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Temporary/Casual
Technology
ML Engineer
Opus Recruitment SolutionsLondon🇬🇧United KingdomPosted 17 Jul 2026
Why This Role Stands Out
This hybrid ML Engineer role offers a fantastic opportunity to contribute to life-changing HealthTech innovations, with a competitive £400/day rate and the chance to immediately impact patient care. You'll thrive here if you have strong Python, SQL, and AWS skills, experience productizing ML models, and a desire to work within an ethical AI-focused startup. Apply now to leverage your expertise and grow your career in this impactful position!
Quick Overview
Work Type
Hybrid
Schedule
Temporary/Casual
Level
Mid Senior
Job Description
ML Engineer (Early Career - Mid-level) New contract role Immediate starter - Just in!
Opus have partnered with an cutting-edge AI focused HealthTech start-up with a mission-driven culture and ethical AI approach. The successful candidate will be making a real impact to patient care outcomes.
Contract Specifics:
Rate: 400 per day, Outside IR35
Duration: 3 months
Start date: ASAP, Immediate starter
Working Patterns: Full-time, 1 day p/w in London-offices.
Person Specification:
- Solid skills in Python, SQL and AWS.
- Background in Software Engineering / Data Engineering Previous back-end work is nice to have
- Experience working with ML models (productisation, not just for research / prototyping)
Nice to have:
- A deeper understanding on ML Models / ML Data Science from an API perspective (GraphQL, gRPC, REST)
- Start-up or HealthTech experience.
This is an urgent requirement, please reach out ASAP to Adam Akhtar today (17th July) to avoid missing out!
Opus have partnered with an cutting-edge AI focused HealthTech start-up with a mission-driven culture and ethical AI approach. The successful candidate will be making a real impact to patient care outcomes.
Contract Specifics:
Rate: 400 per day, Outside IR35
Duration: 3 months
Start date: ASAP, Immediate starter
Working Patterns: Full-time, 1 day p/w in London-offices.
Person Specification:
- Solid skills in Python, SQL and AWS.
- Background in Software Engineering / Data Engineering Previous back-end work is nice to have
- Experience working with ML models (productisation, not just for research / prototyping)
Nice to have:
- A deeper understanding on ML Models / ML Data Science from an API perspective (GraphQL, gRPC, REST)
- Start-up or HealthTech experience.
This is an urgent requirement, please reach out ASAP to Adam Akhtar today (17th July) to avoid missing out!
Skills
SQL
AWS
GraphQL
Python
REST
gRPC
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