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# Senior Machine Learning Engineer

- **Company:** Oxa
- **Location:** Oxford, UK (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, C++ (Programming Language), Cloud Computing, Machine Learning, Motion Planning, Software Engineering, Reinforcement Learning, Google Cloud, Model Validation
- **Published:** September 9, 2026
- **Apply:** https://www.collegerecruiter.com/job/2854918333-senior-machine-learning-engineer

## About the Role

* Machine Learning skills for motion planning and behaviour learning.
 * A strong understanding of Behaviour Cloning and/or Reinforcement Learning or similar ML techniques.Experience with Machine Learning in a research environment.
 * Demonstrate proficiency in Python software development skills.
 * Strong analytical skills with a structured approach to experiment tracking, model evaluation, and metrics definitions.
 * Ability to communicate your technical ideas and experimental results with colleagues.
 * An ability to understand both technical and commercial requirements.
 * Familiarity with cloud platforms, preferably Google Cloud Platform (GCP)
 * Experience with MLOpsExperience working with driving simulators, autonomous driving software, or traffic modellingFamiliarity with C or C++

## Description

* Researching, developing, and deploying state-of-the-art machine learning models for autonomous vehicle trajectory planning, specifically utilizing Machine Learning techniques such as Behaviour Cloning (BC) and Reinforcement Learning (RL).
 * Designing and scaling end-to-end pipelines for large-scale model training, ensuring efficient distributed training performance across simulation and real-world datasets.Applying strong experiment and data analysis skills to rigorously evaluate model performance, turn results into actionable items, and communicate findings with your team.
 * Develop simulation-in-the-loop training and evaluation environments, defining rigorous safety/comfort metrics and test scenarios for planning performance analysis.Keeping up with the latest advances in imitation learning, deep reinforcement learning, and motion planning research, and applying relevant techniques to Oxa Driver.
 * Optimise ML models and codebases for compute and memory efficiency to ensure efficiency in model training pipelines and meet vehicle deployment constraints.Understanding what data is needed to train and evaluate ML-based trajectory planning, and working with data teams and tools to source or generate the necessary real or synthetic data to achieve the team's goals.You will be encouraged to share your ideas with the team and the wider business.
 * You will interact with other teams to learn about the autonomy system and gain exposure to all aspects of the business.


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