3 of 3 Contract Machine Learning Jobs in the Midlands

AI/ ML Engineer

Hiring Organisation
Opus Recruitment Solutions Ltd
Location
Birmingham, West Midlands, England, United Kingdom
Employment Type
Contractor
Contract Rate
£650 per day
/ML Engineer – Financial Services Contract: 12 months Location: Birmingham (5 days on-site, non-negotiable) Rate: Up to £650/day IR35: Outside Key Responsibilities Design, build, and deploy AI workflows and ML pipelines across large-scale cloud infrastructures. Work on enterprise-level financial services projects , ensuring scalability … compliance. Collaborate with cross-functional teams to deliver robust AI solutions. Required Skills Proven experience in AI/ML pipeline development and deployment. Strong background in Python , Machine Learning , and Data Engineering . Expertise in AWS and/or Azure cloud platforms. Hands-on experience with PyTorch , LLMs ...

IT Expert Principal

Hiring Organisation
Hays Specialist Recruitment Limited
Location
Pride Park, Derby, Derbyshire, England, United Kingdom
Employment Type
Contractor
Contract Rate
Salary negotiable
interviews with the customer staff covering the following areas: Current infrastructure & use cases of HPC. Containerisation capabilities workshop and discussion of typical HPC/ML workloads Software Development Life Cycle (SDLC), including Jupyter ecosystem (Hubs/Labs/Notebooks) for Data Scientists workflows MPI Nice to have: Knowledge ...

HPC Engineer - SC Cleared

Hiring Organisation
Experis
Location
Derby, Derbyshire, East Midlands, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
£600 - £700 per day
globally recognised UK manufacturer operating across aerospace, defence, and mission-critical power systems . The focus is modernising how HPC and HPC/ML workloads are built, packaged, and run using MPI-optimised container approaches - with pragmatic, implementable outcomes. What you'll deliver: Rapid review of current HPC estate, workflows … priority use cases (workshops + technical deep dives) Containerisation capability sessions focused on real HPC and HPC/ML workloads (not generic platform advice) Guidance on MPI-ready container images, build tooling, and repeatable operational patterns Scheduler/runtime alignment and deployment approach (batch, interactive, data science workflows) Clear recommendations ...