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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𝟭. 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
𝟮. 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
𝟯. 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