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.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Senior Systems Integration Engineer Location: Portsmouth. Onsite. Salary: Circa £ 52,000 (DOE) 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: The role undertakes technical reviews of Original Equipment Manufacturer (OEM) Equipment Guidance Packs (EGPs) to develop tailored detailed design requirements for new equipment installations, giving full consideration to safety, Space, Weight and Power-Cooling (SWAP C), security implications, existing infrastructure, and environmental impact. It also produces detailed technical design artefacts to support the installation of Combat System equipment, including the modification and alteration of existing equipment and systems across a wide range of system types. Core duties: Production of physical integration outputs such as High-Level Technical Designs & Installation Guidance Packs and present at Installation Design Reviews Creation and maintenance of design artefacts such as System Architectures, Schematics, Cable Schedules & Test Schedules. Support the Combat System Technical Authority for the physical integration of Combat Systems equipment, ensuring coherency across the systems, in accordance with the local design, installation and acceptance criteria Production of contractable specifications and Scope of Works (SoW) pertaining to equipment installation and MISC developments. Provide specialist physical integration support to the multidisciplinary project team by developing bid packages and delivering technical inputs, solutions, advice, and presentations to contractors and senior RN/MOD customer representatives Essential Skills: Working experience and an understanding of a broad range of Engineering sub-disciplines including Electrical, Data Networking and HVAC Services in commercial facilities Experience producing detailed technical design artefacts to enable the installation of complex data system equipment along with the modification & alteration to existing equipment and systems across a plethora of system types Ability to converse and communicate technical knowledge to both internal and external stakeholders MISC FM (Facilities Management) Team : The MISC located on Portsdown Hill, is a specialist facility providing vital support for Royal Navy warships whilst researching future Combat Systems and Technologies. Shaped like a Type 45 destroyer, the MISC is a unique building that now benefits from new facilities including a state of the art visualisation suite. The site offers a range of staff amenities, including a gym and a modern canteen with outdoor seating that offers spectacular views across Hampshire's rolling countryside. Join a unique and dynamic FM team at BAE Systems, where no two days are the same. This is not your typical FM role. You'll be working in an environment unlike any other, with cutting-edge technologies and infrastructure rarely seen in standard buildings. Our facilities support critical operations and technological innovations, giving you the opportunity to play an essential role in supporting world-class projects. 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: 27th April 2026. Interviews for this position will take place W/C 4th May. 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.
Apr 21, 2026
Full time
Job Title: Senior Systems Integration Engineer Location: Portsmouth. Onsite. Salary: Circa £ 52,000 (DOE) 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: The role undertakes technical reviews of Original Equipment Manufacturer (OEM) Equipment Guidance Packs (EGPs) to develop tailored detailed design requirements for new equipment installations, giving full consideration to safety, Space, Weight and Power-Cooling (SWAP C), security implications, existing infrastructure, and environmental impact. It also produces detailed technical design artefacts to support the installation of Combat System equipment, including the modification and alteration of existing equipment and systems across a wide range of system types. Core duties: Production of physical integration outputs such as High-Level Technical Designs & Installation Guidance Packs and present at Installation Design Reviews Creation and maintenance of design artefacts such as System Architectures, Schematics, Cable Schedules & Test Schedules. Support the Combat System Technical Authority for the physical integration of Combat Systems equipment, ensuring coherency across the systems, in accordance with the local design, installation and acceptance criteria Production of contractable specifications and Scope of Works (SoW) pertaining to equipment installation and MISC developments. Provide specialist physical integration support to the multidisciplinary project team by developing bid packages and delivering technical inputs, solutions, advice, and presentations to contractors and senior RN/MOD customer representatives Essential Skills: Working experience and an understanding of a broad range of Engineering sub-disciplines including Electrical, Data Networking and HVAC Services in commercial facilities Experience producing detailed technical design artefacts to enable the installation of complex data system equipment along with the modification & alteration to existing equipment and systems across a plethora of system types Ability to converse and communicate technical knowledge to both internal and external stakeholders MISC FM (Facilities Management) Team : The MISC located on Portsdown Hill, is a specialist facility providing vital support for Royal Navy warships whilst researching future Combat Systems and Technologies. Shaped like a Type 45 destroyer, the MISC is a unique building that now benefits from new facilities including a state of the art visualisation suite. The site offers a range of staff amenities, including a gym and a modern canteen with outdoor seating that offers spectacular views across Hampshire's rolling countryside. Join a unique and dynamic FM team at BAE Systems, where no two days are the same. This is not your typical FM role. You'll be working in an environment unlike any other, with cutting-edge technologies and infrastructure rarely seen in standard buildings. Our facilities support critical operations and technological innovations, giving you the opportunity to play an essential role in supporting world-class projects. 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: 27th April 2026. Interviews for this position will take place W/C 4th May. 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.
Electrical Calibration Operator 12-Month Contract Based in Bolton Offering 28.35ph Inside IR35 Apprenticeship required - Electrical/Electronic Do you hold an Electrical/Electronic Apprenticeship? Do you have experience conducting calibrations on instruments? Do you want to work with an industry-leading company? If the answer is yes to these, then this role could be for you. You will be working as the Electrical Calibration Operator with a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. You will be a key member of the Manufacturing function within the business where you will be tasked to carry out routine calibration of Special To Type Test Equipment (STTE) and Commercial Off The Shelf (COTS) equipment. This role will not be working with products so it is not essential you have experience with products, rather Test and process equipment experience is ideal. For this role, you will be required to hold an approved apprenticeship relating to Electrical/Electronic Engineering to NVQ Level 3/TR23/TR21. Your responsibilities will involve: Working in a multi-disciplined team to support the Operations team. Initial calibration, routine calibration, and maintenance of test and measurement equipment. Ensure that both factory and proprietary test and measuring equipment are maintained in line with current procedures. Carry out calibration and repair tasks in accordance with departmental processes and procedures. Generating clear and comprehensive calibration/maintenance records for traceability purposes. The skillset/experience you may have includes: Generate clear and comprehensive calibration & maintenance records. Experience in calibrating COTS/Special to Type Test Equipment Experience in calibrating electrical equipment such as Power Supplies, Multimeters, Oscilloscopes, Function Generators, etc. Experience in In-service Inspection and Testing of Electrical Equipment Be competent in following the manufacturer's instructions. A good understanding of SAP would be desirable. Time served apprenticeship/modern apprenticeship or NVQ Level 3 City & Guilds part 2 & 3/ONC/HNC in Electronics Experience working on Environmental Stress Screening Facilities (ESS) If this sounds like an opportunity you want to be involved in and could see yourself growing in, then simply apply and we can discuss further! Electrical Calibration Operator 12-Month Contract Based in Bolton Offering 28.35ph Inside IR35 Apprenticeship required - Electrical/Electronic Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Apr 21, 2026
Contractor
Electrical Calibration Operator 12-Month Contract Based in Bolton Offering 28.35ph Inside IR35 Apprenticeship required - Electrical/Electronic Do you hold an Electrical/Electronic Apprenticeship? Do you have experience conducting calibrations on instruments? Do you want to work with an industry-leading company? If the answer is yes to these, then this role could be for you. You will be working as the Electrical Calibration Operator with a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry. You will be a key member of the Manufacturing function within the business where you will be tasked to carry out routine calibration of Special To Type Test Equipment (STTE) and Commercial Off The Shelf (COTS) equipment. This role will not be working with products so it is not essential you have experience with products, rather Test and process equipment experience is ideal. For this role, you will be required to hold an approved apprenticeship relating to Electrical/Electronic Engineering to NVQ Level 3/TR23/TR21. Your responsibilities will involve: Working in a multi-disciplined team to support the Operations team. Initial calibration, routine calibration, and maintenance of test and measurement equipment. Ensure that both factory and proprietary test and measuring equipment are maintained in line with current procedures. Carry out calibration and repair tasks in accordance with departmental processes and procedures. Generating clear and comprehensive calibration/maintenance records for traceability purposes. The skillset/experience you may have includes: Generate clear and comprehensive calibration & maintenance records. Experience in calibrating COTS/Special to Type Test Equipment Experience in calibrating electrical equipment such as Power Supplies, Multimeters, Oscilloscopes, Function Generators, etc. Experience in In-service Inspection and Testing of Electrical Equipment Be competent in following the manufacturer's instructions. A good understanding of SAP would be desirable. Time served apprenticeship/modern apprenticeship or NVQ Level 3 City & Guilds part 2 & 3/ONC/HNC in Electronics Experience working on Environmental Stress Screening Facilities (ESS) If this sounds like an opportunity you want to be involved in and could see yourself growing in, then simply apply and we can discuss further! Electrical Calibration Operator 12-Month Contract Based in Bolton Offering 28.35ph Inside IR35 Apprenticeship required - Electrical/Electronic Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
About the Role: As a CBRE Maintenance Technician, you will be responsible for maintaining small to medium-sized buildings, industrial systems, and equipment. This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Perform ongoing preventive maintenance and repairs on mechanical, electrical, and other building systems. Conduct routine maintenance inspections, diagnose potential problems, and make repairs. Assist with the installation and modification of building equipment and systems. Review assigned work orders and partner with available systems to track completion. Support energy management by ensuring all building systems are operating efficiently. Inspect existing installations for compliance with building codes and safety regulations. Use existing procedures to solve straightforward problems. Exchange straightforward information in a clear, concise manner. Impact team through defined duties, methods and tasks as described in detail. Deliver own output by following defined procedures and processes under close supervision and guidance. What You'll Need: High School Diploma, GED, or trade school diploma with 1-2 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to follow basic work routines and standards in the application of work. Communication skills to exchange straightforward information. Working knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Strong organizational skills with an inquisitive mindset.
Apr 21, 2026
Full time
About the Role: As a CBRE Maintenance Technician, you will be responsible for maintaining small to medium-sized buildings, industrial systems, and equipment. This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Perform ongoing preventive maintenance and repairs on mechanical, electrical, and other building systems. Conduct routine maintenance inspections, diagnose potential problems, and make repairs. Assist with the installation and modification of building equipment and systems. Review assigned work orders and partner with available systems to track completion. Support energy management by ensuring all building systems are operating efficiently. Inspect existing installations for compliance with building codes and safety regulations. Use existing procedures to solve straightforward problems. Exchange straightforward information in a clear, concise manner. Impact team through defined duties, methods and tasks as described in detail. Deliver own output by following defined procedures and processes under close supervision and guidance. What You'll Need: High School Diploma, GED, or trade school diploma with 1-2 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to follow basic work routines and standards in the application of work. Communication skills to exchange straightforward information. Working knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Strong organizational skills with an inquisitive mindset.
Are you seeking a work environment that will allow you to grow? Do you hold manufacturing or production experience that you wish to build on? Are you based in or around Lisburn? We have an initially temporary position within Tata Steel's Lisburn works. The successful applicant will be of proactive character, who is eager to learn and considers themselves to be a team player, grounded and genuinely interested in the Steel production and manufacturing environment. This position presents the chance to acquire industry recognised qualifications and progress to multiple Production Lines or become a Unit Trainer. Role: Single Line Operator Location: Tata Steel, Lissue Walk, Lisburn BT28 2SN Rate: 13.26ph, increasing to 14.40ph after training and relevant skills acquired Overtime available at OT 1.5 Contract length: 6 months initially with the view to extend or offer a permanent position Shift Patterns: 35.15 hours per week. After training, X2 shift rotation: Week 1 06:00-14:00 Mon-Thu and 06:00-13:00 Fri Week 2 14:00-22:00 Mon-Thu and 13:00-20:00 Fri Start: ASAP but pending the successful completion of a medical assessment, which does include a Drug and Alcohol test Responsibilities: Manufacturing Steel product according to robust requirements at all times Recording, labelling and storing product against company guidelines at all times (once trained) Using Overhead Cranes to move product around and from the shop floor Operating heavy machinery including but not limited to; slitting machine, decoiling machine, shearing machine Ensuring a high quality finish on all products and conducting quality checks accordingly Adhering to the plants procedures and PPE instructions at all times Undertaking safe operation of equipment and machines within the Engineering Shop, including basic maintenance Working within COSHH regulations Adhering to UK Health and Safety legislation at all times Essential requirements: Driving Licence and access to own vehicle (due to some of the shift timings) Previous experience or strong interest within a Heavy Industry, Construction, Production and/or Manufacturing environment Previous experience with operating and setting machinery (advantage) Enthusiasm towards continuous improvement and continued personal development Good written and verbal communication skills Ability to adhere to ALL the shift patterns mentioned above Flexibility towards overtime Ability to be standing for long periods of time and conduct regular light manual handling Strong knowledge of UK Health and Safety legislation Benefits: Advice and editing on your current CV Dedicated team throughout your journey within the role Paid holiday of 35 days per annum, which includes Bank Holidays Exclusive online services including restaurant and retail discounts Chance to receive 300 for referring a friend Opportunity for progression into permanent roles Opportunity to progress and acquire multiple, recognised industry qualifications Health and well-being portal benefits including free Mental Health support Does this role sound interesting? Apply today and a member of the team will be in contact if you meet our requirements. All applicants are subject to vetting checks including: Right to work check, Medical check and reference check. Randstad Business Support is acting as an Employment Business in relation to this vacancy.
Apr 21, 2026
Contractor
Are you seeking a work environment that will allow you to grow? Do you hold manufacturing or production experience that you wish to build on? Are you based in or around Lisburn? We have an initially temporary position within Tata Steel's Lisburn works. The successful applicant will be of proactive character, who is eager to learn and considers themselves to be a team player, grounded and genuinely interested in the Steel production and manufacturing environment. This position presents the chance to acquire industry recognised qualifications and progress to multiple Production Lines or become a Unit Trainer. Role: Single Line Operator Location: Tata Steel, Lissue Walk, Lisburn BT28 2SN Rate: 13.26ph, increasing to 14.40ph after training and relevant skills acquired Overtime available at OT 1.5 Contract length: 6 months initially with the view to extend or offer a permanent position Shift Patterns: 35.15 hours per week. After training, X2 shift rotation: Week 1 06:00-14:00 Mon-Thu and 06:00-13:00 Fri Week 2 14:00-22:00 Mon-Thu and 13:00-20:00 Fri Start: ASAP but pending the successful completion of a medical assessment, which does include a Drug and Alcohol test Responsibilities: Manufacturing Steel product according to robust requirements at all times Recording, labelling and storing product against company guidelines at all times (once trained) Using Overhead Cranes to move product around and from the shop floor Operating heavy machinery including but not limited to; slitting machine, decoiling machine, shearing machine Ensuring a high quality finish on all products and conducting quality checks accordingly Adhering to the plants procedures and PPE instructions at all times Undertaking safe operation of equipment and machines within the Engineering Shop, including basic maintenance Working within COSHH regulations Adhering to UK Health and Safety legislation at all times Essential requirements: Driving Licence and access to own vehicle (due to some of the shift timings) Previous experience or strong interest within a Heavy Industry, Construction, Production and/or Manufacturing environment Previous experience with operating and setting machinery (advantage) Enthusiasm towards continuous improvement and continued personal development Good written and verbal communication skills Ability to adhere to ALL the shift patterns mentioned above Flexibility towards overtime Ability to be standing for long periods of time and conduct regular light manual handling Strong knowledge of UK Health and Safety legislation Benefits: Advice and editing on your current CV Dedicated team throughout your journey within the role Paid holiday of 35 days per annum, which includes Bank Holidays Exclusive online services including restaurant and retail discounts Chance to receive 300 for referring a friend Opportunity for progression into permanent roles Opportunity to progress and acquire multiple, recognised industry qualifications Health and well-being portal benefits including free Mental Health support Does this role sound interesting? Apply today and a member of the team will be in contact if you meet our requirements. All applicants are subject to vetting checks including: Right to work check, Medical check and reference check. Randstad Business Support 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. 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.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Are you seeking a work environment that will allow you to grow? Do you hold manufacturing or production experience that you wish to build on? Are you based in or around Lisburn? We have an initially temporary position within Tata Steel's Lisburn works. The successful applicant will be of proactive character, who is eager to learn and considers themselves to be a team player, grounded and genuinely interested in the Steel production and manufacturing environment. This position presents the chance to acquire industry recognised qualifications and progress to multiple Production Lines or become a Unit Trainer. Role: Line Operator (Nights) Location: Tata Steel, Lissue Walk, Lisburn BT28 2SN Rate: 14.40ph as well as 13% Shift allowance. ( 16.27ph) Contract length: 6 months initially with the view to extend or offer a permanent position Shift Patterns: 22:00-06:00 Sun-Wed morning and 22:00-05:00 Thu/Fri morning Start: ASAP but pending the successful completion of a medical assessment, which does include a Drug and Alcohol test Responsibilities: Manufacturing Steel product according to robust requirements at all times Recording, labelling and storing product against company guidelines at all times (once trained) Using Overhead Cranes to move product around and from the shop floor Operating heavy machinery including but not limited to; slitting machine, decoiling machine, shearing machine Ensuring a high quality finish on all products and conducting quality checks accordingly Adhering to the plants procedures and PPE instructions at all times Undertaking safe operation of equipment and machines within the Engineering Shop, including basic maintenance Working within COSHH regulations Adhering to UK Health and Safety legislation at all times Essential requirements: Driving Licence and access to own vehicle (due to shift timings) Previous experience or strong interest within a Heavy Industry, Construction, Production and/or Manufacturing environment Previous experience with operating and setting machinery (advantage) Enthusiasm towards continuous improvement and continued personal development Good written and verbal communication skills Ability to adhere to ALL the shift patterns mentioned above Flexibility towards overtime Ability to be standing for long periods of time and conduct regular light manual handling Strong knowledge of UK Health and Safety legislation Benefits: Advice and editing on your current CV Dedicated team throughout your journey within the role Paid holiday of 35 days per annum, which includes Bank Holidays Exclusive online services including restaurant and retail discounts Chance to receive 300 for referring a friend Opportunity for progression into permanent roles Opportunity to progress and acquire multiple, recognised industry qualifications Health and well-being portal benefits including free Mental Health support Does this role sound interesting? Apply today and a member of the team will be in contact if you meet our requirements. All applicants are subject to vetting checks including: Right to work check, Medical check and reference check. Randstad Business Support is acting as an Employment Agency in relation to this vacancy.
Apr 21, 2026
Full time
Are you seeking a work environment that will allow you to grow? Do you hold manufacturing or production experience that you wish to build on? Are you based in or around Lisburn? We have an initially temporary position within Tata Steel's Lisburn works. The successful applicant will be of proactive character, who is eager to learn and considers themselves to be a team player, grounded and genuinely interested in the Steel production and manufacturing environment. This position presents the chance to acquire industry recognised qualifications and progress to multiple Production Lines or become a Unit Trainer. Role: Line Operator (Nights) Location: Tata Steel, Lissue Walk, Lisburn BT28 2SN Rate: 14.40ph as well as 13% Shift allowance. ( 16.27ph) Contract length: 6 months initially with the view to extend or offer a permanent position Shift Patterns: 22:00-06:00 Sun-Wed morning and 22:00-05:00 Thu/Fri morning Start: ASAP but pending the successful completion of a medical assessment, which does include a Drug and Alcohol test Responsibilities: Manufacturing Steel product according to robust requirements at all times Recording, labelling and storing product against company guidelines at all times (once trained) Using Overhead Cranes to move product around and from the shop floor Operating heavy machinery including but not limited to; slitting machine, decoiling machine, shearing machine Ensuring a high quality finish on all products and conducting quality checks accordingly Adhering to the plants procedures and PPE instructions at all times Undertaking safe operation of equipment and machines within the Engineering Shop, including basic maintenance Working within COSHH regulations Adhering to UK Health and Safety legislation at all times Essential requirements: Driving Licence and access to own vehicle (due to shift timings) Previous experience or strong interest within a Heavy Industry, Construction, Production and/or Manufacturing environment Previous experience with operating and setting machinery (advantage) Enthusiasm towards continuous improvement and continued personal development Good written and verbal communication skills Ability to adhere to ALL the shift patterns mentioned above Flexibility towards overtime Ability to be standing for long periods of time and conduct regular light manual handling Strong knowledge of UK Health and Safety legislation Benefits: Advice and editing on your current CV Dedicated team throughout your journey within the role Paid holiday of 35 days per annum, which includes Bank Holidays Exclusive online services including restaurant and retail discounts Chance to receive 300 for referring a friend Opportunity for progression into permanent roles Opportunity to progress and acquire multiple, recognised industry qualifications Health and well-being portal benefits including free Mental Health support Does this role sound interesting? Apply today and a member of the team will be in contact if you meet our requirements. All applicants are subject to vetting checks including: Right to work check, Medical check and reference check. Randstad Business Support is acting as an Employment Agency in relation to this vacancy.
About the Role: As a CBRE Fabric Technician, you will be responsible for proactive and reactive building maintenance and repair services for client contracts. This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Support clients in an efficient and courteous manner, with a strong focus on customer care. Perform ongoing preventive maintenance and repairs on facilities. Assist with the installation and modification of building equipment and systems. Inspect new or existing installations for compliance with building codes and safety regulations. Assist engineering staff in a wide range of duties as required. Respond to common inquiries or complaints from clients, co-workers, and supervisors. Take measures to ensure that all systems are operating in the most efficient manner. Use existing procedures to solve straightforward problems while having a limited opportunity to exercise discretion. Impact through clearly defined duties, methods, and tasks are described in detail. Deliver own output by following defined procedures and processes under close supervision and guidance. What You'll Need: High School Diploma, GED, or trade school diploma with 1-2 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Valid Driver's license required. Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to follow basic work routines and standards in the application of work. Communication skills to exchange straightforward information. Working knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Strong organizational skills with an inquisitive mindset.
Apr 21, 2026
Full time
About the Role: As a CBRE Fabric Technician, you will be responsible for proactive and reactive building maintenance and repair services for client contracts. This job is part of the Engineering and Technical Services job function. They are responsible for providing support, preventive maintenance, and repairs on equipment and systems. What You'll Do: Support clients in an efficient and courteous manner, with a strong focus on customer care. Perform ongoing preventive maintenance and repairs on facilities. Assist with the installation and modification of building equipment and systems. Inspect new or existing installations for compliance with building codes and safety regulations. Assist engineering staff in a wide range of duties as required. Respond to common inquiries or complaints from clients, co-workers, and supervisors. Take measures to ensure that all systems are operating in the most efficient manner. Use existing procedures to solve straightforward problems while having a limited opportunity to exercise discretion. Impact through clearly defined duties, methods, and tasks are described in detail. Deliver own output by following defined procedures and processes under close supervision and guidance. What You'll Need: High School Diploma, GED, or trade school diploma with 1-2 years of job-related experience. In lieu of a diploma, a combination of experience and education will be considered. Valid Driver's license required. Meet the physical requirements of this role including stooping, standing, walking, climbing stairs/ladders, and the ability to lift/carry heavy loads of 50 lbs. or more. Ability to follow basic work routines and standards in the application of work. Communication skills to exchange straightforward information. Working knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc. Strong organizational skills with an inquisitive mindset.
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.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
AWS Connect Solutions Architect/Lead Engineer £450 - £600 per day | Outside IR35 | Fully Remote | Initial 6-Month Contract The Opportunity You'll be brought in to strengthen the current structure, provide senior technical ownership of AWS Connect, and support multiple squads who need specialist expertise. The business currently uses the platform across telephony and webchat, with ambitions to extend usage into wider customer service and engagement channels. Key Responsibilities Lead the engineering strategy and roadmap for the AWS Connect platform Act as the senior technical SME across multiple product squads Design scalable, secure, and efficient AWS Connect solutions Improve and optimise existing telephony and webchat capabilities Support maintenance, enhancements, and future platform growth Work closely with product, engineering, and business stakeholders Provide hands-on delivery where needed across architecture and engineering Required Experience Strong commercial experience with Amazon Connect/AWS Connect (essential) Proven background as a Solutions Architect, Lead Engineer, or similar senior role Hands-on engineering capability - not just high-level design Strong AWS services knowledge including: AWS Lambda Amazon Lex Python DynamoDB Experience supporting contact centre transformation programmes Ability to work autonomously in a consultative contract environment
Apr 21, 2026
Contractor
AWS Connect Solutions Architect/Lead Engineer £450 - £600 per day | Outside IR35 | Fully Remote | Initial 6-Month Contract The Opportunity You'll be brought in to strengthen the current structure, provide senior technical ownership of AWS Connect, and support multiple squads who need specialist expertise. The business currently uses the platform across telephony and webchat, with ambitions to extend usage into wider customer service and engagement channels. Key Responsibilities Lead the engineering strategy and roadmap for the AWS Connect platform Act as the senior technical SME across multiple product squads Design scalable, secure, and efficient AWS Connect solutions Improve and optimise existing telephony and webchat capabilities Support maintenance, enhancements, and future platform growth Work closely with product, engineering, and business stakeholders Provide hands-on delivery where needed across architecture and engineering Required Experience Strong commercial experience with Amazon Connect/AWS Connect (essential) Proven background as a Solutions Architect, Lead Engineer, or similar senior role Hands-on engineering capability - not just high-level design Strong AWS services knowledge including: AWS Lambda Amazon Lex Python DynamoDB Experience supporting contact centre transformation programmes Ability to work autonomously in a consultative contract environment
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.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Legal Operations Manager £65,000 - £75,000 plus benefits Reports to: Lead Senior Solicitor Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London - High Flex (1-2 days per week in the office) Closing date: Friday 24th April 23:55pm Recruitment process: Competency-based interview process with task. Interview date: Approximately week commencing 4th May 2026 At Cancer Research UK, we exist to beat cancer. We're excited to offer a newly created opportunity for a Legal Operations Manager to join our Research & Innovation Legal team. This is a pivotal role with real scope to make a meaningful impact, shaping how we deliver legal services that support life changing research. In this role, you'll lead continuous improvement across our Research & Innovation legal operations and systems. You'll play a key part in reviewing and developing our legal operating model and strategy, identifying opportunities to streamline processes, optimise existing technologies, and explore innovative new technical solutions. Working closely with the Director of Legal, Lead Senior Solicitors, and stakeholders across the organisation, you'll design, deliver, and communicate transformative change. Together, you'll redefine how we deliver legal services, establish best practice, and embed smarter, more effective ways of working across the function. This is an exciting opportunity for someone who thrives on improvement, collaboration, and making a tangible difference within a purpose driven organisation. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites across the UK you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Operational Strategy & Process Improvement: Review, develop, and innovate the legal service model to improve efficiency and effectiveness. Lead process mapping, workflow design, and implementation of best practices, including contracting and approval processes, playbooks and operating procedures. Identify opportunities for continuous improvement and operational excellence across legal services. Oversee design, development, and maintenance of process documentation, governance strategies, and workflows. Technology & Legal Tech Integration: Develop and implement a long term roadmap for legal technology and AI adoption and optimisation, ensuring alignment with organisational priorities and R&I Legal needs. Manage integration of legal technology and AI tools within existing systems, working closely with suppliers and internal technology teams to ensure smooth deployment and interoperability. Evaluate, pilot and roll out new technologies - such as case management systems, intake portals, automation, document intelligence tools, knowledge-management and other AI enabled solutions - addressing operational challenges across R&I Legal and wider organisation. Design and prototype lightweight custom AI solutions where required, lead responsible implementation (including governance, risk and compliance considerations), deliver stakeholder training, and monitor emerging AI capabilities to drive continuous improvement. Data & Business Intelligence: Develop high-quality management information and reporting processes. Work with senior team members to collect, analyse, and present relevant metrics to inform strategic decision-making. Use AI assisted analytics tools where appropriate to enhance reporting, trend analysis and decision support insights. Knowledge Management & Training: Facilitate knowledge hubs, templates, and best practice materials to prevent knowledge loss. Work with Learning & Development to deliver training, presentations, and demonstrations on legal tech and new processes. Stakeholder Engagement: Collaborate with senior leaders and cross-functional teams to design and communicate transformative changes. Assisting the Director of Legal in preparing and delivering impactful communications to foster collaboration, ensure consistency and build user confidence, including roll-out plans, service updates, and training materials. Build and maintain good working relationships across the organisation. Coordinate internal team operations - including regular team meetings, documentation, scheduling, and action tracking, and support governance of the departmental budget through structured monitoring, reporting, and alignment with Finance What are we looking for? Significant experience in legal operations or project/change management. Experience identifying, piloting or implementing AI or automation tools within in-house legal teams or comparable environments. Ability to design or customise AI based solutions (e.g., utilising LLMs, prompt engineering, automation platforms, or basic scripting) is a plus. Strong understanding of legal technology and its application to improve workflows, including knowledge of market leading vendors, and core use cases. Excellent project management, prioritisation, and organisational skills. Ability to influence and communicate effectively at all levels, including leadership. Analytical and problem-solving skills with experience in business intelligence and data-driven decision-making. Strategic thinker with a genuine interest in solution design and innovation. Commitment to Cancer Research UK's mission and values. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
Apr 21, 2026
Full time
Legal Operations Manager £65,000 - £75,000 plus benefits Reports to: Lead Senior Solicitor Directorate: Research & Innovation Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London - High Flex (1-2 days per week in the office) Closing date: Friday 24th April 23:55pm Recruitment process: Competency-based interview process with task. Interview date: Approximately week commencing 4th May 2026 At Cancer Research UK, we exist to beat cancer. We're excited to offer a newly created opportunity for a Legal Operations Manager to join our Research & Innovation Legal team. This is a pivotal role with real scope to make a meaningful impact, shaping how we deliver legal services that support life changing research. In this role, you'll lead continuous improvement across our Research & Innovation legal operations and systems. You'll play a key part in reviewing and developing our legal operating model and strategy, identifying opportunities to streamline processes, optimise existing technologies, and explore innovative new technical solutions. Working closely with the Director of Legal, Lead Senior Solicitors, and stakeholders across the organisation, you'll design, deliver, and communicate transformative change. Together, you'll redefine how we deliver legal services, establish best practice, and embed smarter, more effective ways of working across the function. This is an exciting opportunity for someone who thrives on improvement, collaboration, and making a tangible difference within a purpose driven organisation. About Cancer Research Horizons As the world's biggest medical research charity, we've helped bring eleven new cancer drugs to market. However, there is still an urgent need to bring more effective treatments to patients faster. We have recently developed a new approach to driving therapeutic innovation through the creation of Cancer Research Horizons (CRH). We have brought together Cancer Research UK's established drug discovery teams under one organisation and leadership team, combining our unique pipeline of cancer biology expertise and access to CRUK's world-class academic network, cutting edge technology platforms and clinical expertise to 1) Bring new treatments to patients faster and 2) Tackle the biggest challenges in discovering cancer drugs by seeking out more radical ideas and embracing risk in our bid to achieve success. Based at sites across the UK you'll be joining over 200 staff from both industrial and academic backgrounds, all dedicated to bringing forward the day we cure cancer. What will you be doing? Operational Strategy & Process Improvement: Review, develop, and innovate the legal service model to improve efficiency and effectiveness. Lead process mapping, workflow design, and implementation of best practices, including contracting and approval processes, playbooks and operating procedures. Identify opportunities for continuous improvement and operational excellence across legal services. Oversee design, development, and maintenance of process documentation, governance strategies, and workflows. Technology & Legal Tech Integration: Develop and implement a long term roadmap for legal technology and AI adoption and optimisation, ensuring alignment with organisational priorities and R&I Legal needs. Manage integration of legal technology and AI tools within existing systems, working closely with suppliers and internal technology teams to ensure smooth deployment and interoperability. Evaluate, pilot and roll out new technologies - such as case management systems, intake portals, automation, document intelligence tools, knowledge-management and other AI enabled solutions - addressing operational challenges across R&I Legal and wider organisation. Design and prototype lightweight custom AI solutions where required, lead responsible implementation (including governance, risk and compliance considerations), deliver stakeholder training, and monitor emerging AI capabilities to drive continuous improvement. Data & Business Intelligence: Develop high-quality management information and reporting processes. Work with senior team members to collect, analyse, and present relevant metrics to inform strategic decision-making. Use AI assisted analytics tools where appropriate to enhance reporting, trend analysis and decision support insights. Knowledge Management & Training: Facilitate knowledge hubs, templates, and best practice materials to prevent knowledge loss. Work with Learning & Development to deliver training, presentations, and demonstrations on legal tech and new processes. Stakeholder Engagement: Collaborate with senior leaders and cross-functional teams to design and communicate transformative changes. Assisting the Director of Legal in preparing and delivering impactful communications to foster collaboration, ensure consistency and build user confidence, including roll-out plans, service updates, and training materials. Build and maintain good working relationships across the organisation. Coordinate internal team operations - including regular team meetings, documentation, scheduling, and action tracking, and support governance of the departmental budget through structured monitoring, reporting, and alignment with Finance What are we looking for? Significant experience in legal operations or project/change management. Experience identifying, piloting or implementing AI or automation tools within in-house legal teams or comparable environments. Ability to design or customise AI based solutions (e.g., utilising LLMs, prompt engineering, automation platforms, or basic scripting) is a plus. Strong understanding of legal technology and its application to improve workflows, including knowledge of market leading vendors, and core use cases. Excellent project management, prioritisation, and organisational skills. Ability to influence and communicate effectively at all levels, including leadership. Analytical and problem-solving skills with experience in business intelligence and data-driven decision-making. Strategic thinker with a genuine interest in solution design and innovation. Commitment to Cancer Research UK's mission and values. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human : Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience, we'd still love to hear from you. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively. For more information on this career opportunity please visit our website or contact us. For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, X and YouTube.
General Maintenance Fitter Job Introduction GENERAL MAINTENANCE FITTER (WELDER) PERMANENT DERRYLIN, CO FERMANAGH £34,381.97 As our General Maintenance Fitter you will undertake all engineering maintenance activities inclusive of day to day breakdowns, planned preventative maintenance and installations. The Key Requirements Recognised time served apprenticeship eg City & Guilds or BTEC in Engineering Recognised Welding Qualifications preferably City & Guilds 3268 Level 3 FLT & MEWP Licences Confined space and working at heights training Hours : Mon-Thurs 8am-5pm, Fri 8am-3.15pm 39.5 hrs per week Encirc produces up to three billion glass bottles and containers each year, many of which you will find in your homes. In 2021, we created the world's most sustainable bottles, using 100% recycled glass. Our collective purpose is to deliver and uphold world-leading sustainable innovation, with great people and a great workplace collaborating on a great future. Joining Encirc means you will be joining a business with a bespoke, 360-approach to the beverage supply chain, spanning filling, warehousing, and logistics. Reducing the road miles and carbon footprint of our customers' products, we are conscious disruptors prioritising sustainability and modern technology. We are proud to be market leaders in glass container design, manufacturing, bottling, and logistics solutions for the UK and Irish food and beverages industries. As a forward-thinking and sustainable business, we are committed to achieving zero emissions by 2030. The Benefits and Perks Annual leave package Free onsite gym for all employees Mybenefits Reward Platform with 100s of discounts at restaurants and retailers Employee Well-being benefits Social Club Pension scheme Employer Funded Health cash plan for claiming back money on routine treatments Health Insurance Options Dental Insurance Options Critical Illness Insurance Life cover for self and partner Professional Development Planning with onsite HR team International organisation with plenty of opportunities The Next Step For further information and to submit your application, click the apply icon.
Apr 21, 2026
Full time
General Maintenance Fitter Job Introduction GENERAL MAINTENANCE FITTER (WELDER) PERMANENT DERRYLIN, CO FERMANAGH £34,381.97 As our General Maintenance Fitter you will undertake all engineering maintenance activities inclusive of day to day breakdowns, planned preventative maintenance and installations. The Key Requirements Recognised time served apprenticeship eg City & Guilds or BTEC in Engineering Recognised Welding Qualifications preferably City & Guilds 3268 Level 3 FLT & MEWP Licences Confined space and working at heights training Hours : Mon-Thurs 8am-5pm, Fri 8am-3.15pm 39.5 hrs per week Encirc produces up to three billion glass bottles and containers each year, many of which you will find in your homes. In 2021, we created the world's most sustainable bottles, using 100% recycled glass. Our collective purpose is to deliver and uphold world-leading sustainable innovation, with great people and a great workplace collaborating on a great future. Joining Encirc means you will be joining a business with a bespoke, 360-approach to the beverage supply chain, spanning filling, warehousing, and logistics. Reducing the road miles and carbon footprint of our customers' products, we are conscious disruptors prioritising sustainability and modern technology. We are proud to be market leaders in glass container design, manufacturing, bottling, and logistics solutions for the UK and Irish food and beverages industries. As a forward-thinking and sustainable business, we are committed to achieving zero emissions by 2030. The Benefits and Perks Annual leave package Free onsite gym for all employees Mybenefits Reward Platform with 100s of discounts at restaurants and retailers Employee Well-being benefits Social Club Pension scheme Employer Funded Health cash plan for claiming back money on routine treatments Health Insurance Options Dental Insurance Options Critical Illness Insurance Life cover for self and partner Professional Development Planning with onsite HR team International organisation with plenty of opportunities The Next Step For further information and to submit your application, click the apply icon.
Director of Engineering - London Director of Engineering London sets the perfect stage for The Standard's first European flagship and since opening in 2019, The Standard, London has firmly established itself as one of the capital's most dynamic lifestyle hotels. Set in King's Cross within the hotel's iconic brutalist building, The Standard brings its design-led, culture-driven, activation-heavy philosophy to the heart of the city. With 266 guestrooms ranging from snug Cosy Cores to terraced suites with outdoor bathtubs overlooking St Pancras Station, the hotel has become both a neighbourhood fixture and an international destination. A constant programme of Happenings, from DJs and brunches to live music and cultural panels keeps our spaces alive from early morning through late night. Our Restaurants, Bars and Rooftop terraces are legendary. Isla offers seasonal, produce-led menus on a serene garden terrace; Double Standard pairs American diner spirit with British pub classics; The Rooftop serves cocktails and pizza with panoramic London views; and Decimo brings bold Mexican Spanish cooking, mezcal and skyline views via our iconic red-pill lift. Together, these venues create a complex, high-volume, multi-outlet operation welcoming hotel guests, London locals and international visitors alike. In London, The Standard's signature mix of playful, sophisticated and unexpected hospitality continues to evolve, rooted firmly in the culture and energy of the city. We are now looking for a Director of Engineering who will embody our Anything but Standard ethos and lead the continued performance, protection and evolution of our iconic building. Your role As our Director of Engineering , you will work in partnership with our General Manager, Senior Executive team and Ownership to oversee the Engineering function of The Standard, London. As part of our senior leadership team, you will be responsible for the overall management of the hotel's building systems, plant, equipment and physical assets. You will ensure that every area of the property, from guest rooms and public spaces to kitchens, rooftop venues and back-of-house, operates seamlessly, safely and efficiently. You will lead and inspire our in-house Engineering team, including Shift Engineers and trade specialists, ensuring the department delivers both reactive and planned maintenance to the highest possible standards. In addition, you will oversee specialist contractors and service providers, ensuring compliance, quality and value across all service agreements. From a strategic perspective, you will manage the Engineering operating budget and annual Capex plan, leading capital projects and lifecycle planning to protect and enhance this architecturally significant building. You will oversee all statutory compliance including Health & Safety, Fire Safety and Building Safety regulations, ensuring all testing, certification and documentation is maintained to the highest standards. This is not a back-office engineering role. You will be highly visible across the property, supporting operations during high-profile events and activations, ensuring systems perform flawlessly within a fast-paced, high-volume lifestyle environment. Do you have what it takes to be our Director of Engineering at The Standard, London? While we take every detail of design and guest experience seriously, we do not take ourselves too seriously. Standard People are at the heart of our brand, vivid, dynamic and engaging. You will instinctively understand the unique microcosm of our venues and the city you represent. To be successful in this role you will have: A minimum of 5+ years' experience in a senior Engineering leadership role, with at least 2-3 years as a Director of Engineering or Chief Engineer within a lifestyle, boutique or large 4 or 5 star hotel A recognised trade qualification in Electrical, Mechanical, Gas, Plumbing or Refrigeration, with strong working knowledge of hotel systems and BMS A solid understanding of UK Health & Safety, Fire Safety and Building Safety legislation Proven experience managing and developing a visible, multi-skilled engineering team Strong financial acumen including management of operating budgets and Capex Demonstrated experience delivering complex engineering or refurbishment projects Exceptional communication skills with the confidence to build strong relationships at all levels of the business You will be highly organised, detail focused and commercially aware, with the ability to remain calm under pressure and thrive in a high-energy, culturally driven environment. If you think you have what it takes to be our Director of Engineering at The Standard, London, we would love to hear from you. All applicants must be eligible to live and work in the UK. Documented evidence of eligibility will be required prior to commencing employment. Benefits Include Bonus Scheme Business & Personal Travel Insurance Meals on duty 33 Days Holiday Pension Scheme Life Assurance (4 x Annual Salary) Medical Assistance (including online GP and Physio) Employee Assistance Programme with Well-being service Membership to Headspace Meditation app Discount platform including GYM Worldwide Travel Discounts via The Standard Advantage platform Employee & Family Rates across all Standard and Hyatt properties world wide Growth and Development opportunities internationally with Hyatt In-house Experience Programme F&B Discounts ranging from 25-50% Recruitment Referral Bonus up to 1,000 Tuition Aid Scheme & subsidised training Season Ticket Loan & Bike 2 Work Scheme Social Committee with regular monthly social activities
Apr 21, 2026
Full time
Director of Engineering - London Director of Engineering London sets the perfect stage for The Standard's first European flagship and since opening in 2019, The Standard, London has firmly established itself as one of the capital's most dynamic lifestyle hotels. Set in King's Cross within the hotel's iconic brutalist building, The Standard brings its design-led, culture-driven, activation-heavy philosophy to the heart of the city. With 266 guestrooms ranging from snug Cosy Cores to terraced suites with outdoor bathtubs overlooking St Pancras Station, the hotel has become both a neighbourhood fixture and an international destination. A constant programme of Happenings, from DJs and brunches to live music and cultural panels keeps our spaces alive from early morning through late night. Our Restaurants, Bars and Rooftop terraces are legendary. Isla offers seasonal, produce-led menus on a serene garden terrace; Double Standard pairs American diner spirit with British pub classics; The Rooftop serves cocktails and pizza with panoramic London views; and Decimo brings bold Mexican Spanish cooking, mezcal and skyline views via our iconic red-pill lift. Together, these venues create a complex, high-volume, multi-outlet operation welcoming hotel guests, London locals and international visitors alike. In London, The Standard's signature mix of playful, sophisticated and unexpected hospitality continues to evolve, rooted firmly in the culture and energy of the city. We are now looking for a Director of Engineering who will embody our Anything but Standard ethos and lead the continued performance, protection and evolution of our iconic building. Your role As our Director of Engineering , you will work in partnership with our General Manager, Senior Executive team and Ownership to oversee the Engineering function of The Standard, London. As part of our senior leadership team, you will be responsible for the overall management of the hotel's building systems, plant, equipment and physical assets. You will ensure that every area of the property, from guest rooms and public spaces to kitchens, rooftop venues and back-of-house, operates seamlessly, safely and efficiently. You will lead and inspire our in-house Engineering team, including Shift Engineers and trade specialists, ensuring the department delivers both reactive and planned maintenance to the highest possible standards. In addition, you will oversee specialist contractors and service providers, ensuring compliance, quality and value across all service agreements. From a strategic perspective, you will manage the Engineering operating budget and annual Capex plan, leading capital projects and lifecycle planning to protect and enhance this architecturally significant building. You will oversee all statutory compliance including Health & Safety, Fire Safety and Building Safety regulations, ensuring all testing, certification and documentation is maintained to the highest standards. This is not a back-office engineering role. You will be highly visible across the property, supporting operations during high-profile events and activations, ensuring systems perform flawlessly within a fast-paced, high-volume lifestyle environment. Do you have what it takes to be our Director of Engineering at The Standard, London? While we take every detail of design and guest experience seriously, we do not take ourselves too seriously. Standard People are at the heart of our brand, vivid, dynamic and engaging. You will instinctively understand the unique microcosm of our venues and the city you represent. To be successful in this role you will have: A minimum of 5+ years' experience in a senior Engineering leadership role, with at least 2-3 years as a Director of Engineering or Chief Engineer within a lifestyle, boutique or large 4 or 5 star hotel A recognised trade qualification in Electrical, Mechanical, Gas, Plumbing or Refrigeration, with strong working knowledge of hotel systems and BMS A solid understanding of UK Health & Safety, Fire Safety and Building Safety legislation Proven experience managing and developing a visible, multi-skilled engineering team Strong financial acumen including management of operating budgets and Capex Demonstrated experience delivering complex engineering or refurbishment projects Exceptional communication skills with the confidence to build strong relationships at all levels of the business You will be highly organised, detail focused and commercially aware, with the ability to remain calm under pressure and thrive in a high-energy, culturally driven environment. If you think you have what it takes to be our Director of Engineering at The Standard, London, we would love to hear from you. All applicants must be eligible to live and work in the UK. Documented evidence of eligibility will be required prior to commencing employment. Benefits Include Bonus Scheme Business & Personal Travel Insurance Meals on duty 33 Days Holiday Pension Scheme Life Assurance (4 x Annual Salary) Medical Assistance (including online GP and Physio) Employee Assistance Programme with Well-being service Membership to Headspace Meditation app Discount platform including GYM Worldwide Travel Discounts via The Standard Advantage platform Employee & Family Rates across all Standard and Hyatt properties world wide Growth and Development opportunities internationally with Hyatt In-house Experience Programme F&B Discounts ranging from 25-50% Recruitment Referral Bonus up to 1,000 Tuition Aid Scheme & subsidised training Season Ticket Loan & Bike 2 Work Scheme Social Committee with regular monthly social activities
Cambridge University Press & Assessment
Cambridge, Cambridgeshire
Job Title: Senior Software Engineer Salary: £51,400- £68,800 Location: Cambridge/ Hybrid (40-60% office-based) Contract: Permanent Hours: 35 hours per week Are you a hands-on senior engineer who enjoys building reliable, impactful services - and helping others grow along the way? We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. We're looking for a Senior Software Engineer to join our Assessment APIs team. You'll play a key role in designing, building, and improving APIs that underpin assessment services used across our organisation, including services that integrate machine learning models. About the role As a Senior Software Engineer in the Assessment APIs team, you'll take a hands-on role across the full software development lifecycle for a critical internal platform. Working closely with the Team Lead and the Applied AI team, you'll help shape the technical direction of the service, translate business needs into robust technical solutions, and ensure our APIs remain secure, scalable and highly reliable in production. You'll also provide technical leadership within the team, mentoring engineers and line managing 1-2 direct reports, acting as deputy for the Team Lead when needed. Key responsibilities include: Owning the end-to-end design, development, testing and maintenance of API services. Contributing to the ongoing improvement and evolution of a live, production-critical platform. Implementing and integrating machine learning models and emerging AI technologies. Ensuring solutions meet performance, scalability, security and quality standards. Participating in code reviews and promoting best practice and high-quality engineering. Identifying and mitigating technical risks and vulnerabilities. Troubleshooting issues, including participation in on-call rotations and out-of-hours support. Mentoring and technically guiding other engineers. Collaborating across teams, including Applied AI and API client development teams. Supporting knowledge sharing, planning sessions and retrospectives. This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You You'll bring strong hands-on engineering experience and enjoy balancing technical delivery with mentoring and collaboration. Essential requirements: Significant experience in software engineering, gained through formal study, hands-on experience, or a combination of both. Proven experience building, deploying and supporting API services in a production environment. Strong programming experience, particularly with Clojure and Python. Solid understanding of cloud-based infrastructure, especially AWS (e.g. S3, RDS, ECS). Experience working in agile delivery environments. A track record of mentoring and supporting other engineers. Strong communication skills, with the ability to explain complex technical ideas clearly. Excellent problem-solving skills and attention to detail. If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria Desirable criteria: Experience integrating machine learning or AI-driven components into production systems. Experience supporting technology transition or knowledge transfer from external partners. Exposure to large-scale, business-critical platforms and services. For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 29 th April 2026. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. If you are shortlisted and progressed through the stages, you can expect: Screening call via Teams. Code review exercise, conducted via Teams. Solution architecture exercise, conducted via Teams. Panel interview with existing engineers, conducted via Teams. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. Documents TAPI Senior Software Engineer Job Description.pdf (118.29 KB)
Apr 21, 2026
Full time
Job Title: Senior Software Engineer Salary: £51,400- £68,800 Location: Cambridge/ Hybrid (40-60% office-based) Contract: Permanent Hours: 35 hours per week Are you a hands-on senior engineer who enjoys building reliable, impactful services - and helping others grow along the way? We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. We're looking for a Senior Software Engineer to join our Assessment APIs team. You'll play a key role in designing, building, and improving APIs that underpin assessment services used across our organisation, including services that integrate machine learning models. About the role As a Senior Software Engineer in the Assessment APIs team, you'll take a hands-on role across the full software development lifecycle for a critical internal platform. Working closely with the Team Lead and the Applied AI team, you'll help shape the technical direction of the service, translate business needs into robust technical solutions, and ensure our APIs remain secure, scalable and highly reliable in production. You'll also provide technical leadership within the team, mentoring engineers and line managing 1-2 direct reports, acting as deputy for the Team Lead when needed. Key responsibilities include: Owning the end-to-end design, development, testing and maintenance of API services. Contributing to the ongoing improvement and evolution of a live, production-critical platform. Implementing and integrating machine learning models and emerging AI technologies. Ensuring solutions meet performance, scalability, security and quality standards. Participating in code reviews and promoting best practice and high-quality engineering. Identifying and mitigating technical risks and vulnerabilities. Troubleshooting issues, including participation in on-call rotations and out-of-hours support. Mentoring and technically guiding other engineers. Collaborating across teams, including Applied AI and API client development teams. Supporting knowledge sharing, planning sessions and retrospectives. This position has been classified as a hybrid role, requiring the selected candidate to typically spend 40-60% of their time collaborating and connecting face-to-face at their dedicated location. Aside from our hybrid principles, other flexible working requests will be considered from the first day of employment, including other work arrangements should you require adjustments due to a disability or long-term health condition. About You You'll bring strong hands-on engineering experience and enjoy balancing technical delivery with mentoring and collaboration. Essential requirements: Significant experience in software engineering, gained through formal study, hands-on experience, or a combination of both. Proven experience building, deploying and supporting API services in a production environment. Strong programming experience, particularly with Clojure and Python. Solid understanding of cloud-based infrastructure, especially AWS (e.g. S3, RDS, ECS). Experience working in agile delivery environments. A track record of mentoring and supporting other engineers. Strong communication skills, with the ability to explain complex technical ideas clearly. Excellent problem-solving skills and attention to detail. If you meet the above minimum requirements, we encourage you to apply. Your application will be even stronger if you can also demonstrate the following desirable criteria Desirable criteria: Experience integrating machine learning or AI-driven components into production systems. Experience supporting technology transition or knowledge transfer from external partners. Exposure to large-scale, business-critical platforms and services. For a detailed job description, please refer to the link at the bottom of the advert on our careers site. We are a Disability Confident (DC) employer that is committed to equality and inclusion ensuring our recruitment process is accessible to all. The DC scheme's Offer of an Interview commitment applies to applicants who opt in, and disclose a disability or a long-term health condition, and best meet the minimum criteria for the role. In instances where interviewing all qualifying candidates is not practicable, we prioritise those who best meet the minimum criteria, as we would for applicants who do not have a disability or long-term health condition. Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for. Rewards and benefits We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package , featuring family-friendly and planet-friendly benefits including: 28 days annual leave plus bank holidays Private medical and Permanent Health Insurance Discretionary annual bonus Group personal pension scheme Life assurance up to 4 x annual salary Green travel schemes Ready to pursue your potential? Apply now. We aim to support candidates by making our interview process clear and transparent. The closing date for all applications will be 29 th April 2026. We will review applications on an ongoing basis, and shortlisted candidates can expect interviews to take place shortly after it closes. If you are shortlisted and progressed through the stages, you can expect: Screening call via Teams. Code review exercise, conducted via Teams. Solution architecture exercise, conducted via Teams. Panel interview with existing engineers, conducted via Teams. If you require any reasonable adjustments during the recruitment process due to a disability or a long-term health condition, there will be an opportunity for you to inform us via the online application form. We will do our best to accommodate your needs. Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry. We are committed to an equitable recruitment process. As such, applications must be submitted via our official online application procedure. Please refrain from sending your CV directly to our recruiters. If you experience technical difficulties or require additional support with submitting your online application, contact the Recruiter. Why join us Joining us is your opportunity to pursue potential. You will belong to a collaborative team that is exploring new and better ways to serve students, teachers and researchers across the globe - for the benefit of individuals, society and the world. Sharing our mission will inspire your own growth, development and progress, in an environment which embraces difference, change and aspiration. Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it is safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background. We believe better outcomes come through diversity of thought, background and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities. Documents TAPI Senior Software Engineer Job Description.pdf (118.29 KB)
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.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Principal Engineer - Systems - Design Assurance Location: Glasgow. Hybrid - 3 days / week on site . 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 £ 68,500 (DOE) 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: This is a key role leading the Design Assurance work scope on the River-Class Destroyer Programme, managing the engineering lifecycle and technical risk, through co-ordinating design reviews, zonal and compartment reviews, and maturity management and reporting to provide assurance to the customer and internal stakeholders that the desired performance is being met and maintained by the evolving design. As a Principal Engineer, you'll play a key role in ensuring the River-Class Destroyer product has the right design, and has been designed right. Core duties: You will be applying Systems Thinking to understand the wider problem space to help lead , develop and educate engineering teams to ensure they are aware and capable of delivering their accountabilities through the engineering lifecycle (in particular Design Review and Zonal Review Processes) You will lead the setting, management and reporting on measures associated with project maturity to provide assurance to the customer and internal stakeholders that the desired performance is being met and maintained by the evolving design You will lead development and maintenance of engineering and assurance processes, responding to technical developments and operational need (including; Zonal Review, Compartment Plan Approval, Zonal Completion, Technical Debt and Constrained Design processes) Through strong technical expertise & leadership , you will lead reviews, manage risks and issues, ensure governance expectations are met, and deliver work packages to cost, schedule and quality. You will also provide day to day leadership and coordination of the team, mentoring and coaching engineers, promoting systems engineering best practices and exemplify BAE Systems behaviours and ways of working Essential Skills: Applicants should hold a degree in a STEM related discipline and be a Chartered Engineer (CEng) or possess an equivalent professional registration with a relevant recognised institution Understanding and working experience of key systems engineering principles/methodologies and the engineering lifecycle Strong stakeholder engagement and management skills and leadership experience managing a high performing team Working knowledge of warship or large complex product (System of Systems) design processes, assurance activities and inter-relationships and design delivery would be advantageous The River Class Destroyer (RCD) Design Assurance Team: The team at BAE Systems work as part of the Office of the Chief Engineer in the Systems Engineering team. This is an exciting opportunity to take a wholeship system-level view of the platform and be responsible for managing key engineering governance and assurance processes on behalf of the Chief Engineer. These processes provide evidence of the design "goodness" throughout the programme lifecycle, as well as at key assurance events. You'll work closely with a wide range of internal and external stakeholders to help provide assurance that the RCD both has the right design, and has been designed right. You will lead a small team, fostering Systems Thinking and championing best practice in Systems Engineering across the programme. This is an exciting opportunity for someone who enjoys cross disciplinary engineering, big picture thinking, and shaping how complex maritime systems are assured and delivered. 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: 22nd April 2026. Interviews for this position will take place W/C 27th April. 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.
Apr 21, 2026
Full time
Job Title: Principal Engineer - Systems - Design Assurance Location: Glasgow. Hybrid - 3 days / week on site . 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 £ 68,500 (DOE) 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: This is a key role leading the Design Assurance work scope on the River-Class Destroyer Programme, managing the engineering lifecycle and technical risk, through co-ordinating design reviews, zonal and compartment reviews, and maturity management and reporting to provide assurance to the customer and internal stakeholders that the desired performance is being met and maintained by the evolving design. As a Principal Engineer, you'll play a key role in ensuring the River-Class Destroyer product has the right design, and has been designed right. Core duties: You will be applying Systems Thinking to understand the wider problem space to help lead , develop and educate engineering teams to ensure they are aware and capable of delivering their accountabilities through the engineering lifecycle (in particular Design Review and Zonal Review Processes) You will lead the setting, management and reporting on measures associated with project maturity to provide assurance to the customer and internal stakeholders that the desired performance is being met and maintained by the evolving design You will lead development and maintenance of engineering and assurance processes, responding to technical developments and operational need (including; Zonal Review, Compartment Plan Approval, Zonal Completion, Technical Debt and Constrained Design processes) Through strong technical expertise & leadership , you will lead reviews, manage risks and issues, ensure governance expectations are met, and deliver work packages to cost, schedule and quality. You will also provide day to day leadership and coordination of the team, mentoring and coaching engineers, promoting systems engineering best practices and exemplify BAE Systems behaviours and ways of working Essential Skills: Applicants should hold a degree in a STEM related discipline and be a Chartered Engineer (CEng) or possess an equivalent professional registration with a relevant recognised institution Understanding and working experience of key systems engineering principles/methodologies and the engineering lifecycle Strong stakeholder engagement and management skills and leadership experience managing a high performing team Working knowledge of warship or large complex product (System of Systems) design processes, assurance activities and inter-relationships and design delivery would be advantageous The River Class Destroyer (RCD) Design Assurance Team: The team at BAE Systems work as part of the Office of the Chief Engineer in the Systems Engineering team. This is an exciting opportunity to take a wholeship system-level view of the platform and be responsible for managing key engineering governance and assurance processes on behalf of the Chief Engineer. These processes provide evidence of the design "goodness" throughout the programme lifecycle, as well as at key assurance events. You'll work closely with a wide range of internal and external stakeholders to help provide assurance that the RCD both has the right design, and has been designed right. You will lead a small team, fostering Systems Thinking and championing best practice in Systems Engineering across the programme. This is an exciting opportunity for someone who enjoys cross disciplinary engineering, big picture thinking, and shaping how complex maritime systems are assured and delivered. 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: 22nd April 2026. Interviews for this position will take place W/C 27th April. 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.
