3 ai engineer jobs found in Birmingham

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.

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.

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.