Staff ML Engineer | Agentic AI & Applied ML | London | |

WeDoTech; Greater London; On-site; GBP 148,000 - 221,000; Full time

Job summary

Agentic AI & Applied ML in London is seeking a Staff ML Engineer to drive production-grade AI/ML systems and adoption of agentic AI across engineering teams. The role focuses on robust architectures, governance and scalable deployment in a hybrid London environment.

You will influence senior engineers, define standards, and enable capable AI/ML solutions to operate safely in production while leveraging LangChain/LangGraph and retrieval frameworks.

Qualifications

• Experience designing robust AI/ML systems for production.
• Strong software engineering fundamentals with Python.
• Production-grade ML deployment and monitoring experience.

Responsibilities

• Design production-grade AI/ML systems with robust architectures.
• Drive adoption of Agentic AI across multiple engineering teams.
• Define reusable engineering standards and implementation patterns.
• Design and evolve production RAG and retrieval architectures.
• Establish LangGraph patterns for agentic apps.
• Improve AI evaluation, testing, observability and production monitoring.
• Develop guardrails and controls for hallucination and model risk.
• Support high-risk AI/ML use cases and complex deployments.
• Establish best practice across MLOps, CI/CD and deployment.
• Influence senior engineers and stakeholders without direct line management.
• Help teams use AI-assisted development tools in workflows.

Skills

Python

Production ML

AWS

Agentic AI

RAG

LangChain/LangGraph

Vector databases

MLOps

AI observability

Model risk controls

PyTorch

TensorFlow

Job description

Staff ML Engineer | Agentic AI & Applied ML | London (3 days per week on-site) | Contract | Inside IR35

We’re supporting a global technology-driven organisation that’s scaling advanced AI capability across its UK engineering function.

The organisation has already invested heavily in enterprise AI platforms and Agentic AI frameworks. The next challenge is moving beyond individual use cases: driving adoption across engineering teams, establishing common engineering patterns and enabling increasingly complex AI and ML solutions to operate safely and reliably in production.

This is a senior hands‑on Staff Engineer position with significant influence over the technical direction of AI Engineering across the organisation.

You’ll be responsible for:

• Designing robust, production‑grade AI and ML systems
• Driving adoption of Agentic AI across multiple engineering teams
• Defining reusable engineering standards, architectures and implementation patterns
• Designing and evolving production RAG and retrieval architectures
• Establishing effective LangGraph/LangChain patterns for agentic applications
• Improving AI evaluation, testing, observability and production monitoring
• Developing guardrails, controls and approaches to hallucination and model risk
• Supporting the move towards increasingly high‑risk and high‑complexity AI/ML use cases
• Establishing best practice across MLOps, CI/CD and deployment
• Influencing senior engineers and technical stakeholders without direct line management
• Helping engineering teams use AI‑assisted development tools effectively within their workflows

We’re looking for deep experience across:

• Python and strong software engineering fundamentals
• Production Machine Learning / AI engineering
• AWS
• Agentic AI and LLM‑based applications
• Retrieval Augmented Generation (RAG)
• LangChain and/or LangGraph
• Vector databases and retrieval
• MLOps and production deployment
• AI evaluation, testing and observability
• AI governance, model risk and engineering controls
• ML frameworks such as PyTorch, TensorFlow or Scikit‑learn

Experience operating in complex, regulated or high‑risk environments would be particularly valuable.

More important than any individual technology is the ability to take sophisticated AI/ML use cases from concept into production, make sound engineering decisions and raise engineering standards across multiple teams.

You’ll also be joining an engineering environment actively adopting AI‑assisted development tooling, including Claude, so we’re particularly interested in engineers who are already using AI to improve their own software engineering workflows.

Contract

£800–1,200 per day inclusive

Initial 6‑month contract with a long‑term programme roadmap

Inside IR35

London – 3 days per week on‑site