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AI / ML Engineer

Opus Recruitment Solutions

Birmingham

On-site

GBP 80,000 - 100,000

Full time

Yesterday
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Job summary

A recruitment firm is seeking an experienced AI / ML Engineer for a 12-month contract in Birmingham. The role involves designing and deploying AI workflows and ML pipelines tailored for financial services. Candidates should have expertise in Python, AWS, and data engineering, along with hands-on experience with advanced ML technologies. Strong collaboration with cross-functional teams is essential to ensure scalable and compliant AI solutions in a 5-day on-site work environment.

Qualifications

  • 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, and NLP technologies.
  • Previous experience in financial services within large-scale organisations.

Responsibilities

  • Design, build, and deploy AI workflows and ML pipelines across large-scale cloud infrastructures.
  • Work on enterprise-level financial services projects, ensuring scalability and compliance.
  • Collaborate with cross-functional teams to deliver robust AI solutions.

Skills

AI / ML pipeline development
Python
Machine Learning
Data Engineering
AWS
Azure
PyTorch
LLMs
NLP technologies
Job description

AI / 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 and 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, and NLP technologies.
  • Previous experience in financial services within large‑scale organisations...
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