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Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Lead the planning, execution, and delivery of multiple AI initiatives, ensuring projects meet scope, timelines, quality expectations, and business objectives
- Mentor and support AI Engineers by setting clear direction, providing coaching, and building a high-performing project team
- Partner with stakeholders across product, science, clinical, operations, and engineering to define requirements, priorities, milestones, risks, and success metrics
- Translate stakeholder needs into technical roadmaps, delivery plans, and resourcing strategies for AI-powered products and platforms
- Guide solution design, software development, model integration, testing, deployment, and operational support across the AI project portfolio
- Drive strong AI research and engineering practices across the team
- Coordinate dependencies, remove blockers, and communicate project status, risks, and tradeoffs clearly to leadership and stakeholders
- Balance innovation and experimentation with execution discipline, scalability, reliability, and compliance considerations
- Contribute to hiring, onboarding, team planning, and continuous improvement of delivery processes and engineering standards
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
- 7+ years of experience in software engineering, AI engineering, machine learning, or related technical roles
- 2+ years of experience leading teams, technical programs, or cross-functional delivery efforts
- Demonstrated success delivering AI/ML or data-driven software solutions from concept through production
- Strong proficiency in Python and familiarity with modern AI/ML tooling, backend services, APIs, and data pipelines
- Experience with cloud-based architectures and production deployment of software or AI solutions
- Proven ability to work effectively with technical and non-technical stakeholders and drive alignment across competing priorities
- Strong people leadership, communication, planning, and problem-solving skills
- Commitment to high-quality, secure, scalable, and maintainable solutions
- Experience in healthcare, life sciences, biotech, or other regulated environments is a plus
- Familiarity with generative AI, LLM-enabled workflows, retrieval systems, or AI-assisted product capabilities is a plus
Benefits
Comp & perks- Competitive Compensation and Incentives
- Attractive Benefits (Pension, Private Health Coverage, Life Assurance & Salary Sacrifice Schemes)
- Flexible Time Off Policy
- Engaging Employee Programs
- Technology for Remote/Hybrid Working
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonAI engineeringmachine learningsoftware developmentmodel integrationtestingdeploymentdata pipelinescloud-based architecturesAI/ML tooling
Soft Skills
people leadershipcommunicationplanningproblem-solvingmentoringstakeholder managementproject managementteam buildinginnovationexecution discipline
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer Sciencedegree in Engineeringdegree in Data Science