1907 jobs found

Job Title: Commercial Gas Catering Engineer Salary: £42,000 per annum Hours: 42.5 hours Monday - Friday plus additional weekend working 1 in 4 working weekend rota. Company Information Miller's Vanguard are the UK's premier service maintenance and equipment supply company within the foodservice industry. We are a 'Family style' run business, maintaining and repairing foodservice equipment for many of the UK's leading retail chains, giving us unrivalled industry expertise earned over 40 years of experience. Job Description We're looking for a Commercial Gas Catering Engineer responsible for installing, servicing, and maintaining commercial gas fired catering equipment across restaurants, hotels, schools, hospitals, and other commercial kitchens. Ensuring all appliances for our customers operate safely, efficiently, and in compliance with current gas regulations. Key Responsibilities Install, commission, and test commercial gas catering appliances such as ovens, grills, fryers, combi ovens, and water boilers. Diagnose faults and carry out repairs on a wide range of gas and electrical catering equipment. Perform routine preventative maintenance and safety inspections in line with manufacturer guidelines and industry standards. Ensure all work complies with Gas Safe regulations and relevant health and safety legislation. Provide clear service reports, documentation, and recommendations for further work. Communicate effectively with customers, site managers, and internal teams to ensure smooth service delivery. Maintain company tools, equipment, and vehicle to a high standard. Participate in an on call rota for emergency breakdowns where required. Ideal Candidate and Qualifications Valid Gas Safe registration with relevant commercial catering qualifications (e.g., CCCN1, COMCAT 1-5). Proven experience working with commercial catering equipment in a service or installation role. Strong understanding of gas safety, ventilation requirements, and combustion analysis. Electrical competency (e.g., 17th/18th Edition or equivalent) is desirable. Full UK driving licence. Why Join Us We value or employees here at Miler's Vanguard, so in return for your hard work we offer a number of benefits Joining an established well-known company Your 42.5 hours working week includes travel to and from work (you are paid to commute) in your company van from home and back, fuel provided. 24 Holidays per year + Bank holidays. Supplied with a full smart uniform complete with a tablet and phone Full support from your Local Field Operations Manager and our Technical Support Desk A fully stocked stylish Mercedes Vito van Opportunity to participate in charity events Long service awards Company Pension Career Development Your induction will take place at Miller's Vanguards bespoke City & Guilds accredited Training Academy in Bury, Lancashire (accommodation etc. fully provided) As you develop in the role and supported by our training programmes you will then have the opportunity to progress your way through our pay grading structure Job Types: Full-time, Permanent Pay: £42,000.00 per year Benefits: Company events Company pension Discounted or free food On-site parking Experience: Gas Catering Engineer: 3 years (preferred) Licence/Certification: COMCAT 1, 3 and 5 (required) CONGLP1PD (preferred) Driving Licence (required) CCN1 Domestic Gas Safety (required) Work Location: In person

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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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.

Company pension contributions of up to 8% combined and an annual leave entitlement of 25 days plus Bank Holidays are just a few of the perks that the Quality Inspector will enjoy whilst working for a Global Engineering and Manufacturing leader, with over 20 worldwide locations employing 1000 + staff. This employer is recognised globally for quality and innovative deliverables. The successful Quality Inspector will be easily able to commute to HUDDERSFIELD from surrounding towns & cities, including Leeds, Dewsbury, Halifax, Wakefield and Brighouse. Key Responsibilities of the Quality Inspector. Support and maintain the ISO 9001:2015 Quality Management System, including internal auditing and compliance activities. Perform inspection of purchased and manufactured components against engineering drawings, specifications, and standards. Use CMM and conventional metrology equipment to verify dimensional accuracy and product conformity. Investigate and manage non-conformances, raising NCRs and Supplier Defect Reports through SAP. Work closely with Engineering, Operations, Supply Chain, and Quality teams to ensure product quality and drive continuous improvement. Requirements of the Quality Inspector. Formal qualifications in Mechanical Engineering (Apprenticeship, HNC, HND or similar). Experience in ISO9001:2015 or equivalent management systems. Previous experience working within a heavy engineering environment. Working Hours of the Quality Inspector The position involves a rotating AM and PM Shift. AM Shift: Monday to Friday: 06:00-14:00 PM Shift: Monday to Thursday: 14:30-22:00, Friday: 14:30-18:30 In Return, the Quality Inspector will receive: Basic Salary: 44,720 Per Annum (Including Shift Allowance) Holiday Entitlement: 33 days including public holidays. Company life insurance. Immediate enrolment to the company pension scheme. Access to onsite gym and canteen. If you are interested in the Quality Inspector position, please click "APPLY NOW" and attach a copy of your most up-to-date CV. Alternatively, please contact Ismail from E3 Recruitment.

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. 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. 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.

Service Coordinator Location: Stevenage Salary: £25,000 Permanent Join a growing, friendly operations team where no two days are the same! Our client is looking for a proactive Service Coordinator to be the first point of contact for clients and colleagues, managing calls, emails, and engineer schedules in a busy, supportive environment. Service Coordinator - About this role: Monday to Friday, 9am - 5pm, office-based Full training and career development opportunities Friendly, collaborative team culture 23 days annual leave + bank holidays Pension, Christmas bonus, company events, and free parking Service Coordinator - What you ll do: Handle client calls and emails as first-response Log and track requests on internal and external systems Schedule engineers and close jobs once completed Book couriers and manage equipment returns Issue welcome packs to new clients Liaise with engineers to ensure smooth resolutions Support the team with general admin tasks Service Coordinator - About you: Organised, attentive to detail, and able to prioritise workload Clear and confident communicator Approachable, professional, and a team player Previous admin experience is a plus Keen to learn and progress into more complex responsibilities This is a brilliant role for someone looking to gain exposure to operations, client management, and first-response coordination in a fast-paced but supportive environment. If you are interested in this role, please apply today with your latest CV. WGCCOMMPERM By applying to this job advertisement, you confirm you have read and understood our Data Protection and Privacy statement and give OA Group authorisation to hold you provided data. Thank you for your interest in this vacancy, which is being advertised by OA Group, who are acting as an employment agency / business. Your application will be considered in competition with others and we will contact you within 3 working days.

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.

Job Title: Mechanical Service Sales (Oil & Gas). Location: Aberdeen The role of Mechanical Service Sales (Oil & Gas). is an exciting opportunity within Johnson Controls to develop our focus on service growth within wellhead systems and hydraulic process control equipment. Reporting to the Head of Sales for Offshore & New Energy, sitting within the Global Marine & Offshore Service business, you will seek to grow our equipment servicing and product supply base in the UK. Working closely with and supported by our operations team in the UK, you will be instrumental in performing the sales growth initiative. Responsibilities: Build strong relationship with existing customers and act as trusted partner Build business development strategies to improve sales opportunities in our target markets. Identify the best existing accounts to target for growth as well as identifying and converting new account opportunities. Monitor competitor activities & new developments. Lead the complete sales process from opportunity identification to sales closure, coordinating inputs from other business stakeholders. Develop a sales pipeline to ensure installation order booking requirements are met. Handle leads and drive sales performance using Salesforce. Contribute to our Oil & Gas growth rooms to improve opportunity creation and cross sell opportunities. Continuously strive and find opportunities for continuous improvement. Ensure that there is effective and efficient bid management. What We Look For: Required Knowledge and understanding of the UK Oil/Gas/Renewables market. Worked with major Oil & Gas customers Operators and EPCs Consistent track record of developing new business in a sales representative, business development, territory manager or field sales role. Experience in a service or contract-based sales function Experience in developing new business through excellent client relationships and forecasting. Experience in field sales and in-depth knowledge of the complexities of relationship selling as well as planning, business development, opportunity, and pipeline management. IT literacy and experience using Microsoft Office Suite Excellent communication skills and ability to handle the full sales lifecycle. Full UK Driving Licence Preferred Proven track record of selling technical solutions within the Oil, Gas & Marine Market. Technical understanding of Production Systems and Hydraulic Equipment is preferred however we have the technical knowledge to support training on this. Wed ideally love you to have experience using CRM application along with experience of working within a large organisation where matrix structures are common. Be comfortable presenting technical and commercial information to board level. Ability to function autonomously, whilst also being a proactive teammate Resourceful and engaging with operational departments to ensure high levels of customer service. Ability to build plans and bring teams together for mutual success. Outstanding customer engagement Proven track record of achieving results. What we can offer: Competitive salary Company car or car allowance Bonus incentive Paid holidays and sick pay. Comprehensive benefits package including 7% match pension, free life assurance, employee assistance program, employee referral scheme, employee discounts including high street brands, cycle 2 work scheme and discount on Johnson Controls security products. Extensive product and on the job/cross training opportunities with outstanding resources available Encouraging and collaborative ethos & career development through various career ladders Dedication to safety through our Zero Harm policy Access to business resource groups and training on things we value. JBRP1_UKTJ

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. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices. Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes. Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed. Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring. Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms. Stay up to date with industry trends, tools, and best practices in AI engineering What you'll bring Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards There's a reason people can't stop talking about . Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of exclusive 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.

Turning Setter / Operator - Permanent Role (Relocation Support up to 3,000) Location: Aldershot, Hampshire, GU12 Salary: 15.00 - 19.00 per hour (DOE) Hours: Monday - Thursday, 06:30 - 15:15; Friday, 06:00 - 13:00 Relocation Support: Up to 3,000 We are seeking a skilled Turning Setter / Operator to join a leading precision engineering team, working on high-quality components for aerospace and automotive clients. This is a permanent, full-time role offering excellent pay, day shifts, and relocation support. Key Responsibilities: Set and operate CNC turn/mill machines (including Mazak). Prepare materials, tooling, and set machines for new jobs. Read and interpret engineering drawings and programs. Carry out precision checks using micrometers, verniers, and other inspection equipment. Ensure all components meet quality and specification standards. Support colleagues, resolve technical queries, and maintain smooth workflow. Follow quality systems, health & safety protocols, and company processes. Skills & Experience Required: Engineering qualification or equivalent experience. 3-5 years' experience in a similar setting/role. Strong knowledge of CNC operations and inspection tools. Ability to problem-solve systematically. Proactive, adaptable, and detail-oriented team player. Excellent technical and mathematical skills. What's on Offer: Permanent, stable employment. Competitive hourly rate ( 15 - 19 DOE). 4.5-day working week with early Friday finish. Relocation package up to 3,000. To apply, send your CV to (url removed) For more details, call (phone number removed) Proactive Global is committed to equality in the workplace and is an equal opportunity employer. Proactive Global is acting as an Employment Business in relation to this vacancy.

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. 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.

Location: Derby and surrounding areas Shifts: Primarily nights and weekends with some weekday shifts depending on project requirements Pay: Competitive rates details available on request RSS Infrastructure is recruiting an experienced Rail Civils Gang in the Derby area consisting of 1 x Controller of Site Safety (COSS) and 4 x Trackworkers. The team will support rail infrastructure projects, including level crossing upgrades, rail fencing installation and safe site access works such as steps and walkways. What you ll do Carry out rail civils and trackside works safely and efficiently in line with Network Rail standards Support construction and upgrade works on level crossings Install and maintain rail boundary fencing and safety barriers Construct safe site access including steps, walkways and access points Work within planned possessions and line blockages following safe systems of work Assist with site preparation, materials handling and general trackside duties Work collaboratively as part of a rail gang under direction of the COSS or site supervisor What you need Essential Valid Personal Track Safety (PTS) certification COSS competency (for the COSS role) Previous rail civils or trackside infrastructure experience Full UK driving licence Ability to work night shifts, weekends and possession work Strong commitment to safety and compliance on rail sites About us RSS Infrastructure (RSSI) is a leading service provider to the rail and construction industries. With over 200 full-time employees and a strong contingent workforce, we deliver high-quality services nationwide across Civils, Rail Operations, Signalling & Telecoms, Track Warning Systems, Arboriculture, Welding and more. We are proud to be an equal opportunities employer. We welcome applications from all backgrounds and are committed to creating an inclusive workplace. As a signatory of the Armed Forces Covenant, we actively encourage applications from reservists and veterans. Find out more about working with us: (url removed)>

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. 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. 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.