance of key SOC-related certifications including SOC 2 Type II, SOC 3, ISO/IEC 27001, Cyber Essentials Plus, and Crest. Oversee sector-specific assurance needs such as PCI DSS for cardholder data environments or NCSC CIR/CHECK where relevant. Ensure certifications are renewed on schedule and compliance gaps are proactively addressed. 2. Security Assurance for SOC Services: Embed certification requirements into the SOC's governance, processes, and operational practices. Ensure continuous monitoring, evidence collection, and readiness for internal/external audits. Translate security control requirements into operational procedures for SOC teams. 3. Customer Assurance Engagement: Act as primary contact for customer assurance activities relating to SOC services. Support client RFIs, RFPs, and audit requests with accurate certification evidence and security documentation. Build customer-facing assurance packs that demonstrate our security posture and SOC credibility. 4. Regulatory & Industry Alignment: Monitor developments in global cybersecurity regulations and frameworks (eg NIST CSF, UK NCSC guidance, EU NIS2, GDPR). Align SOC assurance with emerging requirements to ensure future readiness. Provide expert advice to leadership on how regulatory changes impact SOC assurance strategy. 5. Continuous Improvement & Reporting: Drive continuous improvement in SOC assurance processes, reducing time to audit readiness and increasing efficiency of evidence collection. Produce regular reports and dashboards for the Head of Assurance and senior stakeholders on certification status, audit outcomes, and assurance performance. 6. Collaboration & Knowledge Sharing: Work closely with SOC operations, Information Security, Risk & Compliance, and Commercial teams to embed assurance requirements into daily practice. Provide training and awareness on SOC assurance standards to internal teams. Qualifications: Required Qualifications and Experience- Demonstrable experience delivering and maintaining cybersecurity certifications (ISO/IEC 27001, SOC 2 Type II, Cyber Essentials Plus, Crest). Strong understanding of SOC operations and security assurance frameworks. Experience in customer-facing assurance activities, including audits, RFIs, and RFPs. Knowledge of regulatory and industry frameworks including NIST CSF, GDPR, and UK NCSC guidance. Experience liaising with external auditors, regulators, and certification bodies. Skills- Strong ability to develop and maintain compliance documentation and audit evidence. Excellent communication skills to explain complex security assurance topics to customers, senior leaders, and SOC teams. Analytical and detail-oriented, with the ability to identify gaps and design improvements. Stakeholder engagement and influencing skills, particularly with technical and commercial teams. Organisational skills to manage multiple certifications and assurance projects simultaneously. Behaviours- Integrity and professionalism in all assurance activities. Customer-focused, with confidence in handling external assurance discussions. Proactive, solutions-oriented mindset with a drive for continuous improvement. Resilient and adaptable in a fast-moving global SOC environment. Collaborative, building trust and teamwork across technical, compliance, and commercial functions. Some of the benefits include: Healthcare and dental insurance Company pension is matched up to 5% 25 days annual leave entitlement plus bank holidays and the option to purchase 5 extra days Life assurance - 4 x annual salary Cycle to work scheme Client prioritises internal development opportunities and offer access to our Udemy training platform with over 5000 training courses Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
Jan 12, 2026
Full time
Cyber Security Assurance Manager Full Time Permanent Hybrid - Portsmouth PO6 (3 days per week onsite) £60-80K basic + benefits (5% pension, 25 days hols, life insurance, medical cover) Are you an experienced Cyber Security Assurance Manager looking for a new challenge? Do you have a background in Cyber Security Assurance with a strong understanding of delivering and maintaining cybersecurity certifications, along with strong understanding of SOC operations and security assurance frameworks and also experience in customer-facing assurance activities, including audits, RFIs, and RFPs? Here at ARM we are recruiting for a full time permanent Cyber Security Assurance Manager for a global IT services and consultancy client of ours. Our client: They're a leading business with a global reach that empowers local teams, and they undertake hugely exciting work that is genuinely changing the world. Their advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Overview: The Cyber Security Assurance Manager will be responsible for ensuring the Security Operations Centres (SOC) achieves and maintains internationally recognised security certifications, audit reports, and assurance standards. This role will focus on delivering and maintaining certifications such as ISO/IEC 27001, SOC2 Type II, Cyber Essentials Plus, Crest SOC accreditation, and sector-specific frameworks (PCI DSS, NCSC CIR/CHECK), providing customer confidence in our SOC services. As a key member of the Governance, Risk, and Compliance (GRC) function, the Cyber Security Assurance Manager will lead customer assurance activities, including audit preparation, security compliance queries, and support for security-related RFPs and RFIs. Acting as a trusted point of contact for clients and auditors, the role will showcase our certified security credentials and help build lasting confidence in the credibility of our SOC services on a global scale. Responsibilities: 1. Certification Delivery & Maintenance: Lead the delivery and ongoing maintenance of key SOC-related certifications including SOC 2 Type II, SOC 3, ISO/IEC 27001, Cyber Essentials Plus, and Crest. Oversee sector-specific assurance needs such as PCI DSS for cardholder data environments or NCSC CIR/CHECK where relevant. Ensure certifications are renewed on schedule and compliance gaps are proactively addressed. 2. Security Assurance for SOC Services: Embed certification requirements into the SOC's governance, processes, and operational practices. Ensure continuous monitoring, evidence collection, and readiness for internal/external audits. Translate security control requirements into operational procedures for SOC teams. 3. Customer Assurance Engagement: Act as primary contact for customer assurance activities relating to SOC services. Support client RFIs, RFPs, and audit requests with accurate certification evidence and security documentation. Build customer-facing assurance packs that demonstrate our security posture and SOC credibility. 4. Regulatory & Industry Alignment: Monitor developments in global cybersecurity regulations and frameworks (eg NIST CSF, UK NCSC guidance, EU NIS2, GDPR). Align SOC assurance with emerging requirements to ensure future readiness. Provide expert advice to leadership on how regulatory changes impact SOC assurance strategy. 5. Continuous Improvement & Reporting: Drive continuous improvement in SOC assurance processes, reducing time to audit readiness and increasing efficiency of evidence collection. Produce regular reports and dashboards for the Head of Assurance and senior stakeholders on certification status, audit outcomes, and assurance performance. 6. Collaboration & Knowledge Sharing: Work closely with SOC operations, Information Security, Risk & Compliance, and Commercial teams to embed assurance requirements into daily practice. Provide training and awareness on SOC assurance standards to internal teams. Qualifications: Required Qualifications and Experience- Demonstrable experience delivering and maintaining cybersecurity certifications (ISO/IEC 27001, SOC 2 Type II, Cyber Essentials Plus, Crest). Strong understanding of SOC operations and security assurance frameworks. Experience in customer-facing assurance activities, including audits, RFIs, and RFPs. Knowledge of regulatory and industry frameworks including NIST CSF, GDPR, and UK NCSC guidance. Experience liaising with external auditors, regulators, and certification bodies. Skills- Strong ability to develop and maintain compliance documentation and audit evidence. Excellent communication skills to explain complex security assurance topics to customers, senior leaders, and SOC teams. Analytical and detail-oriented, with the ability to identify gaps and design improvements. Stakeholder engagement and influencing skills, particularly with technical and commercial teams. Organisational skills to manage multiple certifications and assurance projects simultaneously. Behaviours- Integrity and professionalism in all assurance activities. Customer-focused, with confidence in handling external assurance discussions. Proactive, solutions-oriented mindset with a drive for continuous improvement. Resilient and adaptable in a fast-moving global SOC environment. Collaborative, building trust and teamwork across technical, compliance, and commercial functions. Some of the benefits include: Healthcare and dental insurance Company pension is matched up to 5% 25 days annual leave entitlement plus bank holidays and the option to purchase 5 extra days Life assurance - 4 x annual salary Cycle to work scheme Client prioritises internal development opportunities and offer access to our Udemy training platform with over 5000 training courses Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission.
Principal Highways Engineer Permanent role £45,000 - £58,000 Durham OR North Yorkshire OR West Yorkshire - Hybrid working 2 days from home A Principal Highways Engineer is required to join a design consultancy in the north. You will be responsible for leading on work and projects within the highways civil engineering team, delivering infrastructure projects efficiently, cost effectively and to client standards and requirements, whilst providing support on various design and maintenance duties. Principal Highways Engineer - BENEFITS Salary - £45,000 - £58,000 Annual leave: 25 days holiday plus bank holidays with option to purchase up to 10 additional days leave per year Pension scheme: up to 6% contribution Hybrid working to support you in a healthy work life balance Ongoing professional development through varying project work Flexible working system allowing team members to accrue 1.5 days flexi time per month Cycle2work scheme Discounts from leading retailers Generous maternity leave package Principal Highways Engineer - RESPONSIBILITIES Producing and reviewing design drawings and calculations Conducting structural assessments and principal inspections / special inspections Feasibility and preparing other technical reports and documents Developing and presenting engineering options and solutions Checking design concepts, details, drawings, specifications, contract documents and other technical documents Managing and mentoring other members of the team Driving effective health and safety practices within the team, and completing risk assessments in coordination with the project CDM requirements Liaise with all relevant stakeholders, attending meetings, and conducting presentations of reports and progress for discussion Working as part of the multi discipline team, interacting with other design disciplines Preparing technical specifications and develop Bills of Quantities Attend site visits or client meetings, carry out inspections and surveys as/when required so you must have the ability to travel to site around North Yorkshire when required Principal Highways Engineer - REQUIREMENTS Degree in Civil Engineering or an equivalent appropriate discipline Significant experience in highway design and construction. Experience in major infrastructure or resource projects within consultancies. Knowledge in preparing detailed designs and specifications using PDS and/or Civils 3D, AutoCAD, MicroDrainage etc Able to build relationships and influence, develop and motivate both internally and externally Understanding other building and engineering related disciplines OR requirements of these in the effective design, co ordination and delivery of projects. Understanding and experience of the Construction (Design and Management) Regulations 2015 A full UK driving licence Ideal candidates will be working towards becoming a chartered or incorporated engineer, but this is not required. - Fusion People are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our website.
Jan 12, 2026
Full time
Principal Highways Engineer Permanent role £45,000 - £58,000 Durham OR North Yorkshire OR West Yorkshire - Hybrid working 2 days from home A Principal Highways Engineer is required to join a design consultancy in the north. You will be responsible for leading on work and projects within the highways civil engineering team, delivering infrastructure projects efficiently, cost effectively and to client standards and requirements, whilst providing support on various design and maintenance duties. Principal Highways Engineer - BENEFITS Salary - £45,000 - £58,000 Annual leave: 25 days holiday plus bank holidays with option to purchase up to 10 additional days leave per year Pension scheme: up to 6% contribution Hybrid working to support you in a healthy work life balance Ongoing professional development through varying project work Flexible working system allowing team members to accrue 1.5 days flexi time per month Cycle2work scheme Discounts from leading retailers Generous maternity leave package Principal Highways Engineer - RESPONSIBILITIES Producing and reviewing design drawings and calculations Conducting structural assessments and principal inspections / special inspections Feasibility and preparing other technical reports and documents Developing and presenting engineering options and solutions Checking design concepts, details, drawings, specifications, contract documents and other technical documents Managing and mentoring other members of the team Driving effective health and safety practices within the team, and completing risk assessments in coordination with the project CDM requirements Liaise with all relevant stakeholders, attending meetings, and conducting presentations of reports and progress for discussion Working as part of the multi discipline team, interacting with other design disciplines Preparing technical specifications and develop Bills of Quantities Attend site visits or client meetings, carry out inspections and surveys as/when required so you must have the ability to travel to site around North Yorkshire when required Principal Highways Engineer - REQUIREMENTS Degree in Civil Engineering or an equivalent appropriate discipline Significant experience in highway design and construction. Experience in major infrastructure or resource projects within consultancies. Knowledge in preparing detailed designs and specifications using PDS and/or Civils 3D, AutoCAD, MicroDrainage etc Able to build relationships and influence, develop and motivate both internally and externally Understanding other building and engineering related disciplines OR requirements of these in the effective design, co ordination and delivery of projects. Understanding and experience of the Construction (Design and Management) Regulations 2015 A full UK driving licence Ideal candidates will be working towards becoming a chartered or incorporated engineer, but this is not required. - Fusion People are committed to promoting equal opportunities to people regardless of age, gender, religion, belief, race, sexuality or disability. We operate as an employment agency and employment business. You'll find a wide selection of vacancies on our website.
Are you a Field Service Engineer looking to upgrade your career into a regional role which includes the Midlands, South, with some European travel? Due to our rapid expansion, an opportunity has arisen for a Technical Service Engineer / Scientific Support Engineer, to manage our state-of-the-art robotics solutions within the pharmaceutical and biotechnology markets. BASIC SALARY: £52,000 - £56,000 BENEFITS: Monthly £150 On-Call Allowance + £120 for additional call out Company Pension Scheme (minimum employee contribution of 4%, Company will pay 5% and match up to 8%) Performance Bonus 25 Days Annual Holiday (Plus Statutory Days) Group Income Protection Scheme Private Healthcare including Optical & Dental Life Assurance etc. LOCATION: Midlands and Southern England COMMUTABLE LOCATIONS: Birmingham, Coventry, Slough, Luton, Northampton, Milton Keynes, Oxford, Cambridge, Rugby, Hertford, Windsor, Reading, Solihull, Peterborough - or anywhere in between. JOB DESCRIPTION: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology You will be our main Field Service Engineer for the Midlands and the South. This job consists of regularly spending time away, both in the UK and occasionally in Europe for a whole week at a time (up to 40-50% of time spent away in hotels). We will train you extensively from Day 1, on our products, systems, IT, procedures, applications, and customers. This is an on-site role, immersing yourself with key customers, their visions, needs and aspirations. KEY RESPONSIBILITIES: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology As our Technical Service Engineer, you will: Become the service subject Matter Expert for our customers. Perform remote support and diagnostics. Manage the escalation flow to ensure timely customer follow-up until issue is resolved. Ensure Preventative Maintenance Procedures, intervals, and schedules are correct and complete. Identify / forecast spare parts requirements Utilise D365 Service Reports, RMAs & monthly KPI reports. Handle all service calls timely and professionally. Communicate with customer, R&D, Customer Service, Product Management, Manufacturing and Sales, ensuring superior customer satisfaction. Provide 24/7 remote and on-site service on a rotating model. PERSON SPECIFICATION: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology You will have: Technical background (electrical, mechanical, IT), within complex machinery, in an industry such as: Heavy Engineering, Life Sciences, Medical Equipment, Mining, Automation, Robotics, Shipbuilding, Marine, Drilling, Biotechnology (or similar). Either a technical Degree, HNC, HND, or time-served professional experience equivalent. Strong customer-centric / customer-facing pedigree. Creative problem-solving mindset, driven by the motivation to assist customers, sales & service personnel, to overcome obstacles and challenges. Experience of Microsoft 365 or equivalent, Active directory, and SQL databases (we provide relevant training). Experience of IP addressing, Remote Desktop Protocols, & Driver Support. Knowledge of Beckhoff Twin CAT, Elmo Studio, Vision Systems, and Barcode Reading. Capability of working reliably / resiliently. NB : This job requires exerting up to 50 pounds of force occasionally and / or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. OUR COMPANY: We are the fastest-growing division of a multinational branded R&D manufacturing Group. Our division has over 80 staff, across 12 countries. For the past 75 years we have innovatively developed, pioneered, built and created customer-led product solutions within the fields of Life Sciences, Medical Devices, Robotics, and Automation. We are culturally diverse, with a cooperative, down-to-earth environment. Not only do we offer a motivating working style, but also modern working conditions backed by a commitment to training and personal advancement. PROSPECTS: This position offers unrivalled training and development. This is an area where we deliver many resources, aiming to keep your skills fresh, and at the leading edge. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology, Medical Devices, Mining, Heavy Engineering, Scientific Instruments INTERESTED? Please click apply. You will receive an acknowledgment of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: JK18344, Wallace Hind Selection
Jan 12, 2026
Full time
Are you a Field Service Engineer looking to upgrade your career into a regional role which includes the Midlands, South, with some European travel? Due to our rapid expansion, an opportunity has arisen for a Technical Service Engineer / Scientific Support Engineer, to manage our state-of-the-art robotics solutions within the pharmaceutical and biotechnology markets. BASIC SALARY: £52,000 - £56,000 BENEFITS: Monthly £150 On-Call Allowance + £120 for additional call out Company Pension Scheme (minimum employee contribution of 4%, Company will pay 5% and match up to 8%) Performance Bonus 25 Days Annual Holiday (Plus Statutory Days) Group Income Protection Scheme Private Healthcare including Optical & Dental Life Assurance etc. LOCATION: Midlands and Southern England COMMUTABLE LOCATIONS: Birmingham, Coventry, Slough, Luton, Northampton, Milton Keynes, Oxford, Cambridge, Rugby, Hertford, Windsor, Reading, Solihull, Peterborough - or anywhere in between. JOB DESCRIPTION: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology You will be our main Field Service Engineer for the Midlands and the South. This job consists of regularly spending time away, both in the UK and occasionally in Europe for a whole week at a time (up to 40-50% of time spent away in hotels). We will train you extensively from Day 1, on our products, systems, IT, procedures, applications, and customers. This is an on-site role, immersing yourself with key customers, their visions, needs and aspirations. KEY RESPONSIBILITIES: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology As our Technical Service Engineer, you will: Become the service subject Matter Expert for our customers. Perform remote support and diagnostics. Manage the escalation flow to ensure timely customer follow-up until issue is resolved. Ensure Preventative Maintenance Procedures, intervals, and schedules are correct and complete. Identify / forecast spare parts requirements Utilise D365 Service Reports, RMAs & monthly KPI reports. Handle all service calls timely and professionally. Communicate with customer, R&D, Customer Service, Product Management, Manufacturing and Sales, ensuring superior customer satisfaction. Provide 24/7 remote and on-site service on a rotating model. PERSON SPECIFICATION: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology You will have: Technical background (electrical, mechanical, IT), within complex machinery, in an industry such as: Heavy Engineering, Life Sciences, Medical Equipment, Mining, Automation, Robotics, Shipbuilding, Marine, Drilling, Biotechnology (or similar). Either a technical Degree, HNC, HND, or time-served professional experience equivalent. Strong customer-centric / customer-facing pedigree. Creative problem-solving mindset, driven by the motivation to assist customers, sales & service personnel, to overcome obstacles and challenges. Experience of Microsoft 365 or equivalent, Active directory, and SQL databases (we provide relevant training). Experience of IP addressing, Remote Desktop Protocols, & Driver Support. Knowledge of Beckhoff Twin CAT, Elmo Studio, Vision Systems, and Barcode Reading. Capability of working reliably / resiliently. NB : This job requires exerting up to 50 pounds of force occasionally and / or negligible amount of force frequently or constantly to lift, carry, push, pull, or otherwise move objects. OUR COMPANY: We are the fastest-growing division of a multinational branded R&D manufacturing Group. Our division has over 80 staff, across 12 countries. For the past 75 years we have innovatively developed, pioneered, built and created customer-led product solutions within the fields of Life Sciences, Medical Devices, Robotics, and Automation. We are culturally diverse, with a cooperative, down-to-earth environment. Not only do we offer a motivating working style, but also modern working conditions backed by a commitment to training and personal advancement. PROSPECTS: This position offers unrivalled training and development. This is an area where we deliver many resources, aiming to keep your skills fresh, and at the leading edge. It is highly likely you will have worked in any of the following roles and/or markets, and worked with the following products and/or services: Technical Service Engineer, Technical Support Engineer - Robotics, Automation, Pharmaceutical, Life Sciences, Medical, Biotechnology, Medical Devices, Mining, Heavy Engineering, Scientific Instruments INTERESTED? Please click apply. You will receive an acknowledgment of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. Please Note: Wallace Hind Selection have been chosen as the retained recruitment partner of our client and therefore any direct applications to our client from candidates or agencies will be forwarded on to us direct. REF: JK18344, Wallace Hind Selection
Commercial Gas Engineer Are you looking for an opportunity to join a company where your input matters? Are you tired of not being paid for your travel time? Is it time for a change? If YES then keep reading. Benefits: Company Vehicle, Uniform and Tools Provided No On Call Requirement Established Portfolio Be heard in a business that puts your interests first Training and Upskilling Opportunities Door To Door Travel Pay The Role: Servicing, maintenance and repairs commercial gas boilers and plant rooms. Portfolio includes Schools, Distribution Centres and Fire Brigade Buildings. Monday to Friday (40 Hour Week) with Overtime Available! You: Commercial Gas Tickets Full UK Driving License Desire to deliver a top notch service! If this role sounds like the right move for you then send in your CV to Kieran.
Jan 12, 2026
Full time
Commercial Gas Engineer Are you looking for an opportunity to join a company where your input matters? Are you tired of not being paid for your travel time? Is it time for a change? If YES then keep reading. Benefits: Company Vehicle, Uniform and Tools Provided No On Call Requirement Established Portfolio Be heard in a business that puts your interests first Training and Upskilling Opportunities Door To Door Travel Pay The Role: Servicing, maintenance and repairs commercial gas boilers and plant rooms. Portfolio includes Schools, Distribution Centres and Fire Brigade Buildings. Monday to Friday (40 Hour Week) with Overtime Available! You: Commercial Gas Tickets Full UK Driving License Desire to deliver a top notch service! If this role sounds like the right move for you then send in your CV to Kieran.
Customer Solutions Specialist (Geotechnical Engineer) Customer Solutions Specialist (Geotechnical Engineer) About Us At Seequent, we help organisations to understand the underground, giving the confidence to make better decisions faster. We build world leading technology that is at the forefront of Earth sciences, transforming the way our customers work. Every day we help them develop critical mineral resources more sustainably, design and build better infrastructure, source renewable energy, and reduce their impact on the environment. We operate in 145+ countries while proudly maintaining headquarters in New Zealand. Role The role of Customer Solution Specialist (CSS) is dedicated to providing technical support, subject matter expertise (SME), and product advice and solutions to our regional sales teams and customers. The role may have a domain specialism. The role sits within the regional Customer Solutions team. The ideal candidate will bring proven technical and solution design skills gained within a complex technological solution sale based technology market. They must be 'customer facing' - able to interface with prospects and customers with charisma and presence to quickly get to the heart of the client's existing software environment, identify and propose solutions that will improve their business processes and ultimately, success. Present complex technical solutions with gravitas. Be able to "join the dots" between technology and the business benefit; recommend optimal solution designs whilst managing the customers' expectations to establish and maintain technical credibility. The successful candidate will need to possess the skills to communicate effectively with people from many different cultures, as well as with users where English is not their primary language. This will include in person and web delivered demonstrations and training of the full ecosystem of our products and services. The role will require the candidate to become proficient across multiple solutions in the Seequent suite, to be able to support across multiple segments in time, thus providing a true generalist technical sales /SME capability to the go to market (GTM) teams. Being hands on, task oriented and customer focused, this role is responsible for providing well rounded technical assistance backed up by great product knowledge, quick response times, analysis, problem solving and solution finding. Business acumen and the ability to support further growth in customer accounts is a core aspect of this role. Significant travel can be expected to ensure we retain a strong market orientation. This role is a key part of leveraging our fast expanding footprint in our growing region and an opportunity to be part of a great team, in a great company, with a great purpose. Our expectations of you Product Knowledge Become proficient as a generalist CSS across the Seequent product portfolio including Leapfrog, Central, OpenGround, GeoStudio, PLAXIS and other products or solutions as required. Learn from the customer how, what, where and why they are using our products or competing products and the problems that they are attempting to solve, then feed that information back to the appropriate teams within the business. Develop and share their own technical expertise to provide advisory support to customers, colleagues and peers, enabling them to be successful in meeting their objectives. Professional Capabilities Demonstrated ability to question, listen and analyze to establish the current and desired picture. Provides solutions appropriate to the client's needs and to improve their business results. Be responsive to customer technical queries providing timely and professional support. Be authentic; become a business partner and trusted advisor to clients, peers and prospective customers. Be a team player, working as part of the regional team to identify and progress opportunities within new and existing customers. Market development - setting up demonstrations, webinars and supplying product information to prospective customers. Be a CRM champion by ensuring the accurate maintenance of the client database which provides Segment and Product Management with vital market information relating to future business pipeline. Marketing and Business Goals Actively monitor customer satisfaction levels and work to improve outcomes and customer perceptions. Assist, facilitate and support all product upgrades, new releases and new products. Skills, knowledge and competencies required to be great at this role Experience in Finite Element Analysis (FEA), Finite Element Modelling (FEM), Numerical Modelling. Experience ideally in ground investigation, environmental geology, geotechnical engineering, civil or environmental engineering consultancy or related industry. Teritary qualification in geotechnical engineering, geology, hydrogeology, earth sciences, or a closely related discipline. Operational experience in civil or environmental engineering infrastructure construction projects an advantage. Experience using, developing, or testing commercial software in fields of GIS, geospatial, 3D modelling, geoscience, numerical modelling or data management, an advantage. Technical orientation and natural curiosity for how software works and a passion for being regarded as an expert user and technical guru. Relationship building abilities. Demonstrable ability to support sales with technical information and insight, advice, demonstrations, solution architecting, best practice, innovative ideas etc during pre sales phase to ensure we are crafting a winning solution for the opportunity that gains mindshare and credibility. Demonstrable ability to confidently provide pre sales technical and solution support to the sales teams, and lead and own the technical aspects of prospect and customer engagements. Keeps sales teams and management updated proactively on progress of all solutions, pre sales, and post sales. Be able to demonstrate and train customers across the software solution set, with style, proficiency and knowledge in C level and technical audience customer meetings. Confident oral and written communication skills in English (other European Languages - Italian, German would be advantageous). Our Commitment to Equity, Diversity, and Inclusion At Seequent, we champion the uniqueness of each individual. Our commitment to inclusiveness, equity, and accessibility is fundamental to who we are. If you require accommodation during our recruitment process, please let our Talent Acquisition team know. We are here to ensure a fair opportunity for all. Research underscores that some individuals, especially women and underrepresented groups, may hesitate to apply for roles if they don't meet every requirement. Please don't count yourself out if you don't tick every box. We are committed to hiring a diverse team and encourage individuals of all background and abilities to apply. Thank you for considering us as your potential employer; we're excited to see what you can bring to our team! Benefits of being a Seequenteer and why you'll love being on our team Our people - Working at Seequent means becoming part of a community of collaborative innovators with insatiable curiosity and a passion to make a difference. Seequenteers are experts at what they do, visionaries with bold ideas for the future, and driven by a desire to make meaningful change. Our culture - At Seequent you'll be encouraged to Find a Better Way, Think Customer, Collaborate Enthusiastically, Exceed Expectations and Take Ownership, no matter what role you're in. Our values define a culture of open mindedness, connected teams despite geographical distance, transparent communication, and leadership at any level, where everyone is welcome as their authentic self. Our offices - Seequent operates from offices all over the world; as part of the Bentley Systems family. Our office hubs are fueled by barista crafted coffee, games, table tennis, Lego, online trivia battles, and regular office team events. We like to celebrate our wins with cake too, lots of cake. Benefits - Competitive salary, flexible working, a paid day each year to volunteer, an employee share purchase plan in most locations, rewards & recognition program, continuous learning and career growth opportunities, internal engagement events, culture & wellbeing program, personal support resources. Additional benefits are unique to each location Seequent resides in. How to apply If this sounds like the role for you, apply today with a covering letter and CV.
Jan 12, 2026
Full time
Customer Solutions Specialist (Geotechnical Engineer) Customer Solutions Specialist (Geotechnical Engineer) About Us At Seequent, we help organisations to understand the underground, giving the confidence to make better decisions faster. We build world leading technology that is at the forefront of Earth sciences, transforming the way our customers work. Every day we help them develop critical mineral resources more sustainably, design and build better infrastructure, source renewable energy, and reduce their impact on the environment. We operate in 145+ countries while proudly maintaining headquarters in New Zealand. Role The role of Customer Solution Specialist (CSS) is dedicated to providing technical support, subject matter expertise (SME), and product advice and solutions to our regional sales teams and customers. The role may have a domain specialism. The role sits within the regional Customer Solutions team. The ideal candidate will bring proven technical and solution design skills gained within a complex technological solution sale based technology market. They must be 'customer facing' - able to interface with prospects and customers with charisma and presence to quickly get to the heart of the client's existing software environment, identify and propose solutions that will improve their business processes and ultimately, success. Present complex technical solutions with gravitas. Be able to "join the dots" between technology and the business benefit; recommend optimal solution designs whilst managing the customers' expectations to establish and maintain technical credibility. The successful candidate will need to possess the skills to communicate effectively with people from many different cultures, as well as with users where English is not their primary language. This will include in person and web delivered demonstrations and training of the full ecosystem of our products and services. The role will require the candidate to become proficient across multiple solutions in the Seequent suite, to be able to support across multiple segments in time, thus providing a true generalist technical sales /SME capability to the go to market (GTM) teams. Being hands on, task oriented and customer focused, this role is responsible for providing well rounded technical assistance backed up by great product knowledge, quick response times, analysis, problem solving and solution finding. Business acumen and the ability to support further growth in customer accounts is a core aspect of this role. Significant travel can be expected to ensure we retain a strong market orientation. This role is a key part of leveraging our fast expanding footprint in our growing region and an opportunity to be part of a great team, in a great company, with a great purpose. Our expectations of you Product Knowledge Become proficient as a generalist CSS across the Seequent product portfolio including Leapfrog, Central, OpenGround, GeoStudio, PLAXIS and other products or solutions as required. Learn from the customer how, what, where and why they are using our products or competing products and the problems that they are attempting to solve, then feed that information back to the appropriate teams within the business. Develop and share their own technical expertise to provide advisory support to customers, colleagues and peers, enabling them to be successful in meeting their objectives. Professional Capabilities Demonstrated ability to question, listen and analyze to establish the current and desired picture. Provides solutions appropriate to the client's needs and to improve their business results. Be responsive to customer technical queries providing timely and professional support. Be authentic; become a business partner and trusted advisor to clients, peers and prospective customers. Be a team player, working as part of the regional team to identify and progress opportunities within new and existing customers. Market development - setting up demonstrations, webinars and supplying product information to prospective customers. Be a CRM champion by ensuring the accurate maintenance of the client database which provides Segment and Product Management with vital market information relating to future business pipeline. Marketing and Business Goals Actively monitor customer satisfaction levels and work to improve outcomes and customer perceptions. Assist, facilitate and support all product upgrades, new releases and new products. Skills, knowledge and competencies required to be great at this role Experience in Finite Element Analysis (FEA), Finite Element Modelling (FEM), Numerical Modelling. Experience ideally in ground investigation, environmental geology, geotechnical engineering, civil or environmental engineering consultancy or related industry. Teritary qualification in geotechnical engineering, geology, hydrogeology, earth sciences, or a closely related discipline. Operational experience in civil or environmental engineering infrastructure construction projects an advantage. Experience using, developing, or testing commercial software in fields of GIS, geospatial, 3D modelling, geoscience, numerical modelling or data management, an advantage. Technical orientation and natural curiosity for how software works and a passion for being regarded as an expert user and technical guru. Relationship building abilities. Demonstrable ability to support sales with technical information and insight, advice, demonstrations, solution architecting, best practice, innovative ideas etc during pre sales phase to ensure we are crafting a winning solution for the opportunity that gains mindshare and credibility. Demonstrable ability to confidently provide pre sales technical and solution support to the sales teams, and lead and own the technical aspects of prospect and customer engagements. Keeps sales teams and management updated proactively on progress of all solutions, pre sales, and post sales. Be able to demonstrate and train customers across the software solution set, with style, proficiency and knowledge in C level and technical audience customer meetings. Confident oral and written communication skills in English (other European Languages - Italian, German would be advantageous). Our Commitment to Equity, Diversity, and Inclusion At Seequent, we champion the uniqueness of each individual. Our commitment to inclusiveness, equity, and accessibility is fundamental to who we are. If you require accommodation during our recruitment process, please let our Talent Acquisition team know. We are here to ensure a fair opportunity for all. Research underscores that some individuals, especially women and underrepresented groups, may hesitate to apply for roles if they don't meet every requirement. Please don't count yourself out if you don't tick every box. We are committed to hiring a diverse team and encourage individuals of all background and abilities to apply. Thank you for considering us as your potential employer; we're excited to see what you can bring to our team! Benefits of being a Seequenteer and why you'll love being on our team Our people - Working at Seequent means becoming part of a community of collaborative innovators with insatiable curiosity and a passion to make a difference. Seequenteers are experts at what they do, visionaries with bold ideas for the future, and driven by a desire to make meaningful change. Our culture - At Seequent you'll be encouraged to Find a Better Way, Think Customer, Collaborate Enthusiastically, Exceed Expectations and Take Ownership, no matter what role you're in. Our values define a culture of open mindedness, connected teams despite geographical distance, transparent communication, and leadership at any level, where everyone is welcome as their authentic self. Our offices - Seequent operates from offices all over the world; as part of the Bentley Systems family. Our office hubs are fueled by barista crafted coffee, games, table tennis, Lego, online trivia battles, and regular office team events. We like to celebrate our wins with cake too, lots of cake. Benefits - Competitive salary, flexible working, a paid day each year to volunteer, an employee share purchase plan in most locations, rewards & recognition program, continuous learning and career growth opportunities, internal engagement events, culture & wellbeing program, personal support resources. Additional benefits are unique to each location Seequent resides in. How to apply If this sounds like the role for you, apply today with a covering letter and CV.
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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled 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 skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
TXM Recruit are currently recruiting for a Maintenance Electrician to work for one of the UKs largest and leading FM companies supporting them on a contract in Moreton-In-Marsh The salary is £36,631/pa Monday Friday working 40-hour week Call out 1-in 4 (Monday to Friday, only for emergencies) after 40 hours As a static M&E Engineer, you ll be the first point of contact for Planned Preventative Maintenance (PPM), reactive works, and general building services across your allocated site. The work will be PPM and Building Services focused. The tasks could include lighting and power upgrades, circuit board repairs, emergency light testing, and other planned maintenance. You will also be asked to support with general plumbing and fabric work without the facility including minor repairs. Benefits Smartphone and PDA supplied. 25 days holiday + 8 BH Average of a 4% bonus Pension Scheme (5% or 6%) Life Assurance Funded Training 20% off gyms or fitness tests Up to 10% off B&Q trade point Requirements: 18th edition & Level 3 in Electrical Installations Plumbing knowledge Full UK driving license TXM Recruit is an equal opportunities employer. If you have any specific requirements or require assistance or reasonable adjustments to be made for you during the selection or application process due to disability or a long-term health condition, we will do our best to assist you.
Jan 12, 2026
Full time
TXM Recruit are currently recruiting for a Maintenance Electrician to work for one of the UKs largest and leading FM companies supporting them on a contract in Moreton-In-Marsh The salary is £36,631/pa Monday Friday working 40-hour week Call out 1-in 4 (Monday to Friday, only for emergencies) after 40 hours As a static M&E Engineer, you ll be the first point of contact for Planned Preventative Maintenance (PPM), reactive works, and general building services across your allocated site. The work will be PPM and Building Services focused. The tasks could include lighting and power upgrades, circuit board repairs, emergency light testing, and other planned maintenance. You will also be asked to support with general plumbing and fabric work without the facility including minor repairs. Benefits Smartphone and PDA supplied. 25 days holiday + 8 BH Average of a 4% bonus Pension Scheme (5% or 6%) Life Assurance Funded Training 20% off gyms or fitness tests Up to 10% off B&Q trade point Requirements: 18th edition & Level 3 in Electrical Installations Plumbing knowledge Full UK driving license TXM Recruit is an equal opportunities employer. If you have any specific requirements or require assistance or reasonable adjustments to be made for you during the selection or application process due to disability or a long-term health condition, we will do our best to assist you.
Job Title: Temporary Works Administrator Location: Plymouth Working Hours: 42.5 hours per week Monday Friday, 08 00 About the Role We are currently seeking a Temporary Works Administrator to join our clients team. Working as part of the design and engineering team, you will provide essential administrative support to Temporary Works Coordinators, ensuring the effective control, tracking, and filing of all Temporary Works documentation across the project. This is a key role within a live construction environment, requiring strong organisation, attention to detail, and the ability to work confidently with multiple stakeholders. Key Responsibilities Administration and maintenance of the Temporary Works Register Updating schedules of Temporary Works designs as they progress through approval stages Compiling completed Temporary Works Design Packs Submitting Design Packs for approval via the project Common Data Environment (CDE) Filing approved Temporary Works designs and permits within the project CDE Maintaining the Permit to Load and Permit to Dismantle registers Filing approved Temporary Works permits and associated documentation Managing scaffolding handover certificates and weekly inspection records from subcontractors Supporting the engineering team with general document control and administrative tasks as required Training and support will be provided where necessary About You Punctual with excellent communication skills and a professional approach Highly organised with strong attention to detail Able to prioritise workload and meet tight deadlines in a busy, multi-disciplinary environment Confident in building and maintaining effective working relationships at all levels Experience in an administrative or office-based role, ideally within construction or engineering Strong record-keeping and document control skills Proficient in Microsoft Excel and Word, and PDF editing software Familiarity with document management systems such as ProjectWise and CEMAR is advantageous An appreciation of programme and commercial controls would be beneficial Security and Eligibility Requirements BPSS security clearance is required due to the secure nature of the site and can take up to 8 weeks to complete Candidates must hold a valid passport from a NATO or MISWG member country Candidates must have resided in the UK continuously for the past 5 years What s on Offer Opportunity to work on a major, long-term infrastructure programme Stable working hours within a professional engineering environment Supportive team culture with development and training opportunities Exposure to high-profile temporary works processes within a regulated site If this might be of interest, please apply now and we will be in touch.
Jan 12, 2026
Contractor
Job Title: Temporary Works Administrator Location: Plymouth Working Hours: 42.5 hours per week Monday Friday, 08 00 About the Role We are currently seeking a Temporary Works Administrator to join our clients team. Working as part of the design and engineering team, you will provide essential administrative support to Temporary Works Coordinators, ensuring the effective control, tracking, and filing of all Temporary Works documentation across the project. This is a key role within a live construction environment, requiring strong organisation, attention to detail, and the ability to work confidently with multiple stakeholders. Key Responsibilities Administration and maintenance of the Temporary Works Register Updating schedules of Temporary Works designs as they progress through approval stages Compiling completed Temporary Works Design Packs Submitting Design Packs for approval via the project Common Data Environment (CDE) Filing approved Temporary Works designs and permits within the project CDE Maintaining the Permit to Load and Permit to Dismantle registers Filing approved Temporary Works permits and associated documentation Managing scaffolding handover certificates and weekly inspection records from subcontractors Supporting the engineering team with general document control and administrative tasks as required Training and support will be provided where necessary About You Punctual with excellent communication skills and a professional approach Highly organised with strong attention to detail Able to prioritise workload and meet tight deadlines in a busy, multi-disciplinary environment Confident in building and maintaining effective working relationships at all levels Experience in an administrative or office-based role, ideally within construction or engineering Strong record-keeping and document control skills Proficient in Microsoft Excel and Word, and PDF editing software Familiarity with document management systems such as ProjectWise and CEMAR is advantageous An appreciation of programme and commercial controls would be beneficial Security and Eligibility Requirements BPSS security clearance is required due to the secure nature of the site and can take up to 8 weeks to complete Candidates must hold a valid passport from a NATO or MISWG member country Candidates must have resided in the UK continuously for the past 5 years What s on Offer Opportunity to work on a major, long-term infrastructure programme Stable working hours within a professional engineering environment Supportive team culture with development and training opportunities Exposure to high-profile temporary works processes within a regulated site If this might be of interest, please apply now and we will be in touch.
Come and join one of the UKs largest independent providers in neuro and mental healthcare. We proudly employ over 4000+ people - no matter what your experience, we have jobs for everyone.This is an exciting opportunity for an estates and facilities professional, with a proven track record in delivering capital development programmes, to lead the ongoing development of an expanding healthcare portfolio and continue to deliver a high quality and inspiring environment for our service users and colleagues.This will be a hybrid role allowing the right candidate to work remotely from home or from our head office in London Waterloo, with a requirement to travel to sites frequently. The Head of Estates will be responsible for setting and delivering the long-term strategic plan, including but not limited to, the delivery of planned improvement programmes for preventative and cyclical maintenance, making sure they are delivered safely, on time and on budget. Main duties of the job Reporting to the Group Procurement and Property Director, the head of estates will be responsible for ensuring that all buildings, infrastructure, hard and soft facilities, capital equipment, vehicles and all supporting contracts are managed and maintained to ensure that all offices and residential service environments operate in a secure, safe and efficient manner.The role will also involve managing the regional property supervisors, roaming maintenance teams and overseeing the reactive property maintenance function. The successful candidate will be expected to scrutinise works underway across the estate whilst providing the necessary guidance to sites, reconcile and settle accounts and valuations, make sure all projects (redevelopment, refurbishment, maintenance and sustainability) meet the relevant regulations according to the specific service(s), as well as supporting the implementation, delivery, and supervision of maintenance contracts.With outstanding technical knowledge, including a degree level qualification in building surveying or a related technical subject, you will manage all contractors to ensure the delivery of outstanding work whilst keeping our service users and colleagues safe. The successful candidate will be a positive and natural collaborator, have excellent communication and stakeholder management skills, and be able to provide leadership and guidance to the group. About us Active Care Group are a pioneering national provider of complex care services, delivering pathways and better outcomes for people. We have a collaborative and holistic approach to care underpinned by proven clinical and therapeutic expertise. We specialise in supporting young people and adults with complex needs to make positive progress and lead happier, more independent lives. Job responsibilities What you'll be doing: Offering property expertise to the leadership team, ensuring they are regularly briefed on significant developments or risks, whilst producing business cases to support existing building development plans and new service development opportunities Participating in the business planning process, taking the lead in crafting pertinent business and strategic plans for the property function Overseeing the compliance and work standards of contractors and suppliers through regular monitoring and supervising the creation of risk assessments, method statements and pre-contract information Coordinating tender processes and administering contracts alongside procurement colleagues Collaborating with consultants to prepare and submit planning and building regulation applications, designs, and engineering solutions as required Leveraging expertise to address environmental concerns from a building and land management perspective Be responsible for managing the health, safety and environmental compliance across the group Manage the estates effectively in line with the business model, ensuring the maintenance of a well invested portfolio, with responsibility for the cost-effective management of all existing and future regional office leases Manage and deliver projects within budget whilst providing advice on the formulation of the group's annual budgets and capital investment programme What to look forward to: Birthday off Join the Active Learning Hub and benefit from a wide range of e learning and face to face training and development opportunities Free 24 hour confidential Employee Assistance Programme Helpline & App to support with legal, health, wellbeing, relationship and consumer advice Access to join a Medicash Health Plan for you and your family to save money on everyday health essentials - like going to the dentist or opticians We recognise outstanding Active Behaviours via the Active Awards programme Enhanced Sick & Maternity Pay benefits Refer a Friend Scheme and earn yourself up to £1000 by recommending someone you know and, of course, the support and guidance of our qualified clinical and business leadership teams so that you can really develop your career with Active Care Group Person Specification Experience Previous experience leading a property function Strong knowledge of current property legalisations and different types of construction Excellent communication and problem-solving skills Ability to work collaboratively with the wider organisation Experience working in a fast-paced environment Previous estates and facilities management experience with proven knowledge of building legislation and regulations Health & Safety qualifications - minimum IOSH health and safety in the workplace Good organisational, business risk and financial awareness Takes responsibility Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Jan 12, 2026
Full time
Come and join one of the UKs largest independent providers in neuro and mental healthcare. We proudly employ over 4000+ people - no matter what your experience, we have jobs for everyone.This is an exciting opportunity for an estates and facilities professional, with a proven track record in delivering capital development programmes, to lead the ongoing development of an expanding healthcare portfolio and continue to deliver a high quality and inspiring environment for our service users and colleagues.This will be a hybrid role allowing the right candidate to work remotely from home or from our head office in London Waterloo, with a requirement to travel to sites frequently. The Head of Estates will be responsible for setting and delivering the long-term strategic plan, including but not limited to, the delivery of planned improvement programmes for preventative and cyclical maintenance, making sure they are delivered safely, on time and on budget. Main duties of the job Reporting to the Group Procurement and Property Director, the head of estates will be responsible for ensuring that all buildings, infrastructure, hard and soft facilities, capital equipment, vehicles and all supporting contracts are managed and maintained to ensure that all offices and residential service environments operate in a secure, safe and efficient manner.The role will also involve managing the regional property supervisors, roaming maintenance teams and overseeing the reactive property maintenance function. The successful candidate will be expected to scrutinise works underway across the estate whilst providing the necessary guidance to sites, reconcile and settle accounts and valuations, make sure all projects (redevelopment, refurbishment, maintenance and sustainability) meet the relevant regulations according to the specific service(s), as well as supporting the implementation, delivery, and supervision of maintenance contracts.With outstanding technical knowledge, including a degree level qualification in building surveying or a related technical subject, you will manage all contractors to ensure the delivery of outstanding work whilst keeping our service users and colleagues safe. The successful candidate will be a positive and natural collaborator, have excellent communication and stakeholder management skills, and be able to provide leadership and guidance to the group. About us Active Care Group are a pioneering national provider of complex care services, delivering pathways and better outcomes for people. We have a collaborative and holistic approach to care underpinned by proven clinical and therapeutic expertise. We specialise in supporting young people and adults with complex needs to make positive progress and lead happier, more independent lives. Job responsibilities What you'll be doing: Offering property expertise to the leadership team, ensuring they are regularly briefed on significant developments or risks, whilst producing business cases to support existing building development plans and new service development opportunities Participating in the business planning process, taking the lead in crafting pertinent business and strategic plans for the property function Overseeing the compliance and work standards of contractors and suppliers through regular monitoring and supervising the creation of risk assessments, method statements and pre-contract information Coordinating tender processes and administering contracts alongside procurement colleagues Collaborating with consultants to prepare and submit planning and building regulation applications, designs, and engineering solutions as required Leveraging expertise to address environmental concerns from a building and land management perspective Be responsible for managing the health, safety and environmental compliance across the group Manage the estates effectively in line with the business model, ensuring the maintenance of a well invested portfolio, with responsibility for the cost-effective management of all existing and future regional office leases Manage and deliver projects within budget whilst providing advice on the formulation of the group's annual budgets and capital investment programme What to look forward to: Birthday off Join the Active Learning Hub and benefit from a wide range of e learning and face to face training and development opportunities Free 24 hour confidential Employee Assistance Programme Helpline & App to support with legal, health, wellbeing, relationship and consumer advice Access to join a Medicash Health Plan for you and your family to save money on everyday health essentials - like going to the dentist or opticians We recognise outstanding Active Behaviours via the Active Awards programme Enhanced Sick & Maternity Pay benefits Refer a Friend Scheme and earn yourself up to £1000 by recommending someone you know and, of course, the support and guidance of our qualified clinical and business leadership teams so that you can really develop your career with Active Care Group Person Specification Experience Previous experience leading a property function Strong knowledge of current property legalisations and different types of construction Excellent communication and problem-solving skills Ability to work collaboratively with the wider organisation Experience working in a fast-paced environment Previous estates and facilities management experience with proven knowledge of building legislation and regulations Health & Safety qualifications - minimum IOSH health and safety in the workplace Good organisational, business risk and financial awareness Takes responsibility Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
Jan 12, 2026
Full time
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
Assurance and Compliance Manager Location - NW London Duration - 3-6 months initially Ir35 - Inside IR35 (Must use an umbrella company) We are seeking an experienced Assurance and Compliance Manager to play a pivotal leadership role within a large, complex estates and facilities environment. Reporting to the Associate Director of Estates and Facilities, the post holder will lead assurance and engineering compliance activities, ensuring the organisation's built environment is safe, legally compliant, and operationally resilient. The role is responsible for the development, delivery, and continuous improvement of statutory and regulatory compliance frameworks across mechanical, electrical, and building fabric systems. It combines strategic leadership with operational oversight of compliance, health and safety, asset management, and long-term maintenance planning. This is an excellent opportunity for a senior estates professional who thrives in a complex setting and is committed to high standards of safety, quality, and continuous improvement. Person Specification Essential Relevant degree in engineering, construction, or building services (or equivalent extensive experience). Professional Building Services Engineering qualification. Chartered Engineer status (CEng). Significant experience managing statutory compliance and building services engineering across a large, complex estate (eg campus, healthcare, infrastructure, or similar). Strong working knowledge of health and safety legislation and statutory compliance requirements. Proven experience of leading multidisciplinary teams, managing budgets, and overseeing contracts. Excellent communication, leadership, and stakeholder engagement skills. Strong IT skills, including experience using estates or maintenance management systems. Desirable Experience within a regulated, complex, or public-facing organisation. Experience reviewing complex engineering designs and leading organisational change. Key Responsibilities Compliance, Assurance and Strategy Lead the planning and delivery of a comprehensive compliance and assurance programme across the built estate. Ensure full compliance with all relevant legislation, regulations, codes of practice, and internal policies, including (but not limited to) legionella, asbestos, gas safety, electrical systems, fire safety, and mechanical infrastructure. Provide strategic and technical advice on building maintenance, life cycle planning, and engineering systems performance. Drive continuous improvement in compliance, resilience, and assurance practices. Health, Safety and Risk Management Lead health and safety responsibilities across Estates and Facilities in collaboration with other senior managers. Champion risk management through inspections, audits, risk assessments, and statutory compliance reviews. Act as a key contributor to emergency planning and incident response arrangements. Engineering and Operational Delivery Oversee statutory maintenance and compliance across engineering systems, including HVAC, electrical systems (including HV), lifts, emergency lighting, drainage, and specialist systems. Ensure engineering works meet legal, technical, and service-level standards while minimising disruption to building users. Lead Long-Term Maintenance and Stock Condition programmes, supporting effective asset management and financial control. Advise on major plant replacement and improvement projects, including energy performance and sustainability initiatives. Leadership and People Management Lead, manage, and develop the Assurance and Engineering team, promoting a culture of accountability, professionalism, and customer-focused service. Oversee recruitment, performance management, training, and wider people management responsibilities. Stakeholder Engagement Engage proactively with internal stakeholders to understand service requirements and ensure clear communication on compliance and operational matters. Contribute to Estates and Facilities leadership forums and decision-making processes. Financial and Contract Management Manage budgets associated with compliance and assurance activities, monitoring expenditure and identifying opportunities for efficiencies. Support procurement and contract management to ensure value for money and service quality. Systems, Reporting and Continuous Improvement Ensure accurate statutory records, asset registers, condition surveys, and compliance documentation are maintained. Lead the effective use and development of estates and maintenance management systems. Produce performance reports, KPIs, and compliance evidence. Maintain up-to-date knowledge of legislation, industry best practice, and emerging technologies, with a focus on sustainability and energy efficiency.
Jan 12, 2026
Contractor
Assurance and Compliance Manager Location - NW London Duration - 3-6 months initially Ir35 - Inside IR35 (Must use an umbrella company) We are seeking an experienced Assurance and Compliance Manager to play a pivotal leadership role within a large, complex estates and facilities environment. Reporting to the Associate Director of Estates and Facilities, the post holder will lead assurance and engineering compliance activities, ensuring the organisation's built environment is safe, legally compliant, and operationally resilient. The role is responsible for the development, delivery, and continuous improvement of statutory and regulatory compliance frameworks across mechanical, electrical, and building fabric systems. It combines strategic leadership with operational oversight of compliance, health and safety, asset management, and long-term maintenance planning. This is an excellent opportunity for a senior estates professional who thrives in a complex setting and is committed to high standards of safety, quality, and continuous improvement. Person Specification Essential Relevant degree in engineering, construction, or building services (or equivalent extensive experience). Professional Building Services Engineering qualification. Chartered Engineer status (CEng). Significant experience managing statutory compliance and building services engineering across a large, complex estate (eg campus, healthcare, infrastructure, or similar). Strong working knowledge of health and safety legislation and statutory compliance requirements. Proven experience of leading multidisciplinary teams, managing budgets, and overseeing contracts. Excellent communication, leadership, and stakeholder engagement skills. Strong IT skills, including experience using estates or maintenance management systems. Desirable Experience within a regulated, complex, or public-facing organisation. Experience reviewing complex engineering designs and leading organisational change. Key Responsibilities Compliance, Assurance and Strategy Lead the planning and delivery of a comprehensive compliance and assurance programme across the built estate. Ensure full compliance with all relevant legislation, regulations, codes of practice, and internal policies, including (but not limited to) legionella, asbestos, gas safety, electrical systems, fire safety, and mechanical infrastructure. Provide strategic and technical advice on building maintenance, life cycle planning, and engineering systems performance. Drive continuous improvement in compliance, resilience, and assurance practices. Health, Safety and Risk Management Lead health and safety responsibilities across Estates and Facilities in collaboration with other senior managers. Champion risk management through inspections, audits, risk assessments, and statutory compliance reviews. Act as a key contributor to emergency planning and incident response arrangements. Engineering and Operational Delivery Oversee statutory maintenance and compliance across engineering systems, including HVAC, electrical systems (including HV), lifts, emergency lighting, drainage, and specialist systems. Ensure engineering works meet legal, technical, and service-level standards while minimising disruption to building users. Lead Long-Term Maintenance and Stock Condition programmes, supporting effective asset management and financial control. Advise on major plant replacement and improvement projects, including energy performance and sustainability initiatives. Leadership and People Management Lead, manage, and develop the Assurance and Engineering team, promoting a culture of accountability, professionalism, and customer-focused service. Oversee recruitment, performance management, training, and wider people management responsibilities. Stakeholder Engagement Engage proactively with internal stakeholders to understand service requirements and ensure clear communication on compliance and operational matters. Contribute to Estates and Facilities leadership forums and decision-making processes. Financial and Contract Management Manage budgets associated with compliance and assurance activities, monitoring expenditure and identifying opportunities for efficiencies. Support procurement and contract management to ensure value for money and service quality. Systems, Reporting and Continuous Improvement Ensure accurate statutory records, asset registers, condition surveys, and compliance documentation are maintained. Lead the effective use and development of estates and maintenance management systems. Produce performance reports, KPIs, and compliance evidence. Maintain up-to-date knowledge of legislation, industry best practice, and emerging technologies, with a focus on sustainability and energy efficiency.
