At a Glance
- Tasks: Design and implement cutting-edge AI solutions for a global platform.
- Company: Join a warm and supportive tech company in Chiswick, West London.
- Benefits: Competitive salary, hybrid working, and comprehensive benefits package.
- Other info: Opportunity for career growth and to thrive in a global setting.
- Why this job: Make a real impact with your machine learning skills in a dynamic environment.
- Qualifications: 6+ years in AI/ML engineering and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
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)
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.
Senior Machine Learning Engineer employer: International SOS group
At International SOS, we pride ourselves on being an award-winning employer that values empathy and collaboration. Our London team offers a supportive work culture with clear career progression opportunities and comprehensive benefits, including private healthcare and a paid volunteering day. Join us in making a global impact while working in a dynamic environment where your skills can truly make a difference.
