3 of 3 Permanent Prompt Engineering Jobs in Midlothian

Senior AI Engineer Manager/Associate Director Capital Markets

Hiring Organisation
Datatech Analytics
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent
Engineer Manager/Associate Director | Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13115 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit … experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will ...

AI Engineer - Financial Service Consulting

Hiring Organisation
Datatech Analytics
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent
workflows using large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. Develop scalable backend services and AI integrations, working closely with engineering, architecture and business teams, and support deployment, governance and operational rollout so solutions land production-ready and compliant. What we're looking for Strong … foundations in software or data engineering with hands-on experience delivering AI or AI-enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/ ...

AI Solution Architect - Financial Services Consulting

Hiring Organisation
Datatech Analytics
Location
Edinburgh, Midlothian, Scotland, United Kingdom
Employment Type
Permanent, Work From Home
generation (RAG), embeddings and semantic search. Lead on deployment, governance and integration patterns, advise clients on platform capability and implementation strategy, and partner with engineering, data, DevOps and business teams to deliver end-to-end solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/ ...