26 to 38 of 38 Prompt Engineering Jobs in the UK excluding London

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 ❯

in Microsoft Azure Data & AI solutions. You’ll play a pivotal role in leading the design, development, and delivery of advanced analytics and data engineering solutions, while also driving client engagement and contributing to the strategic growth of the consultancy. You’ll be a trusted advisor to clients and … this role will be hands on technical work during the first 1-2 years of this role! Professional Skills Required Strong expertise in data engineering, modelling, and real-time data pipelines. Proficiency in tools such as Azure Data Factory, Synapse, SQL, Databricks, Power BI, Microsoft Fabric. Programming experience with … understanding of cloud data architecture, governance, and performance optimisation. Business domain knowledge across at least two industries (e.g. finance, retail, healthcare). Familiarity with prompt engineering and emerging AI/ML frameworks is a plus. Excellent client-facing communication, leadership, and delivery skills. Leadership & Commercial Focus Lead project More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

for an AI Engineer to help lead the application of artificial intelligence across the business. This person will explore and implement AI tools—from prompt design to agent building and predictive models—to improve newsroom workflows, support commercial teams, and drive product innovation. Working at the intersection of editorial … the business and its audience. Responsibilities AI Tool Development : Build and test intelligent systems to enhance editorial efficiency, commercial performance, and user-facing features. Prompt Design & Testing : Experiment with generative AI to support summarisation, content recommendations, and workflow improvements. Agent-Led Automation : Develop AI-powered systems that can automate … explore how emerging technologies can push boundaries in digital media. Key Skills Solid experience developing and deploying AI/ML solutions Familiarity with LLMs, prompt engineering, and generative AI use cases Hands-on experience with AI agent frameworks and automation Strong communication skills and cross-functional collaboration experience More ❯

roles. Proven contribution to proposals, presentations, pre-sales, and opportunity development. ER&I Industry Domain Knowledge: In-depth expertise in ER&I functional areas (Engineering, Operations, Sustainability, Regulatory Compliance, etc.). Deep GenAI Architecture Expertise: Extensive technical architecture experience in GenAI, AI, or Enterprise Architecture, ideally within consulting or … Implementing Complex GenAI Solutions: Excellent understanding and experience designing and implementing complex GenAI solutions, including several of the following areas: GenAI model integration & deployment. Prompt engineering & model customization. AI/GenAI governance & ethics (bias detection, explainability). GenAI Platform & Infrastructure Architecture (Cloud, Lakehouse). GenAI ModelOps & Performance Monitoring. … market activities, including RFI/RFP responses and developing high-quality GenAI-focused proposals. We lead transformation at the heart of our clients; re-engineering the core of our clients' organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees. Our hybrid working policy More ❯

developing and optimising production-grade AI systems, particularly with transformer-based architectures Impeccable history of academic achievement within secondary education Proven track record in prompt engineering for complex use cases, with demonstrable examples of novel applications that pushed boundaries Deep expertise in fine-tuning and optimising multi-LLM More ❯

an AI-first platform, enabling foundation models like Gemini Pro to analyze multimodal data at scale. You'll work closely with the founders and engineering leadership to design robust, high-performance architectures that drive AI adoption at enterprise levels. Responsibilities Architect and scale backend systems for multi-tenant AI … Haskell, etc.). Cloud infrastructure expertise (AWS, Terraform) with experience at scale. Deep understanding of distributed systems, orchestration, and observability. Knowledge of GenAI and prompt engineering is a plus. Passion for early-stage startups, small-team collaboration, and a customer-centric mindset. Perks & Benefits Top 15% equity options More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

Data Scraping Proficiency: Utilise platforms such as Clay for AI lead enrichment, data scraping, and campaign creation to maximise ROI. Leverage AI models and prompt engineering to enhance campaign targeting and messaging. Key Performance Indicators (KPIs): Positive Replies: Weekly/Monthly targets. Meetings Booked: Monthly/Quarterly targets. More ❯

and company culture Enjoy the freedom and challenge of working across the stack, from intuitive UX and robust API design to AI architectures and prompt engineering Believe AI is fundamentally reshaping the world - and want to be part of it Sound like your kind of adventure? Let’s More ❯

project workflows Strong command of data tools (Google Sheets, Excel) Additional fluency in Spanish, Portuguese, or Hindi is required Bonus: Experience with coding or prompt engineering Next steps to apply: Apply now with word document CV for immediate review. The CV deadline is Monday 28th of April do More ❯

role in shaping the roadmap, feature development, and user experience of our GenAI-powered legal solutions. You’ll collaborate with cross-functional partners across engineering, design, legal SMEs, and go-to-market teams—including close coordination with Product Marketing— to bring transformative legal tech products to life. Key Responsibilities … strategies align with product capabilities. AI-Driven Innovation • Design and validate GenAI-driven features for legal workflows including drafting, summarization, and search. • Collaborate with engineering to apply agentic frameworks and adaptive logic in product experiences. • Identify and test new applications of AI/ML that enhance legal productivity, insight … grooming, and day-to-day product execution with agile squads. • Write clear user stories and product requirements that enable rapid iteration. • Coordinate closely with engineering and QA to ensure timely, high-quality product releases. • Leverage formal frameworks such as Lean Product Management to guide decision-making and iteration. • Manage More ❯