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Graduate Machine Learning Engineer 2027

Category
Jobs
Posted
October 20, 2026
Deadline
November 29, 2026
Region
Europe
Country
United Kingdom
Sector
Technology & AI
Work mode
On-site
Apply via
job-boards.greenhouse.io

Overview

Graphcore offers a permanent Graduate Machine Learning Engineer role based in Bristol, UK, starting in September 2027. This position is part of a two-year graduate programme within the Applied AI department, where participants engage in hands-on learning, implement advanced models on next-generation hardware, and collaborate across research, software, and product teams.

Who can apply

Applicants must hold a Bachelor or Master degree in Computer Science, Machine Learning, Maths, Data Science, or a related field. Candidates are also required to already possess the legal right to work in the UK for the full duration of the programme without needing visa sponsorship, as the employer cannot sponsor work visas for early careers opportunities.

What you get

The permanent position includes a two-year learning structure with flexible working arrangements and up to five percent matched pension support for retirement planning. Additional benefits comprise phantom equity, on-site workplace provisions such as free food and an on-site barista, income protection, life assurance, an electric vehicle lease scheme via salary sacrifice, and a choice of optional flexible benefits including private medical insurance, a health cash plan, dental cover, and a cycle to work scheme.

Requirements

Candidates need software development skills alongside proficiency in a deep learning framework such as JAX or PyTorch. Applicants must understand deep learning architectures, scaling, evaluation, and optimisation, and demonstrate the ability to design, execute, and explain machine learning experiments through relevant experience, personal or team projects, coursework, a dissertation, or research.

How to apply

Interested candidates must submit a CV, a cover letter, and answers to the application questions. The selection process involves an initial application review, followed by a technical assessment for successful candidates, and concludes with an in-person assessment during early spring for those reaching the final stage.

Key dates

The application deadline is midnight on 29th November 2026, though early applications are encouraged. Applicants will be notified of their application outcome by early December at the latest, and the start date for the programme is September 2027.