Senior ML Engineer — Autonomous Vehicle Reasoning (Remote)

Oxa; Oxford; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity scheme

Pension contributions

25 days holiday

Overseas work policy

Hybrid/Remote work

Private health cover

Health benefits

Parental leave

Job summary

Oxa is seeking a Senior Engineer (ML Reasoning) to lead research and development of data-driven reasoning for Oxa Driver. You will train, evaluate, and deploy state-of-the-art ML models to plan safe driving in industrial environments.

You will collaborate with cross-functional teams, adapt models for real-world deployment, and help advance autonomy across global logistics scenarios. This role offers flexible hybrid/remote work arrangements and strong technical growth.

Qualifications

• Experience in research environment or equivalent
• Proven ability to train/evaluate ML models for planning
• Strong Python software development skills
• Excellent data analysis and experiment-tracking discipline
• Ability to communicate technical results clearly
• Understanding of both technical and commercial requirements

Responsibilities

• Research, develop, and deploy ML models for autonomous vehicle trajectory planning (BC/RL).
• Design and scale end-to-end training pipelines across simulation and real data.
• Build simulation-in-the-loop training environments with safety/comfort metrics.
• Optimize ML models for compute and memory efficiency for deployment.
• Collaborate with data teams to source/generate data and share findings.

Skills

ML for motion planning

Python

Experiment tracking

Data analysis

Communication

GCP

MLOps

C/C++

Tools

GCP

C/C++

Job description

Oxa is seeking a Senior Engineer (ML Reasoning) to lead research and development of data-driven reasoning for Oxa Driver. You will train, evaluate, and deploy state-of-the-art ML models to plan safe driving in industrial environments.

You will collaborate with cross-functional teams, adapt models for real-world deployment, and help advance autonomy across global logistics scenarios. This role offers flexible hybrid/remote work arrangements and strong technical growth.