Research Engineer
Oxford Dynamics
| Company | Oxford Dynamics |
| Category | Engineering |
| Location | Oxford |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 14 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (workable) |
Description
Role: Research Engineer Salary: Competitive Contract: Perm Location: Oxford A note from the founders Oxford Dynamics is at an inflection point. We operate in some of the most complex and high-stakes environments in the world defence - national security, AI and robotics. The decisions we make now will define not just how fast we grow, but who we become. You will work closely with the whole team. You will be trusted with judgment calls. You will influence the business. And you will see the impact of your work every day. If you are excited by ownership, pace and purpose, and by building something that genuinely matters - we would love to hear from you. Who we are Founded in 2019, Oxford Dynamics is a fast-growing UK frontier technology company developing both digital and physical AI systems built to operate in dynamic, mission-critical environments. At the core of everything we build is AVIS™ (A Very Intelligent System), our orchestration platform: the intelligence layer that fuses multi-modal data, including text, imagery, telemetry and sensor feeds, so operators can interrogate complex information at speed and make better decisions under pressure. AVIS™ powers our digital decision products, such as ORION for multi-source decision-to-effect, and it powers our physical platforms, including STRIDER for CBRN operations and BARBARIAN for explosive ordnance disposal. The same brain reasons across the screen and the machine. We work where wrong decisions can be catastrophic, partnering with defence and security organisations internationally to help protect nations, infrastructure and lives Requirements Core Brief: You will help convert OD’s research into capabilities that ship into some of the most demanding environments in the world. The role offers a rare combination: frontier ML research, real engineering ownership, and a direct line of sight from your work to operational impact. If you want your research to leave the lab and genuinely matter, we’d love to meet you. The Role: As our Research Engineer, you will sit at the boundary between frontier machine-learning research and shipped product. You will take ideas from the research edge, reinforcement learning, RLHF, multi-objective policy optimisation and LLM post-training, and turn them into capabilities that make our platforms measurably better. This is a Research Engineer role. You will read the literature, prototype quickly, and see your work through into systems our customers depend on, while connecting that research to OD’s product vision and to what our customers actually need. The Right Fit: Your responsibilities will include, but are not limited to: · Apply and adapt machine-learning and reinforcement-learning research to OD’s product roadmap, translating research direction into shippable capability. · Design, train and evaluate models using reinforcement learning, RLHF and multi-objective policy optimization, balancing competing objectives such as accuracy, safety, latency and cost. · Work on LLM post-training: fine-tuning, alignment, reward modelling and rigorous evaluation. · Prototype fast, then work with the engineering teams to harden what works into production. · Define how frontier models can be evaluated and how decision making can be audited. · Engage directly with customers and stakeholders, explaining technical approaches to non-specialists and feeding real-world needs back into the research agenda. · &nbs