Associate AI/ML Engineer- Post Deployment Governance

Mayo Clinic Healthcare London is seeking an Associate AI/ML Engineer to support enterprise clinical AI governance after deployment. The role focuses on preparing evidence and lineage maps, reviewing monitoring and reporting readiness, identifying evidence gaps, drafting review materials, and coordinating lifecycle governance activities across clinical and operational AI products.

What you'll do:

• Preparing and maintaining product evidence and lineage maps that connect monitoring signals, metrics, source systems, owners, cadence, collection methods, product and model versions, limitations, PDM and PDRS domains, actions, and reporting handoffs
• Supporting monitoring and reporting readiness reviews for full implementation, recurring PDRS, post-deployment changes, and legacy products by applying approved templates, checklists, rubrics, evidence requirements, and readiness criteria
• Performing completeness and traceability checks for sources, owners, cadence, versions, limitations, baselines, targets, thresholds, conditions, actions, and transition information; identifying missing, inconsistent, or unsupported evidence for assigned reviewers
• Reviewing PDM and PDRS content and drafting factual corrections, clarification questions, evidence-gap and limitation summaries, standard AVM comments, and monitoring-readiness findings
• Organizing PDRS review packages, evidence references, owner and source matrices, action and condition trackers, follow-up records, ownership verification, lifecycle handoff materials, and transition plans
• Supporting post-deployment change and legacy-product reviews by tracing version, metric, baseline, threshold, monitoring-continuity, reporting-cadence, evidence-gap, and interim-control impacts for Engineer or Principal review
• Coordinating evidence and status information with Product Leads, product and operational owners, data and platform partners, vendors, and other stakeholders; escalating substantive interpretation, unresolved risk, or complex PDM and PDRS questions

What they're looking for:

• * A bachelor's degree in engineering, computer science, health science, or a related field
• * Knowledge in applying AI and machine learning in production environments, showcasing an understanding of healthcare technology
• * Knowledge in cloud infrastructure environment and software development tools
• * Skill in AI/ML techniques and frameworks
• * Skill in collaborating across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders
• * Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities
• * Strong interpersonal, communication, and time management skills
• This is a hybrid position and must be located within 100 miles of a Mayo Clinic campus for occasional on-site expectations based on business needs
• **This vacancy is not eligible for sponsorship/ we will not sponsor or transfer visas for this position. Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.**
• * Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards
• * Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios
• * Experience in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice

Benefits:

• Medical: Multiple plan options.
• Dental: Delta Dental or reimbursement account for flexible coverage.
• Vision: Affordable plan with national network.
• Pre-Tax Savings: HSA and FSAs for eligible expenses.
• Retirement: Competitive retirement package to secure your future.
• Continuing education and advancement opportunities.
• Flexibility of both remote and on-site work.