118 jobs found

82289 - Senior Project Manager LPN DCD This Senior Project Manager LPN DCD will report to the Programme Delivery Manager and will work within Network Operations, Distribution Capital Delivery based in our London offices. You will be a permanent employee. You will attract a salary of 99,127 and a bonus of 3%. This role can also offer blended working after probationary period (6 months) - 3 days in the office and 2 remote Job Purpose: The role of the Senior Project Manager within the Distribution Capital Delivery team is for managing a geographical team. This team ensures the delivery of distribution projects as set out in the annual investment plan. Asset Management produces the annual investment plan. We require all programmes and projects to deliver safely, to quality, on budget, on time and to customer service standards. You will be to lead the LPN DCD team of Project Managers, Work Planners, and Project Support in delivering a portfolio of projects and programmes from creation to completion. Also, the Senior Project Manager is responsible for the commercial management of contractors used to deliver LPN Network Planning projects including those working together with Capital Programme. The Senior Project Manager will support the Programme Delivery Manager with regards to budgeting and cost provision for their team. You will manage their budgets and expenditures following current Financial Authorisation Limits (FAL) empowered by the company. You will have the variety of being both technically and commercially challenging. It carries the responsibility for managing functions such as safety and customer service for the Distribution Capital Delivery activity. Also, you will support Procurement and Contract Management. This includes the delivery of professional services and engineering contracts. You will also support Asset Management in developing delivery plans/strategies and budgets for future years. Furthermore, the role will support Network Operations in responding to system emergencies and providing daily assistance. The Senior Project Manager agrees and implements the project delivery strategy, allocating works to the project managers, and monitoring the performance of both LPN Network Ops delivery teams and contractors. You will forecast resource and material requirements, monitor overall portfolio/project costs and delivery, manage contractor performance, and provide regular reporting. Principal Accountabilities Ensure that you maintain a high standard of safety management throughout all responsibilities and that UK Power Networks defines parameters within which you maintain safety performance. Promote the Incident and Injury free philosophy. Lead a team to deliver projects from creation to completion to time, quality, cost, whilst maintaining the highest levels of safety and environmental management. Manage the coordination and performance of several Project Managers. Close liaison with the Network Operations Area Managers and Lead Engineers to ensure the maximum utilisation of staff will be an important aspect of this role. Provide technical and management leadership to the team of Project Managers across all project management disciplines. Ensure construction assurance through site safety audits on quality of work, technical competencies, adherence to specifications, compliance with testing and commissioning procedures and safety and environmental procedures. Ensure that the required project completion data is compliant with policy and submitted within specified timescales for processing. Produce an overall delivery strategy and ensure provision of project managers, direct/contract resources, materials and services to ensure that project programmes are maintained. Manage the commercial arrangements with contractors to ensure that contractual arrangements are met and that cost controls are in place. Work with the appointed contractor management team to ensure utilisation of contractor resource. Ensure escalation of related issues and contractor performance to the Programme Delivery Manager. Responsible for the continuous improvement in productivity of our direct resources and contractor partners. Must aim to remove any barriers preventing the efficient delivery of work in Distribution Capital Delivery and across all Directorates. Produce forecasts for overall cost, commitment, milestone progress, resources, materials, and contracts. These forecasts ensure you meet expenditure plans and source delivery of critical items and personnel promptly. Additionally, they ensure you align with UK Power Networks procedures. Work with partners such as Asset Management, Distribution Planning, Supply Chain, Network Operations, Procurement and Contract management to ensure that materials and delivery contracts are in place to deliver the programme. Lead the team in ensuring high levels of safety and customer focus. Support the Programme Delivery Manager in the ongoing development of the team to ensure delivery of the asset portfolio plan. Ensure continuous development of the Project delivery team's knowledge and skill base training & staff development. Ensure design and construction compliance with CDM. Perform daily management of contractors and conduct regular reviews with contractors of safety, forecasts, delivery, and costs. Ensure staff comply with Company procedures and complete work to the required standard. Management and resolution of customer complaints for both internal and contractor resources.

Principal Structural Engineer St Helens Full-time Excellent Salary + Leadership Benefits An exciting opportunity has arisen for a Principal Structural Engineer to join a well-established and growing engineering consultancy in St Helens. With a strong reputation for delivering practical, high-quality structural solutions across residential, commercial, industrial, and public sector projects, the consultancy continues to expand its portfolio throughout the North West and beyond. We are now seeking an experienced and commercially aware Principal Structural Engineer to play a key leadership role within the business. The Role As Principal Structural Engineer, you will take technical and managerial responsibility for a range of structural projects, from concept design through to completion. You will lead project teams, maintain key client relationships, and contribute strategically to the ongoing development of the St Helens office. Key responsibilities include: Leading the design of structures in steel, reinforced concrete, timber, and masonry Overseeing technical delivery and quality assurance Managing project programmes, budgets, and resources Acting as the primary point of contact for key clients Mentoring and developing engineers and technicians Supporting business development and tender submissions Contributing to the strategic growth of the consultancy About You We are looking for a confident and commercially minded engineer who: Holds a degree in Civil or Structural Engineering Is Chartered (CEng) with IStructE or ICE Has extensive UK consultancy experience Demonstrates strong technical expertise and leadership capability Has a proven track record of managing projects and teams Communicates effectively with clients, contractors, and multidisciplinary teams What We Offer Highly competitive salary and benefits package Clear progression pathway to Associate/Director level Flexible working arrangements Autonomy and influence within a growing office Supportive and collaborative working culture Opportunity to shape the future direction of the St Helens team This is a fantastic opportunity for a driven Principal Structural Engineer looking to step into a senior leadership role within a respected consultancy, where your expertise and ambition will be genuinely valued. We also have similar roles in Wigan and Warrington. If you are ready to make a significant impact and advance your career, we would be delighted to hear from you. Please get in touch with MIKAELA today.

verview We re supporting a leading engineering organisation in the appointment of a Principal Embedded Displays Software Engineer to lead the development of advanced Human Machine Interface (HMI) applications for next-generation embedded display systems. This is a senior, hands-on technical leadership role where you ll define architecture, drive best practice, and deliver high-quality, intuitive user interfaces using Qt. You ll also play a key role in mentoring engineers and shaping the direction of embedded display software development. Key Responsibilities Lead the design and development of HMI applications using Qt (C++ / QML) Define and own software architecture, ensuring scalability, performance, and maintainability Set and enforce coding standards and engineering best practices Provide technical leadership, mentoring, and guidance to software engineers Collaborate with hardware, UX/UI, and systems teams to ensure seamless integration Conduct code reviews and support resolution of complex technical issues Optimise application performance, reliability, and user experience Drive innovation and continuous improvement across embedded display technologies Contribute to project planning, delivery, and technical decision-making Remain hands-on while influencing technical direction across the team Key Requirements Strong experience developing HMI applications using Qt (C++ and QML) Proven experience in a senior or principal-level embedded software role Demonstrated ability to lead, mentor, or guide engineering teams Strong understanding of embedded systems and real-time software development Experience designing software architecture using object-oriented principles Excellent problem-solving skills and ability to work in fast-paced environments Desirable Experience Experience with Linux-based embedded platforms Knowledge of graphics technologies such as OpenGL Exposure to Agile development methodologies Strong stakeholder communication skills across technical and non-technical teams Degree in Computer Science, Software Engineering, or a related discipline Key Competencies Technical leadership and decision-making capability Strong communication and influencing skills Collaborative approach across multidisciplinary teams Ability to balance hands-on development with strategic oversight Continuous improvement mindset Why Apply? This is an opportunity to take a leading role in shaping cutting-edge embedded HMI solutions within a highly technical environment. You ll have real influence over architecture, team development, and product delivery, working on innovative technologies at scale.

Job Title: Principal Engineer - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, 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. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

Job Title: Principal Engineer - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, 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. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

Job Title: Principal Engineer - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, 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. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain. Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology. Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads. Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring: Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins). Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews. Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity. Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships. Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability. Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley:" Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing" Broadway "and South Ealing tube stations." There's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. 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 - Safety Engineering (Safety Requirements) Location: Weymouth, Hybrid We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable depending on experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering advanced, technology-led defence, aerospace and security solutions, 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. What you will be doing: In this role, you will lead and manage the end-to-end safety requirements process within the Dreadnought Combat Systems Safety Engineering Team. You will ensure safety requirements are accurately captured, decomposed, governed, and communicated across multiple stakeholders, supporting the delivery of complex submarine combat system sub-systems. Core duties: Manage all safety requirements flowing from whole boat into combat systems, ensuring accurate capture, traceability, and configuration control within DOORS in a complex engineering environment Lead requirements decomposition activities (including DSRs, 4SFRs and 5SFRs) following Safety Team analysis , aligned with the V lifecycle model and INCOSE systems engineering principles Maintain robust requirements governance, change control , and configuration management across the safety lifecycle Provide clear, concise, and evidence-based reporting to the Senior Engineering Manager on safety requirements status, progress, risks, and compliance Liaise with subsystem teams, suppliers, and safety engineers to ensure alignment, consistency, and effective communication of requirements Support gap analysis between formal safety requirements and supplier assumptions to ensure compliance and technical integrity Ensure safety requirements are appropriately defined, validated, and maintained using strong systems engineering practice Produce high-quality technical documentation and communicate engineering decisions effectively to stakeholders at all levels Essential Skills: Degree qualified in a STEM discipline or equivalent experience Strong understanding of safety engineering or systems engineering principles within complex engineering environments Experience with requirements management tools (e.g. DOORS) and configuration control processes Knowledge of systems engineering lifecycle and V-model development approach Ability to analyse , structure, and decompose complex technical requirements Strong communication skills with the ability to engage and influence multiple stakeholders Experience working in regulated or safety-critical environments (e.g. defence, maritime, nuclear, aerospace) The Dreadnought Combat Systems Safety Engineering Team: This team offers a unique opportunity to apply your requirements management expertise to complex submarine combat system sub-systems, working alongside experienced engineers and technical specialists across the full lifecycle of advanced defence systems. Relocation support is available for eligible Submarine roles, subject to criteria. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We welcome applications from all suitably qualified people and encourage discussion of reasonable adjustments where needed. Please be aware that many roles at BAE Systems are subject to security and export control restrictions. Applicants must meet Baseline Personnel Security Standard, and many roles require higher levels of National Security Vetting, including 5-10 years continuous UK residency depending on the role . Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. Lifelong learning, meaningful work, and a supportive culture enable you to grow with confidence . You'll be recognised for your contribution and supported with rewards that matter most to you. Closing Date: 28th April 2026 We reserve the right to close this vacancy early if we receive sufficient applications. If you are interested, please apply as early as possible.

Design Manager Location: Hackney, London Project Type: High-Rise Residential (HRB) Contract Type: Permanent / Full-Time Overview We are currently seeking an experienced Design Manager to lead the technical and design coordination for a complex High-Risk Building (HRB) residential scheme in Hackney. The ideal candidate will have substantial experience delivering multi-storey residential developments and a strong working knowledge of the Building Safety Act (BSA) , particularly its gateway process, duty holder roles, and safety case requirements. This role offers the opportunity to play a key part in shaping a major London regeneration project, working closely with internal technical teams, external consultants, and key stakeholders to ensure fully compliant and high-quality design delivery. Key Responsibilities: Design Coordination & Management Lead the coordination, review, and approval of architectural, structural and MEP design packages for an HRB residential project. Manage design delivery across all RIBA stages, ensuring information is fully aligned with programme and sequencing requirements. Chair design team meetings, manage design actions, and maintain clear communication between consultants, subcontractors, and companies project teams. Coordinate design information to support quality benchmarks, buildability, logistics, and sequencing of high-rise construction. Building Safety Act & HRB Compliance Ensure all design information meets the requirements of the Building Safety Act , including Gateways 2 and 3, duty holder obligations, and the Golden Thread of information. Oversee the preparation and coordination of documents needed for the Safety Case, Fire & Emergency File, digital record management, and change control procedures. Liaise with Principal Designer (CDM and BR), Building Control, Fire Engineers, and Safety Consultants to ensure regulatory compliance at every stage. Monitor and manage design risks, ensuring mitigation strategies are documented and implemented as required for HRB standards. Technical Oversight & Quality Assurance Review and sign off all technical drawings, subcontractor designs, specifications, and calculations. Ensure compliance with UK Building Regulations, Approved Documents, warranty provider requirements, planning conditions, and internal design procedures. Support the development and maintenance of the Design Delivery Programme (DDP) in line with the overall project programme. Manage technical queries and RFIs from site, ensuring timely resolution. Stakeholder Engagement Collaborate with internal teams (Construction, Commercial, Planning, and Quality) to ensure seamless project delivery. Liaise with local authorities, planners, utilities providers, and statutory bodies throughout the design process. Maintain strong working relationships with consultants, subcontractors, and client representatives, ensuring transparent and collaborative engagement. Project Delivery Support Provide design leadership during procurement, supporting subcontractor tender reviews, technical assessments, and contract scope preparation. Coordinate the release of construction information, ensuring the site team is working to the most current design packages. Support design responses for client meetings, progress reporting, and technical presentations. Experience & Skills Required Essential Proven experience working as a Design Manager (or Senior Design Coordinator ready to step up) for a main contractor or developer delivering HRB residential projects. Strong working knowledge of the Building Safety Act , including Gateways and the Golden Thread . Experience of coordinating multidisciplinary design teams on medium to high-rise residential schemes. Ability to interpret complex drawings and technical details across architecture, structures, MEP, and fire engineering. Excellent understanding of construction methodology, façade systems, fire compliance, and building regulations. Strong communication, problem-solving and organisational skills. Desirable Experience working on London based regeneration or mixed-use developments. Knowledge of digital information management systems (e.g., ACC, Asite, Viewpoint). Relevant professional membership (RIBA, CIAT, CIOB, or Similar).

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.

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.

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.

The Role This is an exciting opportunity for a Senior Data Scientist to join The Alan Turing Institute s Defence & Security programme, working within the Electromagnetic Environment team to apply cutting-edge AI and data science to complex real-world challenges in the radio frequency domain. The role combines hands-on technical research with project leadership, involving the development and testing of advanced machine learning approaches, proof-of-concept solutions, and technical investigations that help defence and security partners better understand and exploit the electromagnetic environment. Working closely with researchers, engineers and external stakeholders, the postholder will lead and support exploratory projects, communicate findings through reports and presentations, and help shape future research in an agile, collaborative and mission-driven setting. Your Profile We re looking for a technically strong data scientist with deep experience in machine learning, AI or radio frequency signal analysis and a track record of applying advanced research to complex real-world problems. The ideal candidate will bring strong programming capability, ideally in Python, experience leading technical or research projects and the ability to work closely with stakeholders to shape problem definitions and deliver practical, high-quality outputs. They will be a confident communicator who can explain specialist ideas clearly, support and guide more junior colleagues and thrive in a collaborative, experimental environment that values autonomy, rigorous thinking and continuous learning. A background in areas such as physics, engineering, mathematics, radar, communications, or data science would be particularly valuable, along with eligibility to obtain UK SC clearance. How You'll Make an Impact Engage with scientists from the EME s Defence and Security partners to learn their aims and requirements and understand and identify problems they face. Apply state-of-the-art Machine Learning, Data Science, and radio frequency techniques emerging from the Institute, broader academia and industry to problems faced by EME partners, both as part of unclassified EME projects and on partner systems. Perform rigorous investigations into new algorithms and applications, providing consultancy to inform our Partners decisions and developing high-quality proof-of-concept outputs which can be deployed in real-world situations. Design and carry out rigorous experimentation and development with some guidance from Principal staff, both alone and in small teams, coaching junior team members and guiding collaborations to success. Present, disseminate and explain our work via presentations, reports and workshops. Provide technical project management and leadership for research projects, ensuring successful outcomes; Liaise with clients and colleagues to understand and prioritise project goals, balancing client value with research outputs. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with colleagues, authoring research proposals and agreeing involvement for the group in activities across the institute. Application Procedure If you are interested in this opportunity, please click the apply button below. You will need to register on the applicant portal and complete the application form including your CV and covering letter. If you have questions about the role or would like to apply using a different format, please contact us on or email . CLOSING DATE FOR APPLICATIONS: THURSDAY 30 APRIL AT 23:59 (LONDON, UK BST) We reserve the right to close this vacancy early or to interview suitable candidates before the closing date if enough applications are received. Terms and Conditions This full-time post is offered on a fixed-term basis for 3 years. The annual salary is £54,612-£62,381 plus excellent benefits, including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute The Alan Turing Institute is based at the British Library, in the heart of London s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview. Security Clearance Must be eligible to hold a UK SC clearance and secure SC clearance within 6 months of the commencement of their employment, or in such longer period as the Institute may in its absolute discretion consider reasonable to obtain such clearance. Successful applicants will be subject to a Dstl research workers check at offer stage. Equality, Diversity and Inclusion We value diversity of background, experience, and perspective, and are proud to be an inclusive employer. We warmly encourage applications from all backgrounds, particularly from groups currently under-represented in our sector. If you feel passionate about this role but don t meet every single requirement, please apply - we recognise that great candidates may bring strengths beyond the criteria listed. We are committed to making sure our recruitment process is accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to tell us how we can assist you.

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.

Principal Full Stack Software Engineer Location: Hybrid - 1-2 days a week Salary: (Apply online only)k + 10% Bonus Type: Permanent No Sponsorship Available Overview: We are seeking a Principal Full Stack Software Engineer to lead the design, development, and delivery of scalable, high-performance applications across a modern cloud-based architecture. This is a senior, hands-on leadership role where you will shape technical direction, influence engineering standards, and drive best practice across the full software development lifecycle. You will work closely with product, architecture, and leadership teams to deliver robust, user-centric solutions while mentoring engineers and fostering a high-performing engineering culture. Key Responsibilities: Lead end-to-end design and development of full stack applications across frontend and backend systems Define and drive engineering best practices, coding standards, and architectural principles Act as a technical authority across multiple teams, guiding complex solution design and delivery Build scalable, secure, and high-performing systems using modern frameworks and cloud technologies Collaborate with Product Owners and stakeholders to translate business requirements into technical solutions Mentor and coach engineers, supporting career development and technical growth Drive adoption of DevOps practices, CI/CD pipelines, and automated testing frameworks Contribute to strategic technology decisions and long-term roadmap planning Ensure high levels of system reliability, performance, and security Required Skills & Experience: Extensive experience as a Full Stack Engineer with a strong track record in senior or principal-level roles Expertise in JavaScript/TypeScript and modern frontend frameworks (e.g., React, Angular, or Vue) Strong backend development experience (e.g., Node.js, Java, Python, or Go) Proven experience designing and building scalable, distributed systems Strong experience with REST APIs, microservices architecture, and event-driven systems Cloud experience with Azure with knowledge of serverless and containerised architectures Solid understanding of DevOps practices, CI/CD, and infrastructure as code Experience working in Agile environments and leading technical delivery Strong stakeholder engagement and communication skills Desirable Experience: Knowledge of data engineering or real-time data processing pipelines Exposure to system design at enterprise scale Experience working in regulated environments such as financial services Benefits: Competitive base salary and performance bonus Flexible hybrid working model Private healthcare and enhanced pension 25 days annual leave + additional benefits Learning and development budget Opportunity to shape engineering strategy within a growing organisation