Senior Machine Learning Engineer
Role overview
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.
Responsibilities
- check_circle Design and implement ML, generative, and agentic AI solutions — RAG pipelines, prompt workflows, tool-calling agents, and predictive models
- check_circle Build grounded retrieval over enterprise knowledge with source citation and tenant isolation
- check_circle Integrate models via the model gateway, applying guardrails, PII redaction, and content safety on every request
- check_circle Develop and maintain agent orchestration, memory, and human-in-the-loop escalation paths
- check_circle Perform data preprocessing, feature engineering, prompt design, and evaluation using enterprise datasets
- check_circle Deploy solutions through MLOps/LLMOps pipelines with monitoring, evaluations, and SLAs
- check_circle Optimise models and prompts for accuracy, latency, cost, and groundedness
- check_circle Run experiments, track metrics against golden sets, and iterate to improve quality
- check_circle Collaborate with AIOps and Security to integrate solutions into CI/CD and production monitoring
- check_circle Support responsible-AI practices, model cards, and version control for every release
Benefits
- check_circle Competitive salary and incentive scheme
- check_circle Warm, supportive, and open company culture
- check_circle An opportunity to thrive in a global environment
- check_circle Hybrid working: 3 days in the office
- check_circle Birthday holiday and option to purchase additional annual leave
- check_circle Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more
About the company
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)
Tags & Focus Areas
About International SOS
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