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ML Tech Lead
Sky Romford, Essex
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
ML Tech Lead
Sky City Of Westminster, London
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Applied Machine Learning Lead
Sky Brent, London
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Applied Machine Learning Lead
Sky Islington, London
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Machine Learning Team Lead
Sky Dagenham, Essex
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Embedded Software - V&V Engineer
Matchtech Stevenage, Hertfordshire
Jan 19, 2026
Contractor
Location: Bristol OR Stevenage (fully onsite) Duration: 6 month initial contract Rate 70ph UMB (Inside IR35) Role deetails: Our client, a prominent organisation within the Defence & Security sector, is seeking Embedded Software V&V (Verification & Validation) Engineers to join their teams in Bristol and Stevenage. This is an exceptional contract opportunity to work on the forefront of technology and contribute significantly to the UK's defence capabilities. Key Responsibilities: Undertake verification and validation activities on real-time system application software for the next generation of Missile Systems. Develop requirements into robust test cases, prepare and execute tests, capture data, and deliver actionable feedback to project teams. Utilise strong practical problem-solving skills and data acquisition expertise. Adapt to various tasks and responsibilities within the lab environment on electromechanical products running embedded software. Job Requirements: Strong experience in V&V activities within an embedded software environment. Proficiency in Embedded C/C++ development. Strong problem-solving skills. Ability to work both independently and as part of a team. Good communication and documentation skills. Experience turning requirements into structured test cases and procedures. Familiarity with the complete software engineering lifecycle. Security Clearance (SC) required to start. Desirable Skills: Experience with safety-critical systems. Knowledge of standards such as DefStan 00-55, DO-178C & DO-330. Understanding of Real-Time Operating Systems. Experience with Model-Driven Design. Proficiency in test automation methods. Experience with tools such as DOORS, Engineering Workflow Management (EWM), Rapita Suite, Rhapsody, and LDRA. Breakpoint Analysis and Focused Code Reviews experience. Interested? Apply today via the link provided!
Process Operator (Shifts)
Jonathan Lee Recruitment Ltd
Jan 19, 2026
Contractor
Exciting Opportunity: Process Operator (Shifts) Are you ready to join an industry-leading company that stands at the forefront of innovation, quality, and efficiency? With over 90 years of experience, this company is a pioneer in providing high-strength, lightweight, and fatigue-resistant products made from the world's most advanced composite materials. They are currently seeking a dedicated Process Operator to become an integral part of their dynamic team. This role offers the chance to work on projects that make a real difference, in an environment that fosters growth, learning, and excellence. This role is working a rotating shifts mornings, nights and afternoons. What You Will Do: Handle raw materials, ensuring their proper delivery and setup for work streams. Accurately place cut material shapes into various tools including preform, moulding vac form, composite, and steel tooling. Safely load tools, laminates, and preforms into compression presses, ovens, or autoclaves. Carry out finishing and assembly of composite components. Manage the packing and labelling of finished products. Perform lay-up of composite materials and operate presses. Accurately record production data as required. What You Will Bring: A keen eye for detail and a commitment to maintaining high-quality standards. Ability to work effectively in a team environment as well as independently. Strong organizational skills and the capacity to manage multiple tasks simultaneously. Experience in a manufacturing or production setting, particularly within the composites or defence industries, is highly desirable. A proactive approach to problem-solving and a willingness to learn new skills. Company Contribution & Industry Information: This role is a fantastic opportunity to contribute to a company that is not just a leader in the defence sector but also a pioneer in commercial composites, serving industries such as medical, transport, aerospace, and energy. The Process Operator will play a crucial role in maintaining the company's reputation for excellence, delivering products that are up to 50% lighter than equivalent steel products while meeting the specific requirements of customers across various sectors. Location: This position is based at the company's state-of-the-art facility in Coventry, renowned for its cutting-edge armour design and military vehicle integration capabilities. Join Us: If you're passionate about making a tangible impact and ready to take your career to the next level, we want to hear from you. This is more than just a job; it's a chance to be part of a team that values innovation, excellence, and making a difference. Don't miss out on this opportunity to grow with a company that is shaping the future of the industry. Apply now to become the next Process Operator and embark on a rewarding career journey! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Electrician/Apprenticeship Coach MoD
Ernest Gordon Recruitment Limited Tidworth, Hampshire
Jan 19, 2026
Full time
Electrical Engineer/Apprenticeship Coach MoD Tidworth 37,313 ( 40,000+ once qualified ) + Car + 6% Pension + Training + Progression + Company Benefits Are you an Electrician/Electrical Engineer with a level 3 qualification or similar looking to take a step away from the tools and in a role that will help to guide the next generation of new recruits for the Ministry of Defence. Do you want to work for an organisation who have built a reputation as one of the best international UK defence companies in the world. On offer is the exciting opportunity for an Electrician/Electrical Engineer with a level 3 qualification to join one of the world's leading defence contractors. Established around 150 years ago, this defence powerhouse had remained at the forefront of innovations and has its name to some of the largest defence projects in the world. In this role, the successful Apprenticeship Coach would be responsible for travelling across sites in the south west of England which includes Tidworth, Lyneham, Warminster, Colerne, Larkhill, Bulford and more, where you will be responsible for helping people to pass their Electrical apprenticeships and obtain their level 3 qualifications. The ideal Apprenticeship Coach would have a minimum of 5 years on the tools experience as well as a minimum of an NVQ 3 or similar. Have a full UK driving license and happy to travel to sites across the UK. The Role: Travel to sites which can include Tidworth, Lyneham, Warminster, Colerne, Larkhill, Bulford and more Help Apprentices pass their level 3 qualifications. The Person: Minimum 5 years on the tools training. NVQ3 or above in Electronics, Electrical Engineering or similar. UK Driving license and happy to travel across the South West If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.
Machine Learning Team Lead
Sky Watford, Hertfordshire
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Learning and Development Teacher/Trainer MoD
Ernest Gordon Recruitment Limited Lyneham, Wiltshire
Jan 19, 2026
Full time
Learning and Development Teacher/Trainer MoD Lyneham or London 44,300 + Training + Progression + Excellent Benefits Are you a Learning and Development Specialist or similar looking to join on of the UK's, and the world's leading defence and engineering businesses. Do you want a role that is both rewarding and challenging in a business who value its employees and offer unrivalled training and progression opportunities. On offer is a rare and exciting opportunity to join a multi-billion-pound global engineering and defence company who have an industry reputation for providing one of the top training and progression programs & often works on several large-scale projects around the UK as well as the world. As an industry leader, this organisation has always been at the forefront of innovation as well as it bespoke and tailored training and development programs for the UK Armed Forces. In this role, the successful learning and development specialist would be responsible for the development, delivery and assessment of development programmes for trainers and other staff across the business unit. You will be part of a team that understands the organisations business strategy and its future capabilities in order to identify learning priorities and creating learning environments where everyone can continuously develop to be their best. The ideal Learning and Development Specialist would have proven experience in education and/or training quality assurance, and a background in delivering training within apprenticeships and/or commercial environments (AET, CET and/or CAVA). The Role: Training Development Be an integral part of the business unit contract teams, providing day-to-day support and direction on learning and development. Delivery of accredited and non-accredited programmes for staff (and where applicable Authority personnel) across the Training business unit, including AET, CET, CAVA, IQA qualifications. Design and deliver a range of learning programmes, including technical, behavioural and leadership courses Deliver training, mentoring and support to new and existing delivery staff to ensure compliance with the teaching and assessment standards and to facilitate continuous professional development. Utilise best teaching and learning approaches to ensure any training interventions are maximised. Use digital tools to create flexible and innovative learning environment. Where appropriate maximise the use of online and group delivery. Carry out capability gap analysis in conjunction with delivery teams to identify training gaps. Monitor and evaluate the effectiveness of training interventions. Drive a culture of continuous professional development. Support with the development and implementation of a competency framework (mapped to the Babcock Role Framework). Provide input to the internal quality cycle process. Quality Assurance Support deep-dive and self-assessment monitoring visits (SAMVs) on contracts in line with the quality cycle. Input findings for central consolidation. Undertake standardisation activities across the Training Development department to enhance and develop the programmes / courses and ensure consistency of marking and assessment decisions. Provide continuous improvement, including developing proposals on improved process and structures. The Person: Proven experience in education/training quality assurance. Must have a background in delivering training within apprenticeship or commercial environment and must have previous experience in delivering AET, CET and CAVA Background in delivering training within apprenticeship or commercial environments. Reference: 16688 If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered renumeration will be dependent on the extent of your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.
CAS Architect
CBSbutler Holdings Limited trading as CBSbutler Basingstoke, Hampshire
Jan 19, 2026
Full time
Cas Architect +Permanent opportunity +Hybrid working in Basingstoke / Bracknell +SC / DV cleared role - must be eligible for DV clearance + 70,000 + 6k car + 15% bonus + 10% DV allowance Skills: +Cisco Firepower +HLD / LLD +Team Leadership experience We are looking for a BPS/CAS Architect to technically lead projects in cyber monitoring and remote access within a large program. This is within the secure Defence and Government sector. You will own requirements analysis for new proposed changes, devise and propose solution changes along with any proof of concept activities to support the production of technical solutions, produce high level design collateral or govern and review design documents, and give technical leadership within the program in all phases of the project solution life-cycle. The role reports into the BPS/CAS Tech Lead. Your experience Experienced in analysis of customer requirements, with demonstrable network design (high level and low level) experience in proposing and utilizing technologies from a variety of industry leading technology vendors. Demonstrable experience of evaluating customer strategy, operations and processes and proposing technical solutions to deliver on their strategy and improve business performance. Demonstrable experience in providing Technical Leadership/Ownership and expertise to guide the design and delivery of solutions through all phases of the large-scale project life cycle. Breadth of networking knowledge to include, protocols and cyber monitoring tools. Specific skills include Juniper Switching and Configuration, WAN routing including MPLS and BGP, network gateways, VPNs, remote access solutions (e.g. AnyConnect), network encryption and tunnelling technologies, Cisco Firepower, F5 TLS Intercept, Packet Brokers, Tap Aggregators, Gigamon, SNMP, TCP, TLS (including requisite cryptography), TLS intercept, PKI, HTTP, Sockets API. Familiarity with Endace technologies, HSMs, virtualization and scripting are desirable. Understanding of technologies for collecting, analysing, and storing security event data, and to automate and orchestrate incident response workflows. Participating in requirements gathering and development of solutions on a page Experience of performance testing of cyber monitoring tools (sizing, capacity management and planning, performance troubleshooting). Solid understanding of the project end-to-end life cycle, with good commercial and financial awareness in terms of understanding risks and dependencies associated with any delivery project. Experienced in the analysis and trouble-shooting of complex issues and defects, mitigating business, technical, and operational risks, and making recommendations to senior management. Demonstrable experience of technically coordinating other technical architects and engineers, collaborating with multiple teams, supporting project managers in planning and reporting activities, service readiness, and providing guidance and support to live service teams. Excellent communications skills with multiple stakeholders, able to take ownership and responsibility and make quick decisions. Able to communicate calmly and concisely with the Customer. If you'd like to discuss this CAS Architect in more detail, please send your updated CV to (url removed) and I will get in touch.
Applied Machine Learning Lead
Sky City Of Westminster, London
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Maintenance Engineer (CNC)
Rise Technical Recruitment Limited City, Manchester
Jan 19, 2026
Full time
Maintenance Engineer (CNC) Location - Home-based - Live within 2 hours of Manchester (Liverpool, Stoke-On-Trent, Sheffield, Leeds, Blackpool, and surrounding areas) £38,000 - £40,000 (OTE £50k - £60k) + Van & Fuel Card + Premium Overtime Rates + Door-to-Door Pay + Excellent Company Benefits Are you a service or maintenance engineer with experience working / fault-finding on CNC machinery? Do you want a role that offers OEM training and the chance to boost your earnings through premium overtime and door-to-door pay? On offer is a fantastic opportunity to join a growing company that provides a great work-life balance, as well as offering training, progression, and an abundance of optional overtime. In this role, you will primarily be covering a local patch with no stayaways and within 2 hours from your house. This is an excellent chance to become part of a company known for its high-quality service and expertise in CNC machinery repairs. They are committed to supporting their engineers with ongoing training and helping them become true industry specialists. In this role, you'll travel directly from home to client sites and receive door-to-door pay, focusing on service and repair work across Manchester and surrounding areas, with some UK-wide support when needed (Not Often). This position is ideal for a Service/Maintenance Engineer with experience in fault-finding on CNC Machinery. The Role: Field Service Engineer (CNC) Door-to-door pay with on-target earnings of £50,000 - £60,000 Service of CNC Machinery The Person: Service or maintenance experience Electrical experience Based in or within commutable distance to Manchester Full UK Driving License BBBH266629 To apply for this role or to be considered for further roles, please click "Apply Now" or contact Christopher Palmer at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications, and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
B1/B2 Licensed Aircraft Engineer - Line Maintenance (Boeing)
DCS Recruitment
Jan 19, 2026
Full time
A leading aviation organization is seeking a Licensed Aircraft Engineer (B1 and/or B2) for a permanent role in Wiltshire. The position focuses on aircraft maintenance, ensuring airworthiness and safety of Boeing aircraft with a competitive salary of £79,000 - £89,000. The role offers excellent work-life balance, 25 days annual leave, and ongoing training with accommodation during training. Candidates should have experience on large aircraft and meet specific licensing requirements for this challenging opportunity in the aviation sector.
Machine Learning Engineering Lead
Sky
Jan 19, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
HV Fitter
NG Bailey Basildon, Essex
Jan 19, 2026
Full time
HV Fitter Basildon / Essex Permanent Competitive + Company vehicle + Flexible Benefits Summary Freedom's Network team are currently recruiting a Fitter - Electrical / Mechanical based in the South East due to an increase in confirmed projects with our client. The main purpose of the role is to be part of a team installing and constructing electrical power distribution and transmission systems from 400V to 132kV in a manner that delivers safe, high workmanship quality and fit for purpose networks for the customer, and which promotes the company in a positive light at all times. The Fitters deliver the installation of ground mounted and structure mounted power system components including cable systems, switchgear, transformers, busbars, relay panels and associated equipment in substations operating at up to 132kV. The Fitters are site-based teams working across the UKPN (EPN/SPN/LPN) DNO region. Some of the key deliverables in this role will include: Progress to "Authorised Person" status under the Customer's Safety Rules, allowing the individual to a) have independent access to substations containing live exposed conductors, b) to receive a permit to work and c) to supervise a working party. Perform in a professional manner to help build customer confidence and thereby contributing to the promotion of Projects Business growth. Work within all set procedures and to ensure Health and Safety is the most important element in this regard. Complete all tasks and task types allocated, increasing skill range and knowledge in the process - This can include excavation work, cable pulling, mechanical fitting, electrical fitting, and small wiring - including relay panel and telecontrol works. What we're looking for: Suitable mechanical or electrical qualification - City & Guilds, ONC, 18th Edition and/or relevant experience. Relevant practical or craft skills experience using hand tools. Basic operational knowledge of electrical or mechanical systems. Previous experience of working on HV substation sites including elec/mech fitting or jointing experience in a open Busbar environment Good operational knowledge of electrical power distribution systems. SMSTS OR SSSTS is desirable, not essential UKPN OR Other DNO Authorisations Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Company commercial vehicle Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution 25 days holiday Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps: As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us: Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. You will be working as part of a team where we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual. Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.
Bus/PCV/HGV Mechanic
Diamond Bus Company Kidderminster, Worcestershire
Jan 19, 2026
Full time
Job Description We are looking for a skilled and motivated PCV / HGV Shift Engineer to join our engineering team. You will be responsible for the inspection, maintenance, and repair of our fleet of PCVs and HGVs to ensure they are safe, reliable, and compliant with all relevant regulations. This is a shift-based role, offering variety, responsibility, and the opportunity to work with modern equipment in a supportive environment. Key Responsibilities Carry out routine servicing, inspections, and MOT preparations on PCVs/HGVs Diagnose faults and complete effective repairs to ensure vehicles are roadworthy Work to VOSA and DVSA standards at all times Accurately complete job cards, maintenance records, and compliance documentation Respond to breakdowns and ensure minimal downtime of vehicles Support apprentices and less experienced engineers where required Skills & Experience Required Recognised qualification in Heavy Vehicle Maintenance (NVQ Level 3 or equivalent) Experience working on PCVs or HGVs (dealership, fleet, or workshop background) Good understanding of hydraulic, electrical, and mechanical systems Ability to work independently and as part of a team Flexibility to work shifts and occasional overtime Full UK driving licence (PCV licence desirable but not essential) What We Offer Competitive salary up to £20.50 per hour Overtime available Company pension scheme Ongoing training and career development Modern, well-equipped workshop Free travel for you, partner and up to three children Job Types: Full-time, Permanent Pay: Up to £20.50 per hour Benefits: Company pension Free or subsidised travel On-site parking Work Location: In person