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

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

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

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

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

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

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

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

Say hello to Eastcote! This lovely practice in West London has just had a role open for an RVN, on a full-time basis. About your new role! Situated in a popular family area in West London, the client base at Eastcote is established, due to many of them being bonded via our health care plan. You will be part of a settled team, including our lead vet who has been with Goddard Vet Group for over 12 years. Eastcote is also a training practice for our future RVN colleagues, and you will be instrumental in the guidance and support through-out their studies (which are provided via our own Training College). As the sole RVN in practice, there will be additional accountabilities which have been reflected in a higher RVN salary band. As a sole RVN, leadership training can also be provided, and you will work closely with your vet to ensure the practice is running as smoothly as possible (though we know there are "those days"!) This role is 40 hours per week, inclusive of a 1:4 branch Saturday and 1:10 Sunday rotation at the nearby Mandeville Hospital in Northolt, where you will be rota ‘d to 1 bank holiday per year. There are NO on-call requirements for this position. As a branch RVN some of your duties will include: • Ensure the provision of a high quality and continually improving standard of nursing care., • Assist the veterinary surgeon in theatre and during consultations, as and when required., • Maintain comprehensive patient hospitalisation records., • Ensure a high standard of comfort and welfare for all pets in our care., • Complete and maintain accurate records of hospitalised patients., • Maintain a respectful and collaborative team environment, • Ensure equipment is cleaned, packed, sterilised and stored correctly when not in use., • Maintain adequate stocks of drugs, diets and consumables and place orders with our suppliers to required levels as necessary., • Assist with the induction of new staff and their subsequent training., • Provide reception duties, as required, ensuring a friendly and efficient handling of clients and their pets, in person, by email and over the telephone., • Support student nurses as a clinical supervisor OOH and emergency care is provided by Mandeville Hospital, which is only 3 miles away, and has state of the art facilities including CT to ensure your patients are given the best care possible when away from their home practice. The environment in which you work in is incredibly important for day-to-day life. Eastcote has an incredibly warm and sunny environment, due to being flooded with natural light, and comes complete with a large consulting room, theatre, kennel area and lab room. The practice is walking distance from Eastcote tube station which is on the Piccadilly and Metropolitan lines and within walking distance of the local shops for that midday pick me up! Now let’s get to the nitty gritty, here is what we offer you: Our full-time sole branch RVN salary band is £35,000 to £39,000 depending on experience allowing room for growth and development within the role. A little snippet of the benefits you will receive as a Goddard RVN: • 6.6 weeks annual leave including bank holidays, • CPD budget every year plus up to 2 days' paid CPD leave, • Paid 30-minute lunch breaks -The opportunity to join our private medical healthcare scheme at a reduced rate, plus medical cashback incentives If you can see yourself in this role press apply now, and within 60 seconds your application will be with our recruitment manager Rose. Alternatively, please feel free to email Rose directly at for any other queries or to simply arrange a call and have a chat about other opportunities!

33 days holiday, full training, ongoing support, a company vehicle with fuel card, and real opportunities to progress within a fast-growing company. Chase Taylor Recruitment is currently partnered with a well-established and expanding company, looking to recruit a permanent Garage Door Installer to fit roller shutter garage doors in the Watford area. Why this role stands out: * Products delivered locally – no long journeys to collect materials * No heavy glass units to handle * 2 weeks fully paid training in Leeds starting 11th May 2026 * All products manufactured in-house at a state-of-the-art facility * Work covers your local area only * Strong focus on quality, safety, and customer service * Choose your own lock-up to collect deliveries – as local as you like Candidate Skills & Experience: * Previous experience as a garage door installer or in other hands-on roles * Experience as an Installation Engineer preferred, but full training provided * Confident using hand tools and following installation and safety processes * Excellent customer-facing skills * Full clean UK driving licence * Ability to complete on-site paperwork accurately * Reliable, conscientious, and professional If you are a current Garage Door Installer, or have hands-on experience within a trade, and are looking to join a company where quality, safety, and customer service are genuinely p...

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 team is focussed on developing product and manufacturing process technology related to aircraft ice protection systems and specialist structures for both civil and defence applications. The areas of activity cover but is not limited to: Electro-thermal systems and Electro-mechanical systems, Specialist materials and coating systems, Embedded and structural composites, Aircraft transparencies, Icing modelling and analysis, Sensing and data acquisition, Electrical and software control systems and digital engineering / manufacturing. We are seeking a Research Engineer to develop and mature manufacturing process technology to enable low cost, high rate and high-yield manufacturing of aircraft structures with embedded ice protection capability, with a focus on automation and digitalisation to drive innovation and manufacturing excellence. As this is aresearch role, we are looking for an innovative thinker, your work should push the boundaries of conventional engineering in terms of the design and integration of state-of-the-art manufacturing processes whilst appreciating aerospace certification requirements. Youll be comfortable travelling within the UK when needed, with occasional opportunities for international travel depending on programme demands. Job Responsibilities Responsible for the technical delivery of allocated project deliverables, or project work packages, ensuring the research objectives have been satisfied. Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants. Support or lead any necessary 'hands on' development test work and development trials that are required to meet your Work Package/Work Stream delivery objectives. Support or lead the design of external work packages to be carried out by third parties to meet project research objectives. Responsible for accurately capturing and recording data and results from test work and development trials. Responsible for raising and issuing high quality and detailed technical documentation. Seek to understand the strategic direction of the target products or manufacturing process technologies being developed within your project(s). Contribute to Technology Development Plans and Technology Business Cases within your project(s). Contribute to multi-year planning and internal/external funding proposals as required. Suggest and explore exploitation routes, aligned with the guidance of the Work Stream Lead. You may support project 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 and will be responsible for delivering on agreed objectives supported by your line manager. Ensure EHS policy and process adherence for your activities, and you will contribute to a proactive EHS culture in the wider team. 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 professional qualification such as HNC/HND/ Degree in engineering (e.g. Automotive, Mechanical, Electrical, Chemical) Good working knowledge of general industrial manufacturing processes, and an interest in understanding new and emerging techniques. Good working knowledge of AS9145 APQP/PPAP requirements and tools supporting Zero Defect Manufacturing approaches. Good working knowledge of Lean manufacturing philosophies and Six Sigma / Statistical techniques for process control and problem solving. A logical and methodical approach to task planning. Good report writing and presentation skills, able to support and present at internal and external technical and project review meetings. You will be developing your own network and you will have a general awareness of key companies and key individuals who operate in the wider aerospace technology and engineering field. Desirable: • A higher degree qualification such as a Masters, PhD or EngD, • Experience of working with and configuring PLCs (Siemens), • Experience of working with and configuring SCADA systems. The ideal candidate will have experience in equipment procurement, including Capex generation, equipment specification, supplier management, commissioning and buy-off. They will also bring working knowledge of AS9145 APQP/PPAPparticularly MSA, PFMEA and SPCalong with a general understanding of aerospace product certification and qualification requirements. As aResearch Engineer, you will bring an adaptable approach to your work and be comfortable collaborating with colleagues across different areas of expertise to achieve project objectives. You will be naturally curious, proactively deepening your technical knowledge through study, experimentation, hypothesis testing and cross-functional proactive mindset will enable you to quickly understand and adapt to new technology areas, while your strong communication skills will allow you to confidently engage with a wide range of internal stakeholders. This position requires UK National Security Vetting (UKNSV) Security clearance (SC) due to the nature and responsibilities of the work carried out. In order for us to obtain an SC you usually need to have been resident in the UK for a minimum of 5 years to current date (but we do assess each case individually). 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 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. xrnqpay 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.

Mobile Vehicle Technician Find out more about this role by reading the information below, then apply to be considered. Location: Watford Salary: £45,370 basic salary (inclusive of London Weighting Allowance), with the opportunity to earn up to £58,000 Hours: 40 hours weekly, Monday to Friday 8.00am 4.30pm, 1 in 4 Saturday's Ref: 30179 We have exciting new opportunities for Mobile Vehicle Technicians. We are recruiting across the Watford area so we will tailor the area to you based on your location. This role is with one of the UKs leading vehicle breakdown companies who is providing a first-class service to thousands of customers, and you would be entitled to a wide range of benefits the moment you start your employment. Fantastic Benefits for Mobile Vehicle Technician 23 days annual leave rising to 25 Time and a half for overtime Free premium breakdown covers for you and your household No additional travel time - start and finish on your driveway. Training from day 1 A fully equipped state of the art company vehicle with tools and uniform Access to a broad range of career progression opportunities and industry leading training Company life assurance linked to pension Flexible benefits site providing numerous benefits including health and wellbeing. Mobile Vehicle Technician Role Working closely with the breakdown team you will be tasked with attending breakdowns to diagnose issues they have. Working on the vehicles to ideally get them back on the road otherwise making sure the vehicle goes back to the workshop. Identifying problems and advising the customer on the vehicles issues. Vehicle servicing & general maintenance including electrical & vehicle Diagnostics. Mobile Vehicle Technician / Roadside Technician, you are the face of the business so its important you deliver exceptional Customer Service. Mobile Vehicle Technician Requirements We are seeking a Level 3-qualified Vehicle Maintenance and Repair Technician (City & Guilds, IMI, NVQ, or equivalent); however, candidates with a Level 2 qualification will be considered, provided they can demonstrate their qualifications. Minimum 3 years experience within the vehicle workshop or working as a Mobile Vehicle Technician A full UK driving licence - no more than 9 points or bans on the licence Ability to demonstrate technical, electrical, and diagnostic experience How to Apply If you are interested in applying for this Mobile Vehicle Technician vacancy, then please in the first instance, send me your CV and I will contact you on receipt. All applications will be treated with the utmost confidentiality. xrnqpay Consultant: Robert Samuels - Octane Recruitment RSVT Octane Recruitment is a specialist Automotive and Motor Trade recruitment agency, working with main dealerships, bodyshops, tyre management companies, parts distribution centres, independent garages, fleet operators, HGV companies, import centres and manufacturers across the UK. We recruit across the motor trade and related industries.

TJX Europe At TJX Europe, every day brings new opportunities for growth, exploration, and achievement. You'll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritises your development. Whether you're working in our Distribution Centers, Corporate Offices, or Retail Stores-TK Maxx & Homesense, you'll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX team-a Fortune 100 company and the world's leading off-price retailer. Job Description: Discovery is at the centre of everything we do. Wherever you find us around the world, if you can think of a product, you can probably find it in our stores. We are part of the TJX Family which includes TK Maxx, and Homesense in Europe and the UK and across the rest of the world you will find us as TJ Maxx, Marshalls, HomeGoods, Sierra and Winners. With variety comes plenty of surprises-our environment is ever-changing, and that's just how we like it. Every day is an opportunity to discover something new about our business, our partnerships and even something exciting about yourself. Are you ready to Discover Different? About the team Our Store Design team brings our stores across Europe to life, ensuring they present the latest design and branding and support the wider need of the business, bringing innovations and ensuring key partners such as our Store operations and Merchandising teams are kept informed. From initial feasibility designs to manuals and creatives, the Store Design team provides the right look and layout, keeping the shopping experience positive for our customers. They also deliver huge value but with an eye on efficiency too, reducing costs but maintaining impact. About the role We're now seeking a 12-month undergraduate REVIT Technician Placement to join our retail designers creating block plans and fixture layouts as a part of our stores remodelling programme. With the support of a mentor and a supportive and highly experienced team around you, you'll develop your REVIT skills, creating store and fixture layouts which meet brand, operational and capacity requirements and identify store specific needs to ensure the shopping experience is positive. You'll also support with our store signage needs which align with our brand and support the fixturing deployed. You'll engage our Retail designers regularly, ensuring we maintain high standards and adapting to new requirements as they arise, supporting in the production of presentation materials to help bring our designs to life and enable our internal stakeholders are able to tune into their future retail space and experience. With no 2 stores the same, this placement will provide an excellent opportunity to learn, do meaningful work and contribute to real world programmes which directly support our customers and our business. About you You'll be working towards an Interior Design or Architecture degree and have a desire to work within the Store or Retail Design field. You're articulate, organized and enjoy working with a wide range of people, at times under time pressure. You're articulate with good interpersonal skills and you're curious too, asking questions both to clarify and learn. We're also open to post-graduates to apply for the role. Additionally: Working knowledge of AutoDesk REVIT 2015 or later and MS Office Studying for interior design / architecture or similar discipline Appreciation of the shopping traits of retail customers Understanding of common fixture design and visual merchandising principles Can visualize store design in 3D to appreciate use of signage and merchandising Our Process We plan to conduct a hiring process which helps us to learn about you and the skills you'll bring. In person Assessments are planned for the Summer . Here you'll also have a chance to visit our state of the art offices in Watford and meet the team. About the placement The placement is planned to start in September 26 and will conclude in August 27. You'll be assigned a mentor and report into a dedicated line manager throughout your placement ensuring you have the support you need to learn and be successful. You'll work closely with our other Early Careers hires in Property and you'll be given regular developmental access to our experienced team, including our Senior Leaders and Experts, all of which will help you develop more knowledge and skills in this field whilst complementing your degree. We'll also provide access to professional development throughout your placement. Initially, you should expect to spend much of your time in our offices in Watford although there is scope to move to a hybrid working model as you gain experience. Some travel around the UK and Europe is expected too. And finally Come and Discover Different at TJX. From opportunity and teamwork to growth, we think you'll find that it's so much more than a job. When you're a part of our global TJX family, you have the full support of a diverse, close-knit group of people dedicated to finding the greatest deals and fantastic style. Best of all? They have a lot of fun doing it. We care about our culture, but we also prioritise the important things like competitive salaries, solid benefits and plenty of room to grow in your role. It's our way of empowering you to make your career here. As proud as we are of our past success, it's our future that excites us most. We strive to provide opportunities for growth, recognition and a competitive salary and benefits package. Share our determination to think bolder and bigger, and be part of our future. We consider all applicants for employment without regard to age, disability, gender, gender reassignment, marriage and civil partnerships, pregnancy and maternity, race, religion or belief and/or sexual orientation. Address: 73 Clarendon Road Location: EUR Home Office Watford GB TPBN1_UKTJ

Mobile Vehicle Technician Location: Hillingdon Salary: £55,869 basic plus overtime (Paid at time and a half with is £35 per hour). Overall earnings can be as high as £61,000 depending on how much time you're willing to do Hours: this is a 40-hour working week with the earliest start time is 6am latest finish time is 2am, rota is posted 14 days prior to shifts taking place, these can change with up to 72 hours’ notice Reference: 28986 We have an exciting opportunity for Mobile Vehicle Technician. We are recruiting across the Hillingdon area so we will tailor the area to you based on your location. This Mobile Vehicle Technician is working for one of the UK’s leading vehicle breakdown companies who provider a first-class service to thousands of customers and you would be entitled to a wide range of benefits the moment you start your employment. Benefits for Mobile Vehicle Technician 23 days annual leave increasing with the length of service. • No additional travel time - start and finish on your driveway • Know your shifts 12 months in advance • A fully equipped state of the art company vehicle with tools and uniform • Free RAC breakdown covers for you and your household from day one • Access to a broad range of career progression opportunities and industry leading training • 24-hour colleague assistance programme • Company life assurance linked to the pension scheme Role Overview - Mobile Vehicle Technician Diagnose and repair vehicle problems, including engine, transmission, brake, suspension, and electrical issues. • Perform routine maintenance tasks, such as oil changes, tire rotations, and brake inspections. • Use diagnostic tools and software to identify and resolve complex issues. • Keep accurate records of all work performed and parts used. • Communicate with customers about vehicle issues and repair recommendations. • Maintain a clean and organized work area. • Keep up to date with the latest automotive technology and repair techniques. Requirements - Mobile Vehicle Technician We are seeking a Level 3-qualified Vehicle Maintenance and Repair Technician (City & Guilds, IMI, NVQ, or equivalent); however, candidates with a Level 2 qualification will be considered, provided they can demonstrate their qualifications. • Minimum 3 years’ experience within the vehicle workshop or working as a Mobile Vehicle Technician • A full UK driving licence - no more than 9 points or bans on the licence • Demonstrate technical, electrical, and diagnostic experience How to Apply We offer a competitive salary, benefits package, and opportunities for growth and advancement. If you are a skilled and dedicated vehicle technician who is passionate about cars and committed to delivering high-quality work, please submit your resume for consideration. All applications will be treated with the utmost confidentiality. Consultant: Robert Samuels - Octane Recruitment RSVT Octane Recruitment is a specialist Automotive and Motor Trade recruitment agency, working with main dealerships, bodyshops, tyre management companies, parts distribution centres, independent garages, fleet operators, HGV companies, import centres and manufacturers across the UK. We recruit across the motor trade and related industries

Trainee Laboratory and Administration Assistant / NHS Pathway Coordinator Join our team at Cellular Pathology Services, a leading provider of diagnostic and digital pathology solutions. This is a fantastic opportunity for a motivated individual looking to begin or develop a rewarding career in healthcare science, combining administration and hands-on laboratory support. 2 POSITIONS AVAILABLE NO EXPERIENCE REQUIRED – FULL TRAINING PROVIDED This is an entry level position with significant opportunity for progression and growth. Ideally you will be a Biomedical Scientist undergraduate. We also welcome applications from those just starting their career in administration and will also strongly consider biomedical science graduates with the right attitude and aptitude. If you’ve also worked in the following roles, we’d also like to hear from you: Laboratory Assistant, Pathology Administrator, Medical Laboratory Assistant, Healthcare Support Administrator, Specimen Reception Assistant, Healthcare Administrator The site is not accessible by public transport, so having your own transport is essential. SALARY: £25,700 per annum + Benefits (see below) LOCATION: Watford, Hertfordshire JOB TYPE: Full-Time, Permanent WORKING HOURS: 37.5 hours per week, operating on a shift pattern between 07:00 and 19:00 JOB OVERVIEW At Cellular Pathology Services, we have an exciting opportunity for a Trainee Laboratory and Administration Assistant / NHS Pathway Coordinator (officially known as a Junior NHS Pathway Coordinator) to join our dedicated team based in Watford. As a Trainee Laboratory and Administration Assistant / NHS Pathway Coordinator you will support both the administrative and laboratory functions of our digital pathology department, helping to ensure the efficient and accurate processing of patient samples. This Trainee Laboratory and Administration Assistant / NHS Pathway Coordinator position is ideal for someone with strong organisational skills, a proactive attitude and a genuine interest in healthcare science and digital diagnostics. ABOUT US Cellular Pathology Services is an independent diagnostic pathology provider, working in partnership with the NHS and private healthcare organisations to deliver high-quality histopathology and digital diagnostic services. We pride ourselves on innovation, precision and patient-centred care. Our purpose-built facilities in Watford are equipped with state-of-the-art digital scanning technology and advanced laboratory systems, supporting clinicians and pathologists across the UK. As part of our team, you’ll be joining a forward-thinking organisation that values learning, collaboration and continuous improvement. We invest in our people, promote from within, and foster a culture where every contribution helps improve patient outcomes. WHY JOIN Fast-Track Career Growth: No previous experience is required – full training is provided to help you succeed and develop your career in healthcare science. Impactful Work: You will play a vital role in supporting our biomedical and pathology teams, ensuring timely and accurate patient diagnoses. Learning Opportunities: Enjoy a varied role combining administrative duties with hands-on laboratory experience in a cutting-edge digital environment. Supportive Team Culture: Work alongside friendly, professional colleagues in a collaborative, positive and inclusive workplace. Competitive Package: Receive a competitive starting salary, plus excellent benefits, health cover and access to ongoing training and progression opportunities. DUTIES Your duties as the Trainee Laboratory and Administration Assistant / NHS Pathway Coordinator include: • Administrative Support: Performing data entry, filing and document management to maintain accurate laboratory records, • Sample Management: Receiving, logging and packaging patient specimens safely and in line with standard operating procedures, • Digital Pathology: Supporting the scanning and reviewing of digital images to ensure clarity and diagnostic quality, • Quality Assurance: Following all laboratory policies to maintain compliance and uphold service standards, • Team Assistance: Collaborating with pathologists and biomedical scientists to ensure workflow efficiency, • Database Management: Updating patient and case information using laboratory computer systems, • Health & Safety: Maintaining a clean, safe and organised work environment and following all safety protocols, • Professional Development: Engaging in ongoing training and supporting continuous improvement initiatives CANDIDATE REQUIREMENTS ESSENTIAL • Enthusiasm to build a career within healthcare science or digital pathology, • Excellent attention to detail and accuracy in data entry, • Confident using Microsoft Office, especially Word and Excel, • Strong communication and interpersonal skills, • Ability to handle confidential information with discretion, • Organised, adaptable and able to prioritise tasks effectively, • Full UK driving licence and access to own transport, • Eligibility to work in the UK DESIRABLE • Biomedical Scientist undergraduate ideal, • Previous experience in an administrative or healthcare support role, • Knowledge of laboratory computer systems or databases, • Audio typing or transcription experience, • Familiarity with specimen reception or clinical laboratory processes BENEFITS • Competitive salary of £25,700 per annum, • Health insurance and pension plan, • Annual performance bonus, • Ongoing training and professional development, • Supportive and collaborative team culture This role requires a DBS check NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14581 This job is being advertised by AWD online on behalf of Cellular Pathology Services AWD-IN-SPJ

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