Job Description
Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.
We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.
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- 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- services
- Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
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 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.
If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.
