Senior Machine Learning Engineer
Our mission is to protect and save lives by delivering innovative health and security solutions worldwide.
Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure/GCP, vector stores, SQL, Kubernetes, and Git. You will build production-grade generative and agentic AI solutions—RAG pipelines, multi-step agents, and predictive models—for the company’s product platform.
Free Tailor for ATS: 10/10 runs left
About the role
We are looking for an experienced Senior Machine Learning Engineer to join our Product team, in Chiswick, West London,
You will be responsible for building production-grade AI capabilities across the platform’s generative and agentic paradigms – from retrieval-augmented knowledge assistants and context-aware responses to multi-step agent workflows. The role combines strong machine learning and software engineering skills to deliver grounded, governed, and scalable solutions that move from Lab prototype to Factory production.
This is an excellent opportunity for an experienced engineer, looking for their next move in a global organization.
Key responsibilities
Design and implement ML, generative, and agentic AI solutions — RAG pipelines, prompt workflows, tool-calling agents, and predictive models
Build grounded retrieval over enterprise knowledge with source citation and tenant isolation
Integrate models via the model gateway, applying guardrails, PII redaction, and content safety on every request
Develop and maintain agent orchestration, memory, and human-in-the-loop escalation paths
Perform data preprocessing, feature engineering, prompt design, and evaluation using enterprise datasets
Deploy solutions through MLOps/LLMOps pipelines with monitoring, evaluations, and SLAs
Optimise models and prompts for accuracy, latency, cost, and groundedness
Run experiments, track metrics against golden sets, and iterate to improve quality
Collaborate with AIOps and Security to integrate solutions into CI/CD and production monitoring
Support responsible-AI practices, model cards, and version control for every release
About you
6+ years in AI/ML engineering or applied machine learning
Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG
Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores
Proficiency in SQL and working with data warehouses/lakes and embeddings
Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD
Understanding of prompt engineering, evaluation harnesses, and guardrails
Strong grasp of ML theory, software engineering practices, and version control (Git)
Benefits
Competitive salary and incentive scheme
Warm, supportive, and open company culture
An opportunity to thrive in a global environment
Hybrid working: 3 days in the office
Birthday holiday and option to purchase additional annual leave
Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more