AI/ ML Engineer

AI/ ML Engineer

Posted Today by Opus Recruitment Solutions

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£650 Per day
Outside
Onsite
Birmingham
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Amazon Web Services (AWS) Artificial Intelligence Cloud Computing Cloud Technology Data Engineering Financial Services Machine Learning Microsoft Azure Natural Language Processing Python (Programming Language) PyTorch (Machine Learning Library) Scalability Workflows

Summary: The AI/ML Engineer role focuses on designing, building, and deploying AI workflows and ML pipelines specifically for the financial services sector. This position requires collaboration with cross-functional teams to ensure the delivery of scalable and compliant AI solutions. The role is contract-based for 12 months and is strictly on-site in Birmingham. The ideal candidate will have a strong background in AI/ML technologies and experience in large-scale financial organizations.

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.

Key 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.

Salary (Rate): £650/day

City: Birmingham

Country: United Kingdom

Working Arrangements: on-site

IR35 Status: outside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

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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