Automation Engineer with Robotics & 3D Geometry in Cambridge

Energy Jobline ZR; Cambridge; On-site; GBP 37,000; Full time

Job summary

A leading engineering recruitment firm is looking for an Automation Engineer to join their Cambridge office. This role involves hands-on work with robotics and 3D geometry to create automated validation processes alongside machine learning teams. Candidates should have a Master's degree and 3+ years of experience in software or robotics. This is a full-time position requiring on-site work.

Qualifications

• Minimum 3+ years of industry experience in software or robotics.
• Expertise in developing autonomous robotic solutions.
• Exceptional software engineering skills.

Responsibilities

• Create automated processes to validate new features for products.
• Work hands-on with robotic, camera, and lighting equipment.
• Collaborate with ML algorithm teams.

Skills

Robotics

3D Geometry

Software Engineering

Machine Learning

Computer Vision

Education

Masters Degree in engineering or related discipline

Job description

Automation Engineer with Robotics & 3D Geometry

Cambridge, UK (near station) – Lab based mainly on site.

Contract: 8 months, inside IR35. Salary: £36,600 per annum (net approx £1k take‑home per week, £70k annual salary equivalent). Right to work in the UK required.

You will be working side by side with ML algorithm teams to create automated processes to validate new features for products. This work will be hands‑on, working with robotic, camera and lighting equipment. Candidates should have experience working with robotics or 3D geometrical problems, with exceptional software skills. Interest in machine learning, computer vision, and software QA are desirable. This is a full‑time position; candidates must be able to work from the Cambridge office the majority of the time.

Key Qualifications

• Masters Degree in engineering or related discipline.
• Minimum 3+ years of industry experience in software or robotics.
• Expertise in developing autonomous robotic solutions.
• Expertise in 3D geometry.
• Exceptional software engineering skills.
• Interest in Machine Learning or Computer Graphics preferred.
• Comfortable with hands‑on practical tasks, working in a lab environment.

We wish you the best of luck in your next career move.