Automation Engineer - Morgan McKinley in Cambridge

Energy Jobline ZR; Cambridge; Hybrid; GBP 80,000 - 100,000; Part time

Job summary

A leading global technology firm in Cambridge is seeking an experienced Automation Engineer to join their R&D team. You will work at the forefront of robotics and machine learning, focusing on automating processes. Ideal candidates have a Master's degree in engineering and industry experience in robotics or software engineering, with strong skills in 3D geometry and problem-solving. This role offers a daily rate inside IR35 and hybrid working options.

Qualifications

• Industry experience in robotics or software engineering.
• Proven expertise in developing autonomous robotic solutions.
• Comfortable working hands-on with hardware in a lab environment.

Responsibilities

• Collaborate closely with engineers to build and refine automated systems.
• Design and automate processes that validate next-product features.
• Solve complex 3D geometry challenges and create efficient software.

Skills

Robotics

Software engineering

3D geometry

Problem-solving

Machine learning

Computer vision

Education

Master's degree in an engineering-related discipline

Job description

Automation Engineer - Cutting-edge R&D

Our Global client is seeking a highly motivated Automation Engineer to join a pioneering R&D team. You'll work at the intersection of robotics, software engineering and machine learning, helping to design and automate processes that validate next‑product features.

This is a hands‑on, lab‑based role, where you'll collaborate closely with engineers to build and refine automated systems using robotic, camera and lighting technologies. If you enjoy solving complex 3D geometry challenges and creating elegant, efficient software to power real‑world automation, this is an opportunity to make your mark.

What You'll Bring:

• Master's degree in an engineering‑related discipline.
• Industry experience in robotics or software engineering.
• Proven expertise in developing autonomous robotic solutions and working with 3D geometry.
• Strong software engineering skills and a practical, problem‑solving mindset.
• An interest in machine learning, computer vision or computer graphics.
• Comfortable working hands‑on with hardware in a lab environment.

Please note: This will be paid on a daily rate inside IR35 and hybrid working.

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