Job Description:
We have an exciting opportunity for a Machine Learning Engineer to join our team at the new Silverstone Facility. In this role, you will support the development of AI and machine learning techniques to enhance our capabilities and operational effectiveness.
What you will be doing:
1. Innovate using state-of-the-art machine learning techniques to meet capability requirements.
2. Design and build data pipelines utilizing AI/ML to improve efficiency and effectiveness.
3. Select appropriate libraries and frameworks for machine learning applications relevant to our technical needs.
4. Apply technical skills across workstreams including machine learning, data science, and numerical simulation.
5. Collaborate with teams to develop, train, and validate models.
6. Research and share the latest machine learning technologies and techniques with team members.
Requirements:
* A degree in engineering, physics, computer science, mathematics, or a related field.
* At least 2 years of relevant experience, preferably in motorsport.
* Strong background in statistics, data science, machine learning algorithms, and optimization techniques.
* Experience with PyTorch or similar frameworks, and tools like PyVista and NumPy.
* Practical knowledge of software development practices, including version control.
* Enthusiasm for applying machine learning to engineering problems.
* Effective communication skills with stakeholders and team members.
* Proficiency in IT skills, including MS Office Suite.
* Commitment to fostering an inclusive and open culture.
Please note that additional security checks, including background and criminal record checks, may be required as part of the recruitment process.
This description outlines the primary tasks and responsibilities of the role. The company reserves the right to assign additional duties as needed, based on skills and experience. We review applications on a rolling basis and encourage early submission. We are an equal opportunity employer committed to diversity and inclusion, welcoming applicants from all backgrounds.
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