3 of 3 Contract Machine Learning Jobs in the Midlands

Data Scientist/AI Engineer

Hiring Organisation
Square One Resources
Location
Birmingham, West Midlands, West Midlands (County), United Kingdom
Employment Type
Contract
Contract Rate
£500/day
develop solutions. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Designing and building Python/ML/OCR-based components. Not only supporting the development of the product, but also the full lifecycle including the deployment, testing and production support … models and Generative AI - particularly in using open source models for achieving business outcomes. Experience delivering to production in Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks ...

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 ...

HPC Engineer - SC Cleared

Hiring Organisation
Experis
Location
Derby, Derbyshire, United Kingdom
Employment Type
Contract
Contract Rate
£600 - £700/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 ...