—
PRINCIPAL AI ENGINEER Up to £90,000 + BENEFITS SHEFFIELD (Hybrid) This is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one. THE ROLE: • Build and operate production‑ready AI agents on GCP • Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling. • Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy. • Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance. • Shape engineering standards, patterns and tooling as part of a new AI function. YOUR SKILLS AND EXPERIENCE: • Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. • Deep hands‑on expertise with GCP services • Strong Python skills • Practical experience with LLMs, embeddings, RAG architectures and vector databases. • A track record of building production‑grade AI systems, including observability, evaluation and automated testing. • DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling. THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits. HOW TO APPLY Please register your interest by sending your CV to Molly Bird via the apply link on this page.
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| Docker | llm_hard |
100%
|
| Kubernetes | llm_hard |
100%
|
| Large Language Models (LLMs) | llm_hard |
100%
|
| Text Processing | llm_hard |
100%
|
| RAG (Retrieval-Augmented Generation) | llm_hard |
100%
|
| Vector Databases | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Leadership | llm_soft |
100%
|
| Strategic Thinking | llm_soft |
100%
|
| Decision-Making | llm_soft |
100%
|
| Cross-Functional Communication | llm_soft |
80%
|
| Collaboration | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Principal AI Engineer | extracted | 4207 | 2026-03-22 02:49 | |
| Principal AI Engineer | classified | 465 | 2026-03-21 21:07 | |
| junior AI developer in United Kingdom | gb | duplicate | 9585 | 2026-03-21 17:07 |
| junior AI engineer in United Kingdom | gb | processed | 21364 | 2026-03-21 17:04 |
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"job_description": "PRINCIPAL AI ENGINEER\n\nUp to £90,000 + BENEFITS\n\nSHEFFIELD (Hybrid)\n\nThis is a standout opportunity to shape and scale an AI function from the ground up. You will drive the build of production‑grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency.\n\nTHE COMPANY:\n\nThey are a technology‑led insurance organisation. Their products are powered by a combination of smart technology and human expertise, enabling them to offer fast, tailored cover to customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best‑practice from day one.\n\nTHE ROLE:\n• Build and operate production‑ready AI agents on GCP\n• Design robust RAG pipelines covering ingestion, text processing, vector search and secure data handling.\n• Implement evaluation frameworks, monitoring, A/B testing and performance dashboards for latency, cost and accuracy.\n• Partner with product and operations teams to deploy AI capabilities into live environments and continually optimise performance.\n• Shape engineering standards, patterns and tooling as part of a new AI function.\n\nYOUR SKILLS AND EXPERIENCE:\n• Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery.\n• Deep hands‑on expertise with GCP services\n• Strong Python skills\n• Practical experience with LLMs, embeddings, RAG architectures and vector databases.\n• A track record of building production‑grade AI systems, including observability, evaluation and automated testing.\n• DevOps capability across CI/CD, Docker and Kubernetes or equivalent tooling.\n\nTHE BENEFITS:\n\nYou will receive a salary, dependent on experience. Salary is up to £90,000 On top of the salary there are some fantastic extra benefits.\n\nHOW TO APPLY\n\nPlease register your interest by sending your CV to Molly Bird via the apply link on this page.",
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