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# Graduate AI Machine Learning Engineer

- **Company:** Atlassian
- **Location:** Wantage, UK
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Cloud Computing, Data Fusion, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Git, Scikit Learn, Information Technology, Atlassian Tools, Machine Learning Operations, Software Version Control
- **Published:** September 4, 2026
- **Apply:** https://www.careerjet.co.uk/job/gb71f534cd31224b029178201d8dd42887/eaa

## About the Role

* A degree in Computer Science, Maths, Physics, Engineering, Statistics or similar
 * Proficiency in Python and ML frameworks (e.g., PyTorch, Scikit-learn, TensorFlow).
 * Some exposure to applying AI techniques and models to improve performance
 * Familiarity with cloud platforms and version control systems (e.g., Git).
 * Knowledge of motorsport or automotive engineering is advantageous but not essential.

## Description

At Atlassian Williams F1 Team, our two-year Graduate Programme throws you into real motorsport from day one. Our rotational routes offer broad, cross-team exposure, or you can go deep as a subject-matter expert, specialising in one area. Expect live projects, a leadership speaker series, and wraparound support from our Early Careers team and your manager. Join a tight-knit cohort, build a network across the business, and fast-track your skills into impact. This could be your launchpad to become one of our future leaders.
At Atlassian Williams F1 Team, the Technology & Innovation Group (TIG) is modernising our tech to sharpen our Formula 1 advantage. Leveraging data, AI, and cutting-edge software, we speed up development and enhance performance. In a budget-capped sport, smart technology is key to maximising efficiency and every fraction of performance.
As a graduate in this role, you help build the intelligent systems that drive performance on and off the track. You apply machine learning, data science, statistics and simulation to real motorsport problems, from vehicle dynamics to race strategy. It is hands-on work where your models feed directly into how the car is developed and run.

 * Help design and train AI models for vehicle performance, aerodynamics, race strategy and operations
 * Work with everything from statistical models to deep neural networks on real engineering problems
 * Build machine learning pipelines for simulation, data fusion and predictive analytics
 * Use frameworks such as PyTorch, Scikit-learn and Polars to draw insight from large datasets
 * Work across departments to put models into car development, showing innovation and teamwork


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