AI Field Engineer: Engineering Data & ML Solutions

CoreWeave Europe; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Family-level Medical Insurance

Family-level Dental Insurance

Generous Pension Contribution

Life Assurance at 4x Salary

Critical Illness Cover

Employee Assistance Programme

Tuition Reimbursement

Work culture focused on innovativedisr

Job summary

CoreWeave UK Ltd. is seeking a Specialist Field Engineer to support the technical delivery of AI solutions for engineering teams.

You will collaborate with delivery leads and data scientists to implement customer solutions using engineering datasets such as simulation, testing, and manufacturing data. You'll apply machine learning concepts within real engineering workflows, helping customers understand and adopt AI-driven approaches to problem solving.

Qualifications

• Bachelor’s degree or higher in Mechanical/Aerospace/Manufacturing Engineering or closely related field.
• Experience with simulation, test, or manufacturing data.
• Experience with engineering datasets and analytical tools to solve problems.
• Understanding of machine learning concepts and data-driven modeling.
• Ability to learn new technical platforms in engineering environments.
• Experience collaborating with cross-functional technical teams and stakeholders.

Responsibilities

• Deploy AI solutions for engineering teams, working with customers.
• Collaborate with delivery leads and data scientists to implement solutions.
• Apply ML concepts within real engineering workflows to solve problems.
• Contribute to successful deployment and adoption across projects.

Skills

Engineering data

Cross-functional collaboration

Stakeholder communication

ML concepts understanding

Tool learning agility

Education

Engineering degree

Job description

CoreWeave UK Ltd. is seeking a Specialist Field Engineer to support the technical delivery of AI solutions for engineering teams.

You will collaborate with delivery leads and data scientists to implement customer solutions using engineering datasets such as simulation, testing, and manufacturing data. You'll apply machine learning concepts within real engineering workflows, helping customers understand and adopt AI-driven approaches to problem solving.