126 to 150 of 166 Prompt Engineering Jobs in the UK

following is relevant: Enterprise data & AI platforms (e.g. Databricks, Microsoft Fabric, Azure AI services, or comparable) LLM-based systems (RAG, agentic workflows, prompt engineering, evaluation) Python and SQL in production environments AI monitoring, evaluation, and lifecycle management Low-code or assisted AI tooling is absolutely fine — what matters ...

person Ability to connect with diverse audiences including technical and non-technical professionals Skills and Technical Proficiency Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands ...

person Ability to connect with diverse audiences including technical and non-technical professionals Skills and Technical Proficiency Strong knowledge of GenAI concepts, applications and prompt engineering Proficient in GenAI concepts, machine learning techniques, and Python programming, with strong familiarity with the NumPy ecosystem. Industry Knowledge & Experience Desirable hands ...

Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

across the business What We're Looking For Must-Haves: Hands-on experience with AWS (Cloud Practitioner level or higher) Working knowledge of LLMs, prompt engineering, and modern AI deployment practices Experience deploying or managing AI tools in production environments Ability to work across build and operational contexts ...

provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning Python BAML - LLM prompt engineering DSL Vertex - ML Ops Why Join Us This is a ground-floor opportunity to shape the product and the codebase from ...

fast-growth environments) Role 1: AI Engineer Expert-level Python with exposure to frontend technologies (TypeScript/React preferred) Hands-on experience with LLMs, prompt engineering, and evaluation frameworks Ability to ship AI-powered features end-to-end Minimum 3 years of experience Role 2: Applied AI Engineer … Strong backend engineering experience (Python preferred) Deep knowledge of CI/CD, Docker, Kubernetes, and Git workflows Experience building RAG pipelines and AI agent orchestration systems Minimum 5 years of experience 📩 Interested? Message me here or email mmatysik@trg-uk.com ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

lookups (RAG) and clinical system integrations Data Insights: Building pipelines to transcribe and analyse historical call recordings to extract sentiment, summary, and outcome data Prompt Engineering: Refining system prompts to ensure our agents are safe, accurate, and empathetic in a healthcare context. Learning and Development: Keeping ...

Python and ML libraries like PyTorch or TensorFlow, with experience in supervised and reinforcement learning. Hands-on expertise in fine-tuning Large Language Models, prompt engineering, and deploying models within cloud environments like AWS. Proactive startup mindset with a demonstrated ability to solve complex, real-world problems ...

next 12 months. This is a company operating at pace, with an uncompromising focus on shipping, learning from real customers, and iterating quickly. Engineering quality matters, but speed, ownership and outcomes matter just as much. This is an opportunity to join at a formative stage and play a defining … technical foundations of the business. The Role This AI Engineer position reports directly into the CEO, sitting at the core of the product and engineering effort. You'll be responsible for building and shipping AI-driven functionality end-to-end, from experimentation and prompt design through to production ...

Python , and familiar with front-end frameworks like React. Skilled in SQL , data warehousing ( BigQuery ), and data visualisation. Knowledgeable about AI integration , agent frameworks, prompt engineering, and observability tools. Familiar with automation, ETL/ELT, and modern software engineering practices. ...

Develop APIs and services that integrate LLMs with existing AI, data and platform systems Optimise solutions for performance, reliability, latency and cost Collaborate with engineering, AI and product teams to identify and deliver high-value use cases Ensure all solutions meet security, compliance and data governance standards What … Client Is Looking For Essential Proven experience deploying LLMs in production Strong Python development skills Hands-on experience with: Prompt engineering and evaluation Retrieval-Augmented Generation (RAG) Embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma) Experience building LLM-backed services using FastAPI/Flask or similar Strong ...

Responsibilities as a Lead AI Engineer: Support and develop a small team, helping them grow and progress. Work with leaders to set and improve engineering and R&D standards. Shape the AI roadmap across both use cases and technology. Partner with senior stakeholders to understand processes and data, identifying … customer value. Comfortable working both autonomously and collaboratively in a fast-paced, cross-functional environment Strong experience with advanced NLP, including developing models, prompt engineering and fine-tuning LLMs in a commercial setting. At Ageas we offer a wide range of benefits to support you and your family ...

workshops with technical and business stakeholders Represent the organisation’s technical capabilities in high-stakes client meetings Build trust and long-term relationships with engineering teams and decision-makers Solution Development & Architecture Build and iterate working AI prototypes quickly Architect scalable, maintainable systems from prototype to production Make sophisticated … 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level AI strategy ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … digital analytics Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams ...

pipelines leveraging LLMs and RAG architectures. Develop SDKs and APIs to support AI-driven applications in resource-constrained or production-grade environments. Collaborate across engineering, product, and research teams to drive innovation in AI/ML-based products. Ensure high performance, testability, and reliability across the stack. Key Qualifications … deploying LLM-based systems (e.g., OpenAI, Hugging Face Transformers, LangChain, etc.). Deep understanding of AI application architecture, including RAG systems, vector databases, prompt engineering, and fine-tuning. Experience with ML model serving, SDK development, and working in production-grade environments. Ability to work across the full stack ...

architecture, AI, and product delivery - orchestrating AI tools to build and maintain a modern full-stack platform. If you’re excited by AI-assisted engineering and see automation as the default rather than the exception, this role will feel genuinely different. In addition to this, we're also interested … infrastructure layers. What Makes You a Great Fit: AI-Native Mentality: You instinctively look to automate before doing something manually. You’re excited by prompt engineering and AI orchestration. The Auditor Mindset: Since AI generates much of the code, you’re exceptional at spotting logic gaps, performance issues ...

Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction of the project and team Collaborate with cross-functional teams to design, develop, and implement solutions Create … with minimal supervision. Bonus Points: Experience working in the Ads domain Experience or interest in the advertising business, and understanding customer needs Experience with prompt engineering, machine learning, or data science. ...

Technical & Domain Skills Background in information science, library science, data science, bioinformatics, or similar Experience or strong interest in: NLP & LLMs (e.g. transformers, RAG, prompt engineering) Python for text analytics Knowledge graphs and ontologies Familiarity with data visualisation and scientific communication tools Ways of Working Strong stakeholder ...

Copilot Studio and Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API).Ideally, familiarity with Azure AI services and OpenAI integration.Expertise in prompt engineering and conversational design.Understanding of data governance, compliance, and security.Ability to create custom connectors and integrate external systems.Excellent communication and stakeholder engagement skills. ...

Power Platform.Strong knowledge of Microsoft 365 ecosystem (Teams, SharePoint, Graph API). Ideally, familiarity with Azure AI services and OpenAI integration. Expertise in prompt engineering and conversational design. Understanding of data governance, compliance, and security. Ability to create custom connectors and integrate external systems. Excellent communication and stakeholder ...