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Product Engineer

Encord · London

On-siteSeniorPosted 13 Aug 2026

What this role requires

3 requirements, read out of the advert rather than guessed from the job title:

Also mentioned, not required: Kubernetes, GCP, PyTorch, CUDA, Ray, English (B2). Worth having, but their absence is not what gets a CV filtered out.

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Job description

About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production.

Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

The role

As a Product Engineer at Encord, you'll be embedded at the core of our product — owning features end-to-end, from the API design and backend systems all the way through to the UI that annotation teams, ML engineers, and compliance officers use every day. You won't be handed specs; you'll help write them.

We care deeply about product craft, technical excellence, and shipping things that genuinely matter to our clients. If you have strong opinions about what good software looks and feels like — and the drive to make it happen — you'll fit right in.

Read the full description (36 more sections)

What you'll do

Build scalable back-end systems and intuitive front-end interfaces — owning features from database schema to rendered UI

Work with ML workflows — developing tooling for model evaluation, active learning, and automated quality pipelines

Iterate rapidly on product and ship high-quality features at pace, maintaining strong CI/CD and testing practices throughout

Work closely with customers, product, and design to understand problems deeply and deliver solutions that create real impact

Contribute to shaping how the team works — our architecture decisions, engineering culture, and product direction are all open for input

Who we're looking for

You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed

You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day

You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.

You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly

You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go

You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you

Experience requirements

Strong full-stack engineering experience, with a strong track record of shipping products you're proud of

Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language)

Strong front-end skills — comfortable with building polished, responsive interfaces, ideally with React

Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes) is a plus

Experience building at scale in a fast-paced startup or high-growth environment

Exposure to machine learning workflows or ML infrastructure is a plus

Tech stack

We are technology-agnostic at Encord and are not looking for experience across all of these — as long as you're open to learning, please apply.

Backend: Python

Frontend: TypeScript and React

Deployment: Kubernetes

Infrastructure: GCP

Machine learning: PyTorch, CUDA, Ray

Why Encord

Competitive salary, commission, and meaningful equity in a high-growth startup

Strong in-person culture — most of the team works from our London office 4+ days/week

25 days annual leave + UK public holidays

Annual learning & development budget

Travel for customer visits, events, and conferences across the UK and Europe

Company lunches twice a week

Monthly socials & bi-annual team offsites

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