Mayo Clinic Healthcare London is a leading healthcare provider renowned for its patient-centric approach. They are seeking a Senior AI/ML Engineer to design and implement advanced AI solutions within their Finance Shared Services, focusing on multi-agent systems and intelligent document processing.
Responsibilities:
- Lead design and implementation of high-complexity agentic and LLM-enabled solutions, including UiPath Maestro-based orchestration and multi-agent systems
- Build and deploy advanced ML, LLM, and agentic components end-to-end, with production-grade reliability and observability
- Define evaluation, monitoring, and responsible AI practices for pillar solutions, aligned to Mayo Clinic standards
- Partner with the Solution Architect on architecture, reuse, and standards, and with delivery teams on implementation
- Mentor AI/ML Engineers across the pillar and support their growth
- Represent Finance Shared Services in cross-pillar AI practice forums; share patterns with Revenue Cycle and IA Enablement
- Evaluate emerging AI capabilities and drive adoption decisions for the pillar
Requirements:
- A master's degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience
- A bachelor's degree with 6 years of experience
- Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology
- Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes
- Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders
- Demonstrated expertise in cloud infrastructure environment and software development tools
- Experience working with large, complex, and heterogeneous data sets, preferably in healthcare
- Skilled in AI/ML techniques and frameworks
- Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities
- Demonstrated initiative in administration, education, software development, and technical reporting
- A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills
- Strong proficiency in Python and modern ML/AI libraries (PyTorch or TensorFlow, LangChain or LangGraph, scikit-learn)
- Experience with UiPath Maestro, AI Center, Document Understanding, Communications Mining, or comparable automation AI tooling
- Experience with Azure, GCP or another major cloud platform for AI workloads, including MLOps tooling
- Experience mentoring engineers and shaping technical practice
- Relevant AI certifications (Azure AI Engineer, AWS ML Specialty, etc.)