Graduate Machine Learning Engineer
Brackley, UK
We have an exciting opening for a Graduate Machine Learning Engineer to join our Aerodynamics Department.
Reporting to the Lead Data Scientist – Aerodynamics, you will help pioneer the development of machine learning models that improve our aerodynamic development process.
Working collaboratively as part of a small team, you will be applying your thoughtful and curious nature to a range of stimulating challenges. By interpreting trends and developing understanding, you will create innovative solutions to complex problems. As a valued member of our Aerodynamics Department, your ideas and skills will make a tangible contribution to the Team.
As a Graduate Machine Learning Engineer your responsibilities will include:
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Developing and supporting Machine Learning (ML) models to improve our aerodynamic development process
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Setting-up robust and automated pipelines for data gathering, cleansing and wrangling
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Using data gathered from a range of sources, including Computational Fluid Dynamics, wind-tunnel measurements and vehicle testing, to develop and validate ML models
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Communicating progress while working on multiple projects in parallel
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Proactively coordinating the completion of work items
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Providing assistance to team members who are using ML tools or engaging in data science projects
Supported and mentored by knowledgeable engineers, you will see your skills develop. Immersed in a culture of empowerment and fresh thinking, you will take the next step in a successful career.
This role is office-based, at our campus in Brackley, United Kingdom
To be successful you will have:
Essential:
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A master’s degree, or above, in a relevant discipline. Examples could include: Computer Science, Mathematics, Physics, Engineering (eg MCompSci, MMath, MPhys, MEng, MSc)
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Understanding of supervised and unsupervised learning techniques Understanding of computational statistics
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Experience using python
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Experience with one or more deep learning frameworks (e.g., PyTorch, TensorFlow)
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Experience writing, developing, or modifying ML-based software processes, through a university project or working in industry
Desirable:
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Available to start in third quarter of 2024
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Proficiency in MATLAB or C#
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Experience with MLOps
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Understanding of Git
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Experience with message broker systems (RabbitMQ and or Kafka)
Your open and honest communication style and broad overview of your subject mean you relish collaborating in a team setting and enjoy discussing technical concepts. You are equally comfortable working on your own, applying your reflective nature, interpretive skills, attention to detail and dependable judgment to understand complicated problems then propose and evaluate quality solutions in a timely fashion. Looking to fulfil your potential, you are keen to develop yourself further in a demanding role, excited about constantly learning while fostering the understanding of others.
Whilst a prior involvement in motorsport is not essential, a passion for Formula 1 is highly desirable. We are keen to see your potential to deliver at the highest level of motorsport, applying your skills and understanding to practical data problems. We are committed to equal opportunities and take pride in our strong, inclusive values and culture.
Benefits:
Our riverside campus is powered by 100% renewably sourced energy and features an on-site gym and exercise studio, subsidised restaurant and on-site parking with EV chargers available.
We offer a competitive and attractive package of benefits including a generous bonus scheme, Mercedes car lease scheme, private medical cover, life assurance and 25 days holiday. We pride ourselves on our family-friendly environment, employee well-being programme and offer flexible working opportunities.
Why us:
At the heart of our performance are our people. Every member of our team has a voice and plays their part in contributing to our successes on and off the racetrack. We take pride in creating an innovative, collaborative and high-performance culture where all of our team members are respected, empowered and valued.
Through our Accelerate 25 programme, we are continuously working to make our team even more diverse and inclusive. Whatever your background, we believe that you will find working with us rewarding and enriching.
Your application:
Please include a covering letter explaining your suitability for the role, and up-to-date CV with your application, preferably in one file in PDF format.