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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.

IT Support Engineer St Albans £35,000 - £45,000 Our client who is a growing MSP require an experienced IT Support Engineer. No two days will be the same, as you will work across varied technical infrastructures. You will have the opportunity to develop your skills and play a pivotal part of a customer focused support team. Our client will offer you a supportive working environment. You will be responsible for resolving 1st – 3rd line tickets end to end. Responsibilities: • Troubleshooting, installing, maintaining and supporting a wide range of IT systems, • Resolving 1st – 3rd line tickets, • Visit client sites and working remotely via phone, email and remote access, • Working on projects, improvements and migrations, • Support windows server, RDS, AD, Hyper-V and Azure environments, • Fully document tickets and update cases, • Manage devices via RMM and Intune Skills: • Proven experience of working in a similar role for an MSP, • Outstanding customer service skills, • Strong problem-solving skills, • Driving license and own car (required for client visits), • Good knowledge of networking fundamentals, • Strong Microsoft 365 admin experience, • Windows Server, AD, Intune, Security, • Hyper V and RDS knowledge, • Excellent communication skills, • Ideally have azure depth, ConnectWise and Powershell experience If you are an experienced IT Support Engineer and looking for a new challenge, in a role which will offer you variety, real responsibility, direct access to decision-makers, and you have a true passion for technology, we’d love to hear from you. This role is office based 5 days a week. Due to number of applications, we will only be able to respond to candidates with the matching skills and experience.

TPT2271 Electrical Product Manager My is a well established manufacturer of electrical and electronic products who is seeking an experience Electrical Engineer with experience in the commercial field of electrical product management. MUST UNDERSTAND OHMS LAW in order to be considered for this role. THIS IS AN OFFICE BASED ROLE IN HATFIELD, HERTS. The role is busy and diverse and includes:- Product portfolio and supplier management • Continually review the company’s product portfolio for suitability to meet the company’s strategic needs;, • Research and propose new or replacement product introductions as necessary to improve the company’s market positioning and implementation of strategy;, • Manage new or replacement product introductions completely covering all aspects of cost effective delivery to the market;, • Liaise with the QA Manager to ensure that all necessary product approvals are in place;, • Maintain the highest level of supplier relationship to ensure the company benefits from the highest level of supplier support;, • Take ownership of supplier technical, service or commercial issues and implement solutions. P&L responsibility • Continually seek cost reductions either at head-line or at individual order level to maximise the company’s gross margin returns;, • Continually review the company’s product portfolio for suitability to meet the company’s P&L and growth requirements; Inventory management • Analyse product usage history and forecasting information to manage inventory levels so as to best support business growth and minimise inventory risk (IT generated forecasting tools are to be used as a guide and final evaluation/responsibility rests with the PM);, • Continually review slow moving or redundant inventory and manage cost effective disposal to minimise the impact on the company’s margins and profitability. Sales & Marketing • Build effective relationships with key customers;, • Provide timely and effective technical and commercial support to customers and colleagues;, • Attend meetings as may be required in support of the company’s sales team either at IMO or at customer premises;, • Provide training to customers or colleagues as may be required;, • Ensure adequate marketing exposure within the company’s overall strategy and generate ideas to contribute;, • Ensure all marketing “hygiene” factors are dealt with without exception e.g. quality of literature, web presence, photos, supporting documentation, downloads etc. If you are an experienced Electrical Engineer and live within easy commuting distance of Hatfield, Herts, know OHMS LAW and have commercial experience of the above, please apply now. This is a permanent full time role, office based and we are seeking a person with strong communication skills in English Language.

Technical Support Engineer – Air Conditioning Job reference Number: Area to be covered: National (Overnight stays may be required) Based: Hemel Hempstead Remuneration: £45,000-£55,000 + Bonus Benefits: Car Allowance, health & life benefits and comprehensive benefits package The role of the Technical Support Engineer – Air Conditioning will involve: • Technical Engineer position dealing with the installation, servicing and maintenance of bespoke design and distribution of air conditioning products, • Carry out site visits and provide production of detailed reports and solutions for support requests, • Liaise with main suppliers, attend training courses and keep up-to date with application & operation of their products, • Offer front line technical support to internal staff, contractors, installers and consultants, • Production of manual page updates and technical bulletins when required, • Organisation and supervision of product manufacture for in-house and external testing The ideal applicant will be a Technical Support Engineer – Air Conditioning with: • Must have 3+ years engineering experience within the VRF/ HVAC or related field, • Must have technical knowledge of expansion units, chillers, heat pumps, air conditioning or related products, • Excellent understanding of ISO9001 standards and procedures, • Must have a Valid UK Driving Licence, CSCS card & PPE, • Ability to work on own initiative and works well with others, • Self motivated, good communicator, IT literate and hungry Mitchell Maguire is a specialist Construction Recruitment Consultancy, dealing exclusively with Construction Jobs, Construction vacancies and Specification positions within: Technical Support Engineer, Technical Engineer, Support Engineer, Engineer, HVAC Engineer, VRF, HVAC, M&E, Expansion Units, Air Conditioning, Splits, Multi Splits, Air to Water, RAC, Heating, Heat Pumps, Reversible Chillers, Plumbing & Heating and HVAC Distributors

Cyber Security Placement Programme - No Experience Required Are you looking to kick-start a new career in IT? We are recruiting for companies who are looking to employ our Cyber Security Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£24K-£45K) upon completion. We are currently placing over 100 of our graduates into new roles each month. Whether you are working full time, part time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps. Step 1 - Online Training The first step is completing a selection of professional, accredited and industry recognised IT Support courses by CompTIA, Microsoft and Cisco. The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor to help you throughout your training. Step 2 - Practical Training You will gain the practical experience by using our cutting edge Livelabs. Gaining hands-on experience is essential in today’s IT industry for both certifications and keeping up to date with new technologies. Theory is often not enough these days, companies require hands on practical experience to make sure you're job ready. Step 3 - Official exams You will then go on to sit the CompTIA A+ exams to give you the official certifications which will be recognised worldwide. The CompTIA A+ is the most commonly asked for certificate in entry level IT roles. Step 4 - IT Technician placement (£24K-£30K) You will be placed into your first role as an IT Technician, with a starting salary of anywhere between £24K-£30K. You will need to gain two years experience in this role before you can progress into a cyber security analyst role. While working as an IT Technician, we will release your second batch of training which is specifically designed to qualify you to move into the cyber security field. This will consist of online training, practical training and an official exam. Cyber Security Role Once you have completed all of the mandatory training in step four and have the required two years experience in the IT industry, you will be ready to move into your Cyber Security Technician role. We have partnered with a number of large IT companies who have a massive shortage of qualified cyber security staff. In this role the average starting salary is £45K. At a one off cost of £990, or a deposit of £206 followed by 13 interest free monthly instalments of £92, this represents a great opportunity to start a rewarding career in IT 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. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Read through the information? Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch. Keywords: IT Security, Cyber Security IT Support, IT Technician, Support Engineer, 1st Line Support, and 2nd Line Support, First Line Support, Second Line Support, Trainee, Training Course, Support, It Security, IT Security Technician, Trainee IT Security, Trainee Cyber Security Technician, It Security engineer, IT Security engineer, Trainee IT Security engineer, Trainee Cyber Security engineer 'Please note that this is a training course and fees apply’

Wide-Format Print Applications Specialist 📍 Hemel Hempstead (Primarily Showroom-Based) £38,000–£45,000 DOE + Fully Expensed Electric Vehicle + Bonus Colourbyte is a leading UK supplier of wide-format printers, RIP software and colour-managed print solutions. We’re looking for an experienced large-format print professional to join our Hemel Hempstead showroom team. This is an applications-focused workflow and colour management role - not a hardware repair engineer position and not an IT support role. What You'll Be Doing • Installing and configuring wide-format printers and finishing equipment, • Setting up and optimising RIP software (ONYX, EFI, CADLINK), • Colour profiling and media testing, • Delivering customer training and demonstrations, • Producing samples and supporting the sales team, • Maintaining showroom equipment in demo-ready condition, • Occasional UK customer site installations This role is primarily showroom-based, with structured customer site visits when required. Applicants must live within reasonable commuting distance of Hemel Hempstead. Essential Experience • Hands-on experience using wide-format printers in a production or application environment, • Strong working knowledge of RIP software (ONYX, EFI or similar), • Experience with colour management and media profiling, • Background in signage, graphics or large-format production, • Confident customer-facing communication, • Full UK driving licence Applications from candidates with only IT support, networking, programming or cyber security backgrounds will not be considered. Package • £38,000–£45,000 depending on experience, • Fully expensed electric company vehicle (low BIK), • Discretionary annual bonus, • Life insurance, • Monday–Friday, 9–5:30 (no callout rota) If you’re currently working in large-format print production or as an applications specialist and want a more varied, customer-facing role with a leading UK supplier, we’d love to hear from you.

IT Security Engineer (Hybrid: 3 days on-site in Hertfordshire / 2 days remote) | £45–50k | Permanent SR2 is partnering with a well-established, member-owned UK organisation to hire an IT Security Engineer to strengthen cyber resilience and improve day-to-day security operations. This is a hands-on role sitting within IT, working closely with infrastructure and support teams to embed security into BAU and projects. What you’ll be doing • Own day-to-day vulnerability monitoring and remediation, including maintaining a vulnerability register and tracking actions to closure, • Triage, categorise and prioritise vulnerabilities based on risk, exposure and business impact, • Support patching, configuration hardening and decommissioning activities to reduce risk exposure, • Monitor and respond to security alerts and incidents, contributing to investigation and improvement actions, • Help improve detection and response capability (more proactive monitoring and response workflows), • Work with external providers (e.g., SOC / security vendors) to reduce high-priority risks, • Develop and maintain security playbooks (phishing, ransomware, account compromise, etc.), • Provide security input into projects, changes and supplier reviews so security is built-in from the start, • Support audits / assessments (e.g., vulnerability assessments, pen tests, configuration benchmarks, PCI where relevant), • Contribute to awareness initiatives and practical security guidance across the business, • Support progress against NIST CSF focus areas and maturity improvements What we’re looking for • 3+ years in security operations / cybersecurity engineering (or strong IT ops experience with security ownership), • Strong understanding of vulnerability management processes and risk-based prioritisation, • Familiarity with email + endpoint security controls (e.g., Defender-style toolsets, phishing controls, email security), • Awareness of IAM concepts: MFA, conditional access, privileged access/PIM, • Comfortable working with technical teams to get remediation delivered (patching cycles, change, infrastructure support), • Clear communicator who can explain risk to both technical and non-technical stakeholders, • Bonus points for: SIEM exposure, threat hunting, cloud security, automation/scripting, infrastructure/networking Package • £45–50k salary range, • Private medical insurance, life assurance, permanent health insurance, • Staff discount, interest-free loan scheme, sports & social club Working pattern • Hybrid: 3 days per week on-site in Hertfordshire, 2 days remote, • Full-time: 37.5 hours/week

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Keywords:IT Security, Cyber Security IT Support, IT Technician, Support Engineer, 1st Line Support, and 2nd Line Support, First Line Support, Second Line Support, Trainee, Training Course, Support, Network Engineer, IT Network Technician, IT Network Support, Trainee Network Engineer, Networking, Ju

If you are an experienced IT Support Engineer and looking for a new challenge, in a role which will offer you variety, real responsibility, direct access to decision-makers, and you have a true passion for technology, we’d love to hear from you.

Candidates should have proven experience in an MSP environment and strong problem-solving skills.

A leading IT services provider is seeking an IT Field Delivery Engineer to support customers in the Southern Territory including St Albans. The position includes responsibilities such as diagnosing and repairing IT equipment and ensuring customer satisfaction. The salary package ranges from £26,000

A growing managed service provider in St Albans is seeking an experienced IT Support Engineer.This role involves troubleshooting and maintaining IT systems, resolving 1st to 3rd line tickets, and working with various technical infrastructures.Candidates should be familiar with Microsoft 365, Windows

Quality Inspector Precision Machined Components Location: Kings Langley, Hertfordshire Salary: Up to £50,000 per annum Employment Type: Full-Time | Permanent Benefits Modern, state-of-the-art CNC manufacturing and inspection facility Approachable and transparent management team Ongoing training and career development Friendly, supportive working environment 25 days holiday plus Bank Holidays Company pension scheme PPE provided Overview An excellent opportunity to join a high-precision CNC manufacturing business specialising in complex machined components for sectors including aerospace, defence, motorsport and robotics. Based in a clean, modern engineering facility, this role focuses on mechanical quality inspection of tight-tolerance parts produced using advanced CNC machining processes. You will play a key role in ensuring components meet exact customer, drawing and quality standard requirements. Key Responsibilities Mechanical inspection of precision machined parts and components Manual and visual inspection using precision measuring equipment Operate CMMs and interpret inspection results Verify CMM reports through manual inspection where required Complete First Article Inspection (FAI) reports Compile Certificates of Conformity and quality documentation Maintain full component traceability and document control Liaise with machining teams and management on quality issues Support problem-solving and continuous improvement activities Skills & Experience Strong attention to detail and methodical working approach Experience inspecting tight-tolerance machined components Confident working from engineering drawings Organised, reliable and able to prioritise workload Analytical mindset with good problem-solving ability Comfortable working independently and as part of a team Basic IT skills (Microsoft Office) Advantageous Experience CMM inspection experience (PC-DMIS preferred) Use of Visual FAIR / Q-Pulse Experience working to AS9100 or ISO 9001 standards Strong understanding of GD&T Background in subcontract precision machining environments Minimum 2 years quality inspection experience Hours of Work Day OR Night shifts available DAYS: Monday to Friday: 8am to 4pm NIGHTS: 5pm to 5am Monday to Thursday Shift premium uplift of 20% Regular overtime available (typically 10+ hours per week) Overtime paid at x1.5 Why Apply? This is a chance to join a well-invested, high-precision engineering business where quality inspection genuinely matters . Youll work in a clean, modern environment inspecting complex, tight-tolerance machined components for demanding sectors, using advanced CNC and inspection equipment. The role offers long-term stability , regular paid overtime , and clear opportunities to develop your skills within a supportive, engineer-led team that values accuracy, consistency and continuous improvement. TPBN1_UKTJ

Field Service Engineer, Medical Sterilisation Systems Autoclaves / Washer Disinfectors Overall Earnings £55,000+ Basic Salary £40,000 to £47,000 Bonus Overtime Circa £5,000 Hybrid Company Car Excellent Benefits Full and Comprehensive Product Training An opportunity for a field service engineer with experience of sterilisation systems, autoclaves or washer disinfectors to join a market leader with excellent training and career opportunities The Role - Field Service Engineer, Medical Sterilisation Systems Following expansion, they seek to recruit a customer focused Field Service Engineer, responsible for the service, installation, repair and general maintenance of their range of highly advanced sterilisation and endoscope washer disinfectors. Your Background - Field Service Engineer, Medical Sterilisation Systems To be considered for this exciting role you must be able to demonstrate: A strong background working in a field service or technical support role Previous experience working on endoscope washers, medical / laboratory autoclaves, sterilisation systems or washer disinfectors A HTM, STM or WTM qualification Impeccable customer service skills An interest in IT The ability to remain confident in customer facing environments The Company - Field Service Engineer, Medical Sterilisation Systems Well established supplier of specialist medical and laboratory equipment This instantly recognisable market leader is renowned for their forward-thinking products, support services and complete solutions that include sterilisation systems, washer disinfectors and autoclaves used within the healthcare, life sciences, pharmaceutical and industrial market sectors A market leader in a number of equipment technologies and enjoy 'best in class' status with a number of their innovative systems This vacancy is being advertised by TRS Consulting. The services advertised by TRS Consulting are those of an employment agency and / or an employment business. TPBN1_UKTJ

Network Engineer Placement Programme - No Experience Required Our training will help you kick-start a new career in Network Engineering We are recruiting for companies who are looking to employ our Network Engineer Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee upon completion. Whether you are working full time, part time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 8-12 weeks: Step 1 - Online Training The first step is completing a selection of professional, accredited and industry recognised IT Support courses by CompTIA, Microsoft and Cisco. The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor to help you throughout your training. Step 2 – Practical Training You will gain the practical experience by using our cutting edge Livelabs. Gaining hands-on experience is essential in today’s IT industry for both certifications and keeping up to date with new technologies. Theory is often not enough these days, companies require hands on practical experience to make sure you're job ready. Step 3 – Official exams You will then go on to sit the CompTIA A+ exams to give you the official certifications which will be recognised worldwide. The CompTIA A+ is the most commonly asked for certificate in entry level IT roles. Step 4 – IT Technician placement You will be placed into your first role as an IT Technician, with a great starting salary. You will need to gain two years experience in this role before you can progress into a Network Engineer role. While working as an IT Technician, we will release your second batch of training which is specifically designed to qualify you to move into the networking field. This will consist of online training, practical training and an official exam. Network Engineer Role Once you have completed all of the mandatory training in step four and have the required two years experience in the IT industry, you will be ready to move into your Network Engineer role. We have partnered with a number of large IT companies who have a massive shortage of qualified Network Engineers. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £104, this represents a great opportunity to start a rewarding career in IT 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. Read through the information? Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply