Senior Applied AI Scientist: Generative & Agentic Lead

AXIS (AXIS Capital); Greater London; On-site; GBP 93,047 - 148,876; Full time

Benefits offered by this job

Comprehensive benefits

Medical plans

Retirement plans

Tuition reimbursement

Job summary

AXIS Capital in London is seeking a Lead Applied Scientist to advance AI and analytics across our data delivery teams, shaping how problems are framed and solutions are evaluated. You will drive the design of generative and agentic AI work, ensure rigorous model validation, and mentor scientists while delivering production‑ready code and scalable architectures.

This role requires a deep mathematical background, experience with large language models and responsible AI, and the ability to

Qualifications

• Strong, hands-on expertise with large language models and generative AI, including prompting, RAG, fine tuning, and agentic systems.
• Strong programming ability in Python and fluency with AI/data science tooling (pandas, NumPy, scikit-learn).
• Strong mathematical/statistical foundations: probability, statistics, linear algebra, optimization.
• Solid grounding in machine learning, model validation, and experimental design.
• Experience designing evaluation/validation frameworks for AI systems and measuring quality of LLM/RAG/agent outputs.
• Track record building AI solutions from prototype to production.
• Experience with Databricks, MLflow and Spark.
• Working knowledge of responsible AI methods: bias, fairness, explainability, governance.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Track record setting technical standards and mentoring others.

Responsibilities

• Lead the design and development of AI/ML solutions and frame business problems for measurement and success.
• Lead design of generative and agentic AI solutions, including prompting and tool use for multi-step workflows.
• Choose approaches using LLMs/agentic AI and advanced ML methods as appropriate.
• Own evaluation/accuracy methodology, including metrics, test sets, and production monitoring.
• Lead responsible AI initiatives: bias testing, explainability, and governance alignment.
• Solve challenging problems like extracting information from unstructured documents and automating expert workflows.
• Own scientific design decisions and collaborate with engineering on architecture/deployment.
• Write production-quality code and deliver scalable solutions.
• Set standards for experimentation, coding, and documentation; mentor others.
• Communicate methods, results, and trade-offs to business stakeholders.

Skills

Large language models

Generative AI

Python

Databricks

MLflow

Spark

Pandas

NumPy

scikit-learn

Tools

Databricks

MLflow

Spark

Pandas

NumPy

scikit-learn

Job description

AXIS Capital in London is seeking a Lead Applied Scientist to advance AI and analytics across our data delivery teams, shaping how problems are framed and solutions are evaluated. You will drive the design of generative and agentic AI work, ensure rigorous model validation, and mentor scientists while delivering production‑ready code and scalable architectures.

This role requires a deep mathematical background, experience with large language models and responsible AI, and the ability to