Hybrid Edge ML Engineer for Real-World AI Deployments

Rowden; West of England; Hybrid; GBP 50,000 - 95,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Rowden is seeking a Machine Learning Engineer at all levels to join its expanding team in Bristol. You will contribute to end-to-end ML development, from R&D to production, collaborating with software, hardware and systems teams to deploy AI on edge and embedded environments.

The role supports a hybrid working model with on-site presence in Bristol and requires eligibility for SC clearance. Competitive compensation ranges from £50,000 to £95,000 per year depending on seniority and experience.

Qualifications

• Must have a degree or postgraduate study in ML/CS/engineering.
• Strong Python programming and software engineering habits.
• Experience delivering ML systems to production.

Responsibilities

• Own and ship ML in production, including edge deployments.
• Train, evaluate and optimise models for real-world use cases.
• Develop data pipelines and ML infrastructure for scalable training.
• Collaborate with software, hardware, and systems teams.

Job description

Rowden is seeking a Machine Learning Engineer at all levels to join its expanding team in Bristol. You will contribute to end-to-end ML development, from R&D to production, collaborating with software, hardware and systems teams to deploy AI on edge and embedded environments.

The role supports a hybrid working model with on-site presence in Bristol and requires eligibility for SC clearance. Competitive compensation ranges from £50,000 to £95,000 per year depending on seniority and experience.