Senior AI/ML Engineer

Bupa

Senior AI/ML Engineer developing and operationalising Generative AI and Machine Learning solutions for Bupa’s healthcare and insurance business. Bridging experimentation and enterprise production across cloud platforms.

Posted 9/11/2026full-timeLondon • 🇬🇧 United KingdomSenior💰 £48,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing, building, and deploying AI and Machine Learning solutions, with a strong focus on MLOps frameworks and responsible AI principles. Proficient in integrating AI services and APIs while ensuring compliance with regulatory standards in highly regulated industries.

Highest-signal resume keywords

AI/ML Solution Design and DeploymentMLOps Strategies and FrameworksGenerative AI and Agentic AI ExpertiseSoftware Engineering Skills in PythonAgile Delivery Methodologies

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI/ML Solution DevelopmentMLOps ImplementationGenerative AI ConceptsPython ProgrammingCI/CD PipelinesAPI IntegrationData PreparationModel DevelopmentDeployment and MonitoringEvaluation Frameworks

Soft Skills

Stakeholder EngagementCoaching and MentoringCollaborationInfluencing SkillsRelationship Building

Tools & Technologies

LangChainLangGraphLlamaIndexGoogle ADKAzure AI FoundryAzure DevOpsDockerKubernetesSnowflakeGoogle Vertex AI

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data Science

Industry Keywords

HealthcareInsuranceRegulatory ComplianceData SecurityGovernance

Tech Stack

Tools & technologies

AzureCloudDockerGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Collaborate with product leaders, business analysts and subject matter experts to identify and shape high-value AI opportunities
Design and deliver end-to-end AI and Machine Learning solutions, from data preparation and model development through to deployment and monitoring
Build and maintain robust MLOps frameworks, governance processes and engineering best practices
Develop Generative AI and Agentic AI solutions, including RAG, semantic search, AI agents, multi-agent workflows and LLM orchestration frameworks
Work with LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools
Deploy AI solutions across Azure, GCP and Snowflake
Embed responsible AI principles, evaluation frameworks, safety controls and assurance mechanisms throughout the AI lifecycle
Integrate external AI services and APIs into enterprise applications
Act as an AI ambassador within the business
Coach and mentor junior colleagues and support capability development
Promote engineering standards, quality assurance and coding best practice
Work within Agile delivery teams where appropriate
Ensure compliance with regulatory requirements and maintain high standards of data security and governance

Requirements

What you’ll need

Proven experience designing, building and deploying AI/ML solutions from concept through to production
Strong experience implementing MLOps strategies, frameworks and operational best practices
Deep understanding of Generative AI and Agentic AI concepts, including RAG architectures, embeddings and vector search, evaluation frameworks, and LLM orchestration
Hands-on experience with LangChain, LangGraph, LlamaIndex, CrewAI, Autogen, Google ADK, or similar modern AI frameworks
Experience developing and deploying AI solutions on Azure AI Foundry, Azure AI Studio, AKS, Google Vertex AI, Cloud Run, Snowflake Cortex AI, or Snowpark
Strong software engineering skills including Python, CI/CD pipelines, GitHub Actions, Azure DevOps, Docker, and Kubernetes
Experience working with APIs and integrating external AI services
Ability to engage, influence and build relationships with technical and non-technical stakeholders
Experience mentoring and developing colleagues
Familiarity with Agile delivery methodologies and tools such as Azure DevOps
Experience working within healthcare, insurance or other highly regulated industries is desirable
Bachelor's degree in Computer Science, Mathematics, Statistics or another quantitative discipline is desirable
Master's degree in Data Science, Statistics, Epidemiology or a related field is desirable

Benefits

Comp & perks

25 days holiday, increasing through length of service, with option to buy or sell
Bupa health insurance as a benefit in kind
An enhanced pension plan and life insurance
Annual performance-based bonus
Onsite gyms or local discounts where no onsite gym available
Various other benefits and online discounts
Flexible working
Family friendly benefits
Viva global wellbeing programme covering mental, physical, financial, social, and environmental wellbeing