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Robotics jobs — ML Engineer | Ocado | UK · Ganloss

AI role · Open offer

Robotics ML Engineer — warehouse AI

Ocado Technology

Full-time
Senior
Robotics
Hybrid
Buildings 1 & 2, Trident Place, Hatfield, England AL10 9UL, United Kingdom · Hybrid
Hatfield, United Kingdom
£85k–£115k + bonus

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

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At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Buildings 1 & 2, Trident Place, Hatfield, England AL10 9UL, United Kingdom · Hybrid
Compensation: £85k–£115k + bonus
Experience level: Senior
Team: Robotics
Benefits & perks: Discounts, pension, on-site lab.
How to apply: Sim2real or perception project with metrics.
Company site: www.ocadogroup.com
Listed: Jun 5, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Ocado Technology is hiring a Senior Robotics ML Engineer — warehouse AI on the Robotics team (Hybrid · Hatfield, United Kingdom). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Ocado Technology builds warehouse robotics and AI for online grocery at global scale. Hatfield R&D connects simulation to live fulfilment centres.

Robotics ML Engineer: perception, motion planning ML, and sim2real validation for autonomous bots.

What you will do

Ship production robotics perception ML with clear evaluation, monitoring, and rollback paths—not demo-only notebooks.
Partner with product, design, and domain experts on requirements, trade-offs, and safe rollout.
Improve data quality, labeling, and offline metrics that correlate with business KPIs.
Document architectures and runbooks for on-call and customer-facing teams.
Mentor engineers on testing, observability, and responsible AI practices.

What we look for

Strong Python and modern ML/LLM stack experience with multiple shipped features.
Comfort with SQL, experimentation, and communicating results to non-technical stakeholders.
Pragmatic ownership from prototype to production—including cost and latency budgets.
Eligible to work in the listed country; professional English (French a plus for Paris roles).

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

ROSTool
Regular use of ROS in the LLM & generative AI stack—configuration, debugging, and team conventions.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Sim2real or perception project with metrics.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, and ROS.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Hatfield, United Kingdom)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: £85k–£115k + bonus, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Sim2real or perception project with metrics.

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