195 jobs found

Join our Weapon System team at MBDA as an Algorithm Developer, working on innovative battle-winning technology. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 4 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime:opportunity for paid overtime Flexi Leave:Up to 15 additional days Flexible working:We welcome applicants who are looking for flexible working arrangements Enhanced parental leave:offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity: As an Algorithm Developer here at MBDA, you will join a dynamic team who are integral to our advanced weapon system development. You will be part of a specialist group that uses product knowledge and system analysis to develop algorithms that ensure we're ahead of the competition within sophisticated weapon systems, using ground breaking algorithm technology such as machine-learning and artificial intelligence. You will: Design, develop and test mathematical algorithms using Matlab/Simulink and Python Interpret technical specifications and collaborate with other departments to understand how the algorithms will be used, and especially with the software team to define how they will be implemented Influence the way we develop algorithms within the team and more widely within MBDA Demonstrate a dedication to quality through progressive thinking and rigour What we're looking for from you: Any experience in the following areas would be beneficial: Mathematical analysis / modelling Numerical simulation Data Science, especially machine learning Geospatial data and/or geographical information systems Software development A numerate graduate or post-graduate qualification Ability and confidence to work with mathematics A commitment to product quality and the procedures we follow to ensure it A desire to make an impression within the MBDA engineering community Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Disability, Neurodiversity and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients.This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations. Collaborating closely with highly skilled, cross functional teams, you will work alongside engineers, architects, and product specialists to push boundaries and deliver impactful, high quality outcomes. Key responsibilities: Design, build, and maintain robust cloud platforms and CI/CD pipelines Contribute across the full software development lifecycle Provide technical leadership and input into system and architecture design Collaborate with cross functional teams to deliver scalable, reliable solutions. Write clean, well documented code and contribute to technical documentation Proactively monitor, troubleshoot, and resolve production issues Continuously improve platform performance, security, and reliability Stay current with emerging technologies and drive innovation and adoption Communicate complex technical ideas to both technical and non-technical stakeholders If you possess a combination of some of the following skills, then LET'S TALK! Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP) Hands-on expertise with services such as: Compute Engine, GKE (Kubernetes), Cloud Storage VPC networking, IAM, Cloud Functions Proven experience with Infrastructure as Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar) Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid working environment. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Archangel Lightworks is a connectivity company building wireless technology to create the space-enabled networks of the future. We're passionate about improving humanity's communications infrastructure and solving some of Earth's most critical problems from economic inclusion to climate change. Our start-up is a fast-paced and supportive environment, where you can make your mark as part of a growing team and work on the cutting-edge of innovation. To support our growth, we are looking for an experienced engineer with the practical skills and problem solving ability to develop embedded software designs. This is a hands-on technical role, developing new software and systems to support control, automation, and data developments. Responsibilities: As an Embedded Software Engineer, you will be primarily responsible for the development of embedded systems, from design through implementation and testing, to integration. You will work closely with the project and software leads, to deliver high performance communication and control systems. You will be able to take full responsibility for a design and see that through to integration on the ground station. Your responsibilities will include: Designing, developing and testing embedded software across different subsystems Supporting test automation and system integration and deployment Providing specialist skills ideally, to broaden the tests skill base (i.e. Linux, FPGA, IoT, image processing etc) Contributing to the development, integration, testing, and operations for optical ground stations Continuous improvements to software processes, including developing automated tests. Requirements: Real-Time / Embedded software development in C / C++ Development with RTOS (ideally FreeRTOS) and on Linux Working with networking (Ethernet and IP), DMA, and hardware interfacing (I2C, SPI, CAN, and EtherCAT) protocolsDeveloping for multi-core and FPGA based systems At least 4 years relevant commercial experience post-graduation Proficient use of Git version control and CI systems Python development, including test scripts. Desirable additional skills: Xilinx FPGA/MPSoC and associated tool chain (Vivado, Vitis etc) experience Satcomm protocols, Optical free-space comms, and familiarity with Space related standards (CCSDS, ECSS, SDA etc) High speed (1Gbps+) comms protocol implementation experience (forward error correction, clock recovery, zero copy etc) IoT or cloud software integration and protocols, such as MQTT Experience in FPGA development, VHDL or Verilog Yocto Linux / Petalinux or buildroot build experience Rust development experience Control systems, Matlab / Simulink, including Embedded coder / HDL code generation Managing CI/CD pipelines Systems / requirements engineering experience, including use of UML / SysML. Location: Our office is based in Osney Mead, Oxford. There will be opportunity to work from home as agreed with your line manager. Compensation & Perks: The opportunity to make a difference building cutting edge technology to support a world-changing vision Options for hybrid working and custom arrangements that matter to you 25 days annual leave allowance plus bank holidays Equity options in a growing start-up Investment in you to help you grow, with training resources and budget Supportive team culture with high levels of ownership and responsibility Annual team retreat, regular socials and weekly team lunch Variety of additional perks including learning and wellbeing app subscriptions.

Title: Software Engineering Team Leader Department: Procode IT Location: Hybrid - commutable distance of our Chandlers Ford or Oxford Office Salary: Circa £60k + Discretionary Bonus Scheme Sponsorship: Unfortunately, we are unable to offer sponsorship for this role Are you looking to combine your technical coding skills and advance your team leadership experience? Do you have experience with React, React Native or Python? If so, this could be the role for you! About us We are a leading UK technology company delivering transformative, data driven solutions for the energy sector and beyond. With two decades of experience, we help organisations unlock the power of smart data to improve efficiency, reduce cost to serve, and enhance customer experience. Trusted by millions of households and major industry partners, our innovative platforms and energy data management solutions support a smarter, more sustainable future. Our passionate team of problem solvers is committed to building technology that truly makes a difference, and our promise is to put customers at the heart of everything we do. What does this role involve? The Software Engineering Team Leader focuses on end-to-end ownership of software delivery, leading a cross-functional team responsible for building secure, scalable, and reliable solutions. It combines strong technical leadership with hands - on contribution, staying close to the code while guiding delivery across the full software lifecycle. The role involves steering engineers through complex technical decisions, promoting high engineering standards through code reviews and automation, and ensuring solutions are robust, maintainable, and well supported. You'll work across modern technologies, with experience on React, React Native, or Python helping to shape high-quality, user-focused solutions. Beyond delivery, the role supports engineers through coaching, regular feedback, and well - defined progression plans, helping to build a high performing and motivated team. Working collaboratively with other Software Engineering Team Leaders, you'll also contribute to sharing learning, strengthening engineering standards, and continuously improving ways of working. Who are we looking for ? We're looking for a Software Engineering Team Leader who enjoys taking ownership of software delivery across React, React Native or Python, while leading, developing, and motivating a cross-functional software team. You'll combine strong technical capability with a hands - on approach, staying close to the code while guiding teams through the full software lifecycle. The ideal candidate is comfortable navigating complex technical decisions, setting high engineering standards, and championing automation and quality through code reviews and best practices. A genuine interest in people leadership is essential. Supporting engineers through coaching, regular feedback, and clear progression plans comes naturally, alongside collaborating with other Team Leaders to share learning and continuously improve how engineering teams work. This role may involve on-call working on a rota basis (24/7) To be successful in this role you may be required to pass an enhanced security vetting process. B enefits - available from day one ! Bonus Scheme, made up of personal and company elements. Career progression, we're an expanding organisation . 25 days annual leave plus bank holidays. Pension scheme, company contribution at 4% of your salary when you contribute 5% . Our Chandlers Ford office offers access to a free, fully equipped onsite gym, along with showers and changing facilities . The opportunity to win tickets to major outdoor events including, gigs and shows at arenas around the UK. We offer an EV car scheme. Qualifying terms and conditions apply . A health care scheme that includes dental, eye care, treatments, and diagnostics health consultations. Death in service - we pay three times your annual salary to your designated next of kin, giving them peace of mind should you sadly pass away during service . Employee Assistance Programme with access to counselling support, legal and financial advice 24/7 365 days a year, as well as a GP line and Your Care. We also offer all our staff a paid volunteering day every year. Plus, the chance to be involved in various fund-raising opportunities. Our employees, just like our customers come from all walks of life , and we're fuelled in championing diversity, inspiring an inclusive culture, and enabling an environment where you can be your authentic self. The Luxion Group comprises of the following companies - Luxion Group Ltd, Utilita Energy Ltd, Luxion Sales Ltd, Utilita Field Services Ltd, Procode Technology Ltd and Canary Care Global Ltd.

Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.

A great energy client based in London is looking for a Full Stack Python Engineer. Fantastic benefits, bonus, training, events, cycling scheme, pension, free breakfast and much more! If you're looking for a genuinely exceptional tech environment in London, this is it. The team is highly collaborative, technically strong, and incredibly supportive - a group of talented professionals who genuinely enjoy working together. Key Responsibilities Design, develop, and maintain scalable and reliable software solutions, ensuring alignment with Principals and Architects. You must have at least 4 years Python experience Experience with Typescript and a years Javascript Key Requirements Strong expertise in Python web development frameworks (e.g., Django) and JavaScript/TypeScript, with experience working in cloud environments such as AWS, Azure, or GCP. Skilled in applying software technical design principles to build scalable, secure, and maintainable solutions within modern cloud-based architectures. Bachelor's or Master's degree in Computer Science, Engineering or equivalent experience. Experience with CI/CD tools and practices. Strong problem-solving & communication skills. Adaptability/willingness to learn (e.g., Agile). Technical leadership (mentoring, best-practice guidance). Desirable: Experience with modern frameworks and libraries (e.g., React, Node.js, Terraform, Celery). Experience with database schema design and query optimisation. Collaborate with cross-functional teams, including Product, QA, and DevOps, to deliver high-quality features. Lead code reviews and technical discussions, and contribute to architectural decisions. Lead complex coding tasks; ensure code quality. Identify and resolve performance and scalability issues. Write clean, maintainable, and well-documented code. Mentor and support junior and mid-level engineers. Stay current with emerging technologies and industry trends. Estimate work; lead delivery of features from the roadmap. Solve ambiguous problems with scalable solutions.

Job Description Quantum Computational Science Specialist Derby (Hybrid) Full Time Why join Rolls-Royce? At Rolls-Royce we are proud to be a business that has truly helped to shape the modern world and are committed to always being a force for progress; powering, protecting and connecting people everywhere. By joining Rolls-Royce, you'll have the opportunity to work on world-class solutions, supported by a culture that believes individuality is our greatest strength, and all perspectives, experiences and backgrounds help us innovate and enable our high-performance culture. An exciting opportunity has arisen for an experienced Quantum Computing Specialist to join the Future Technology team within the Rolls-Royce R&T organisation based in Derby. The role will lead Quantum Computing activities including developing applications and algorithms for Fault Tolerant Quantum Computers, hybrid quantum-classical workflows, classical circuit simulation using High Performance Computers. Application areas include Quantum Linear Equation Solvers, state and matrix loading, block encoding, measurement observables and state reconstruction including machine learning and data science. The team aims to radically transform RR Engineering methods and software, applying these to emerging novel products & services. The potential of quantum computing to disrupt the way businesses design their products will only be possible with robust engineering applications. The successful candidates will join Rolls-Royce at the outset of its journey of disruption with multiple opportunities to shape our future methods and software; and, to interact with technical experts inside and outside the Company. More information about innovation at Rolls-Royce is available via this link: (url removed) What you will be doing: In this role, you will be part of a dynamic, agile and creative team, directly reporting to the Chief of Future Methods. You will lead and support state-of-the-art research programmes with quantum computing companies, universities, and government research laboratories. You will develop quantum computational science methods as part of future multi-physics simulation capabilities, developing algorithms and codes to utilise quantum processors. Both roles will focus on error-corrected algorithms and develop practical applications that can be run in emulation in advance of using physical devices. For Quantum Linear Equation Solvers, this will build on our existing expertise in Quantum Singular Value Transformation and extend into new areas such as solving time-dependent PDEs and circuit contraction using tensor networks. We expect there to be many crossovers in the algorithms being developed and for the two roles to work closely together and with the rest of the team. Both will involve hybrid classical-quantum algorithms and the use of high-performance computers for larger test cases. This will include a propensity to influence RR to adopt these methods and support their wider commercialisation as appropriate. As such, the role offers the opportunity to work with a broad and complex stakeholder community, both internal and external. You may also take part in technology horizon scanning and identify and assess emerging computation technologies. Preferred requirements: Essential A degree in Physics, Mathematics or equivalent qualification. A sound understanding of quantum information and postgraduate experience in computational science, or a strong experience using classical linear algebra. Experience using and implementing quantum computing algorithms including development with one or more development environments; PennyLane, QuEST, or similar. Proficiency in C++ and Python Strong consultancy skills with the ability to engage effectively with domain experts, academics, start-ups and technology vendors globally. Excellent communication skills with the ability to communicate with non-quantum computing specialists including seniors within Rolls-Royce. Experience and expertise in solvers for Fault Tolerant Quantum Computers, such as Quantum Singular Value Transformation. Desirable Experience of parallel programming for high performance computing. Experience of simulation and modelling and/or machine learning for engineering. Knowledge of state loading, matrix encoding, amplitude amplification and measurement operators Azure DevOps, Cloud compute architecture, and HPC system management/deployment Experience in classical data science and machine learning Benefits will include: Retirement Savings through the Rolls-Royce Retirement Savings Trust Group Life Assurance provides for a lump sum benefit if you die whilst employed by Rolls-Royce Group Income Protection provides an income in the event that you are unable to work due to illness or injury Your Shares: Matched is a simple way to own Rolls-Royce shares and invest in our future, together. Buy one share, get one free! Digital GP provides a convenient way for you to access GP consultations Employee Assistance (EAP) and Live Well programmes Our vision is to ensure that the excellence and ingenuity that shaped our history continues into our future. Our multi-year transformation programme aims to turn Rolls-Royce into a high-performing, competitive, resilient and growing company. Join us, and it can be your future vision too. Rolls-Royce are committed to being a respectful, inclusive, and non-discriminatory workplace where individuality is valued, diverse perspectives fuel innovation, and everyone can thrive. Closing date: 19th July 2026 As part of our selection process, candidates in certain locations may be asked to complete an online assessment, which can include cognitive and behavioural aptitude testing relevant to the role. If required, full instructions for the next steps will be provided. Job Category Software Systems Posting Date 19 Jun 2026; 00:06 Posting End Date 19 Jul 2026PandoLogic.

Here at Harvey Nash my client based in Glasgow is looking to recruit a Site Reliability Engineer to join their team on a full-time basis working on a hybrid working model ( 2 days per week onsite ). You'll join a public cloud team, supporting application migrations and working across the full development lifecycle, from solution design through to production support and continuous improvement. You'll play a key role in shaping and advancing the organisation's SRE capability. The role involves leading technical design discussions, engaging with senior stakeholders, and applying software engineering, automation, and incident response best practices to ensure the reliability, availability, and scalability of critical systems and platforms. Responsibilities include: Ensure system availability, performance, and scalability through proactive monitoring and capacity planning. Investigate and resolve outages, implementing measures to prevent recurrence. Build tools and scripts to automate processes, improving efficiency and resilience. Monitor performance, identify bottlenecks, and apply optimisation best practices. Collaborate with development teams to embed reliability and scalability across the SDLC. I'm looking to speak with self-starting candidates with: Strong cloud environment experience (AWS, Azure or GCP) Solid experience in observability and monitoring tools . You should be proficient in a development language such as Python , with experience using it to automate tasks, build tools, and support infrastructure management. Terraform or Cloud Foundation . Experience with CI/CD Pipelines You should also have a strong understanding of the SDLC or a software engineering background If you would be interested in learning more then please apply with your CV for review Always use these settings

Embedded Software Tech Lead (IC Bring-Up, Pre-Tapeout Validation)Whiteley, Fareham (3 days per week onsite)£80,000 + 10% BonusThis role cannot offer Visa Sponsorship. Your new company You'll be joining the European HQ of a high-growth, innovation-led semiconductor business operating at the forefront of next-gen connectivity technology. The company is pushing technical boundaries, with significant investment into R&D and a clear vision to lead across firmware and software.The role is hybrid and you'll be required to work 3 days onsite in Whiteley. Your new role This is a hands-on Technical Lead position sitting within a specialist embedded software team, where you will take ownership of a small sub-team of engineers while remaining deeply involved in engineering delivery. You will be responsible for driving the design, development and delivery of low-level embedded software and firmware for advanced capacitive sensing products, working across the full software lifecycle from concept through to production.A key part of the role is technical ownership. This is not a position for someone who has only contributed as an individual contributor. You will bring prior experience leading projects or mentoring engineers, with accountability for delivery, technical direction and quality. While overall team allocation sits with the Software Manager, you'll be the technical authority for your sub-team, guiding architecture decisions, overseeing delivery and supporting engineers day-to-day.From a technical perspective, this is a true embedded role. You will be working close to the hardware, developing low-level software on boards in a pre-RTOS environment. Strong experience in bare metal development is essential, alongside a solid understanding of IC interaction and Digital Signal Processing concepts. The work combines firmware development in C with higher-level modelling and algorithm development using Python, giving a strong blend of low-level engineering and system-level thinking.The environment is collaborative with a strong engineering culture where people are trusted to take ownership and make a tangible impact on product direction. Despite its growth trajectory, there remains a close-knit feel across teams, with a real emphasis on knowledge sharing and continuous improvement. What you'll need to succeed You will already be operating at Senior/Lead level with 2+ years leadership experience (either mentoring others or leading projects).We are looking for Semiconductor lifecycle experience, specifically deep knowlegde of IC Bring Up / Pre-Tapeout Validation.You will bring strong experience in embedded software and firmware development using C, alongside practical experience working at a low level on embedded targets. A background in Bare Metal development is critical, as is familiarity with working directly with hardware, interfaces and ICs.You will ideally have exposure to DSP or similar signal processing concepts, alongside experience using Python or similar tools for modelling, simulation or data analysis.Beyond technical capability, you will be someone who enjoys leading from the front, able to guide engineers, make decisions and take responsibility for outcomes within a fast-moving product environment. What you'll get in return In return, you'll be joining a business where engineering excellence sits at the core of its success, offering the chance to work on genuinely cutting-edge technology in a role that blends leadership with hands-on development. The package includes a salary of up to £80,000, a 10% annual bonus, private healthcare and a strong range of wellbeing support. The working environment is collaborative and engaging, with modern offices and flexible working hours available. What you need to do now To find out more or to be considered, please apply directly or get in touch for a confidential discussion with Max Wilcock, Senior Business Director, .At Hays Technology, we're shaping the future of recruitment. As demand for specialist engineering talent continues to grow, we work closely with organisations and individuals to create opportunities where people can make a real impact. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: To design and implement application and software solutions for underwater robotics applications in line with Saab Seaeye's business needs through innovation, creativity and professionalism. You will be tasked with designing and developing software for the next generation of underwater vehicles as well as supporting and developing on existing codebase and products. Qualifications and Skills: A Degree in a relevant Engineering Discipline or Software Engineering Qualification with industry experience Strong C++ with demonstrable skills and knowledge of at least C+. Familiarity in development of control software Solid understanding of software design and architecture Backend server design/structure Familiar with Standard Web Technologies Exposure to front end - Able to construct functional web pages Software skills in Javascript, Python, XML, JSON, HTML or CSS on both Windows and Linux. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Important: All applicants must be able to obtain Security Clearance and must hold British Nationality as their primary nationality. Dual Nationals can be considered. Working: The role offers flexible working but does require engineers on site for 4 days per week and is a on secure site where SC clearance is needed. Join a business at the forefront of innovation, with a lot to offer! A company backed by a record multi-year order book, offering long-term stability and sustained investment, with years of secured work ahead! We're looking for an Algorithm Developer to join a highly collaborative engineering environment working on complex, real-world systems. This is a fantastic opportunity to be part of a specialist team focused on developing advanced algorithms that sit at the heart of cutting-edge technology. You'll work on challenging problems, applying mathematical modelling, data science, and modern techniques such as machine learning and AI to deliver innovative, high-performance solutions. This role offers plenty of scope to shape ideas, influence technical direction, and make a real impact. The Company: Invested in your growth - strong development, clear progression, and continuous learning. Global leader - cutting-edge defence innovation with an outstanding culture. Award-winning employer - Sunday Times Best Places to Work 2024 , Most Loved Organisation . People-first - Investors in People Gold & Wellbeing Platinum. Inclusive & supportive - 10+ employee networks and strong ED&I focus. Forces-friendly - top UK employer for veterans, Armed Forces Covenant Gold. Innovative & growing - work on advanced, international programmes. Flexible & rewarding - great benefits and flexible working. What You'll Be Doing: Designing, developing, and testing mathematical algorithms using tools such as MATLAB/Simulink and Python Interpreting technical requirements and translating them into effective algorithmic solutions Collaborating closely with multidisciplinary teams, including software engineers, to ensure seamless implementation Contributing to best practices and influencing how algorithms are developed across the wider team Applying a rigorous, quality-focused approach to problem-solving and development Essential Skills & Experience: Mathematical modelling, analysis, or problem-solving Numerical simulation or data analysis Data science, including machine learning techniques Software development (ideally Python or similar) A degree (or equivalent) in a numerate discipline such as Mathematics, Physics, Engineering, or similar Confidence working with mathematical concepts and applying them to real problems A strong attention to detail and commitment to producing high-quality work A proactive mindset with the drive to make an impact and contribute ideas Desirable Experience: Experience in the Defence / Aerospace or safety regulated environment would be advantageous. Geospatial data or geographic information systems (GIS) Even If you feel like you don't meet every requirement, we encourage you to reach out and apply.

Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.

Software Engineer / Test Specialist (SDET, Safety Critical) Oxford (Hybrid, 2 days onsite per week) Highly competitive salary, open and negotiable About the Role We are looking for a Software Engineer / Test Specialist with strong experience in safety critical systems, focused on DO-178C and Verification and Validation (V&V). This is an opportunity to join an extremely well funded and well backed startup with a clear ambition to become a leading technology player in its field. The organisation is building next generation, AI led software systems where safety, reliability and certification are critical to success. You will play a key role in ensuring that advanced, AI-enabled software meets rigorous safety standards, combining traditional SDET responsibilities with deep involvement in safety assurance and certification activities. Key Responsibilities Lead and support V&V activities aligned with DO-178C objectives Develop and execute test strategies, test plans and certification artefacts Validate and assure AI driven and software intensive systems within safety critical frameworks Design and implement automated and manual testing approaches for complex, high integrity software Produce and review compliance documentation such as Software Verification Plans, test cases and verification reports Work closely with software, systems and AI/ML teams to ensure certification readiness Carry out requirements based testing and maintain full traceability using tools such as DOORS or Polarion Support regulatory audits and certification processes across safety critical programmes Identify defects, risks and non compliance issues and drive resolution Essential Experience Strong experience working in DO-178C or DO-178B environments Solid understanding of V&V processes within safety critical systems Background as an SDET, Software Test Engineer or Verification Engineer in regulated industries such as aerospace, defence, automotive or rail Experience testing complex software systems, ideally including AI or data driven components Hands on experience with test automation using Python, C, C++ or similar Experience with requirements traceability tools and test management systems Knowledge of software lifecycle processes in certified environments Desirable Skills Experience with assurance or testing of AI or machine learning based systems in regulated environments Experience across different Design Assurance Levels (DAL A to E) Exposure to model based development such as Simulink Experience with embedded systems or hardware in the loop testing Awareness of additional safety standards such as ARP4754A, ISO 26262 or IEC 61508 Working Arrangement Hybrid working with a minimum of 2 days per week onsite in Oxford. Flexible working options available. Why Join Work on genuinely safety critical, AI enabled systems with real world impact Join a highly ambitious startup with strong funding and backing Be part of a team aiming to become a leading technology player in its field Competitive and flexible salary depending on experience INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

Job Title: Lead Site Reliability Engineer (SRE) - Observability Location: Reading, UK / Hybrid & Remote Options About the Role We are looking for a Lead SRE to design, scale, and operate massive-scale observability systems that keep our global services online and performant. You will join an autonomous team of software engineers focused on solving complex data infrastructure challenges. Key Responsibilities Scale Prometheus metrics infrastructure to handle 100+ million active series . Operate large Elasticsearch clusters holding 2000+TB of data . Grow high-throughput Kafka data pipelines processing hundreds of thousands of events per second. Build custom alerting workflows and self-service APIs for internal engineering teams. Provision cloud and private infrastructure using Terraform . Requirements 5+ years operating mid-to-large distributed systems on Linux VMs or bare-metal machines. 2+ years developing in Go, Python, Ruby, Scala, or Bash. Hands-on experience with Prometheus/Thanos/Cortex, Kafka, the ELK stack, Ansible, or Consul . Comfortable diving into unfamiliar codebases and participating in an on-call rotation. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and looking to hire a Senior Software Engineer with experience of working on the development of cloud databases. The business processes large-scale market data and delivers historical datasets and analytics products to institutional clients globally. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 6+ years of experience in software engineering, with proficiency programming in Python on Linux. Experience working with AWS and Docker. Experience with Databricks and/or Snowflake Desired, but not essential: Experience with C/C++ or Java Knowledge of database optimisation and administration

Software Engineer Location: London, UK Working Environment: Hybrid (2 days on-site per week) The company is a leading financial data and analytics company and they are looking to hire a Software Engineer into one of their data distribution engineering teams. This role focuses on building and maintaining systems that efficiently distribute data to customers across multiple delivery methods. You will contribute to the design, development, automation, and reliability of data infrastructure and workflows, whilst working in close collaboration with product and operations teams. Key Responsibilities Design, analysis and implementation of features in the data distribution platform. Ensure system reliability by implementing company and industry best practices. Implement workflow management software to automate operational tasks and optimize the utilisation of infrastructure and applications. Design and implement CI/CD workflows to maintain software quality via continuous and automated deployment and testing. Evaluate and adopt relevant technologies and tools Key Requirements Degree in computer science or other STEM degree plus relevant programming experience. 2+ years of experience in software engineering, with proficiency programming in Python on Linux. Exposure to / experience working with cloud and containerisation technologies (AWS & Docker preferred) Desired, but not essential: Exposure to / experience working with Databricks and/or Snowflake