1650 jobs found

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.

Job Title: Test Equipment Engineer - Hardware (Electrical & Electronic) Location: Portsmouth Broad Oak. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Up to £52,600 depending on skills and experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: As a Test Equipment Engineer - Hardware, you will provide critical engineering support to the underwater system test equipment used across the UK. You will play a key role in ensuring high levels of equipment availability while also improving, upgrading, and designing new test equipment. This role combines hands on fault diagnosis, hardware design, and in service support, working closely with a highly experienced team of engineers. You will work on unique defence systems that you won't find elsewhere, with real hands on responsibility for test equipment design, fault finding, and in service support. You will be a trusted technical contributor to the wider In Service Support Group, supporting both current operations and future capability. Core Duties: Design, improve, and introduce electrical and electronic test equipment, including upgrades driven by obsolescence and capability improvement Lead and carry out hardware development activities, producing circuit diagrams, wiring schedules, specifications, and supporting design documentation Take technical ownership of selected in service test equipment, ensuring availability, reliability, and safe operation Diagnose and fault find complex , specialist test equipment to component level, often working independently on challenging technical issues Contribute to the design assurance and safety of underwater system test equipment, ensuring compliance with company, national, and international standards Compile, review, and approve engineering designs, changes, tasks, and concessions, and act as a technical representative during off site investigations or trials when required Essential Skills: You will have a qualification in Electrical / Electronic Engineering or a closely related discipline (HNC, HND, or Degree level) You will have proven experience in test equipment or hardware design You will have a strong background in fault finding, repair, and investigation of electronic test equipment You will have the ability to create and interpret circuit diagrams, electrical drawings, and technical documentation The Test Equipment Team: You'll be part of an experienced engineering team of around 10 hardware and software engineers, working on long term programmes, offering stability, technical depth, and clear opportunities to develop your career. You'll be working alongside engineers with deep domain expertise , offering strong opportunities for learning, development, and progression. The team reports the Test Equipment Team Leader who reports into the Engineering Manager. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 1st May 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

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.

Royston Salary - Negotiable DOE Monday-Friday days. Your new role: Based near you will be joining a well-known construction manufacturing company specialising in a wide range of equipment and materials used in several industries across industrial, commercial and residential industries. Due to a gap in their team, they are now seeking an experienced Production/assembly leader to oversee a small team assembly and building equipment and parts. Offering a range of benefits including private healthcare, generous holiday allowance and more, this is an excellent time to join this fast-expanding company in a fast-paced Production Manager role! Key Responsibilities & Duties: Oversee assembly production activities and ensure work is completed safely, accurately, and on time. Allocate workloads to assemblers Work to daily, weekly & monthly targets Oversee and work to quality standards. Promote and work to a continuous improvement environment This is just a summed-up list, and other duties will be required. Skills & Experience required: Previous experience in a similar Production leader/supervisor/lead role Hands on assembly experience Able to work to engineering drawings and specifications Helping to manage new staff and contract staff with training and development Experience working with accurate quality standards What you need to do now if you're interested in this role: Click 'apply now' to forward an up-to-date copy of your CV or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us now on for a confidential discussion about your career. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Linesman North Scotland Permanent Competitive + Company commercial vehicle + Flexible Benefits £2,500 Sign-On Bonus (£1,250 payable in the first month and £1,250 after successful completion of probation)Direct applicants only - agency applications not eligible. Summary Freedom Networks are currently recruiting for an Overhead Linesman, which will be field based. The main purpose of this role is to work in a team to achieve delivery to time, safety regulations, quality standards and project specification. The role reports directly to the Chargehand Linesman. Some of the key deliverables in this role will include: Install, commission LV OHL monitors across SSE patch Install, build and refurbish overhead lines up to 33kV. Carry out all work in accordance with the standards, policies and procedures of Freedom and its customers. Maintain and develop own competence in accordance with legislative changes and customer requirements. Work as part of a team to ensure the safe, effective and efficient implementation of Freedom's operations. Liaise with third parties to ensure the smooth implementation of work. Maintain awareness of and conform to Freedom's SHE policy and issued safety instructions. Maintain site safety at all times and complete daily risk assessments where required. Conform to all instructions stated in method statements and risk assessments. Ensure that accidents and near misses are suitably reported. Report any concerns regarding SHE to the SHE team and your Manager. Adhere to Freedom's values Complete all work to high standards. What we're looking for: Driving Licence & able to Tow (Training can be given) First Aid Manual Handling Working at Height Winch Operation (Training can be given) IPAF MEWP Operation NRSWA Operative DNO Authorisation (up to 33kV, Receive PTW, LV switching, Polarity Training, Sub-Station Entry) SSE authorisation can be applied for off your DNO authorisations City & Guilds 2322 Environmental Awareness Safe Digging Techniques Required Skills: Minimum level of training and experience in the electricity industry Practical experience of Overhead Lines works up to 33kV Sound knowledge of Health & Safety and its practical implications Strong Communication skills Benefits: We're always evolving our benefits to ensure we're attracting and retaining great people. Some of what you can expect includes: Company commercial vehicle Salary sacrifice car scheme (Hybrid/Electric Vehicle) Pension with a leading provider and up to 8% employer contribution 25 days holiday Personal Wellbeing and Volunteer Days Private Medical Insurance Free 24/7 365 Employee Assistance Program to support mental health and well-being (including counselling sessions and legal advice) Flexible benefits to suit from Dental Insurance, Gym Memberships, Give As You Earn, Travel Insurance, Tax Free Bikes. Personal development programme Next Steps As a business, we're on a journey to build on our culture where everyone is included, treated fairly and with respect. This starts with recruitment and how we bring people into the organisation. We'll do our best to outline the recruitment process to you ahead of time with plenty of notice. If you require any accommodations to participate in the application or interview process, please let us know and we will work with you to ensure your needs are met. About Us Freedom are part of the NG Bailey Group, one of the leading independent engineering and services businesses in the UK. Founded in 1921, with a turnover of £500m and 3000 employees, we are proud of our history of developing great people through our investment in training. You will be working as part of a team where we are committed to creating a culture where we treat each other fairly and with respect, recognising everyone as an individual. Progression is something we value and we will make sure that when you join us you have a clearly defined development path, supported by regular reviews, training and ongoing support to enable you to be the best you can be.

Multiskilled Maintenance Engineer 12 hour days / nights 4 on 4 off Wolverhampton £56,000 We are looking for multiskilled maintenance engineer for our high performing Engineering Department at our UK HQ! Are you currently a Multiskilled Engineer looking to work in a fast paced and proactive environment? The Company Covering our FMCG manufactrung unit, you will support the engineering manager in Maintaining, repairing and improvement the on-site bespoke machinery The Role Electrical & Mechanical planned and preventative maintenance, Repairs, Projects and Continuous improvements. Working as part of a team and adhering to health and safety regulations at all times. What we are looking for NVQ Level 3 / City & Guilds 17th/18th Edition. Ideally from a FMCG engineering background. Fault finding skills, hydraulics, pneumatics. Installation capabilities. Experience of maintenance of a toolroom would be beneficial If this really sounds like you and you want to be considered for the Maintenance Engineer role, please click the Apply button. What happens next? On applying for this job, you consent to SJR Partners holding your details on file to be able to contact you about your job search, for full details of our GDPR policy, please refer to our website. Our ongoing aim is to contact everyone either way within 24 hours on the assumption that your credentials fit the requirements for the role.

Job Title: Test Equipment Engineer - Hardware (Electrical & Electronic) Location: Portsmouth Broad Oak. We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: Up to £52,600 depending on skills and experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there's no limit to where a career at BAE Systems could take you. Job Description: As a Test Equipment Engineer - Hardware, you will provide critical engineering support to the underwater system test equipment used across the UK. You will play a key role in ensuring high levels of equipment availability while also improving, upgrading, and designing new test equipment. This role combines hands on fault diagnosis, hardware design, and in service support, working closely with a highly experienced team of engineers. You will work on unique defence systems that you won't find elsewhere, with real hands on responsibility for test equipment design, fault finding, and in service support. You will be a trusted technical contributor to the wider In Service Support Group, supporting both current operations and future capability. Core Duties: Design, improve, and introduce electrical and electronic test equipment, including upgrades driven by obsolescence and capability improvement Lead and carry out hardware development activities, producing circuit diagrams, wiring schedules, specifications, and supporting design documentation Take technical ownership of selected in service test equipment, ensuring availability, reliability, and safe operation Diagnose and fault find complex , specialist test equipment to component level, often working independently on challenging technical issues Contribute to the design assurance and safety of underwater system test equipment, ensuring compliance with company, national, and international standards Compile, review, and approve engineering designs, changes, tasks, and concessions, and act as a technical representative during off site investigations or trials when required Essential Skills: You will have a qualification in Electrical / Electronic Engineering or a closely related discipline (HNC, HND, or Degree level) You will have proven experience in test equipment or hardware design You will have a strong background in fault finding, repair, and investigation of electronic test equipment You will have the ability to create and interpret circuit diagrams, electrical drawings, and technical documentation The Test Equipment Team: You'll be part of an experienced engineering team of around 10 hardware and software engineers, working on long term programmes, offering stability, technical depth, and clear opportunities to develop your career. You'll be working alongside engineers with deep domain expertise , offering strong opportunities for learning, development, and progression. The team reports the Test Equipment Team Leader who reports into the Engineering Manager. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 1st May 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.

Project Quantity Surveyor Job in Central London Project Quantity Surveyor Job now available. Join a forward-thinking construction consultancy working across high-profile residential and mixed-use developments in London. This is a great opportunity for a driven Quantity Surveyor to take ownership of exciting projects while enjoying hybrid flexibility and a supportive professional environment. They're a progressive cost and project management practice recognised for its collaborative approach, technical expertise, and commitment to modern methods of construction. The team partners with leading developers, investors, and contractors to deliver outstanding results across the built environment. With a reputation for innovation and quality, the firm offers an excellent platform for career progression and continuous learning. Role & Responsibilities Reporting to the Associate Director Liaising with clients and internal cost consultants and project managers delivering cost consultancy services from acquisition to final accounts Providing Cost Control, Cost Planning, Cost Estimates and Procurement advice Leading negotiation and contract preparation Engaging with the supply chain to support procurement strategies Carrying out budget reconciliations and cost reporting throughout project lifecycles Administering contractor payments and ensuring commercial compliance Conducting value engineering and supporting risk assessments. Required Skills & Experience Ideally 3+ years' experience in the UK construction industry as a Quantity Surveyor / Cost Consultant Experience across all stages from cost planning to final accounts Main Contractor or Consultancy background MRICS/MCIOB or working towards preferred but not essential Experienced in serving private sector clients Degree in Quantity Surveying or similar Passion for the construction industry and a collaborative mindset. What you get back Salary 50,000 - 65,000 DOE Discretionary Bonus 27 days holiday + Bank Holidays Hybrid Working (typically 3 days in the office or on sites, 2 days remote) Pension matched up to 5% Healthcare Life Assurance Mileage/Public Transport paid to sites Regular social events Support with professional industry subscriptions. Apply If you meet the criteria above, send us your CV and portfolio. We receive a large number of applications so if you do not hear back within 7 days consider your application unsuccessful this time. We will keep a copy of your details on file for future vacancies. In accordance with GDPR, by applying for this position you give us your consent to process your data in-line with our Privacy and Data Protection Policies which can be read on the privacy policy page on our website. Referral Did you know we run a referral scheme? We pay a 1000 referral bonus if you introduce us to anyone who we then successfully place in a new job role. Just send us their information and we'll do the rest. Terms: A candidate is deemed to have been successfully placed once they have started a new job as a result of an introduction made by Hunter Dunning and when they've successfully completed the probation period. See website for full terms & conditions.

The Role This Research Engineer role sits within The Alan Turing Institute s Defence and National Security programme and focuses on designing, building and evaluating LLM-driven agentic systems to strengthen the cyber resilience of critical national infrastructure, particularly legacy operational technology and industrial control systems that cannot easily be patched or upgraded. The postholder will develop autonomous hardening and monitoring capabilities, create realistic digital twin and simulation environments, run robust large-scale evaluations, and produce high-quality research software, technical outputs, and publications, while working closely with multidisciplinary experts across AI, cyber security and critical systems. It s a highly applied research role suited to someone excited by combining machine learning, software engineering and cyber security to solve complex real-world resilience challenges with national importance. Your Profile We re looking for a technically strong and collaborative research engineer with a solid grounding in AI, machine learning, cyber or information security, computer science, engineering, or a related field, ideally educated to Master s level or with equivalent experience. The ideal candidate will bring hands-on experience building LLM-powered agentic or tool-calling systems, strong scientific software development skills in Python and related frameworks and a track record of delivering practical research or engineering outputs with measurable impact. They ll be comfortable working across disciplines, communicating complex ideas clearly to both technical and non-technical audiences and operating with a high degree of autonomy while contributing positively to a team environment. Experience with network security, cyber-physical systems, virtualisation, OT/ICS environments and research publications would be especially valuable, as would a thoughtful, evidence-led approach and eligibility for Security Check clearance. How You Will Make an Impact Collaboratively design, build and maintain agentic, AI systems and evaluation suites that support CNI cyber resilience and legacy software hardening against known vulnerabilities. Develop virtualisation based digital twin environments and implement techniques for assuring operational continuity in the context of CNI. Develop realistic virtualised environments with legacy OT/ICS hosts, including legacy operating system instances running OT/ICS control software and with representative OT protocol traffic. Contribute to high-quality collaborative research as part of the Turing s CNI resilience mission. Develop CNI-relevant scenarios with clear threat models, operational continuity criteria, and defensible assumptions; document limitations and known failure modes explicitly. Implement reproducible evaluation pipelines: configuration-driven runs, dataset/version management, baseline implementations and auditable reporting outputs. Develop and validate metrics and scoring methods. Carry out analysis that supports credible interpretation of results (failure case analysis, ablations and sensitivity checks). Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. Your covering letter should focus on the following: Your motivation for applying for this role An overview of your experience developing software in a scientific computing context Publication list (if not covered in CV) If you have questions about the role or would like to apply using a different format, please contact us at . CLOSING DATE FOR APPLICATIONS: SUNDAY 12 APRIL :59 (LONDON, UK BST) Terms and Conditions This post is offered on a full time, fixed-term basis until 31 March 2027. The annual salary is £45,505 - £51,241 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute Eligibility for Security Check (SC) clearance is a requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance The successful candidate may be required to undergo a pre-screening check prior to an offer being made. This check will be carried out by HMG Defence and Security Partners. Please be advised, by submitting your application you are consenting to this check, and your personal details (full name, date of birth and home address) to be passed onto our HMG Defence and Security Partners to carry out this check. Many roles in the Defence and National Security Programme require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK or a NATO country depending on the vetting level required for the role, to allow for meaningful security vetting checks, amongst other factors. These roles are subject to security restrictions by Turing s partners. The restrictions mean that factors such as your nationality, any nationalities you may have previously held, your foreign connections, and your place of birth can restrict your eligibility to perform the role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . Applicants should check whether they are eligible to apply for SC clearance before applying to this role. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to advise us how we can assist you. Please note all offers of employment are subject to obtaining and retaining the right to work in the UK and satisfactory pre-employment security screening which includes a DBS Check. Full details on the pre-employment screening process can be requested from .

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.

McLaughlin & Harvey are one of the leading Building and Civil Engineering Contractors operating throughout the UK and Ireland. The WorkSpace team a specialist division of McLaughlin & Harvey has the capability to design, build, fit-out and manage truly innovative and purposeful spaces. We combine all the benefits of an agile, specialist team with the rigor of one of the UK's most enduring firms wit click apply for full job details

McLaughlin & Harvey are one of the leading Building and Civil Engineering Contractors operating throughout the UK and Ireland. The WorkSpace team a specialist division of McLaughlin & Harvey has the capability to design, build, fit-out and manage truly innovative and purposeful spaces. We combine all the benefits of an agile, specialist team with the rigor of one of the UK's most enduring firms wit click apply for full job details

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.