3 jobs found

AI Research Engineer (phone number removed) Hybrid working, flexibility to travel REED Technology are working with a client seeking an exceptional AI Research Engineer to take on a pivotal role in shaping the future of Artificial Intelligence in the UK. This position is at the heart of a national initiative, working not only with academic but also with commercial organisations and research bodies, to harness the power of the largest AI machines in the country. This is a varied and high-impact role, with responsibilities spanning: Hands-on technical work - designing, developing, and optimising AI workflows and machine learning systems. Outreach & collaboration - running seminars, training sessions, and engaging with academic, public sector, and commercial stakeholders. Leadership - guiding a small specialist team of engineers (though this is a smaller element of the role compared to technical delivery). You will be at the forefront of delivering services and solutions that enable world-leading researchers and organisations to exploit cutting-edge AI at scale. Key Responsibilities Lead technical development on AI workflows, optimisation, and large language models (LLMs). Collaborate with researchers, industry partners, and non-technical stakeholders to understand needs and deliver effective AI solutions. Provide outreach and training, helping users across the UK to make the most of advanced AI resources. Play a hands-on role in coding, testing, and optimising AI applications in high-performance computing environments. Contribute to the design and delivery of strategic roadmaps for AI research infrastructure. Support and mentor a team of software engineers, ensuring high standards of technical excellence. This role is ideal for someone who has worked solidly in AI and machine learning and is now looking to apply their expertise on a national stage. Essential experience and skills: Strong track record in AI/ML development and workflows. Proven ability to design and optimise workflows for large-scale systems. Solid hands-on coding experience (C/C++, Fortran, or similar) with complex, scalable systems. Experience with HPC environments and parallelisation techniques (MPI, OpenMP). Excellent communication skills, with the ability to work confidently with technical and non-technical audiences. Experience engaging with a range of stakeholders, from academic researchers to commercial partners. Desirable experience: Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL). Familiarity with LLMs and their applications. Experience delivering training, seminars, or public engagement activities. What's on Offer Permanent role with excellent opportunities to shape the future of UK AI research and innovation. Hybrid working policy (1/2days a month to various sites) The chance to work with the largest AI machines in the UK and contribute to projects with national and international impact. The successful candidate will be required to undergo a Disclosure and Barring Service (DBS) check as part of the pre-employment service. Applicants must also have full rights to work in the UK ; visa sponsorship is not available for this position. If you are interested in this role and have relevant experience, please apply using the link provided.

Shape the Future of AI-Ready Research Computing Position: DevOps Engineer (Research Computing & AI) Location: London Department: Advanced Research Computing & AI Order of skills/experience for the role: Linux/Window system administrator AWS cloud computing/Azure/GCP Python/R/Matlab/data analysis A unique opportunity awaits to join a newly established AI and research computing division at one of the world's most prestigious institutions. This is your chance to help build the digital backbone of cutting-edge social science research, enabling breakthroughs in economics, behavioural science, political analysis, and beyond. About the Role As a DevOps Engineer , you'll be instrumental in designing and maintaining scalable, secure, and reproducible research computing environments. You'll empower researchers to harness the full potential of high-performance computing (HPC), cloud platforms, and AI-ready infrastructures-driving innovation across disciplines. This role blends technical expertise with strategic vision, supporting everything from big data analysis and machine learning to qualitative research and open science initiatives. You'll collaborate with world-class academics, IT professionals, and external partners to deliver environments that are not only powerful but also ethical, compliant, and future-proof. What You'll Be Doing Build and optimise research environments tailored to diverse computational needs-from econometrics to NLP. Integrate AI/ML frameworks and containerisation tools to enhance reproducibility and scalability. Streamline workflows with automation, job scheduling, and CI/CD pipelines. Champion secure, federated access for collaborative research across institutions. Deploy hybrid cloud solutions to balance performance, flexibility, and cost-efficiency. Deliver expert support and training to elevate researchers' technical capabilities. Embed responsible research practices, including FAIR principles, GDPR compliance, and AI ethics. Drive continuous improvement by evaluating emerging technologies and fostering innovation. Why This Role Stands Out Foundational Impact : Be part of a pioneering team shaping the future of AI-driven research infrastructure. Prestige & Purpose : Work within a globally respected institution known for academic excellence and societal impact. Innovation Culture : Collaborate with leading researchers and technologists on transformative projects. Growth & Influence : Play a key role in developing systems that support interdisciplinary, data-intensive research. Who We're Looking For You're a technically skilled, forward-thinking problem solver with a passion for research computing and AI. You understand the needs of academic researchers and know how to translate those into robust, scalable digital environments. Experience with HPC, cloud platforms (AWS, Azure, GCP), containerisation (Docker, Singularity), and research software tools (MATLAB, R, Python, TensorFlow, NVivo) is essential. Familiarity with data governance, reproducibility frameworks, and AI ethics is highly desirable.

Join the Frontier of AI-Driven Research Infrastructure! Position: Research Hardware Specialist Location: London Department: Advanced Research Computing & AI The order of skillset/desirability for a candidate for this role is as follows: Linux System Administration (any flavour) Cluster computing/Slurm GPU/CUDA Cloud computing A rare opportunity has emerged to become a founding member of a newly established AI and high-performance computing (HPC) division at one of the world's most prestigious institutions. This is your chance to shape the future of computational research in the social sciences, driving innovation at the intersection of hardware engineering and artificial intelligence. About the Role As a Research Hardware Specialist , you'll be at the heart of a transformative initiative to build and maintain cutting-edge HPC infrastructure that empowers researchers to tackle some of the most complex challenges in economics, behavioural science, and computational sociology. You'll design and optimise high-performance systems-from GPU-accelerated clusters to AI-ready architectures-ensuring scalability, security, and future-readiness. Your work will directly enable groundbreaking research in machine learning, agent-based modelling, and large-scale simulations. What You'll Do Architect and manage HPC clusters tailored to data-intensive social science research. Integrate GPU acceleration and AI-optimised hardware for deep learning and advanced analytics. Collaborate with researchers to deliver bespoke computing solutions that elevate research productivity. Lead the evolution of hybrid cloud/on-prem HPC environments. Ensure robust security and compliance across all infrastructure. Deliver expert-level support and training to empower researchers with cutting-edge tools. Champion sustainability and innovation through energy-efficient upgrades and vendor partnerships. Why This Role Is Exceptional Pioneering Impact : Be part of a newly formed department focused on AI and computational excellence. Prestige & Purpose : Work within a globally respected institution known for shaping thought leadership and policy. Innovation-Driven Culture : Collaborate with world-class researchers and technologists on projects that push boundaries. Career Acceleration : Gain exposure to emerging technologies and strategic infrastructure planning at scale. Ideal Candidate You're a forward-thinking technologist with a passion for research computing and AI. You thrive in collaborative environments, love solving complex problems, and are excited by the opportunity to build something truly transformative from the ground up.