Research Engineer

🔥 30 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Oxford Dynamics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2020

🎖️ Defense

🤖 Artificial Intelligence

🔧 Hardware

🔥 Funding within the last year

💰 Corporate round on 2025-09

Defense • Artificial Intelligence • Hardware

Oxford Dynamics is a UK-based defence technology company building AI-enabled systems and autonomous platforms for tactical intelligence and hazardous operations. Its flagship AVIS multi-agent AI engine analyses multi-modal sensor data, mirrors operator reasoning, and provides explainable insights. Oxford Dynamics develops SR-1, an airborne intelligence system that fuses EO/IR, RF, LiDAR, RADAR and other sensors for passive scouting and AI-directed investigation, and STRIDER, an autonomous ground robot for hazardous environments and frontline operations. The company is positioned to serve military and defence customers (including selection for UK MoD frameworks) and emphasizes deployable, explainable AI at the tactical edge.

📋 Description

• 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. • Help shape OD’s research and product vision, bringing a clear point of view on where the field is heading and what OD should build next.

🎯 Requirements

• A PhD in AI, machine learning or a closely related field, or holding a current postdoctoral research position in Machine Learning. • Strong grounding in Machine Learning and reinforcement learning, including RLHF. • Hands-on experience with multi-objective policy optimisation. • Solid knowledge of transformer architectures and LLM post-training (fine-tuning, alignment, reward modelling). • Publications at top-tier AI conferences such as ICML, ICLR, NeurIPS, CVPR, etc. • Experience using HPCs and CUDA for training large-scale models. • The ability to translate research into a product vision and carry it through to delivery. • Nice to have: computer vision experience, open-source contributions, or applied research that shipped into a product. • Commercial thinking: an instinct for connecting research effort to product value and customer impact, rather than research for its own sake. • Communication and client-facing skills: able to explain complex ideas clearly to both technical and non-technical audiences, including customers. • Calm, judgement-led decision making, and comfort operating in ambiguity with fast-moving priorities.

🏖️ Benefits

• *Oxford Dynamics is committed to creating an inclusive team experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or parental status, we believe our work is at its best when everyone feels free to be their authentic self.*