Senior Machine Learning Engineer in City of London
New Today
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.
Job Description
Senior Machine Learning Engineer – London
Are you a Senior ML Engineer who wants to build AI that genuinely matters?
Our client is a leading digital technology organisation delivering AI, data, and software solutions to UK public sector and security customers. They are expanding their machine learning capability and are seeking an experienced engineer to design, evaluate, and deploy production-grade ML and GenAI solutions in high-impact operational environments.
What you’ll be doing:
Design and build ML models across forecasting, classification, anomaly detection, and GenAI / LLM use cases
Lead experimentation cycles: hypothesis, evaluation, iteration, and validation
Take successful ML approaches into production, including deployment and monitoring
Build and optimise ML pipelines on AWS
Develop LLM-powered solutions, including evaluation and observability
Apply strong MLOps practices: experiment tracking, versioning, and reproducibility
Communicate findings clearly to technical and non-technical stakeholders
Mentor junior engineers and contribute to team best practices
This role is for you if you have:
Strong Python ML experience (e.g. scikit-learn, XGBoost, PyTorch, or TensorFlow)
Production experience with AWS ML services (e.g. SageMaker, Lambda, S3)
Proven ability to move models from experimentation into live systems
Experience with MLOps tools (MLflow, Weights & Biases, DVC, or similar)
Hands-on exposure to LLM / GenAI applications, including RAG
Nice to have:
Experience with advanced LLM techniques (e.g. agents, tool use)
Familiarity with vector databases and feature stores
Experience with Docker, Kubernetes, or Infrastructure as Code
Important: Security clearance required (or eligibility to obtain it).
Benefits:
Hybrid working with flexibility
25 days’ holiday plus buy/sell options
Competitive pension, bonus, and benefits
Strong career development and mentoring
Opportunity to work on mission-critical AI supporting UK security
Ok, I’m in — what’s next?
Please apply with your latest CV.
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.
- Location:
- City Of London
- Job Type:
- FullTime
We found some similar jobs based on your search
-
New Today
Senior Machine Learning Engineer in City of London
-
City Of London
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 ener...
More Details -
-
New Today
Senior Machine Learning Engineer in City of London
-
City Of London
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 ener...
More Details -