4 of 4 Permanent Prompt Engineering Jobs in Edinburgh

for senior business stakeholders, translating business needs into technical requirements. Manage and mentor a team of AI/ML engineers, fostering innovation and best engineering practices. Architect and implement scalable AI agent systems leveraging LLMs, RAG, reinforcement learning, and autonomous decision-making. Ensure seamless integration of AI agents with … enterprise applications and existing tech stacks. Drive experimentation, rapid prototyping, and iterative development of AI-driven solutions. Requirements Extensive experience in software engineering, including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like … AI infrastructure. Excellent stakeholder management and communication skills. Ability to work cross-functionally with product managers, engineers, and business leaders. Experience leading and mentoring engineering teams. Strong problem-solving and decision-making skills. Benefits 34 days holiday plus your birthday off (inclusive of bank holidays) Share options - we believe More ❯

fast, iterate, and make an impact. Key Responsibilities: Own end-to-end product features across frontend and backend Collaborate with design, product, and legal engineering to deliver polished, AI-native workflows Help architect and evolve our codebase for performance, scale, and developer experience Contribute to shaping engineering practices … its best practices-and you love helping define them. Bonus: Experience working on internal legal tools, legal ops software, or compliance platforms. Curiosity around prompt engineering, user intent modeling, or AI reasoning is also a plus. More ❯

centric MarTech demand generation experience preferably within an industrial global software company AI Tool Mastery Deep hands-on experience with LLMs (e.g., ChatGPT, Claude), prompt engineering, and generative content platforms. Data Orientation Comfort with SQL, Python or low-code/no-code ML for building and evaluating predictive More ❯

in Large-Scale AI Deployments – Has played a key role in production-ready AI applications Expertise in LLMs – Skilled in fine-tuning, training, and prompt engineering AI Model Optimization – Strong knowledge of cost management, evaluation, and modification Solution Architecture – Can design and build AI solutions from scratch Client More ❯