Staff Machine Learning Engineer in City of London
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Job Description
Staff Machine Learning Engineer – | 3 Roles | London Hybrid – (2 days)
I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires.
All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism.
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. Staff SE – Agentic AI
Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you.
▸ LangGraph · Pydantic AI · Agent SDK · LLMOps
. Staff SE – Information Extraction
Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale.
▸ NLP · Document AI · Data Pipelines · Evals
. Staff SE – MLOps / DevOps for AI
Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack.
▸ MLFlow · Databricks · Datadog · Terraform
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What all three roles require:
• 7+ years in AI/ML engineering, shipping models in production
• 3+ years in a Staff-level or senior technical leadership role
• Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI
• Strong Python; Java or Rust a bonus
• Experience with LLMs, evaluation frameworks, and agentic AI patterns
• Docker, K8s, Terraform, CI/CD
• A collaborative leadership style — mentoring engineers, shaping best practices
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Core stack:
Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs
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London hybrid (2 days/week)
Competitive Salary and benefits
Not eligible for visa sponsorship
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Interested? Please apply, or know someone who might be? Drop me a DM
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
- Category:
- Engineer, Staff, Engineering
