16 hours ago
London, United KingdomSenior
Responsibilities
- Collaborate with product leaders, business analysts, and subject matter experts to identify and shape high-value AI opportunities.
- Design and deliver AI and machine learning solutions from data preparation and model development through deployment and monitoring.
- Build and maintain MLOps frameworks, governance processes, engineering standards, and operational best practices.
- Develop generative AI and agentic AI solutions including RAG architectures, semantic search, AI agents, multi-agent workflows, and LLM orchestration.
- Deploy AI solutions across Azure, Google Cloud Platform, and Snowflake.
- Embed responsible AI principles, evaluation frameworks, safety controls, data security, and assurance mechanisms throughout the AI lifecycle.
- Integrate external AI services and APIs into enterprise applications.
- Act as an AI ambassador, coach and mentor junior colleagues, and support capability development across the team.
- Work within Agile delivery teams and promote quality assurance and coding best practices.
Requirements
- Proven experience designing, building, and deploying AI/ML solutions from concept through production.
- Strong experience implementing MLOps strategies, frameworks, and operational practices.
- Deep understanding of generative AI and agentic AI, including RAG, embeddings, vector search, evaluation frameworks, and LLM orchestration.
- Hands-on experience with modern AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, Autogen, and Google ADK.
- Experience with Azure AI Foundry, Azure AI Studio, AKS, Google Vertex AI, Cloud Run, Snowflake Cortex AI, and Snowpark.
- Strong software engineering skills with Python, GitHub Actions, Azure DevOps, Docker, and Kubernetes.
- Experience working with APIs and integrating external AI services.
- Ability to engage and influence technical and non-technical stakeholders and build strong relationships.
- Experience mentoring and developing colleagues.
- Bachelor’s degree in Computer Science, Mathematics, Statistics, or another quantitative discipline is desirable; a related master’s degree is also desirable.
- Experience in healthcare, insurance, or another highly regulated industry is desirable.
Benefits
- Hybrid working with flexible options and three days working from home.
- Permanent, full-time position based at Angel Court in London, Bupa Place in Salford, or Willow House in Staines.
- 25 days of holiday, increasing with length of service, with the option to buy or sell holiday.
- Bupa health insurance as a benefit in kind.
- Enhanced pension plan and life insurance.
- Annual performance-based bonus.
- Onsite gyms or local gym discounts where no onsite gym is available.
- Family-friendly benefits, wellbeing support through the Viva programme, and other online discounts.
Tech Stack
Categories
About Bupa
Bupa is an international healthcare company that provides health insurance and delivers care through clinics, dental centers, hospitals, and aged-care services for consumers and employers. Founded in 1947 and headquartered in London, it operates across markets including the UK, Australia, Spain, Chile, Poland, and Hong Kong. Structured as a company limited by guarantee with no shareholders, it reinvests profits into healthcare services.