At a Glance
- Tasks: Lead the design and implementation of AI solutions on Azure for the insurance sector.
- Company: Dynamic tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team and drive impactful projects in a fast-paced environment.
- Why this job: Shape the future of AI in insurance while working with cutting-edge technology.
- Qualifications: Extensive experience in AI, insurance domain knowledge, and strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Lead AI/ML Consultant London, UK, 12 month Fixed term contract Up to 85,000pa Hybrid - 3 days office We are seeking a highly experienced AI Consultant to design, implement, and drive enterprise-grade AI solutions on the Azure platform Microsoft AI Foundry.
This role combines hands-on experience, solution architecture, and technical leadership, with responsibility for guiding teams and proactively supporting multiple accounts and initiatives.
The candidate needs to have deep insurance domain knowledge, a strong grip on modern AI architecture patterns, and the communication skills to operate comfortably in both technical and domain jargons.
Key Responsibilities Deep understanding of the insurance domain: underwriting, policy administration, claims, reinsurance, and distribution.
Ability to speak credibly to business stakeholders about business impact without needing a translator Familiarity with insurance data types: structured (policy, claims, exposure) and unstructured (loss reports, survey documents, correspondence).
Experience applying Responsible AI frameworks in practice: bias assessment, fairness metrics, explainability techniques and model cards.
Demonstrable hands-on experience with Microsoft Azure AI Foundry: project setup, model catalogue, evaluation frameworks, and deployment pipelines.
Proficiency with Azure Open AI Service: GPT model deployment, fine-tuning, content filtering, and toke...
