Key Responsibilities

　　Drive AI-powered research and innovation related to Electric Drive Units for Automotive applications, aligned with the GKN Automotive Innovation strategy

　　Collaborate closely with cross-functional teams to conceptualise, design, develop, and deploy machine learning solutions tailored to e-powertrain systems

　　Apply proficiency in high level mathematical languages like Python to develop machine learning algorithms and models

　　Process and analyse large datasets to create innovative solutions

　　Stay up to date with the latest advancements, trends and best practices in AI and machine learning and define new areas of focus

　　Produce technical reports and other engineering related documentation

　　Support research activities in the Automotive Advanced Research Centre (AARC), our partnership with the University of Nottingham and Newcastle University

　　Support IP capture and Patent Applications, where appropriate

　　Prepare papers and presentations to GKN stakeholders on the progress and conclusions of research

　　Essential Qualifications & Experience

　　Degree / PhD in Computer Science, Engineering, Statistics, or a related field

　　3+ years as a Machine Learning engineer or similar

　　Extensive experience in machine learning, including deep learning and reinforcement learning

　　High level competency in mathematics, including digital signal processing, stochastic processes and linear algebra

　　Experience in linear regression, classification and decision trees

　　Proficient in Python programming

　　Understanding of object-oriented programming principles

　　Working knowledge of PyTorch, TensorFlow and other relevant tools

　　High-level analytical capability to facilitate conceptual thinking, problem-solving and innovation

　　Ability to collaborate with multidisciplinary engineering teams

　　Ability to share technical knowledge effectively with others, coach and guide as appropriate

　　Desired Experience

　　An understanding of automotive mechatronics systems

　　Familiarity with large language models, such as Chat GPT, and the ability to use them effectively to extract data

　　Programming in C

　　Experience of Matlab & Simulink (including auto coding)

　　GKN Driveline provides equal employment and affirmative action opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, age, genetic information, pregnancy, or disability.