2 of 2 Remote Machine Learning Jobs in Woking

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

focus. Role Dimensions: The role sits in the Aero Performance team who are responsible for directing the development of existing and new technologies to maximise on-track performance and learning, to influence the wider team. The role will involve close cooperation with other members of the Aero Performance team, the Wind Tunnel Technology team as well as R&D … can inform decision-making processes. Develop and implement statistical models and algorithms to optimize aerodynamic performance. Apply statistical techniques to identify correlations and causations that impact overall performance. Utilize machine learning algorithms and techniques to uncover insights from structured and unstructured data sources. Create visually compelling and intuitive dashboards, reports, and visualizations to communicate data-driven insights to … key stakeholders, including aerodynamicists, race engineering, and team management. Stay abreast of the latest advancements in data science and machine learning. Explore new methodologies, tools, and technologies that can enhance the team's analytical capabilities and gain a competitive edge. Collaborate with cross-functional teams, including race engineers, vehicle dynamics experts, and aerodynamicists, to integrate data insights into the More ❯