Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Research Software Engineer

University of Oxford
Oxford
8 months ago
Applications closed

Related Jobs

View all jobs

Senior ML Research Engineer - Artificial Intelligence

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer

Applied AI ML - Senior Associate - Machine Learning Engineer

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Senior Computer Vision Engineer - Robotics

MPLS Doctoral Training Centre, 1-4 Keble Road, Oxford This is an exciting opportunity to join a growing team, in a role primarily providing support to the Schmidt AI in Science Postdoctoral Fellowship programme at Oxford ( ). Oxford will host 55 postdoctoral fellows over 6 years starting from March 2023. OxRSE is providing RSE support to the fellows via software consultancy, direct development support on their research projects, and the delivery of training courses to the fellows, both those in Oxford and internationally. In addition to this, as a senior member of the OxRSE team, the post holder will be responsible for the acquisition and management of other projects, and the supervision of RSEs and Junior RSEs. Some of our past / current projects include Global.health ( ): an improved, scalable platform for disease tracking created by an international team of researchers from leading institutions such as Oxford, Harvard and the Boston Children’s hospital; PyBaMM ( ), a NUMFOCUS sponsored library for solving PDE models of batteries; and LanguageScreen ( ) a key tool for the Nuffield Early Language Intervention (NELI) programme and part of the COVID-19 catch up package offered by the Department for Education to primary schools in England. We are looking for candidates who hold a doctoral degree with a significant software development component, with post-qualification research and software engineering experience. We will also consider candidates without a doctoral degree but with substantial experience of software engineering in a research environment. You must be able to collaborate effectively with other researchers to design and implement reliable and maintainable software solutions to scientific questions and must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience in software engineering for AI and machine learning applications, and/or in high performance computing (HPC) would be desirable. This post is offered as an open-ended position subject to external funding. It is full time, but flexible options will be considered (e.g., part-time, job share).

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.