Lead Machine Learning Engineer

Lead Machine Learning / Founding Machine Learning Engineer

Outside IR35

Global well established organisation with a mission to deliver advanced AI capabilities.

About the Role

Lucrative Contract hands-on AI Engineer at Principal/Staff level to build and to deliver an AI capability.

Responsibilities

• Reporting to VP Engineering
• Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system.
• Expert in MCP and RAG patterns
• Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
• Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow)
• Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS)
• Strong background in deploying models via APIs, containers, or cloud-native services
• Proven track record delivering production-grade AI solutions in complex, data-rich environments
• Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
• Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration.
• Excellent communication skills, able to translate technical strategy into business outcomes and work across team.
• Minimum 5 years’ professional experience in AI, ML, or applied machine learning engineering roles.

Required Skills

• Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow)
• Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS)
• Strong background in deploying models via APIs, containers, or cloud-native services
• Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.

Preferred Skills

• Expert in MCP and RAG patterns
• Proven track record delivering production-grade AI solutions in complex, data-rich environments
• Excellent communication skills, able to translate technical strategy into business outcomes and work across team.

Equal Opportunity Statement

We are committed to diversity and inclusivity in our hiring practices.

Send us your cv now for interviews happening w/c 20th October. 2 stage interview process that will move quickly to have you in place this month.