Senior Data Engineer (Reasoning ML)

Oxa Autonomy; Oxford; Hybrid; GBP 60,000 - 85,000; Full time

Job summary

A leading company in autonomous vehicle technology seeks a Senior Data Engineer in Oxford. The role involves developing ML data pipelines, enhancing operational support, and mentoring junior engineers. The candidate should have a strong background in machine learning technologies, robust programming skills, and a collaborative mindset, offering a competitive salary and flexible working arrangements.

Benefits

Competitive salary, reviewed annually

Company share programme

Hybrid and/or flexible work arrangements

£3,000 flexible benefits package

Funded relocation support

Fully funded Visa sponsorship

Pension plan

25 days’ annual leave plus bank holidays

Pet-friendly office environment

Qualifications

• 3+ years of professional experience developing behavioral ML technologies.
• Fluency in Python and experience with data analysis libraries.

Responsibilities

• Develop and deploy data pipelines for ML models.
• Design and implement metrics for model validation.

Skills

Python

Data analysis

Machine learning

Project leadership

Education

Degree in Computer Science, Mathematics or related field

PhD or MSc in Computer Science, Mathematics or related field

Tools

Google Cloud Platform

Job description

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Senior Data Engineer (Reasoning ML), Oxford

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Client:

Location:

Oxford, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

f83cb6f3b590

Job Views:

13

Posted:

17.06.2025

Expiry Date:

01.08.2025

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Job Description:

Your Role

As our Senior Data Engineer (Reasoning ML), you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified and resolved, and drive improvements to product quality, customer experience, and maintainability.

You will:

• Take a leading role within your team to develop and deploy state of the art data pipelines for our machine learning models.
• Design and implement metrics for model validation and continuous monitoring in production.
• Leverage the Oxa Metadriver platform to generate synthetic data, and train effective and robust driving policies,
• Build cloud tooling and infrastructure in support of experimentation, evaluation and deployment workflows.
• Engage with team members and colleagues throughout the business to create an environment that supports collaboration and mutual understanding.
• Contribute to hiring and onboarding new team members, including mentoring and developing junior engineers.

Requirements

What you need to succeed:

• Degree in Computer Science, Mathematics or a related field.
• 3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics.
• Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines.
• Fluency in Python and experience with data analysis libraries and packages.
• Proven record of leading and delivering projects as part of a team.
• Effective technical communication and leadership skills.
• An appreciation for the role of safety, security and ethics in AI.
• PhD or MSc in Computer Science, Mathematics, or related field.
• Relevant publications or talks at industry conferences or in journals.
• Familiarity with open benchmark datasets for autonomous vehicles (, Waymo, nuScenes/nuPlan, Argoverse, Level 5, etc.)
• Experience developing and fielding autonomous systems.
• Familiarity with Google Cloud Platform.

The Candidate Journey: Multi-Step and Two-Way

No-one wants to feel like a square peg in a round hole, so this process is designed to give you every chance to get the measure of us, and us of you. The various stages give you every opportunity to show your unique strengths and qualities, and enables each of us to establish if we’re a good fit for the other. If the fit is good and you’re selected, you’re then in a position to do great work and thrive, which is what everyone wants.

We provide:

• Competitive salary, benchmarked against the market and reviewed annually
• Company share programme
• Hybrid and/or flexible work arrangements
• An outstanding £3,000 flexible benefits including private medical insurance, critical illness coverage, life assurance, EAP, group income protection
• Funded relocation support
• Fully funded Visa sponsorship if required
• A salary exchange pension plan
• 25 days’ annual leave plus bank holidays
• A pet-friendly office environment
• Safe assigned spaces for team members with individual and diverse needs