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# AI & ML Engineer

- **Company:** Charlotte Tilbury
- **Location:** London, United Kingdom
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Computing, Continuous Delivery, Continuous Integration, Identity and Access Management, Python (Programming Language), Machine Learning, Recommender Systems, Azure Machine Learning, Search Technologies, Retrieval-Augmented Generation, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Generative AI, Fastapi, LangSmith, Information Technology, RAGAS (Retrieval Augmented Generation Assessment), Machine Learning Operations, Api Design, Model Registry, Terraform, Network Server, Microservices
- **Published:** November 2, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ai-ml-engineer/54831772

## About the Role

The role requires a blend of technical depth and product sense, including
Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred).

Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native AI/ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks (e.g. LangChain, LangGraph, ADK).

Solid understanding of MLOps - CI/CD, IaC (Terraform), experiment tracking, model registry, and monitoring.

Proven experience deploying and operating ML systems in production (batch and real-time).

Familiarity with RAG architectures, prompt engineering, guardrails and evaluation techniques.

Previous experience developing agentic capabilities, such as agent skills, MCP servers, tool usage.

Strong grasp of security, privacy, and governance principles (IAM, secrets, PII handling).

Effective communication skills and ability to work with both technical and non-technical stakeholders.

An interest in evaluating new AI technologies and contributing to technical discussions around build, buy or configure decisions.

Bachelor's or Master's degree in Computer Science/Engineering/related field, or demonstrable relevant experience.

In addition to the above, we would LOVE if you have
Knowledge of vector databases and retrieval strategies.

Experience with recommender systems and ranking models.

Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize).

A working understanding of cloud networking and platform infrastructure.

Experience in e-commerce or retail environments.

## Description

The AI & ML Engineering team accelerates the adoption of AI across the business, championing innovation while ensuring our machine learning solutions are robust, scalable, and cost-efficient. We enable teams to solve problems using existing AI tools where possible and build custom solutions when needed. Our remit spans AI enablement, agentic systems development, and "conventional" ML engineering for non-GenAI applications e.g. recommender systems, forecasting models, and more.
We're looking for an AI & ML Engineer who is passionate about building production-ready AI and machine learning solutions. You'll work across a variety of AI initiatives, contributing to the design, implementation and deployment of scalable AI systems.
You will be expected to deliver high-quality AI/ML solutions across the full development lifecycle, from proof of concept through to production and ongoing optimisation. Working closely with other engineers and stakeholders across the business, you'll contribute to building reusable platforms, services and best practices while continuously developing your technical expertise.
This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross-functional projects alongside colleagues from Technology, Data and Product.
As a AI & ML Engineer you will
The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include
Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack.

Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or econometric modelling approaches).

Developing APIs and microservices for AI/ML solutions, ensuring security, scalability, and observability.

Implementing CI/CD for ML services, writing infrastructure as code, and monitoring for model/data drift and performance.

Establishing robust guardrails for safe AI usage, including prompt security, practical evaluation frameworks, and compliance with privacy regulations.

Contributing to reusable components, documentation and engineering best practices that improve AI/ML delivery across the organisation.

Collaborating with data engineers, data scientists, front & back-end engineers, product managers to deliver impactful solutions.

Supporting the evaluation of new AI technologies, frameworks and tooling, contributing ideas and recommendations for continuous improvement.

Who you will work with
Reporting to the Lead AI & ML Engineer + Data and AI Team