Lead Machine Learning Engineer
Posted 1 day ago by fierlo
Negotiable
Undetermined
Undetermined
London Area, United Kingdom
Summary: The Lead Machine Learning Engineer will be responsible for establishing an AI team and delivering advanced AI and ML solutions. This role involves designing and implementing scalable systems while mentoring engineers and fostering a culture of collaboration. The position requires expertise in various AI technologies and cloud platforms, along with strong communication skills to align technical strategies with business goals. A minimum of 7 years of experience in AI or ML engineering is essential for this role.
Key Responsibilities:
- Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions.
- Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
- Deploy models via APIs, containers, or cloud-native services.
- Set team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
- Lead tech enablement and mentor engineers, fostering a culture of reliability, continuous improvement, and collaboration.
Key Skills:
- Expert in MCP and RAG patterns.
- Proficient 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 delivering production-grade AI solutions in complex, data-rich environments.
- Excellent communication skills to translate technical strategy into business outcomes.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Lead Machine Learning Engineer Contract hands-on AI Engineer at Principal/Staff level to bootstrap an AI team to deliver an AI capability. - 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 7 years’ professional experience in AI, ML, or applied machine learning engineering roles.