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

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

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

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

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

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

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

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

Senior Technical Engineering Manager / Technical Director A leading developer and operator of advanced, AI-focused data centres is expanding its technical operations function and seeking a Senior Technical Engineering Manager to play a key role in the leadership of its Data Centre estate. With a hyperscale-inspired, industrial-scale platform, the business provides cutting-edge, sustainable and highly secure environments for some of the world’s most demanding compute requirements. The Operations function owns the 24/7 live environment, ensuring the resilience of all critical infrastructure — from power and cooling to fire systems, cabling, maintenance, compliance and capacity planning. Working closely with every function, the team drives reliability, governance, customer confidence and 100% uptime. We’re now looking for a senior technical leader to help shape the next phase of operational excellence. The Role As Senior Technical Engineering Manager, you will be the principal technical authority for all mechanical and electrical systems across the data centre estate. Supporting the Operations Director, you will provide leadership, governance and strategic direction across Data Centre Operations and the Integrated Facilities Management (IFM) partner. This role will see you: • Safeguard the resilience, reliability and efficiency of critical infrastructure supporting 24/7/365 operations, • Provide strong technical leadership across multi-disciplinary teams, driving capability, performance and continuous improvement, • Partner with the outsourced engineering provider to deliver best-in-class uptime and engineering standards, • Oversee capital and operational budgets, ensuring value, lifecycle planning and cost optimisation, • Help shape the operational strategy across multiple facilities, aligned with future growth and industry best practice, • Lead operational reporting, SLA/KPI performance, metrics and incident management, • Ensure compliance, quality, safety and operational readiness at all times, • Act as a senior escalation point during major incidents, ensuring calm, clarity and customer assurance, • Contribute to strategic projects, risk mitigation and service improvement initiatives This is a senior, visible position within a growing platform, with significant influence over operational direction and engineering excellence. Who We’re Looking For You’ll thrive here if you bring: • Strong Mechanical & Electrical qualifications and training, • Senior leadership experience within Data Centre M&E environments, • Strong background in data centre operations, IFM/outsourcing or large-scale technical service, • Experience supporting major enterprise or hyperscale clients, • Proven success driving operational excellence and customer satisfaction, • P&L awareness and strong budget management capability, • Deep understanding of critical infrastructure across multiple sites, • A collaborative, customer-focused leadership style, • Strong organisational, communication and stakeholder management skills If you’re passionate about engineering quality, operational resilience and continuous improvement, this is a role where you can have real impact. What’s on Offer • Work at the forefront of AI and high-performance computing infrastructure, • A growing platform with meaningful opportunities for development, • Collaborative, supportive culture with a strong focus on excellence, • Private Medical (including dental & optical), Pension, Life Assurance & Income Protection, • Enhanced parental leave, • EV salary sacrifice scheme, volunteering days, mental health support and more, • 25 days annual leave + UK bank holidays If interested click to apply or drop an email to

Electrical CAD Designer Department: Engineering Location : Hemel Hempstead (working 2-3 days from the office) Join Our Team at BPA: Officially Where it’s a Great Place to Work! At BPA, we’re proud to be jointly owned by BP and Shell - two of the world’s leading oil majors - which gives us the strength and stability of industry giants. Yet, with a close-knit team of around 180 professionals across the UK, we maintain a genuinely friendly, supportive, and collaborative environment. Our size means every individual is valued, and we work together as one team -sharing knowledge, supporting each other, and celebrating our successes collectively. This whole-team focus allows us to deliver industry-leading hydrocarbon transport and storage solutions, while providing the personal touch that only a united team can offer! Our People: What sets BPA apart is our people. We are committed to the development and growth of everyone in our team. Our leadership are invested in ongoing training, professional qualifications, and mentoring to help staff reach their full potential. For example, we offer regular technical training, support for gaining industry-recognised certifications, and opportunities to take on new responsibilities or lead projects. By encouraging continuous learning and providing clear pathways for progression, we ensure that everyone can enjoy a rewarding career and, together, deliver outstanding technical advice and services to our clients. What's the Job About? We are seeking an experienced Electrical CAD Designer to join our Drawing Office team, producing accurate and compliant engineering documentation for multidisciplinary projects in line with BPA standards and industry best practices. What You'll Be Doing: • Create detailed electrical schematics, wiring diagrams, single-line diagrams and panel layouts. This includes LV and HV single-line diagrams, starter circuits for various pump types, cable block diagrams, cable schedules, cable routing layouts, and termination schedules., • Design power distribution, lighting systems, control panels and circuit layouts using AutoCAD., • Review and interpret drawing requirements from Project Engineers to align with project objectives., • Create preliminary sketches, flow sheets, layouts, material take-offs, schedules, and detailed drawings with supporting documentation., • Verify design criteria and prepare detailed, accurate designs including sizing requirements and essential information for drawings., • Conduct site visits, take precise measurements, and perform surveys to support design accuracy., • Estimate working hours for drawing production and manage time effectively to stay within project budgets., • Maintain and update Site Master drawings post-project, ensuring accurate records of site surveys., • Deliver finished designs in line with industry standards, latest electrical design codes, and best practice., • Critically review engineers’ designs, applying expertise and safety considerations to optimize solutions. What You’ll Need: • Demonstrated experience preparing accurate electrical drawings and design documentation, ideally for oil, gas, or related industries such as water, nuclear., • Proven ability to produce:, • LV and HV single-line diagrams, • Starter circuits for different pump types, • Cable block diagrams and cable schedules, • Cable routing and termination schedules, • Designs compliant with the latest electrical design codes and standards (e.g., BS7671, IEC standards), • Skilled in CAD software, ideally AutoCAD, Vault, 3D Plant, and Point Cloud, to produce high-quality technical drawings., • Confident user of MS Word and Excel to support project documentation and reporting., • Knowledgeable in site surveying, data collection techniques, and comfortable working with Ordnance Survey maps., • Full, valid UK driving licence for site visits and project travel. Salary- £36,000-£42,000 Benefits: • Ongoing training and development opportunities to support your professional growth, • Generous pension (up to 12% employer contribution, 2% minimum employee), • Annual bonus scheme (up to 12% of annual salary) with an extra 6% possible for standout performance – that’s 18%!, • Life insurance (4x annual salary), • 28 days holiday + 8 days bank holidays plus the ability to buy/sell holidays, • Family friendly policies from day 1 of employment, • An award winning Private Medical Insurance scheme with additional perks, • Employee assistance support scheme, • Various well-being initiatives Join us and become a vital part of a team, Keeping the UK Moving 24/7/365! Diversity & Inclusion We know that diverse teams drive innovation and excellence. Research shows that people from underrepresented groups may hesitate to apply if they don’t meet every requirement. At BPA, we are dedicated to building a diverse and inclusive workplace. So, if you're excited about this role but your experience doesn't align perfectly with every detail in the job description, we encourage you to still apply. You may be just the right candidate for this or other roles. Interviews will resume in early January.

⚡ FPGA Engineering Manager 📍 Electronic Engineering - Rapid Growth Phase Our clients Electronic Engineering function is expanding fast, and we're searching for an exceptional FPGA Engineering Manager to lead a high-performing team building cutting-edge FPGA-based solutions. This is a key leadership role for someone who pairs deep FPGA technical expertise with the ability to mentor, inspire, and drive delivery at scale. 🔹 What You'll Lead Leadership & Management * Mentor and grow a team of FPGA + digital design engineers. * Set clear goals, drive performance, and foster technical excellence. * Partner with systems, software, hardware, and verification teams. * Recruit and develop top-tier engineering talent. * Champion best practices in design, verification, and documentation. Technical Ownership * Architect and deliver high-performance, low-latency FPGA solutions. * Provide direction across RTL (VHDL/Verilog/SystemVerilog), simulation, timing closure, and validation. * Define design standards, IP reuse strategies, and verification methodologies. * Ensure designs meet performance, power, area, and reliability targets. * Advise on FPGA technology roadmaps across major vendors. Project Delivery * Own FPGA development from concept to production. * Lead planning, estimation, and scheduling of FPGA deliverables. * Identify risks early and drive mitigation strategies. * Collaborate with program management to ensure on-time, high-quality delivery. 🔹 What You Bring * BS/MS/PhD in Electronic/Computer Engineering or similar. * Extensive FPGA/digital hardware design experience, including a great amount of leadership experience. * Proven success delivering complex FPGA systems end-to-end. * Deep expertise in RTL, synthesis, simulation, and timing analysis. * Strong foundation in DSP, high-speed interfaces, control logic, and image processing. * Great understanding of hardware-software co-design & embedded integration. * Strong knowledge of FPGA toolchains and verification methodologies. * Experience in data center, telecom, aerospace/defense, or HPC domains. * Exposure to hardware security, functional safety, or DO-254 is a plus. * Strong coding/scripting and system architecture skills. * Excellent communication, collaboration, and leadership presence. 🔹 Personal Qualities * Strategic thinker with hands-on technical depth. * Inspires confidence across teams and leadership. * Thrives in fast-paced, high-ambiguity environments. * Passionate mentor and continuous learner. * Balances innovation with disciplined execution. What We Offer * Company Bonus * Pension: Total contribution (employer + employee) of up to 14%. * Flexible Working * Enhanced Parental Leave * Facilities: Excellent site amenities, including subsidised meals, free parking, and more. For more details on this role and our fantastic client, please reach out to me! Desired Skills and Experience Management, Leadership, FPGA, Firmware, Technical Ownership, Project Delivery, Electronics, Digital Design, Hardware, Design, Verification, RTL, Digital signal processing, DSP, Innovation.

The Company This is a rare opportunity to join a food brand that are standout leaders in their category with a loyal consumer following. They are ambitious and are driving company growth through investing in R&D / Innovation to stay ahead of their competitors. They have created a new role for an experienced R&D professional who can help them push the boundaries of innovation. Site based role with hybrid / WFH flexibility. The Role You’ll be a key member of the Product team, reporting to the Innovation Director, and shaping this new role to unlock the potential of the brand’s manufacturing capabilities, finding creative solutions that can really drive innovation. You’ll collaborate with the rest of the innovation team as well as cross functionally with manufacturing and engineering teams to build a deep understanding of current equipment and production capabilities. Using this insight, you’ll be able to develop new processes that give rise to new / different products that align with the brand values and business ambition. With the support of the product launch team, you will conduct trials to assess feasibility / scalability of new processes and recipes as well as supporting with the commissioning of new equipment. You’ll ensure that all new processes are robust and reproducible as well as being commercially viable. As this is a new role, you’ll have the freedom to shape the approach, processes and tools whilst bringing people along on the journey to ensure collaboration and alignment across the business. The Person You’ll be an experienced R&D Process Engineer with a Degree or Masters in Food Engineering, Chemical Engineering or related field. Over your career you will have gained extensive food manufacturing knowledge across a number of different product sectors. You will know how to build an in-depth understanding of process capability and have implemented changes that have helped deliver new and differentiated products. This role will have to make a big impact in the business so you’ll need to be a self-starter who has heaps of technical curiosity, an analytical mindset, love asking ‘why’ and be an amazing problem solver. Your happy place will be in the factory figuring out what works, what can be improved, what capabilities can be stretched so that fabulous new products can be created. You thrive working cross-functionally, can influence and inspire others, and are excited by the chance to make this role your own. If you flourish in a fast-paced, innovation driven business where ideas become reality then do get in touch. Either apply or call Dhrutee for a confidential chat. Tel: 0345 2600 737 / 07700 137 110 for a confidential chat. Ref: L6931 Due to the large number of applications our opportunities attract, it sometimes takes us time to thoroughly review and consider them all. We endeavour to respond to every application within 5 working days, however if you have not heard from us within this timeframe, we are sorry to say your application for the role has not been successful. To support you in showcasing your best self, we make sure that any necessary accommodations, whether physical or non-physical, are provided to assist you throughout the job application and interview process. Also, please note that we are only able to accept and respond to applications from candidates with eligibility to work in the UK and those who hold valid work visas.

! Location: Onsite within Hertfordshire Start date: ASAP Type of position: Permanent Job Description Planet Pharma are working with premier life sciences service provider that supports pharmaceutical and biotechnology companies across the entire drug development cycle. The organization offers a broad spectrum of services spanning drug discovery, preclinical research, clinical development, and commercial manufacturing. Its expertise covers multiple therapeutic modalities, including small molecules, biologics, and cell and gene therapies. With capabilities in chemistry, biology, pharmacology, toxicology, and analytical sciences, it provides integrated solutions that help partners accelerate innovation and bring therapies to market more efficiently. Beyond early‑stage research, it also delivers contract development and manufacturing services, ensuring continuity from laboratory to large‑scale production. By combining scientific depth with advanced technology platforms, the company positions itself as a trusted partner for global pharmaceutical development, enabling clients to reduce risk, optimize timelines, and enhance the quality of their products. Job description: • Carry out corrective and preventive instrumentation maintenance tasks generated through the Computerized Maintenance Management System., • Respond promptly to emergency breakdowns to restore functionality., • Ensure all preventive maintenance activities are completed according to schedule., • Identify and propose improvements to maintenance plans, collaborating with the Engineering Workshop Supervisor to keep PM plans accurate, relevant, and compliant., • Maintain documentation of all maintenance activities to GxP standards, ensuring both paper records and CMMS entries are complete and accurate, with clear reporting., • Contribute to small projects as needed, including design, installation, commissioning, or modifications of minor systems., • Continuously seek innovative, cost‑effective methods to perform work without compromising safety or quality., • Monitor and maintain adequate stock levels of materials, equipment, and spare parts; highlight shortages to enable timely restocking., • Execute all tasks to the highest safety standards, proactively addressing hazards and risks, and escalating issues to management for immediate action., • Communicate effectively with all stakeholders impacted by maintenance activities, minimizing disruption where possible and keeping them informed of progress and expected completion timelines. Essential Requirements: • Post apprenticeship experiences as an Instrumentation/Controls Multi Skilled Technician City and Guilds accredited or equivalent recognised formal qualification in core engineering discipline/secondary engineering discipline., • Broad based knowledge and interest in mechanical, systems and maintenance., • Understanding of GxP principals. Desirable Requirements: • GMP manufacturing equipment., • Recognised formal qualification in secondary control discipline or equivalent experience in Control Systems., • Knowledge of Boiler Operations (gas) and Water Systems covering compliance with L8 Regulations Cooling Towers., • Knowledge of high integrity PCS and PLC programming If this role isn’t suitable for you, please let us know if you can refer anyone – any recommendations are much appreciated! Planet Pharma offers a competitive referral scheme so you will be rewarded for your help! About Planet Pharma Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head-quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering. Our specialist knowledge and close relationships with our clients and the wider industry really makes us unique in our field. Just recently we were recognized by FORBES as the 17th best professional staffing firm, and have won multiple awards from industry accredited bodies for our commitment to excellence and service delivery. We have extensive functional expertise including: Regulatory Affairs, Pharmacovigilance, QA, QC, Submissions experts, Clinical development, Quality, Biostatistics, and Medical Affairs / Writing. We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Company description: Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees globally, across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers. There are no limits to where you can take your career. Job description: Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. Based at our Luton manufacturing plant youll do just that. Established in 1993, GKN Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing 787, Dreamliner, Airbus A320, AgustaWestland, AW101, Eurofighter Typhoon and Lockheed, Martin F-22 Raptor. Our customers include Boeing, Airbus, Lockheed Martin, Bell Helicopters, Textron, BAE Systems, Pratt & Whitney, Leonardo. Our Luton site is home to 370+ employees and onsite facilities including onsite parking, food hub and vending machines. The Luton Engineering & Technology team is focussed on developing product and manufacturing process technology related to aircraft ice protection systems, transparencies, functional coatings, and specialist structures for both civil and defence applications. Were looking for a Senior Research Engineer, with a strong mechanical engineering background , to join our materials development team to support the development of next generation composite aero structures, ice protection and transparency products. As a Senior Research Engineer, youll bring your specialist knowledge in Material science and FEA simulation to deliver high-impact research and development across Technology Readiness Levels (TRL) 17. Youll be responsible for ensuring that all research outputs are technically robust, innovative, and aligned with our broader engineering and sustainability goals. You will also be responsible for providing specialist support to existing programmes within your field of expertise, helping to resolve manufacturing issues and supporting continuous improvement efforts. You will have a proven track record of leading and delivering technical work, including experience of working with formal project management processes including budgeting, schedule and risk management. With strong communication skills, youll be confident working with a broad range of internal and external stakeholders, including non-technical audiences. You're likely building a professional network and are passionate about keeping pace with developments in your field. As this is a research role we are looking for a hands on innovative thinker, your work should push the boundaries of existing technologies and applications. Job Responsibilities Be responsible for the planning and technical delivery of allocated projects and work packages ensuring the research objectives have been satisfied. Plan, coordinate and lead any necessary 'hands on' development test work and trials that are required to meet delivery objectives ensuring all relevant safe systems of work are satisfied. Support or lead the design of external work packages to be carried out by third parties in order to meet project research objectives. You may have line management responsibilities, depending on individual competencies and team structure, though this is not a core requirement. Be responsible for raising and issuing high quality and detailed technical documentation, and review and approval of reports raised by others. Seek to understand and contribute to the strategic direction of the target products or manufacturing process technologies being developed within your technology field. Contribute to Technology Development Plans and Technology Business Cases within your projects and technology field. Contribute to stakeholder management with internal/external customers, and you may lead management of supply chain partners in some cases. Take an active role in creating a personal development plan linked to GKN's TEF (Technical Excellence Framework) and will be responsible for delivering on agreed objectives supported by your line manager. Contribute to the development of GKN as a 'Great Place to Work', aligned with the core principles - safe, innovative, open & honest, care & respect, and ownership. Profile description: What You'll Bring To help us make a difference, youll bring your passion and talent for what you do along with the following skills, experience, qualifications and attributes: Essential: A relevant, accredited Engineering /Physics / Materials based degree Experience of material science, characterisation and testing techniques. Strong knowledge and experience of FEA for structural and thermal analysis Ability to understand customer requirements, or support the generation of performance requirements by interpreting operational needs and convert these to appropriate product characteristics. Strong report writing and presentation skills Logical and methodical approach to problem-solving. Strong technical background, enabling you to work across short, medium and long term technology horizons. Ability to plan work through formal project management processes, including scheduling and budgeting and lead a team to ensure successful delivery of required outcomes. Desirable: A higher degree qualification such as a Masters, PhD or EngD Experience of dynamic FEA simulation Experience of ANSYS, LS-DYN and/or Abaqus You will have an awareness of aerospace certification requirements. Data based problem solving techniques Experience of Data driven problem solving techniques The successful candidate will have a broad interest in Aerospace engineering, with a strong understanding of material technologies, including testing and characterisation techniques. While prior technical experience in a laboratory environment would be beneficial particularly for designing tests and analysing results - training can be provided to the right candidate where necessary. Experience in composites and thermoplastics is desirable but not essential. Competency in FEA analytic techniques is expected; the candidate should be capable of building and interpreting models to predict the behaviour of complex components with particular focus on structural and thermal analysis. Familiarity with ANSYS, LS-DYNA and/or ABAQUS is desirable but not required. A proactive mindset is essential, enabling the candidate to quickly understand and adapt to new technology areas. Strong communication skills are required to effectively engage with a wide variety of internal and external stakeholders. The successful candidate should be flexible in their approach to work, and willing to learn from and support team members to ensure project objectives are achieved. As a Senior Research Engineer, the candidate will be naturally curious and committed to deepening their expertise through study, collaborative working, hypothesis testing and experimentation. Ability to obtain UK Security Clearance Essential for this role. We offer: What We'll Offer Once youre on board youll get the following perks and benefits: Competitive salary dependent on experience The opportunity to earn up to 15% bonus Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis Life Assurance 8 x salary 185 hours holiday + bank holidays Income protection Shopping discounts Cycle To Work Scheme Employee Assistance Programme Virtual GP Clinic for you and immediate family Free onsite parking Local gym discount 50% off local travel card Free airport Dart Free airport parking Discount with local nursery and preschool childcare setting Enhanced family friendly leave A collaborative, dynamic working environment As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! Join us and keep the world moving click on the link below to apply A Great Place to work needs a Great Way of Working Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles weve created a culture where everyone feels welcome to contribute. Its a culture that won us The Best Workplace Culture Award. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work. Were also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know. We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ? ? TPBN1_UKTJ

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role is part of our BlueBear Business in Bedfordshire. You will be required to support a mixture of R&D and product development activities within a leading autonomy and unmanned systems company. Blue Bear continuously innovate within core areas such as UAV autopilots, mission systems, ground control stations, and all supporting systems and infrastructure. You will be keen to get involved in all development areas and have a good track history/proven track record in both problem solving and quality software development. Working as part of a team in a multidisciplinary team you will have good communication skills. A can-do attitude and a genuine passion for innovative technology will be advantageous. Develop low-level drivers for UAV for control of effectors, reading instrumentation and integration of novel sensors. Key Responsibilities: * Primarily, your role will be to lead in the design, implementation and test of real time embedded software to support both experimental activities and product development, ensuring real-time safety, security and redundancy considerations are met. * Develop, own and execute firmware roadmaps working closely with Software and Electronics department leads. * Lead a skilled team in the delivery of firmware for high-paced projects. * The opportunity will enable the successful candidate to gain knowledge of cutting-edge autonomous systems. * You will be responsible for delivery, reporting and presentation of technical work and writing and submitting any necessary documentation. * Delivery and maintenance of the embedded systems software within the UAV specifically. * Support development of automated HWIL test environments. Qualifications and Experience: * Minimum 5+ years experience of embedded Linux * Experience leading a team of low-level software engineers. * Sound understanding of Linux kernel configuration and tuning * Experienced user of Linux OS build toolchains such as Yocto and Buildroot * Programming languages: C, C++, Python, Scripting (including Bash) * Ability to work from application code right down to bare metal * Experience of working with core communication interfaces such as UART, Ethernet, SPI, I2C, CAN * Experienced at hardware level debugging and fault finding * Experience of Electronics design, development and testing. * Awareness of FPGAs and VHDL. * Able to interpret relevant data from electronic schematics and component datasheets and application notes for the purposes code writing * RTOS coding and debugging * Awareness of assurance frameworks (DO-178C etc.) and secure by design. * Conducting code reviews * Familiar with use of version control tools such as Git Other Duties and Responsibilities: * To undertake such other duties and responsibilities as may be reasonably required within the grade and level of the post. * You will be expected to perform different tasks as necessitated by your evolving role within the company and the overall business objectives of the company. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Company description: Fantastic challenges. Amazing opportunities. GKN Aerospace is reimagining air travel: going further, faster and greener! Fuelled by great people whose expertise and creativity sets the standards in our industry, were inspired by the opportunities to innovate and break boundaries. Were proud to play a part in protecting the worlds democracies. And were committed to putting sustainability at the centre of everything we do, opening up and protecting our planet. With over 16,000 employees globally, across 33 manufacturing sites in 12 countries we serve over 90% of the worlds aircraft and engine manufacturers. There are no limits to where you can take your career. Job description: Job Summary Its great to know youre making a difference to the future of aviation! Whatever part you play youll be helping us deliver operational excellence to our customers. Based at our Luton manufacturing plant youll do just that. Established in 1993, GKN Aerospace in Luton is a world leader in commercial and military ice protection systems and transparencies. Offering a full range of capabilities; design, analysis, testing, certification and manufacture of electro-thermal ice protection, military fast jet canopies and flight deck windows to over 20 programmes including: Boeing 787, Dreamliner, Airbus A320, AgustaWestland, AW101, Eurofighter Typhoon and Lockheed, Martin F-22 Raptor. Our customers include Boeing, Airbus, Lockheed Martin, Bell Helicopters, Textron, BAE Systems, Pratt & Whitney, Leonardo. Our Luton site is home to 370+ employees and onsite facilities including onsite parking, food hub and vending machines. The Luton Engineering & Technology team is focused on developing product and manufacturing process technology related to aircraft ice protection systems, transparencies and coatings, and specialist structures for both civil and defence applications. We are looking for a Design Engineer to join our Ice protection systems team to support site sustainment design engineering enquiries and provide general department support as needed. As a Design Engineer you will be responsible for creating and maintaining product definition and ensuring ongoing product performance against requirements. Working across the product lifecycle you will be involved in: Product sustaining activities including Material Review Board (MRB), Customer concession management, manufacturing problem solving, Engineering change management and in service technical support to our customers as a part of an Integrated Programme Team. Continuous improvement of products, processes, tools and design handbooks to ensure the highest standards of quality and compliance to evolving customer, regulatory, and airworthiness requirements. New product development activities including requirements management, geometric design, materials selection, tooling, manufacturing process development and assembly methods, specifications, product verification, qualification and certification testing. As a Design Engineer within the Engineering and Technology Department you will also have the opportunity to contribute to high-impact research and development projects within your field of expertise.You will have a track record of delivering high quality technical work, and be comfortable within a project environment. You will have good written and oral communication skills, and be confident working with a broad range of internal and external stakeholders, including non-technical colleagues. Core operational hours at our Luton site are 07:3016:30, Monday to Thursday, and 07:3012:30 on Friday. The role also requires flexibility to undertake occasional travel to meet business needs; however, such travel will be infrequent. Job Responsibilities Develop design solutions compliant to cost and manufacturing requirements using appropriate techniques for design such as Design for Manufacture and Assembly (DFMA) and design to cost. Create and maintain detailed design definition (drawings / specifications) including interfaces, dimensions, materials, parts, manufacturing process requirements, assemblies, and tolerances needed to ensure product functional design requirements are met, knowledge of tolerance analysis would be advantageous. Deliver assigned project deliverables including drawings, documents, reports and specifications according to the relevant procedures. Identify test methods and/or alternate means of compliance (analysis/similarity) as required to demonstrate design solution complies with requirements. Understand the qualification process of products and prepare compliance documentation to internal, customer, and regulatory requirements where applicable. Represent Design Engineering function in Material Review Board (MRB) and Integrated Program Teams (IPT) Identify and work to resolve product non-compliances with requirements and/or technical drawing, specifications, or standards. You will seek to understand the strategic direction of the product group. You will ensure EHS policy and process adherence for your activities, and you will contribute to a proactive EHS culture in the wider team. You will contribute to the development of GKN as a 'Great Place to Work', aligned with the core principles - safe, innovative, open & honest, care & respect, and ownership. Profile description: What You'll Bring To help us make a difference, youll bring your passion and talent for what you do along with the following skills, experience, qualifications and attributes: Essential: Hold an accredited relevant Engineering qualification at Bachelor level or equivalent experience Experience of creating models and drawings using CAD software Experience of Configuration Control & Change Management and use of PLM systems Logical and methodical approach to task planning and be able to demonstrate an evidence-based approach to decision making and problem solving. Good interpersonal and communication skills, able to work independently and as part of a multi-disciplinary team to meet objectives. Good oral and written communication skills, being able to create clear, concise and accurate technical content. Working knowledge of MS Office suite. Desirable: Experience of using CATIA V5 software An awareness of Aerospace certification requirements. Previous experience in Aerospace sector Experience of using SAP Experience of using Windchill PLM Awareness of other functions such as Operations, Production, and Supplier Management We are looking for people who want to make a difference, talented members with the skills and passions to become the best of the future in what they do. As Design Engineer you will be naturally curious, and show a strong interest in aviation and aerospace engineering technology. You will be a strong self-starter, able to execute tasks according to plan. Note: Some GKN programmes are subject to regulatory restrictions which may impact certain nationalities. As part of the application process you will be asked to declare when applying for this role. We offer: What We'll Offer Once youre on board youll get the following perks and benefits: Competitive salary dependent on experience Industry Leading Pension Scheme = well match your contributions up to 8% on a 1 : 1.5 basis Life Assurance 8 x salary 185 hours holiday + bank holidays Income protection Shopping discounts Cycle To Work Scheme Employee Assistance Programme Virtual GP Clinic for you and immediate family Free onsite parking Local gym discount 50% off local travel card Free airport Dart Free airport parking Discount with local nursery and preschool childcare setting Enhanced family friendly leave A collaborative, dynamic working environment As well as a competitive package well offer you a world of opportunity. We want to see your career fly! Well support your career progression by providing you with learning and development opportunities. Thats the beauty of being part of a global business, once youre on board you never know where you career journey may take you! Join us and keep the world moving click on the link below to apply A Great Place to work needs a Great Way of Working Everyone is welcome to apply to GKN. We believe that we can only achieve our ambitions through a coming together of diverse minds who enjoy collaborating in an inspirational environment. Through our commitment to diversity, inclusion and belonging and by living our five powerful principles weve created a culture where everyone feels welcome to contribute. Its a culture that won us The Best Workplace Culture Award. By embracing and celebrating what makes us unique we encourage everyone to bring their full self to work. Were also committed to providing an accessible recruitment process, so if you require reasonable adjustments at any stage during our recruitment process please get in touch and let us know. We are the place where human dreams, plus human endeavour, shape the future of aerospace innovation and technology. ? ? TPBN1_UKTJ

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