Purchasing Administrator Mansfield - office based c 26k+ and excellent benefits Depn on experience TurnerFox Recruitment is working with a successful and growing engineering business to recruit a Purchasing Administrator to support their projects and operations team. This role is focused on processing purchase orders against existing supplier contracts, ensuring materials and services are ordered accurately, on time, and within budget. The role of Purchasing Administrator will involve: Purchasing / processing orders with existing suppliers Liaising with the shop floor to manage goods inward and job boxes to ensure parts are available for build Processing project, site, ad hoc, and stock purchase orders Updating and maintaining project material lists Monitoring supplier progress reports and expediting orders where required Managing returns, credits, and purchasing queries Arranging transport, deliveries, and parcel collections Sourcing and booking accommodation and travel as required Supporting project administration and document control Producing delivery packs for completed projects Assisting with contract renewals and supplier records Maintain PPE Record General administrative support across purchasing, projects, and operations The Ideal Candidate for the role of Purchasing Administrator: Previous experience in purchasing administration or order processing Strong attention to detail and organisational skills Confident using systems, spreadsheets, and supplier portals Comfortable working in a fast-paced engineering or manufacturing environment Proactive and reliable with a strong team focus Don't miss out apply today Unfortunately, due to the volume of applications received we are unable to respond with feedback to all applicants. If you have not heard from us via telephone or email within 3 days, please assume that your application has been unsuccessful on this occasion. Thank you for applying with us. TurnerFox Recruitment Team Purchasing Administrator, Procurement Administrator, Purchasing Assistant, Procurement Assistant, Order Processing Administrator, Supply Chain Administrator, Purchasing Coordinator, Procurement Coordinator, Operations Administrator, Project Purchasing Administrator, Engineering Purchasing Administrator, Manufacturing Purchasing Administrator, Technical Purchasing Administrator, Purchasing Administrator / Procurement Assistant, Purchasing Administrator (Order Processing), Procurement Administrator - Engineering
Mar 10, 2026
Full time
Purchasing Administrator Mansfield - office based c 26k+ and excellent benefits Depn on experience TurnerFox Recruitment is working with a successful and growing engineering business to recruit a Purchasing Administrator to support their projects and operations team. This role is focused on processing purchase orders against existing supplier contracts, ensuring materials and services are ordered accurately, on time, and within budget. The role of Purchasing Administrator will involve: Purchasing / processing orders with existing suppliers Liaising with the shop floor to manage goods inward and job boxes to ensure parts are available for build Processing project, site, ad hoc, and stock purchase orders Updating and maintaining project material lists Monitoring supplier progress reports and expediting orders where required Managing returns, credits, and purchasing queries Arranging transport, deliveries, and parcel collections Sourcing and booking accommodation and travel as required Supporting project administration and document control Producing delivery packs for completed projects Assisting with contract renewals and supplier records Maintain PPE Record General administrative support across purchasing, projects, and operations The Ideal Candidate for the role of Purchasing Administrator: Previous experience in purchasing administration or order processing Strong attention to detail and organisational skills Confident using systems, spreadsheets, and supplier portals Comfortable working in a fast-paced engineering or manufacturing environment Proactive and reliable with a strong team focus Don't miss out apply today Unfortunately, due to the volume of applications received we are unable to respond with feedback to all applicants. If you have not heard from us via telephone or email within 3 days, please assume that your application has been unsuccessful on this occasion. Thank you for applying with us. TurnerFox Recruitment Team Purchasing Administrator, Procurement Administrator, Purchasing Assistant, Procurement Assistant, Order Processing Administrator, Supply Chain Administrator, Purchasing Coordinator, Procurement Coordinator, Operations Administrator, Project Purchasing Administrator, Engineering Purchasing Administrator, Manufacturing Purchasing Administrator, Technical Purchasing Administrator, Purchasing Administrator / Procurement Assistant, Purchasing Administrator (Order Processing), Procurement Administrator - Engineering
We're looking for a Senior Engineer to join our Design team based in Speke, Liverpool or Wymondham. Kier Design are a top-25 engineering consultancy, delivering a wide range of services across all sectors of the built environment, providing construction-focused, innovative and sustainable solutions. We have preferential access to Kier's £11bn+ project pipeline, including mega projects like High Speed 2 and Hinkley Point C, frameworks with national and local government and other public bodies, and a range of other interesting projects in every sector of the built environment. Within this role, you can enjoy competitive annual holiday entitlement with opportunities to buy leave, a fantastic, matched pension scheme, a share in the success you help to create by investing in Kier through our Sharesave and Share Incentive Plans and even more Location : Speke, Liverpool or Wymondham Hours : 37.5 hours per week - some flexibility on hours available if desired, just let us know when you speak to us Salary : £55,000 - £59,500 per year + benefits We are unable to offer certificates of sponsorship to any candidates in this role. What will you be responsible for? As a Senior Engineer , you'll lead structural design projects and mentor junior team members, delivering exceptional engineering solutions for our clients. Your day to day will include: Producing and checking structural design calculations, drawings, models, reports, specifications, and schedules Coordinating design information within the structural team and across disciplines such as Architecture, Civil Engineering, and Building Services Acting as lead structural designer on major building projects Conducting site surveys and inspections, and representing the structural team at project meetings What are we looking for? This role of Senior Engineer is great for you if: A degree in Structural or Civil Engineering (BSc, MSc, BEng, or MEng) Strong knowledge of CDM Regulations, UK construction techniques, and Building Regulations Experience in site inspections and identifying structural defects Rewards and benefits We're proud to be able to offer our brilliant people a wide variety of benefits that you can tailor to your needs. You can see more information of benefits here . Diversity and inclusion Making Kier a diverse and inclusive place to work is a huge priority for us. We're proud of the steps we've taken so far, but we know we must always do more. Our employees are key in shaping Kier's diversity and inclusion initiatives and our people have made a huge impact on how we work, by using their experiences to shape our policies. You can see our D&I action plan here . We look forward to seeing your application to join the
Mar 10, 2026
Full time
We're looking for a Senior Engineer to join our Design team based in Speke, Liverpool or Wymondham. Kier Design are a top-25 engineering consultancy, delivering a wide range of services across all sectors of the built environment, providing construction-focused, innovative and sustainable solutions. We have preferential access to Kier's £11bn+ project pipeline, including mega projects like High Speed 2 and Hinkley Point C, frameworks with national and local government and other public bodies, and a range of other interesting projects in every sector of the built environment. Within this role, you can enjoy competitive annual holiday entitlement with opportunities to buy leave, a fantastic, matched pension scheme, a share in the success you help to create by investing in Kier through our Sharesave and Share Incentive Plans and even more Location : Speke, Liverpool or Wymondham Hours : 37.5 hours per week - some flexibility on hours available if desired, just let us know when you speak to us Salary : £55,000 - £59,500 per year + benefits We are unable to offer certificates of sponsorship to any candidates in this role. What will you be responsible for? As a Senior Engineer , you'll lead structural design projects and mentor junior team members, delivering exceptional engineering solutions for our clients. Your day to day will include: Producing and checking structural design calculations, drawings, models, reports, specifications, and schedules Coordinating design information within the structural team and across disciplines such as Architecture, Civil Engineering, and Building Services Acting as lead structural designer on major building projects Conducting site surveys and inspections, and representing the structural team at project meetings What are we looking for? This role of Senior Engineer is great for you if: A degree in Structural or Civil Engineering (BSc, MSc, BEng, or MEng) Strong knowledge of CDM Regulations, UK construction techniques, and Building Regulations Experience in site inspections and identifying structural defects Rewards and benefits We're proud to be able to offer our brilliant people a wide variety of benefits that you can tailor to your needs. You can see more information of benefits here . Diversity and inclusion Making Kier a diverse and inclusive place to work is a huge priority for us. We're proud of the steps we've taken so far, but we know we must always do more. Our employees are key in shaping Kier's diversity and inclusion initiatives and our people have made a huge impact on how we work, by using their experiences to shape our policies. You can see our D&I action plan here . We look forward to seeing your application to join the
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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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.
Mar 10, 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. 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's 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. or Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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 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.
Mar 10, 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 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 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.
LOCATION: REGENT ARCADE SHOPPING CENTRE HOURS: 42 hours per week SHIFT PATTERN: 12-hour shifts 3on 3off PAY RATE: £13.00 per hour If you require any additional support or adjustments during the recruitment process, please don't hesitate to contact our Recruitment Department . We're here to help! ABM UK is currently seeking a dedicated and experienced Security Officer to join our team. As a Security Officer will ensure exemplary standards of Security and Customer Service are always provided to the client and visitors to the site. The Security Officer is the public face of the Security Team & Client and should always act with professionalism. A can-do attitude is essential in this highly influential role. KEY RESPONSIBILITIES To readily interact with all visitors/tenants within the shopping centre, delivering first class customer focused service. Carry out regular patrols of the shopping centre as detailed in the site Assignment Instructions. Be professional, pleasant, friendly, courteous, and helpful always. To ensure exemplary standards in personal grooming, strictly adhering to the site uniform requirements. To ensure that the site is a safe and non-threatening environment for all visitors/tenants. Liaising with site control room proactively reacting to incidents. Help third party contractors/visitors ensuring all site procedures/policies are adhered to. To liaise closely with statutory authorities, dealing with incidents. Ensure radio procedures are always adhered to. Undertake any other reasonable duties as required to meet the needs of the business. N.B - Core tasks are as above, although this list is not exhaustive. REQUIRED SKILLS AND EXPERIENCE Valid SIA Licence(s) Have knowledge of Assignment Instructions (AI's) Excellent written and verbal communication skills Customer/Client focused. Must be able to work under pressure. Computer literacy required. ESSENTIAL SIA Guarding or Door Supervisor license. SIA CCTV license is desirable, or the willingness to work towards. We're proud to offer a great range of benefits including: 24/7 GP: Both you and your immediate family can speak to a UK-based GP from the comfort of your own home Mental Health support and Life Event Counseling Get Fit Programme Financial and legal support Cycle to work scheme Access Perks at Work, our innovative employee app where you can find: Perks: discounts, gift cards, cashback, and exclusive offers Life: Search for resources and tools on topics ranging from family and life to health, money and work Support: Online chat or telephone service for urgent support in a crisis About ABM: ABM (NYSE: ABM) is one of the world's largest providers of integrated facility, engineering, and infrastructure solutions. Every day, over 100,000 team members deliver essential services that make spaces cleaner, safer, and efficient, enhancing the overall occupant experience. ABM serves a wide range of market sectors including commercial real estate, aviation, mission critical, and manufacturing and distribution. With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Committed to creating smarter, more connected spaces, ABM is investing in the future to meet evolving challenges and build a healthier, thriving world. ABM: Driving possibility, together. ABM are committed to employment practices that promote diversity and inclusion in employment regardless of age, disability, gender reassignment, sex, marriage and civil partnership status, pregnancy and maternity status, race, religion or belief. We are proud members of the Armed Forces Covenant Employer Recognition Scheme.
Mar 10, 2026
Full time
LOCATION: REGENT ARCADE SHOPPING CENTRE HOURS: 42 hours per week SHIFT PATTERN: 12-hour shifts 3on 3off PAY RATE: £13.00 per hour If you require any additional support or adjustments during the recruitment process, please don't hesitate to contact our Recruitment Department . We're here to help! ABM UK is currently seeking a dedicated and experienced Security Officer to join our team. As a Security Officer will ensure exemplary standards of Security and Customer Service are always provided to the client and visitors to the site. The Security Officer is the public face of the Security Team & Client and should always act with professionalism. A can-do attitude is essential in this highly influential role. KEY RESPONSIBILITIES To readily interact with all visitors/tenants within the shopping centre, delivering first class customer focused service. Carry out regular patrols of the shopping centre as detailed in the site Assignment Instructions. Be professional, pleasant, friendly, courteous, and helpful always. To ensure exemplary standards in personal grooming, strictly adhering to the site uniform requirements. To ensure that the site is a safe and non-threatening environment for all visitors/tenants. Liaising with site control room proactively reacting to incidents. Help third party contractors/visitors ensuring all site procedures/policies are adhered to. To liaise closely with statutory authorities, dealing with incidents. Ensure radio procedures are always adhered to. Undertake any other reasonable duties as required to meet the needs of the business. N.B - Core tasks are as above, although this list is not exhaustive. REQUIRED SKILLS AND EXPERIENCE Valid SIA Licence(s) Have knowledge of Assignment Instructions (AI's) Excellent written and verbal communication skills Customer/Client focused. Must be able to work under pressure. Computer literacy required. ESSENTIAL SIA Guarding or Door Supervisor license. SIA CCTV license is desirable, or the willingness to work towards. We're proud to offer a great range of benefits including: 24/7 GP: Both you and your immediate family can speak to a UK-based GP from the comfort of your own home Mental Health support and Life Event Counseling Get Fit Programme Financial and legal support Cycle to work scheme Access Perks at Work, our innovative employee app where you can find: Perks: discounts, gift cards, cashback, and exclusive offers Life: Search for resources and tools on topics ranging from family and life to health, money and work Support: Online chat or telephone service for urgent support in a crisis About ABM: ABM (NYSE: ABM) is one of the world's largest providers of integrated facility, engineering, and infrastructure solutions. Every day, over 100,000 team members deliver essential services that make spaces cleaner, safer, and efficient, enhancing the overall occupant experience. ABM serves a wide range of market sectors including commercial real estate, aviation, mission critical, and manufacturing and distribution. With over $8 billion in annual revenue and a blue-chip client base, ABM delivers innovative technologies and sustainable solutions that enhance facilities and empower clients to achieve their goals. Committed to creating smarter, more connected spaces, ABM is investing in the future to meet evolving challenges and build a healthier, thriving world. ABM: Driving possibility, together. ABM are committed to employment practices that promote diversity and inclusion in employment regardless of age, disability, gender reassignment, sex, marriage and civil partnership status, pregnancy and maternity status, race, religion or belief. We are proud members of the Armed Forces Covenant Employer Recognition Scheme.
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 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.
Mar 10, 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 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 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.
IT Support Engineer North Bristol (5 days a week on site) Up to £28,000 per annum VIQU have partnered with a growing organisation who are expanding their IT capabilities and so hiring an IT support engineer to provide first line IT support to two offices and multiple sites across the UK. This is an exciting opportunity to join an organisation who's IT department has doubled over the last year, meanin click apply for full job details
Mar 10, 2026
Full time
IT Support Engineer North Bristol (5 days a week on site) Up to £28,000 per annum VIQU have partnered with a growing organisation who are expanding their IT capabilities and so hiring an IT support engineer to provide first line IT support to two offices and multiple sites across the UK. This is an exciting opportunity to join an organisation who's IT department has doubled over the last year, meanin click apply for full job details
Job Title: Head of Capability and Resilience Portfolio Location: Plymouth, Devon Compensation: Competitive + Benefits Role Type: Full time / Permanent Role ID: SF68503 At Babcock we're working to create a safe and secure world, together, and if you join us, you can play your part as Head of Capability and Resilience Portfolio at our Devonport Royal Dockyard site. The role As Head of Capability and Resilience Portfolio, you'll lead one of the most strategically significant portfolios within Babcock. This is an exceptional opportunity to drive the successful implementation and delivery of major programmes that strengthen the capability, capacity and resilience across Devonport, the largest naval support site in Western Europe. Day-to-day, you'll play a vital role in safeguarding national defence by aligning strategic investments, accelerating improvements to operational infrastructure, embedding high-quality governance and ensuring the delivery of benefits that directly support the Royal Navy. This is a senior leadership position where your influence will shape the future of the site and contribute to meaningful, long term improvements for the organisation, our customers and wider UK defence. Lead the overall CCR portfolio strategy, ensuring alignment with Babcock's corporate goals and long term business planning. Oversee portfolio level governance, ensuring strong decision making, risk management and clear benefit tracking. Shape and manage resource and capacity planning, working closely with HR, finance and delivery teams to resolve constraints. Engage senior leaders and external partners, building trusted relationships and communicating progress with clarity and confidence. Drive continuous improvement, embedding best practice portfolio, programme and project management across the organisation. This role is full time, 35 hours per week and is based on site at Devonport Royal Dockyard. Essential experience of the Head of Capability and Resilience Portfolio Significant experience leading large, complex portfolios in environments such as defence, public sector, regulated industry, infrastructure or technology. Proven ability to oversee multi million pound portfolios with complex interdependencies. Strong understanding of portfolio, programme and project methodologies (e.g., MoP, MSP, PRINCE2, Agile). Demonstrated leadership and influencing capability at executive or board level. Strong financial acumen, including experience with business cases, investment appraisal and benefits tracking. Qualifications for the Head of Capability and Resilience Portfolio Degree level education in a relevant discipline or equivalent experience. Extensive recent and relevant experience in a similar environment or business sector. Additional qualifications in portfolio management, strategy, organisational design or advanced programme leadership - Desirable Security Clearance The successful candidate must be able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (). What we offer Generous holiday allowance Matched contribution pension scheme, with life assurance Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ Employee shopping savings portal Payment of Professional Fees Reservists in the armed forces receive 10-days special paid leave Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. This Window opens February through to March annually. 'Be Kind Day' enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity Babcock We're Babcock - a global FTSE 100 organisation with over 26,000 people working together to make a difference. Here, you'll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we're building a future that lasts - not just through the impact we make, but through meaningful careers that respect your work-life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email with the subject header 'Reasonable adjustments requirement'. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview. Closing date: 19/03/2026
Mar 10, 2026
Full time
Job Title: Head of Capability and Resilience Portfolio Location: Plymouth, Devon Compensation: Competitive + Benefits Role Type: Full time / Permanent Role ID: SF68503 At Babcock we're working to create a safe and secure world, together, and if you join us, you can play your part as Head of Capability and Resilience Portfolio at our Devonport Royal Dockyard site. The role As Head of Capability and Resilience Portfolio, you'll lead one of the most strategically significant portfolios within Babcock. This is an exceptional opportunity to drive the successful implementation and delivery of major programmes that strengthen the capability, capacity and resilience across Devonport, the largest naval support site in Western Europe. Day-to-day, you'll play a vital role in safeguarding national defence by aligning strategic investments, accelerating improvements to operational infrastructure, embedding high-quality governance and ensuring the delivery of benefits that directly support the Royal Navy. This is a senior leadership position where your influence will shape the future of the site and contribute to meaningful, long term improvements for the organisation, our customers and wider UK defence. Lead the overall CCR portfolio strategy, ensuring alignment with Babcock's corporate goals and long term business planning. Oversee portfolio level governance, ensuring strong decision making, risk management and clear benefit tracking. Shape and manage resource and capacity planning, working closely with HR, finance and delivery teams to resolve constraints. Engage senior leaders and external partners, building trusted relationships and communicating progress with clarity and confidence. Drive continuous improvement, embedding best practice portfolio, programme and project management across the organisation. This role is full time, 35 hours per week and is based on site at Devonport Royal Dockyard. Essential experience of the Head of Capability and Resilience Portfolio Significant experience leading large, complex portfolios in environments such as defence, public sector, regulated industry, infrastructure or technology. Proven ability to oversee multi million pound portfolios with complex interdependencies. Strong understanding of portfolio, programme and project methodologies (e.g., MoP, MSP, PRINCE2, Agile). Demonstrated leadership and influencing capability at executive or board level. Strong financial acumen, including experience with business cases, investment appraisal and benefits tracking. Qualifications for the Head of Capability and Resilience Portfolio Degree level education in a relevant discipline or equivalent experience. Extensive recent and relevant experience in a similar environment or business sector. Additional qualifications in portfolio management, strategy, organisational design or advanced programme leadership - Desirable Security Clearance The successful candidate must be able to achieve and maintain Security Check (SC) security clearance for this role. Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at United Kingdom Security Vetting: clearance levels - GOV.UK (). What we offer Generous holiday allowance Matched contribution pension scheme, with life assurance Access to a Digital GP, annual health check, and nutritional consultations through Aviva DigiCare+ Employee shopping savings portal Payment of Professional Fees Reservists in the armed forces receive 10-days special paid leave Holiday Trading is a benefit that allows UK Babcock employees to buy additional leave or to sell up to one working week of annual leave from their annual entitlement. This Window opens February through to March annually. 'Be Kind Day' enables employees to take one working day's paid leave a year (or equivalent hours) to undertake volunteering work with their chosen organisation or registered charity Babcock We're Babcock - a global FTSE 100 organisation with over 26,000 people working together to make a difference. Here, you'll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we're building a future that lasts - not just through the impact we make, but through meaningful careers that respect your work-life balance. We call that lifetime engineering. Join us and see how far we can go, together. We are a disability confident committed employer. If you have a disability or need any reasonable adjustments during the application and selection stages, please email with the subject header 'Reasonable adjustments requirement'. We're committed to building an inclusive culture where everyone's free to thrive. We are happy to talk about flexible working - please ask about alternative patterns of work at interview. Closing date: 19/03/2026
Project & Programme Administrator Location: Gateshead Office-based Contract: Permanent Full-Time (Monday - Friday) Salary: 28,500 per annum (DOE) Start: ASAP / Immediate Summary Join our client, a thriving engineering organisation, as a Project & Programme Administrator ! You'll play a pivotal role in supporting diverse programmes and projects, working closely with Project Managers, Operations teams, and clients. If you're proactive, organised, and ready to make an impact, this is the role for you. Perks & Benefits Monday to Friday, 8:00 AM - 5:00 PM Full office-based role Includes a 30-minute unpaid lunch and two 15-minute unpaid breaks Free onsite parking 24 days annual leave + birthday off + public holidays Long service benefits, including pension contribution matching and extra annual leave Enhanced maternity and paternity pay Corporate rate private healthcare plan The Role As a Project & Programme Administrator, you will be at the heart of project coordination, ensuring programmes are accurately planned, resourced, and documented. Your input will be key in helping projects run smoothly, efficiently, and to schedule. Key Responsibilities Keep project schedules and key dates up to date and record weekly meeting notes. Capture weekly progress updates, lessons learned, and any planning changes. Maintain project trackers, Gantt charts, and client documentation. Manage weekly Change Requests (CRs) to ensure everything is accurate and complete. Plan weekly and longer-term labour requirements for all programmes. Communicate upcoming labour needs clearly to the teams. Keep track of where Operations and VMO2 teams are working. Take part in internal planning meetings to make sure resources are aligned. Lead client progress calls and provide structured programme updates. Keep track of project issues and feed them into client reporting. Send Practical Completion (PC) emails and handover documentation. Make sure all stakeholders are informed and aligned throughout the project. Upload and check CDM documentation and carry out regular compliance checks. Ensure EVision is set up correctly for each project. Record and manage received Purchase Orders (POs). Process Sales Order Confirmations. Attend resource and labour meetings to make sure delivery aligns with the programme. About You Previous experience as a Project Administrator, Programme Administrator, or in a similar coordination role Strong organisational and planning skills Confident communicator, comfortable liaising with internal teams and clients High attention to detail with excellent documentation skills Proficient in MS Office (Excel, Word, Outlook) and project tracking systems Please apply today!Please note that we are unable to provide individual feedback at this stage. If you are shortlisted, you will be contacted directly. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Mar 10, 2026
Full time
Project & Programme Administrator Location: Gateshead Office-based Contract: Permanent Full-Time (Monday - Friday) Salary: 28,500 per annum (DOE) Start: ASAP / Immediate Summary Join our client, a thriving engineering organisation, as a Project & Programme Administrator ! You'll play a pivotal role in supporting diverse programmes and projects, working closely with Project Managers, Operations teams, and clients. If you're proactive, organised, and ready to make an impact, this is the role for you. Perks & Benefits Monday to Friday, 8:00 AM - 5:00 PM Full office-based role Includes a 30-minute unpaid lunch and two 15-minute unpaid breaks Free onsite parking 24 days annual leave + birthday off + public holidays Long service benefits, including pension contribution matching and extra annual leave Enhanced maternity and paternity pay Corporate rate private healthcare plan The Role As a Project & Programme Administrator, you will be at the heart of project coordination, ensuring programmes are accurately planned, resourced, and documented. Your input will be key in helping projects run smoothly, efficiently, and to schedule. Key Responsibilities Keep project schedules and key dates up to date and record weekly meeting notes. Capture weekly progress updates, lessons learned, and any planning changes. Maintain project trackers, Gantt charts, and client documentation. Manage weekly Change Requests (CRs) to ensure everything is accurate and complete. Plan weekly and longer-term labour requirements for all programmes. Communicate upcoming labour needs clearly to the teams. Keep track of where Operations and VMO2 teams are working. Take part in internal planning meetings to make sure resources are aligned. Lead client progress calls and provide structured programme updates. Keep track of project issues and feed them into client reporting. Send Practical Completion (PC) emails and handover documentation. Make sure all stakeholders are informed and aligned throughout the project. Upload and check CDM documentation and carry out regular compliance checks. Ensure EVision is set up correctly for each project. Record and manage received Purchase Orders (POs). Process Sales Order Confirmations. Attend resource and labour meetings to make sure delivery aligns with the programme. About You Previous experience as a Project Administrator, Programme Administrator, or in a similar coordination role Strong organisational and planning skills Confident communicator, comfortable liaising with internal teams and clients High attention to detail with excellent documentation skills Proficient in MS Office (Excel, Word, Outlook) and project tracking systems Please apply today!Please note that we are unable to provide individual feedback at this stage. If you are shortlisted, you will be contacted directly. Office Angels is an employment agency and business. We are an equal-opportunities employer who puts expertise, energy and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, abilities and more. By showcasing talents, skills and unique experiences in an inclusive environment, we help individuals thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. Office Angels acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Office Angels UK is an Equal Opportunities Employer. By applying for this role your details will be submitted to Office Angels. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
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 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.
Mar 10, 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 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 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.
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 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.
Mar 10, 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 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 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.
Assist with the administration and coordination of BPSS, SC, and DV applications in accordance with GOVs007, HMG Personnel Security Controls, and MOD policy. Review BPSS screening checks, identity verification, and pre employment assurance tasks. Help manage correspondence with UKSV and applicants, ensuring timely responses and smooth processing. Maintain accurate vetting and personnel security records in line with classification and Data Protection Act requirements. Support insider risk awareness activities, including monitoring changes of circumstance and flagging concerns to the Security Controller. Risk awareness activities, including monitoring changes of circumstance and flagging concerns to the Security Controller. Assist in delivering security briefings and awareness materials to staff and contractors. Provide general administrative support for security audits, investigations, and compliance reviews. Assist in classifying defence related goods, software, technology, and documentation against UK Military Lists and Strategic Export Control Lists. Support the preparation and submission of SIEL, OGEL, and OIEL licence applications. Help monitor licence conditions, maintaining registers and documentation for controlled exports and technology transfers. Support programme teams by reviewing documents for export controlled content and flagging issues for escalation. Assist with internal audits, compliance checks, and preparation for ECJU or MOD inspections. Maintain accurate export compliance records, registers, and secure filing systems. Help deliver awareness briefings to engineers, supply chain, and commercial staff on export control requirements. Support reviews of international collaboration activities, including secure transfer of technical data. Experience working in a defence, government, aerospace, or other security sensitive environment. Strong attention to detail and ability to follow structured processes. Ability to handle sensitive information confidentially and responsibly. Good communication and stakeholder support skills. Strong organisational skills with the ability to manage multiple ongoing tasks. Understanding of personnel vetting processes and classified information handling requirements. Awareness of UK export controls, licensing processes, or defence related compliance frameworks. Knowledge of GOVs007, ITAR/EAR, or ECJU licensing frameworks. Previous experience supporting a Security Controller or export compliance function. Professional development or interest in security, compliance, or export controls. High integrity and commitment to maintaining security standards. Reliable, discreet, and professional when handling sensitive matters. Proactive, organised, and able to work to defined procedures with minimal supervision. Strong team player, supporting both security and trade compliance functions. Calm and structured approach when working under pressure or in time critical situations.This role will require SC Clearance. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. Please visit the UKSV website for further guidance. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the United Kingdom Vetting Service (UKSV)-
Mar 10, 2026
Full time
Assist with the administration and coordination of BPSS, SC, and DV applications in accordance with GOVs007, HMG Personnel Security Controls, and MOD policy. Review BPSS screening checks, identity verification, and pre employment assurance tasks. Help manage correspondence with UKSV and applicants, ensuring timely responses and smooth processing. Maintain accurate vetting and personnel security records in line with classification and Data Protection Act requirements. Support insider risk awareness activities, including monitoring changes of circumstance and flagging concerns to the Security Controller. Risk awareness activities, including monitoring changes of circumstance and flagging concerns to the Security Controller. Assist in delivering security briefings and awareness materials to staff and contractors. Provide general administrative support for security audits, investigations, and compliance reviews. Assist in classifying defence related goods, software, technology, and documentation against UK Military Lists and Strategic Export Control Lists. Support the preparation and submission of SIEL, OGEL, and OIEL licence applications. Help monitor licence conditions, maintaining registers and documentation for controlled exports and technology transfers. Support programme teams by reviewing documents for export controlled content and flagging issues for escalation. Assist with internal audits, compliance checks, and preparation for ECJU or MOD inspections. Maintain accurate export compliance records, registers, and secure filing systems. Help deliver awareness briefings to engineers, supply chain, and commercial staff on export control requirements. Support reviews of international collaboration activities, including secure transfer of technical data. Experience working in a defence, government, aerospace, or other security sensitive environment. Strong attention to detail and ability to follow structured processes. Ability to handle sensitive information confidentially and responsibly. Good communication and stakeholder support skills. Strong organisational skills with the ability to manage multiple ongoing tasks. Understanding of personnel vetting processes and classified information handling requirements. Awareness of UK export controls, licensing processes, or defence related compliance frameworks. Knowledge of GOVs007, ITAR/EAR, or ECJU licensing frameworks. Previous experience supporting a Security Controller or export compliance function. Professional development or interest in security, compliance, or export controls. High integrity and commitment to maintaining security standards. Reliable, discreet, and professional when handling sensitive matters. Proactive, organised, and able to work to defined procedures with minimal supervision. Strong team player, supporting both security and trade compliance functions. Calm and structured approach when working under pressure or in time critical situations.This role will require SC Clearance. It would be advantageous if currently held, however, if not currently held, it is a requirement that the successful applicant will undergo, achieve, and maintain SC Clearance. Please visit the UKSV website for further guidance. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years' residence in the UK over the last 5 years may be accepted, with additional overseas checks. For further details of the evidence required to apply for Baseline and Security Clearance please refer to the United Kingdom Vetting Service (UKSV)-
Colwick Industrial Estate, Nottingham (Site Based) 9 Month Contract 37.5 Hours Monday-Friday Immediate Start Immediate requirement for a Depot Support Administrator to support a busy engineering depot in Nottingham. This is a customer-focused admin role handling service job creation, quotations, order processing and contract administration while liaising with engineers and business customers. The Role: Raise service jobs and work orders using ServiceMax (Training Provided) Prepare customer quotations and process orders Assist with hire / service contract administration Liaise with depot engineers regarding rental and serviced equipment Handle customer enquiries via phone and email Maintain accurate records using Microsoft Office and internal systems The Person: Experience in office / service / depot / Engineering administration Strong Microsoft Office & Excel skills Comfortable dealing with business customers and internal teams Highly organised with strong attention to detail Reference: BBBH(phone number removed) To apply, click Apply Now or contact Ed Douglass at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an Employment Agency for permanent roles and an Employment Business for temporary roles. Key Locations: Nottingham, Colwick, Carlton, Gedling, West Bridgford, Arnold, Beeston, Mapperley, Burton Joyce Rise Technical Recruitment Ltd acts 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 and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Mar 10, 2026
Contractor
Colwick Industrial Estate, Nottingham (Site Based) 9 Month Contract 37.5 Hours Monday-Friday Immediate Start Immediate requirement for a Depot Support Administrator to support a busy engineering depot in Nottingham. This is a customer-focused admin role handling service job creation, quotations, order processing and contract administration while liaising with engineers and business customers. The Role: Raise service jobs and work orders using ServiceMax (Training Provided) Prepare customer quotations and process orders Assist with hire / service contract administration Liaise with depot engineers regarding rental and serviced equipment Handle customer enquiries via phone and email Maintain accurate records using Microsoft Office and internal systems The Person: Experience in office / service / depot / Engineering administration Strong Microsoft Office & Excel skills Comfortable dealing with business customers and internal teams Highly organised with strong attention to detail Reference: BBBH(phone number removed) To apply, click Apply Now or contact Ed Douglass at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts as an Employment Agency for permanent roles and an Employment Business for temporary roles. Key Locations: Nottingham, Colwick, Carlton, Gedling, West Bridgford, Arnold, Beeston, Mapperley, Burton Joyce Rise Technical Recruitment Ltd acts 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 and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
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 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.
Mar 10, 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 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 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.
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 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.
Mar 10, 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 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 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.
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 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.
Mar 10, 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 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 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.
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 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.
Mar 10, 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 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 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.
Buyer (Supply Chain / Procurement) Location: Coventry (Hybrid working 2 days per week) Salary: circa £36,000 Hours: 37.5 per week Contract: Permanent We are recruiting for an experienced Buyer to join a growing manufacturing and engineering business at their new Coventry site. This is a hands-on role combining purchasing, scheduling and supply chain coordination, with real ownership of materials planning and supplier performance. You will be responsible for the procurement of materials, components and equipment, ensuring stock availability aligns with production and customer demand. Working closely with engineering, production, operations and logistics, you will play a key part in keeping the supply chain moving and improving supplier performance. Key responsibilities include: • Planning, scheduling and monitoring goods and services to meet production requirements, using techniques such as JIT, Kanban, blanket POs and rescheduling • Ensuring raw materials, components and production supplies are ordered accurately and delivered on time • Managing inventory and safety stock levels to balance customer service with effective use of capital • Maintaining material, supplier and planning data within the MRP/ERP system • Investigating shortages and carrying out root cause analysis with corrective actions • Supporting installation and inventory plans by providing clear guidance on material availability • Managing supplier performance, delivery metrics and quality issues • Analysing data in Excel (including pivots and lookups) to identify improvement opportunities • Supporting logistics, shipping and import processes • Working with design teams on drawings, product descriptions and codes to ensure accurate procurement • Leading supplier negotiations and driving cost saving and cost avoidance initiatives • Managing commercial risks and maintaining accurate reporting to support decision making • Building strong relationships across engineering, production, sales, operations and external suppliers About you: • Proven experience in buying, supply chain or materials planning • Experience using MRP / ERP systems • Strong Excel skills including pivot tables, vlookups and basic formulas • Confident communicator with a practical, solution-focused mindset • Strong commercial awareness and negotiation ability • Able to manage priorities in a fast-paced environment • Comfortable working cross-functionally and influencing stakeholders Desirable (but not essential): • International purchasing experience, including Far East sourcing • Logistics or import experience (or willingness to learn) This is a site-based role in Coventry, with occasional travel to suppliers and other UK locations as required. If you re a Buyer who enjoys ownership, variety and making a tangible impact on supply chain performance, this is a great opportunity. INDL
Mar 10, 2026
Full time
Buyer (Supply Chain / Procurement) Location: Coventry (Hybrid working 2 days per week) Salary: circa £36,000 Hours: 37.5 per week Contract: Permanent We are recruiting for an experienced Buyer to join a growing manufacturing and engineering business at their new Coventry site. This is a hands-on role combining purchasing, scheduling and supply chain coordination, with real ownership of materials planning and supplier performance. You will be responsible for the procurement of materials, components and equipment, ensuring stock availability aligns with production and customer demand. Working closely with engineering, production, operations and logistics, you will play a key part in keeping the supply chain moving and improving supplier performance. Key responsibilities include: • Planning, scheduling and monitoring goods and services to meet production requirements, using techniques such as JIT, Kanban, blanket POs and rescheduling • Ensuring raw materials, components and production supplies are ordered accurately and delivered on time • Managing inventory and safety stock levels to balance customer service with effective use of capital • Maintaining material, supplier and planning data within the MRP/ERP system • Investigating shortages and carrying out root cause analysis with corrective actions • Supporting installation and inventory plans by providing clear guidance on material availability • Managing supplier performance, delivery metrics and quality issues • Analysing data in Excel (including pivots and lookups) to identify improvement opportunities • Supporting logistics, shipping and import processes • Working with design teams on drawings, product descriptions and codes to ensure accurate procurement • Leading supplier negotiations and driving cost saving and cost avoidance initiatives • Managing commercial risks and maintaining accurate reporting to support decision making • Building strong relationships across engineering, production, sales, operations and external suppliers About you: • Proven experience in buying, supply chain or materials planning • Experience using MRP / ERP systems • Strong Excel skills including pivot tables, vlookups and basic formulas • Confident communicator with a practical, solution-focused mindset • Strong commercial awareness and negotiation ability • Able to manage priorities in a fast-paced environment • Comfortable working cross-functionally and influencing stakeholders Desirable (but not essential): • International purchasing experience, including Far East sourcing • Logistics or import experience (or willingness to learn) This is a site-based role in Coventry, with occasional travel to suppliers and other UK locations as required. If you re a Buyer who enjoys ownership, variety and making a tangible impact on supply chain performance, this is a great opportunity. INDL
Location: Levenshulme Pay: £14.91 per hour Shifts: Monday Thursday: 06 00 / 14 00 (rotating) Friday: 06 00 / 12 00 We re recruiting an experienced Production Operative with real machine background to join a high-performance industrial manufacturing site within the window blinds sector. This is not food production or light assembly - this role suits operators who are confident working with large-scale coating, printing, and continuous production machinery in a fast-paced manufacturing environment. If you ve worked with textiles, coating lines, printing machines, stenters, laminators, or similar industrial equipment , this is the kind of place you ll thrive. What You ll Be Doing: Running and setting coating and printing machinery Monitoring production quality and machine performance Making adjustments to maintain speed, consistency and finish Completing basic production records and checks Working closely with engineers and supervisors to keep lines running efficiently (Experience on Stenter Machines is a big advantage.) What We re Looking For: Minimum 1 year in manufacturing machine operation (industrial) Confidence working with continuous production machinery Strong attention to detail and quality control Basic computer skills for logging production data Reliable work history with good attendance Able to work independently and as part of a skilled team What You Get: £14.91 per hour Weekly pay Free on-site parking Pension scheme Ongoing training and development Temp-to-perm opportunity for the right operator The Opportunity: This starts on a temporary basis but offers long-term, permanent opportunities for operators who show strong performance, reliability and commitment. Job Ref: B1/MACHOP/LEV/feb Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you! The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see (url removed)> Many Thanks
Mar 10, 2026
Seasonal
Location: Levenshulme Pay: £14.91 per hour Shifts: Monday Thursday: 06 00 / 14 00 (rotating) Friday: 06 00 / 12 00 We re recruiting an experienced Production Operative with real machine background to join a high-performance industrial manufacturing site within the window blinds sector. This is not food production or light assembly - this role suits operators who are confident working with large-scale coating, printing, and continuous production machinery in a fast-paced manufacturing environment. If you ve worked with textiles, coating lines, printing machines, stenters, laminators, or similar industrial equipment , this is the kind of place you ll thrive. What You ll Be Doing: Running and setting coating and printing machinery Monitoring production quality and machine performance Making adjustments to maintain speed, consistency and finish Completing basic production records and checks Working closely with engineers and supervisors to keep lines running efficiently (Experience on Stenter Machines is a big advantage.) What We re Looking For: Minimum 1 year in manufacturing machine operation (industrial) Confidence working with continuous production machinery Strong attention to detail and quality control Basic computer skills for logging production data Reliable work history with good attendance Able to work independently and as part of a skilled team What You Get: £14.91 per hour Weekly pay Free on-site parking Pension scheme Ongoing training and development Temp-to-perm opportunity for the right operator The Opportunity: This starts on a temporary basis but offers long-term, permanent opportunities for operators who show strong performance, reliability and commitment. Job Ref: B1/MACHOP/LEV/feb Our clients and their customers come from diverse backgrounds and so do we. We hire our people from various walks of life, each of whom make our company stronger with their talent, uniqueness, and expertise. This is what makes our company special; if you want to help us grow and take this ethos to our clients, then we cannot wait to collaborate with you! The UK has now left the European Union. Any EU, EEA or Swiss citizens living in the UK that wish to remain in the UK post Brexit need to apply to the EU Settlement Scheme. Although the closing date for applications was 30th Jun 2021, if you have not yet applied but believe that you would qualify under the EU Settlement Scheme, the Home Office have confirmed that they will consider late applications. For further information please see (url removed)> Many Thanks
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 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.
Mar 10, 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 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 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.
