7,226 to 7,250 of 9,416 Software Engineering Jobs in the UK

simultaneous projects across 50+ countries as part of our multi-million-pound IT modernisation programme. Project Variety: Lead end-to-end delivery across custom software engineering, digital transformation, cloud infrastructure rollouts, and advanced data platforms. High Visibility & Autonomy: Work directly with multi-disciplinary technical teams (BAs, Developers, Testers … Alfred H Knight you will need to display the following: REQUIRED KNOWLEDGE AND WORK EXPERIENCE Essential Proven experience managing multiple simultaneous IT projects across software development, IT infrastructure, and system implementations. Strong understanding of the full project lifecycle, incorporating project management frameworks, documentation standards, and risk management best practices. ...

much more. The Embedded Linux Engineer will ideally bring the following: A minimum of a 2.1 Bachelors/Masters Degree in Computer Science, Software Engineering, Electronics or similar. Embedded Linux development including device trees, user-space/kernel-space, and SoC platforms. Experience of Yocto. Real-Time Embedded ...

recently closed our Series C funding of $160 million. We bring together the brightest quantum engineers, integrated circuit (IC) engineers, quantum computing theoreticians and software engineers to create a unique, world‐leading team, working together closely to maximise our combined expertise. Our collaborative and interdisciplinary culture is an ideal … scale. Analyse measurement datasets to provide insights to device modelling, design, fabrication, and architecture teams. Experience - Essentials A PhD degree in physics or engineering Experience with the dynamical characterisation of semiconductor‐based nanoelectronic devices Ability to independently design and carry out complex experiments; perform data analysis and preparation ...

optimisation systems that directly drive business performance across the airline industry. You'll work at the intersection of data science, business strategy, and software engineering—developing algorithms that impact real commercial decisions every single day. Our Revenue Management and Commercial Data Science chapter is responsible for powering pricing … Preferred Experience: Background in pricing, forecasting or optimisation roles within airlines, hospitality, car rentals, e-commerce, or similar dynamic pricing industries Familiarity with data engineering concepts (pipelines, data quality, testing, sampling) Who You Are: Commercially minded with genuine curiosity about business problems, not just algorithms Comfortable working ...

improve digital services. The role combines hands-on analysis, stakeholder influence and mentoring of analysts.You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients and end users. Key responsibilities Lead the development of performance measurement frameworks across ...

Partner with the Deployment Strategist in your pod to translate customer business challenges into agentic solutions that actually ship. You have 3+ years of software engineering or technical delivery experience, with at least one production system you'd be proud to walk us through - ideally … have a degree in Computer Science or a related field You have prior customer-facing technical delivery experience (consulting, professional services, or forward deployed engineering) — this is a requirement, not a nice-to-have. You've been hands‐on with LLMs and prompt engineering. You can explain ...

service teams Bridge Business and Technology Teams - You’ll convert business requirements into detailed user stories, functional specifications, and acceptance criteria that Product, Engineering, and CRM specialists can confidently deliver against Manage Stakeholder Relationships - You’ll build strong relationships across the organisation, ensuring priorities are understood, progress is communicated … Cloud, or similar customer support technologies Industry Experience - Experience within EV, energy, technology, SaaS, or other regulated and technical sectors Working with Product and Engineering Teams - Previous experience partnering closely with software engineering, product delivery, or technical implementation teams Business Analysis Frameworks - Familiarity with business analysis methodologies ...

highly proactive, hands‐on approach to meet the dynamic needs of our innovation trials, managing intricate technical dependencies and collaborating closely with our software development and science teams. Your focus will be on prioritising workloads and managing deliverables to ensure these projects are delivered on time whilst minimising … impact Scope and drive delivery for experimental, first-of-a-kind innovation projects and Proof of Concepts. Provide hands‐on prototyping support, including some software development moving beyond traditional project management to assist with technical implementation. Manage complex technical dependencies and logistics to enable rapid iteration during innovation trials. ...

selecting research problems, creating evaluations and training data, post‐training and harnessing Inherent’s models, building interfaces to infrastructure for scientific experiments (e.g., scientific software, simulators, cloud labs), driving experimental iteration on agent behaviour, and collaborating with external scientists to validate and deploy our systems. You will work closely … real‐world datasets. Demonstrated track record of success in research, whether papers, product releases, open‐source contributions, or other artifacts. 3+ years of software engineering experience, including familiarity with Python and at least one deep learning framework. Experience using the latest coding agents, and opinions about optimal workflow. ...

grasp of financial and regulatory concepts, and can eventually represent the product directly to clients. You don't need a background in finance or software engineering - you need to be genuinely comfortable digging into data and translating complexity into something clear. RESPONSIBILITIES: Data-Driven Ownership: Write and troubleshoot … product integrity. Regulatory Translation: Read and interpret sanctions legislation and regulatory text, and translate it into structured, logical criteria (inclusion/exclusion rules) that engineering can build against. Product Execution: Support existing products and drive the planning and development of new features. Client & Stakeholder Communication: Clearly communicate project progress ...

platforms and feed findings back into roadmap decisions Stay current with advances in inference, model serving, and accelerator technology What you'll need Strong software engineering fundamentals and a solid production track record Proficient in Python and at least one systems language - Rust, C++, or Go Hands ...

21st century will be marked by the engine of inference delivering immense and diffuse chains of intellectual inquiry, in drug discovery, in software engineering, in materials discovery, in any field where progress is driven by deep reasoning and intelligence to resolve complex problems. Requirements Strong datapath microarchitecture background … work forward Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact Optimistic and pragmatic: we possess the will ...

senior technical voice in architecture discussions and platform roadmap planning What you will bring to the role: A bachelor's degree in Computer Science, Software Engineering, or Information Technology Senior-level experience operating production-grade, stateful distributed systems Strong hands-on experience with Kafka, RabbitMQ, Redis, and Elasticsearch … networking, and storage fundamentals Deep experience with Infrastructure-as-Code (Terraform preferred) Experience with GitOps workflows and declarative infrastructure management Solid grasp of reliability engineering concepts (SLOs, error budgets, alerting, capacity planning) Experience working with Kubernetes-adjacent platforms and services Ability to operate independently and take ownership ...

help build and refine the evidence synthesis engine, while leading quantitative analyses and evaluations of its performance. This is not a lead-developer role: software architecture and development is led separately by the project's software engineering team. You will be supported to develop your research profile … deadlines Desirable criteria Experience or interest in evidence synthesis methods (e.g. systematic reviews, evidence mapping, meta-analysis) or related research methodology Experience of collaborative software development practices (e.g. version control, testing, code review) and/or contributing to shared codebases Knowledge of, or interest in, climate change and health ...

This Cambridge technology company are growing their core engineering team; a half dozen senior engineers who collaborate closely on new projects. As a skilled Senior RTL Engineer with FPGA experience, you'd be working alongside peers with similar skills, as well as developers working in C++ and Rust. These … architectural considerations matter. Proficiency with Intel Quartus, AMD Vivado or comparable design tools. A collaborative approach, including experience working with firmware and/or software engineers, and ideally DevOps engineers. You will also need to be in commute distance of Cambridge, UK (or able to relocate), and have full ...

analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance … areas: Strong experience in machine learning and advanced analytics. Advanced Python skills for data processing and model development. Proven experience working with Databricks. Solid software engineering practices, including version control, testing and deployment. The following would be highly valued but are not essential: Background in financial services ...

looking for an experienced and highly-driven expert in quant trading and market making to lead and grow a team of quant researchers and software engineers. On a day-to-day basis your responsibilities will include: Lead the implementation of large-scale market-making and cross-asset risk management … model to identify and create relevant risk factors and construct systematic equity portfolios Quant Analysts Must Ideally Have: PhD Comp Sci, Maths, Stats or Engineering Quant experience of systematic trading (market making/hedging & electronic execution) Extensive experience with market-making algorithms and automated trading systems Deep understanding ...

external results and publishing novel findings within one of the Domains. We seek an team member with a strong foundation in artificial intelligence and software engineering, who has made significant contributions to open source projects and/or led the development and maintenance of AI systems vital ...

where few actuators must produce adaptive, compliant grasping across many degrees of freedom. The ideal candidate has a solid background in control theory , strong software engineering skills in C++ , and comfort working from real-time embedded control up through kinematics/dynamics and hardware debugging. You will work … deployment teams so end-effectors work reliably in real use. What We're Looking For Shipped real-time-safe, object-oriented C++ control software running on real hardware. Tuned and validated controllers on physical actuators, including sensor calibration and bring-up. Modelled, identified and controlled through real mechanical transmissions ...

awesome products and technology! Key Responsibilities: End-to-end testing of the core platform, including automation and smoke testingCollaborating closely with design, product, and software engineering teammatesCreating and continuously developing the test strategy with a focus on automationTesting both frontend web apps and backend APIsKey Requirements: Expert knowledge ...

application development and information science across R&D. The role leads clinical data scientists and AI-programming experts across statistical programming, clinical data, data engineering, ML, LLM-enabled analytics and application development, partnering across R&D, IT, Digital/Data/Analytics/AI and external providers to turn … storytelling to make the message easy to digest and connect with the outcomes Demonstrates gravitas Translates complex AI, ML, LLM, application development and data engineering concepts into clear, actionable messages for study teams, senior leaders, IT and external partners. HOW - Knowledge & Experience Knowledge & Experience (essential): 10+ years of relevant ...

helpful: Experience of writing joint bid responses with partner organisations Knowledge of digital transformation, user-centred design, agile delivery, cloud, data, AI, and software engineering services As well as bid management experience, there are essential core skills you'll need to excel in this role: Excellent written ...

platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Next Generation Fellowship Programme (PhD) Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Start Date: 1st February 2027 - you must be available to join on this date in order to participate in the induction … Points For Knowledge of technologies used within financial services, including cloud computing, AI (including Generative AI and Agentic AI), machine learning, blockchain or modern software engineering. Awareness of financial services trends such as digital banking, fintech innovation, payments, sustainability, digital assets or emerging lending models. Programming or software ...

measures of success. Business, functional and non-functional requirements are translated into structured inputs that can be understood and acted upon by research and engineering teams. Current and future-state business processes are analysed to identify where AI capabilities could deliver measurable value. Benefits, assumptions, dependencies, constraints and risks … learning concepts and an interest in developing knowledge of emerging AI technologies. (The role does not require hands-on model development, data science or software engineering experience.) Why Join Us? We're all about helping you grow, with plenty of support to develop in your current role whilst ...

simulation or data assimilationYou have experience of developing ML models for remote sensing, Earth observation, geospatial data or other scientific datasetsYou have strong Python software engineering skills with a focus on reproducible, production quality researchYou have experience with uncertainty quantification, model validation and explainable AIYou’re comfortable leading ...