Senior AI/ML Engineer

Bupa; Deutschland; Remote; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

25 days holiday

Health insurance

Enhanced pension plan

Annual bonus

Onsite gyms

Online discounts

Zusammenfassung

Bupa is seeking a Senior AI/ML Engineer to bridge experimentation and production, ensuring scalable, secure AI aligned with business goals. You will design end-to-end AI/ML solutions, build MLOps frameworks, and lead governance while delivering cutting-edge Generative and Agentic AI capabilities such as RAG and LLM orchestration.

You will work with LangChain, LangGraph, LlamaIndex and cloud platforms like Azure and GCP, mentoring teammates and promoting high engineering standards in an Agile

Qualifikationen

• Proven expertise designing, building and deploying AI/ML from concept to production.
• Deep understanding of Generative and Agentic AI concepts, including RAG and embeddings.
• Hands-on with LangChain, LangGraph, LlamaIndex and related tools.
• Experience deploying AI on Azure, GCP or Snowflake platforms.

Aufgaben

• Collaborate with product and business teams to identify high-value AI opportunities.
• Design and deliver end-to-end AI/ML solutions from data prep to deployment and monitoring.
• Build robust MLOps frameworks, governance and best practices.
• Develop Generative and Agentic AI solutions including RAG, embeddings and LLM orchestration.
• Mentor junior colleagues and promote engineering standards within Agile teams.

Kenntnisse

MLOps

Generative AI

Agentic AI

RAG architectures

Embeddings & vector search

LLM orchestration

LangChain / LangGraph

Python

CI/CD pipelines

Cloud platforms (Azure/GCP/Snowflake)

APIs integration

Ausbildung

Bachelor's degree in CS/Math/Statistics

Master's degree in Data Science or related field

Tools

LangChain

LangGraph

LlamaIndex

CrewAI

Autogen

Google ADK

Azure DevOps

Docker

Kubernetes

Jobbeschreibung

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.

Responsibilities

• 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.

We're looking for someone who combines strong technical expertise with excellent stakeholder engagement skills and a passion for driving innovation. Proven experience designing, building and deploying AI/ML solutions from concept through to production.

Qualifications

• 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 qualifications

• 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

• 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.

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.

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