Machine Learning Engineer; Automotive / Vehicle Controls

Are you passionate about leveraging machine learning to revolutionize the automotive industry? Join our Automotive clients' Vehicle Controls department as a Machine Learning Engineer, where you'll be part of a dynamic scrum team responsible for software development from concept to industrialization. We're seeking a driven individual with a strong customer focus and a commitment to delivering high-quality solutions. If you're eager to expand your technical insights and contribute to developing cutting-edge technologies, we want to hear from you!

Key Responsibilities:

• Develop and train machine learning models to predict EV Energy Consumption, Battery Degradation, Charging Strategy, and Driving Behaviors.


• Process and prepare data for machine learning model training and verification.


• Deploy machine learning models into production and ensure their operational efficiency at scale.


• Monitor and update machine learning models to enhance accuracy.


• Stay abreast of the latest developments in machine learning algorithms and architectures.

Qualifications and Skills:

• Master’s or PhD in relevant fields such as Data Science, Statistical Analysis, Machine Learning, Computer Science, or Mathematics.


• Minimum of 3 years of professional work experience in similar roles.


• Domain knowledge in Electric Vehicles, Battery Technology, and EV Energy Management.


• Proficiency in programming languages such as Python, R, or similar languages used for Data Analysis and Machine Learning.


• Experience in Model Deployment Tools and Techniques.


• Experience using machine learning libraries such as TensorFlow & PyTorch.


• Fluent in English (spoken and written).


• Experience with Agile methodologies, Git, and JIRA is advantageous.

If this is you then contact Rob with your CV ASAP for further details