Data Science & AI Delivery Lead

Salary: £57,000 - 97,000 per year

Requirements:

• Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production.
• Strong technical knowledge, including proficiency in Python and experience with core data science and ML libraries such as scikit-learn, pandas, PyTorch, or TensorFlow.
• Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing.
• Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search.
• A solid understanding of MLOps principles, including CI/CD for models, automated testing, and monitoring of deployed solutions.
• Cloud platform experience, preferably Azure, including services such as Azure OpenAI, Azure Machine Learning, or Azure AI Search.
• Experience managing or leading technical delivery teams, with a track record of fostering a positive, high-performing team culture.
• Excellent communication skills and the ability to translate complex technical concepts for business stakeholders.
• Strong project management skills, including resource estimation, progress tracking, and meeting deadlines in a fast-paced, multi-priority environment.
• A proactive, problem-solving mindset with the ability to operate independently and step up into a leadership vacuum when needed.

Responsibilities:

• We own the day-to-day execution and coordination of data science and AI delivery across strategic projects and standalone use cases.
• We act as the primary point of escalation when the Head of Data Science & AI Delivery is unavailable.
• We directly manage the design, build, test, and deployment of AI solutions across multiple concurrent projects, ensuring quality and timely delivery.
• We provide technical guidance on solution design, model selection, and architecture decisions.
• We review code and technical outputs to maintain quality standards and contribute hands-on to Python-based development when needed.
• We support the design and delivery of Generative AI solutions, including RAG architectures, prompt engineering, and integration with Azure AI services such as Azure OpenAI and Azure AI Search.
• We ensure robust MLOps practices are followed, including model versioning, testing, deployment pipelines, and monitoring of deployed solutions for performance and drift.
• We champion engineering best practices across the team, including code review standards, documentation, version control, and a clear separation between experimentation and production-ready code.
• We work closely with Business Technology Solutions for solution architecture and delivery, and with the Program Office for planning deliveries, timelines, cost estimates, and status updates.
• We partner with Data Engineering to ensure data pipelines and lakehouse structures support AI delivery needs.
• We support the Head of Data Science & AI Delivery in leading and developing a growing team of Data Scientists and AI Engineers.
• We mentor and coach team members through hands-on pairing, structured code reviews, and knowledge-sharing sessions on emerging techniques and tools.
• We support tracking the project pipeline, estimating costs, and managing resource allocation to ensure the team is effectively deployed against priorities.
• We stay current with the evolving AI landscape, bring new ideas to the team, and lead proof-of-concept development to assess feasibility and value.
• We represent the Head of Data Science & AI Delivery in meetings, steering groups, and stakeholder forums as required.
• We may take on additional duties, responsibilities, and activities appropriate to the nature of the role.

Technologies:

• AI
• Azure
• CI/CD
• Cloud
• Databricks
• Support
• Machine Learning
• MLflow
• MLOps
• PyTorch
• Python
• RAG
• Spark
• TensorFlow
• pandas
• API
• Fine-tuning
• Git
• Network

More:

We are AXIS Capital, a trusted global provider of specialty lines insurance and reinsurance with an entrepreneurial, disciplined, and ethical culture. We value outstanding client service, intelligent risk taking, and superior risk-adjusted returns for our shareholders. We foster an inclusive and welcoming environment where employees can bring their whole selves to work. This role is based in London - Scalpel, Halifax, NS, or New York, NY, with a requirement to attend the local office at least three days per week and engage in company activities to build relationships and strengthen team culture. We offer a competitive salary, target incentive compensation, and a comprehensive benefits package including medical plans, wellness programs, retirement plans, tuition reimbursement, paid vacation, and more.

last updated 37 week of 2026