Production & Planning Intern: Fast-Paced Motorsport Projects

Raceforce Global; Woking; On-site; GBP 18,000 - 22,000; Full time

Job summary

McLaren Racing offers a placement year in our Production team, starting summer 2027. You will work on projects supporting the manufacture, planning and operational delivery of a Formula 1 car.

You will plan and deliver varied projects in a fast-paced environment, manage multiple workstreams and turn data into practical improvements with guidance from experienced team members. We welcome students studying Manufacturing or Mechanical Engineering with a 2:1 predicted grade and an interest in AI

Qualifications

• Studying towards a degree in Manufacturing Engineering, Mechanical Engineering, Production Engineering or related field with a 2:1 predicted grade.
• Understanding of manufacturing processes and production environments.
• Strong project skills with evidence of organising work and delivering outcomes.
• Confident using data and digital tools to understand performance and communicate recommendations.
• Interest in AI integration in manufacturing, planning, reporting, workflow automation or process improvement.
• Experience in manufacturing or motorsport is desirable but not required.

Responsibilities

• Plan and deliver varied projects in a fast-paced, high-pressure environment.
• Manage multiple workstreams and adapt to changing priorities.
• Turn ideas and data into practical improvements with guidance from experienced teammates.
• Projects across machining, quality, production planning and data-led improvement.

Skills

Manufacturing engineering knowledge

Mechanical engineering knowledge

Project management

Data analytics

AI integration interest

Motorsport exposure desirable

Education

Manufacturing/Mechanical/Production Eng degree

Job description

McLaren Racing offers a placement year in our Production team, starting summer 2027. You will work on projects supporting the manufacture, planning and operational delivery of a Formula 1 car.

You will plan and deliver varied projects in a fast-paced environment, manage multiple workstreams and turn data into practical improvements with guidance from experienced team members. We welcome students studying Manufacturing or Mechanical Engineering with a 2:1 predicted grade and an interest in AI