Senior AI/ML Engineer

Posted 9 Days Ago
Be an Early Applicant
3 Locations
In-Office
48K-48K Annually
Senior level
Healthtech
The Role
Develops and productionizes scalable AI and machine learning solutions, including Generative AI, Agentic AI, RAG, semantic search, and multi-agent workflows. Builds MLOps frameworks, deploys solutions across Azure, Google Cloud, and Snowflake, integrates external AI services, and ensures responsible AI, security, governance, and regulatory compliance. Partners with business stakeholders, mentors colleagues, promotes engineering standards, and drives initiatives from experimentation through enterprise-scale production.
Summary Generated by Built In

Job Description:

Job Title: Senior AI/ML Engineer

Job Grade: C15

Salary:  £48,200.00 DOE and location + Fantastic benefits
Location status: Hybrid (flexible working options available) 3 days WFH
Location: Bupa Place, Salford – Willow House, Staines – Angel Court, London

Permanent/fixed term contract: Permanent 
 

About the Role

We Make Health Happen

At Bupa, we're transforming the way we deliver healthcare and insurance through the power of Artificial Intelligence. We're looking for a Senior AI/ML Engineer to join our growing Applied AI team and play a pivotal role in developing, scaling and operationalising AI solutions that create real business value.

This is an exciting opportunity for an experienced AI professional who is passionate about Machine Learning, Generative AI and Agentic AI, and thrives on taking innovative ideas from concept through to enterprise-scale production.

You'll work at the forefront of AI innovation, partnering with stakeholders across Customer, Commercial, Operations and Healthcare Management functions to design and deploy intelligent solutions that improve experiences for our customers and colleagues.

What You'll Be Doing

As a Senior AI/ML Engineer, you'll be responsible for bridging the gap between experimentation and production, ensuring AI solutions are scalable, reliable, secure and aligned with business objectives.

Key responsibilities include:

  • Collaborating with product leaders, business analysts and subject matter experts to identify and shape high-value AI opportunities.
  • Designing and delivering end-to-end AI and Machine Learning solutions, from data preparation and model development through to deployment and monitoring.
  • Building and maintaining robust MLOps frameworks, governance processes and engineering best practices.
  • Developing cutting-edge Generative AI and Agentic AI solutions, including:
    • Retrieval-Augmented Generation (RAG)
    • Semantic search
    • AI agents and multi-agent workflows
    • LLM orchestration frameworks
  • Working with modern AI technologies such as LangGraph, Google ADK, Microsoft Agent Framework, LlamaIndex and similar tools.
  • Deploying AI solutions across cloud platforms including Azure, GCP and Snowflake.
  • Embedding responsible AI principles, evaluation frameworks, safety controls and assurance mechanisms throughout the AI lifecycle.
  • Integrating external AI services and APIs into enterprise applications.
  • Acting as an AI ambassador within the business, helping to build Bupa's reputation as a centre of AI excellence.
  • Coaching and mentoring junior colleagues and supporting capability development across the team.
  • Promoting engineering standards, quality assurance and coding best practice.
  • Working within Agile delivery teams where appropriate.
  • Ensuring compliance with regulatory requirements and maintaining the highest standards of data security and governance.

What We're Looking For

We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills and a passion for driving innovation.

Essential Experience

  • 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
    • LLM orchestration
  • Hands-on experience with frameworks such as:
    • LangChain
    • LangGraph
    • LlamaIndex
    • CrewAI
    • Autogen
    • Google ADK
    • Similar modern AI frameworks
  • Experience developing and deploying AI solutions on cloud platforms such as:
    • Azure AI Foundry, Azure AI Studio and AKS
    • Google Vertex AI and Cloud Run
    • Snowflake Cortex AI and Snowpark
  • Strong software engineering skills including:
    • Python
    • CI/CD pipelines
    • GitHub Actions
    • Azure DevOps
    • Docker
    • Kubernetes
  • Experience working with APIs and integrating external AI services.
  • Ability to engage, influence and build strong relationships with both technical and non-technical stakeholders.
  • Experience mentoring and developing colleagues.
  • Familiarity with Agile delivery methodologies and tools such as Azure DevOps.

Desirable

  • Bachelor's degree in Computer Science, Mathematics, Statistics or another quantitative discipline.
  • Master's degree in Data Science, Statistics, Epidemiology or a related field.
  • Experience working within healthcare, insurance or other highly regulated industries.

About You

You'll be someone who:

  • Can independently drive initiatives from idea to delivery.
  • Makes pragmatic decisions balancing innovation, scalability and cost.
  • Takes ownership of outcomes and proactively manages risks and dependencies.
  • Communicates complex technical concepts clearly to a wide range of audiences.
  • Is passionate about advancing the responsible use of AI.
  • Enjoys mentoring others and helping create a culture of continuous learning and improvement.

 

Benefits

Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social, and environmental wellbeing. We support flexible working and have a range of family friendly benefits.

Joining Bupa in this role you will receive the following benefits and more:

• 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

Why Bupa?

We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do.

We encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve.  That’s why we especially encourage applications from people with diverse backgrounds and experiences.

Bupa is a Level 2 Disability Confident Employer. This means we aim to offer an interview/assessment to every disabled applicant who meets the minimum criteria for the role. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them. 

Time Type:

Full time

Job Area:

IT

Locations:

Angel Court, London, Bupa Place, Staines - Willow House

Skills Required

  • Proven experience designing, building, and deploying AI/ML solutions from concept through production
  • Strong experience implementing MLOps strategies, frameworks, and operational best practices
  • Deep understanding of Generative AI and Agentic AI, including RAG architectures, embeddings, vector search, evaluation frameworks, and LLM orchestration
  • Hands-on experience with modern AI frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, Autogen, or Google ADK
  • Experience developing and deploying AI solutions using Azure AI Foundry, Azure AI Studio, AKS, Google Vertex AI, Cloud Run, Snowflake Cortex AI, or Snowpark
  • Strong software engineering skills in Python, CI/CD, 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 Azure DevOps
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or another quantitative discipline
  • Master's degree in Data Science, Statistics, Epidemiology, or a related field
  • Experience in healthcare, insurance, or another highly regulated industry

Bupa Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bupa and has not been reviewed or approved by Bupa.

  • Healthcare Strength Health cover via the UK Health Trust, day‑one medical support for frontline roles, and dedicated women’s health initiatives indicate a robust, health‑centric package. Access to digital GP, nurse lines, and options such as dental and health cash plans further reinforce medical and preventive care breadth.
  • Wellbeing & Lifestyle Benefits Wellbeing programs span mental, physical, emotional, and financial support, with offerings like EAP access, gym discounts, and health assessments. Flexible work and wellbeing programs highlighted in some regions add to lifestyle value.
  • Parental & Family Support Policies include enhanced parental leave in certain UK business units and a family mental‑health support line. Options to extend medical coverage to dependants and family‑oriented allowances strengthen support beyond the individual.

Bupa Insights

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The Company
HQ: London
23,800 Employees
Year Founded: 1947

What We Do

Bupa's purpose is helping people live longer, healthier, happier lives and making a better world. We are an international healthcare company serving over 38 million customers worldwide. With no shareholders, we reinvest profits into providing more and better healthcare for the benefit of current and future customers. We directly employ around 85,000 people, principally in the UK, Australia, Spain, Chile, Poland, New Zealand, Hong Kong SAR, Türkiye, Brazil, Mexico, the US, Middle East and Ireland. We also have associate businesses in Saudi Arabia and India. For more information, visit www.bupa.com

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