Staff ML Engineer | Agentic AI & Applied ML

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

Job summary

WeDoTech in London is seeking a senior hands-on Staff Engineer to design and scale production AI/ML systems, driving adoption of Agentic AI across engineering teams and establishing reusable patterns. You will shape architectures for reliable AI delivery in regulated environments.

The role centers on robust RAG and retrieval architectures, LangGraph/LangChain patterns, monitoring, guardrails and governance, plus CI/CD and MLOps for high-complexity use cases.

Qualifications

• Deep experience with Python and strong software engineering fundamentals.
• Production ML/AI engineering experience.
• Experience with agentic AI and LLM-based applications.
• Experience with Retrieval Augmented Generation (RAG).
• Experience with LangChain and/or LangGraph.
• Experience with vector databases and retrieval.
• Experience with MLOps and production deployment.
• Experience with AI evaluation, testing and observability.
• Experience with AI governance, model risk and engineering controls.
• Experience with ML frameworks such as PyTorch, TensorFlow or Scikit-learn.
• Experience operating in complex, regulated or high-risk environments would be valuable.

Responsibilities

• Design robust, production-grade AI and ML systems.
• Drive adoption of Agentic AI across multiple engineering teams.
• Define reusable engineering standards, architectures and implementation patterns.
• Design and evolve production RAG and retrieval architectures.
• Establish effective LangGraph/LangChain patterns for agentic applications.
• Improve AI evaluation, testing, observability and production monitoring.
• Develop guardrails, controls and approaches to hallucination and model risk.
• Support the move towards high-risk and high-complexity AI/ML use cases.
• Establish best practice across MLOps, CI/CD and deployment.
• Influence senior engineers and technical stakeholders without direct line management.
• Help engineering teams use AI-assisted development tools effectively within their workflows.

Skills

Python

ML Engineering

Agentic AI

LLM Applications

RAG

LangChain/LangGraph

Vector Databases

MLOps

AI Evaluation & Observability

AI Governance & Risk

ML Frameworks (PyTorch/TF/Sklearn)

Tools

AWS

LangChain/LangGraph

CI/CD

Job description

Salary: £? - ? per year

Requirements:

• Deep experience with Python and strong software engineering fundamentals
• Production machine learning / AI engineering experience
• Experience with AWS
• Experience with agentic AI and LLM-based applications
• Experience with Retrieval Augmented Generation (RAG)
• Experience with LangChain and/or LangGraph
• Experience with vector databases and retrieval
• Experience with MLOps and production deployment
• Experience with AI evaluation, testing and observability
• Experience with AI governance, model risk and engineering controls
• Experience with ML frameworks such as PyTorch, TensorFlow or Scikit-learn
• Experience operating in complex, regulated or high-risk environments would be particularly valuable

Responsibilities:

• Design robust, production-grade AI and ML systems
• Drive adoption of Agentic AI across multiple engineering teams
• Define reusable engineering standards, architectures and implementation patterns
• Design and evolve production RAG and retrieval architectures
• Establish effective LangGraph/LangChain patterns for agentic applications
• Improve AI evaluation, testing, observability and production monitoring
• Develop guardrails, controls and approaches to hallucination and model risk
• Support the move towards increasingly high-risk and high-complexity AI/ML use cases
• Establish best practice across MLOps, CI/CD and deployment
• Influence senior engineers and technical stakeholders without direct line management
• Help engineering teams use AI-assisted development tools effectively within their workflows

Technologies:

• Agentic AI
• AI
• AWS
• CI/CD
• Support
• LLM
• Machine Learning
• MLOps
• PyTorch
• Python
• RAG
• TensorFlow
• Cloud

More:

We are a global technology-driven organisation scaling advanced AI capability across our UK engineering function. We have already invested heavily in enterprise AI platforms and Agentic AI frameworks, and we are now focused on 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 contract role based in London with 3 days per week on-site, an initial 6-month term, and a long-term programme roadmap. The contract is inside IR35 and offers a day rate of £800–1,200 inclusive. We are also actively adopting AI-assisted development tooling, including Claude, and are especially interested in engineers who are already using AI to improve their own software engineering workflows.