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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.

Trainee Network Admin – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network Admin Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Why Network Administration? Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee Coding Programme – No Experience Needed Future-proof your career in Coding – starting today. Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Coding Job Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. Train online at your own pace and land your coding role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Stage 1 - Learn HTML and CSS (*up to 12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (*up to 6 weeks) Once the HTML & CSS courses are complete, your trainer will move you forward to the next stage. Stage 2 - Additional Online Training (*up to 12 weeks) The second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. • Learn the Command Line (*1.5 weeks), • Learn Git & GitHub (*1.5 weeks), • Learn JavaScript (*1.5 weeks) Python is a highly versatile programming language and due to its relatively "easy to understand" commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity. Step 3 - Building a Portfolio Website Project (1 week) Your tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career. In addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended. • AWS Certified Cloud Practitioner We will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or a web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have. There are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: - • Junior Developer, • Website Administrator, • Website Support Developer, • Junior Web Developer, • Content Editor, • Wordpress Developer, • Junior Software Developer, • Junior Front or Back End Development Our money back Job Guarantee Due to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Qualification for this programme? To ensure we maintain a high level of support for our candidates, we limit spaces to this programme. Apply before the deadline and one of our consultants will speak with you to check your eligibility for the programme.

Primary SEN Teacher - Romford | Outstanding Opportunity Are you an inspirational educator looking for a fresh start? We are searching for a brilliant Primary SEN Teacher - Romford to join an "Outstanding" specialist school immediately. This is an urgent vacancy for a Primary SEN Teacher - Romford who is passionate about supporting students with ASD (Autism) and SLD (Severe Learning Difficulties). If you want to work in a school that feels like a family, this is the place for you! The Role & Benefits * Position:Primary SEN Teacher - Romford * Start Date:ASAP (Long-term contract) * Class: Primary KS1/KS2 (Small class sizes) * Support: 3+ experienced TAs per classroom * Pay: Top-tier daily rates based on experience Why You'll Love It There As a Primary SEN Teacher - Romford, you won't just be teaching; you'll be changing the trajectory of your students' lives using: * State-of-the-art Facilities: Sensory gardens, soft-play zones, and high-tech therapy rooms. * Leadership: A supportive SLT that actually listens and values your work-life balance. * Convenience: Free on-site parking and excellent local transport links in Romford. What We Are Looking For The successful Primary SEN Teacher - Romford will need: * QTS: Full Qualified Teacher Status. * Experience: A strong background in ASD/SLD or a desire to transition from mainstream to SEN. * Energy: A creative approach to making the curriculum accessible for all learners. How to Apply We are looking to hold trial days immediately for this Primary SEN Teacher - Romford role. Don't wait-high-quality roles in this area fill up fast! Call Kiesha @ Reeson on for an informal chat or hit the button below. Reeson Education: Reeson Education is the England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across the UK. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of London. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert. All daily/hourly rates quoted are inclusive of holiday pay at 12.07%

Trainee Project Manager Programme – No Experience Needed Future-proof your career in Project Management – starting today. Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Project Manager Programme is designed to help you move into a high-demand coding role, even if you have no prior experience. Train online at your own pace and land your project management role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £30,000-£50,000. Step 1 - APM (Association for Project Management) Qualification The first step is completing the APM Project Fundamentals Qualification (PFQ) This professional industry-recognised qualification teaches you the fundamental principles of the project profession. The APM are the only chartered project management group in the world. Study time for the qualification is approximately 20 hours and qualification achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a 1hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a Chartered Project Professional with additional study and experience. Step 2 - PRINCE2 Foundation PRINCE2 is the most recognised methodology used by Project Managers worldwide and therefore an essential qualification for anybody looking to work in Project Management. It is a process driven methodology and often referred to as a waterfall methodology. Study time is approximately 15-20 hours and qualification obtained through a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a 1-hour online revision workshop prior to sitting your exam. Step 3 - Project Management Simulation With our exclusive online Simulated Project Assignment, you will have the opportunity to make your way through a simulated project which shadows a project manager. These projects and scenarios are based on real world project and scenarios. Once completed, our tutor will grade your work and issue a certificate of completion. Step 4 - Recruitment Support Now you are qualified for an entry level project management position our recruitment support team will now begin collaborating with you to help you secure your first role in the project management sector. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.9 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Project Management career aspirations. We look forward to receiving your new application and putting you on the pathway to a new and financially rewarding career in project management.

Trainee Network & Security Engineer – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network & Security Engineer Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Why Network Engineering Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+

Build a future-proof career in Data & AI – starting today. Artificial Intelligence runs on data — and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don’t know where to start? ITOL Recruit’s Data Analyst Career Programme is designed to take you from complete beginner to employable Data Analyst. Most candidates secure their first role within 1-3 months of qualifying. Please note this is a training course and fees apply. Job guaranteed - complete the programme and get a job or get your money back. Our graduates earn £30,000–£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: • Junior Data Analyst – £30,000, • Data Analyst – £50,000, • Business Analyst – £60,000

A leading optical retailer in Ilford is looking for an Optical Assistant to join their team. Applicants are encouraged to have experience in a customer service environment and some knowledge of optical concepts.

A leading tech-enabled accounting firm in the UK seeks ambitious students to join their Managed Business Services Team. You'll receive high-quality training towards AAT Level 3 and 4 qualifications while providing exceptional accounting services to a diverse client base. This is a unique opportunity

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Gas Repair Engineer Ganymede Energy is recruiting for a leading private provider of heating and maintenance services for residential properties across the UK. They are the second-largest home care maintenance company in the country, following British Gas. With a strong presence and continuous growth, who currently employs over 350 engineers. Established in 1992, the company brings decades of industry experience and offers excellent training facilities nationwide. Their training programs are comprehensive, safety-focused, and tailored to support individual employee development and career progression. The role involves working in private residential properties to identify and diagnose faults in central heating systems, followed by carrying out necessary boiler repairs. Here is a short breakdown of the offering: The Package: Basic salary: £52,830 + a £3,000 guaranteed bonus in your first year! 40 hours per week, with annualised hours (less in summer, more in winter – consistent pay all year round!) Overtime available 33 days’ holiday (including BHs) with the option to buy, sell or carry over up to a week Sick Pay & Maternity/Paternity Pay Company van, fuel card, tools, uniform & PPE provided Fantastic pension with income protection cover Access to a private, award-winning training centre & field coaches to support your growth Up to £2,500 Smart Tech & Home Improvement salary sacrifice scheme (IKEA, Currys) A supportive team where you’ll be recognised and rewarded Clear progression opportunities About You: CCN1, CENWAT1, HTR1 & CKR1 Full UK Driving Licence with no more than 6 penalty points Excellent customer service Proactive, 'can do' attitude Keen eye for detail and problem-solving skills If you are interested in joining a growing business at an exciting time, you can reply directly below or send your CV to (url removed) or call me on (phone number removed) for a full job description. Ganymede is committed to creating a diverse workforce and is an equal opportunities employer. We welcome applications from all suitably qualified persons regardless of age, disability, gender, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation

Tech Connect Group is pleased to have partnered with an automotive business in their search for an HR Advisor to join their growing team, based out of their Dagenham site. The successful candidate is responsible for providing proactive, professional, and customer-focused HR support across the business unit. This role serves as the first point of contact for managers and employees regarding HR-related queries, ensuring the consistent application of policies and practices, and supporting the delivery of key people initiatives. This is a stand-alone, on-site role, supported by our wider HR team based at our South Wales facility. This role is office-based and requires a daily presence in the office; you must be able to reliably commute to the facility in Dagenham. Key Responsibilities: Act as a trusted advisor to managers, providing guidance on complex ER matters, including disciplinaries, grievances, performance, and absence management. Serve as the primary HR point of contact, ensuring data integrity within HR systems and providing accurate documentation for seamless payroll processing. Safeguard the business by ensuring consistent application of HR policies and maintaining strict adherence to current employment law and health and safety legislation. Manage the end-to-end recruitment lifecycle, from candidate screening to delivering engaging inductions and supporting the probation process. Identify training gaps and coordinate development activities, maintaining meticulous records to ensure the workforce remains highly skilled and audit-ready. Partner with leadership to enhance management capabilities through the design and delivery of bespoke training and mentoring programs. Contribute to strategic initiatives—such as wellbeing and engagement programs—while using data-driven insights to support effective workforce planning. Key Skills & Experience: CIPD Level 5 qualified (or actively working towards it) Proven experience coaching and advising line managers through the nuances of employee relations, policy application, and sensitive people processes. Highly organised with a sharp eye for detail and the ability to pivot between multiple competing priorities without breaking a sweat. Proficient in HRIS platforms and Microsoft Office, with a steadfast commitment to maintaining absolute confidentiality

About The Role HomeServe are now recruiting for directly employed Gas Repair Engineers to join our team! • Location - Romford • Full Time - You will average 40 hours per week over the year working annualised hours (less in summer more in winter) but your pay will not change! T his includes some weekend, evening and bank holiday work • Salary - £52,830. Plus a £3000 guaranteed bonus in your first year HomeServe offers an industry leading reward package to attract the best in our field: • Seasonal hours (shorter hours in the summer with the same pay) • Additional paid overtime • Fantastic pension scheme including Income Protection Cover • 33 days days annual leave (including bank holidays) with the option to buy, sell or carry over up to an additional week • Up to £2500 Smart Tech and Home Improvements salary sacrifices to shop at Ikea and Currys, spreading the cost over 12 months • Free HomeServe Cover 8 policy • Employee assistance programme looking out for you and your family • Company van with fuel card • Use of company tools, uniform and PPE • Access to our private award-winning training facility and our excellent team of field-based coaches to support your ongoing learning and development • Learning and development opportunities • Monthly breakfast meetings with your team to share best practices and keep in touch as well as monthly reviews with your line manager About the role: At HomeServe we put the customers' experience at the forefront of everything we do. As a Gas Repair Engineer you will undertake the maintenance and repair work of gas appliances and central heating systems in our customers' homes. You will provide industry leading service and help us enhance our reputation, whilst driving customer growth. About You What you must have: • CCN1, CENWAT1, HTR1 & CKR1 (if successful, copies of your certificates must be provided) • Full UK Driving Licence with no more than 6 penalty points • Excellent customer service • Proactive, 'can do' attitude • Keen eye for detail and problem-solving skills At HomeServe you'll be part of an open, engaged culture where everyone has an equal voice and the opportunity to get involved, as well as make a real difference in our customers' lives. You'll work in a fun, friendly and inclusive environment where people understand the value of their contribution to our goals and are encouraged to recognise a job well done. Training & Support: To help you settle in to your career at HomeServe, you will undertake our extensive training programme. • Week 1 - You will attend our Head Office in Walsall Monday - Friday, where we will cover all things HomeServe, health and safety and provide you with your tools and equipment • Week 2 - You will be buddied up with an experienced HomeServe Gas Repair Engineer Where geographically appropriate we will pay for your accommodation and meal allowance for your induction. The next steps: If you believe you are who we are looking forward for then click apply now! If your experience matches what we need you will be sent an open book Gas Theory Paper, where you can use all resources available to complete it. If you are successful at this stage, we will be in touch to invite you to an in-person interview. It's our people that truly make what we do so special. As part of the HomeServe family your job will be to put our customers first and we will give you everything you need to make this happen. About Us Not Specified TPBN1_UKTJ

UK-Based Credibility: Training delivered by a UK‑based technology firm, aligned with current local industry expectations and standards. Data Science Training & Internship. Real-World Project Experience: Apply data science techniques to real scenarios and develop a portfolio suitable for entry-leve

Surfaceexperts is seeking a Surface Experts Technician in the North East of England.

No prior IT experience is necessary, with training provided on payment technologies and operational processes. Stratospherec Ltd is seeking a Technical Support / Help Desk professional for a top UK Fintech Software company in Whiteley. Candidates should have a background in customer service and a ke

A family-run dealership in Brentwood, Essex is seeking a highly skilled Vehicle Technician. The position offers a competitive salary of up to £42,000 per year, a supportive team environment, and comprehensive training opportunities.

The position offers training opportunities up to Master Technician level and focuses on hybrid technology. More To Motor is looking for an experienced Technician in Cambridge to work in a busy dealership's workshop.

This role offers comprehensive training for those starting their career in technology sales. A leading technology services provider in the UK seeks a motivated Business Development Representative to enhance relationships with new and existing customers in critical sectors.

Candidates should be a qualified PSV/HGV Technician and have hands-on experience with heavy vehicles. The position offers a starting pay of £16/hour with opportunities for overtime and training, alongside a company pension and perks.

Enzo Tech Group is seeking an EU Recruitment Consultant in Greater London. The position emphasizes training and mentorship to ensure success and offers a competitive base salary plus uncapped commission.

Benefits include accredited professional development and in-house training. Prospero Teaching is looking for a Food Technology Teacher for a permanent, full-time position in Kings Langley, Hertfordshire. The role requires a minimum of 2 years’ experience teaching Food Technology and strong practic

A family-run truck service provider in Ipswich is looking for an experienced HGV Technician to perform service inspections and MOT preparations primarily on DAF trucks. This role offers competitive pay, fully funded training, and benefits like life assurance and holiday allowances.

This is a great opportunity to kickstart a career in technology with a well-respected company recognized for excellence in training and opportunity. Ideal candidates are tech-savvy with communication skills and a problem-solving mindset. Benefits include paid training from day one, performance revie

The successful candidate will complete mechanical service and repairs while receiving full training and support. A growing engineering company is seeking a Field Service Technician to cover a local patch in the South East, specifically London, Surrey, and Kent.

Celnor is seeking a Water Hygiene Technician/Plumber in Bristol to ensure compliance with water management services. Join Celnor for a workplace that values professionalism and offers benefits like a company van, training support, and additional annual leave options as you help deliver reliable serv

A leading UK tech retailer is seeking a dedicated individual for a driving position focused on customer service and product installation. The successful candidate will ensure timely deliveries, install various tech products, and leave a positive impression on customers. A competitive pension scheme

CityGrad in Greater London is seeking a Junior Full Stack Developer to join their innovative tech team. You will work on building resilient technology solutions and collaborate with cross-functional teams to deliver high-quality software. Ideal candidates are degree-educated in technology, passionat

Clifford Chance is seeking a Technology Learning and Development Trainer in Greater London, focusing on delivering high-quality technology training and evolving learning methods. The ideal candidate will possess proven training experience and a strong interest in modern technologies, particularly AI

The role offers competitive salary and benefits, with opportunities for career progression and training.

Key responsibilities include coordinating training for staff, leading a team of service engineers, and ensuring adherence to health and safety standards.

This fully site-based role involves overseeing projects, coordinating tasks, and assisting technicians to ensure timely delivery of test reports. A leading UK provider of specialist services is seeking a Materials Test Technician & Project Coordinator based in Watford.

Enzo Tech Group in Greater London is seeking recent graduates for the role of Graduate Recruitment Consultant. This entry-level position offers comprehensive training to equip new hires with essential recruitment skills.

OTT Leisure is seeking a part-time servicing and repair technician in the United Kingdom.

This role involves conducting high-quality inspections, providing technical support, and delivering training to clients. A leading global hygiene and energy services company is seeking a Technical Specialist in England. Benefits include training investments, flexible holiday policies, a company car,

The role offers negotiable salary based on experience as well as ongoing manufacturer-backed training on hybrid technology, presenting opportunities for progression within the company. A recruitment agency is looking for an experienced Vehicle Technician to join a busy workshop in the East Midlands.

This full-time opportunity offers training with qualified Technicians on the latest vehicle technology. A local automotive apprenticeship provider is seeking candidates for a Level 3 Heavy Vehicle Service & Maintenance Technician apprenticeship. Successful completion leads to recognized qualificatio

A growing technology recruitment firm in Greater London is seeking 8 Trainee Recruitment Consultants. The position offers first-year earnings between £35K and £45K OTE, with potential to reach £90K+ by year three, alongside world-class training and fast-track career progression opportunities.

The role involves providing high-level technical support, managing projects, driving innovation, and delivering technical training. Harrison Scott Associates is seeking a technical support professional for their award-winning label manufacturing company in the United Kingdom. The ideal candidate is

This role involves converting warm enquiries into sales, selling training courses, and managing your own sales pipeline. Offering a hybrid work environment and comprehensive training, this position is perfect for confident communicators who strive for results.

Minimum 2 years’ experience teaching Food Technology. In-house training and development team. I am currently working with a secondary school in the Hertfordshire area who are seeking a Food Technology Teacher for a permanent role.