326 to 350 of 502 Prompt Engineering Jobs in the UK

augmented generation (RAG)AI reasoning and workflow orchestration Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search … chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI-powered solutions. AI Evaluation & Experimentation Develop and apply evaluation frameworks for search and AI systems, including:IR metrics ...

building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable … replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how our client builds and scales its commercial engine. What ...

with engineers to translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:** * Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling.* Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience with generative AI techniques (e.g., prompt engineering, RAG).* Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.* Experience designing agentic workflows and reasoning ...

with engineers to translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:** * Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling.* Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience with generative AI techniques (e.g., prompt engineering, RAG).* Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.* Experience designing agentic workflows and reasoning ...

with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning ...

with engineers to translate validated approaches into scalable, customer-facing solutions. **Key Responsibilities:** * Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).* Define agentic workflows and reasoning strategies for multi-step IP tasks.* Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling.* Strong experience designing and running experiments, including model evaluation and iteration.* Strong coding skills in Python.* Experience with generative AI techniques (e.g., prompt engineering, RAG).* Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.* Experience designing agentic workflows and reasoning ...

with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning ...

manage AI agents, copilots, and workflow automation solutions. Build Retrieval-Augmented Generation (RAG) applications leveraging internal business data. Develop intelligent assistants supporting operational, engineering, customer service, and business functions. Implement multi-agent workflows and orchestration frameworks. Monitor and optimise AI solution performance, reliability, security, and cost efficiency. Governance & Compliance … with Microsoft 365 technologies, collaboration platforms, and SQL-based databases. Desirable Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. ...

role‐based application, technical skill development, workflow redesign, responsible technology use, and advanced concepts where appropriate. Develop practical, interactive exercises such as tool walkthroughs, prompt refinement activities, workflow mapping, use case development, ethical decision‐making scenarios, productivity tasks, coding challenges, technical labs, or real‐world business simulations. Ensure learning … emerging technology, data, digital transformation, technical skills, or workplace technology adoption. Strong working knowledge of AI concepts, including generative AI, large language models, prompt engineering, machine learning, AI agents, ethical AI, responsible use, and enterprise AI adoption. Experience designing practical, hands‐on learning activities that may include ...

Work directly with government teams Prototype and test solutions Present findings and recommendations Contribute to strategic direction. What We Are Looking For Strong software engineering experience Experience building and evaluating AI systems Understanding of LLMs and agentic AI Experience with AI evaluation frameworks Ability to code independently Strong problem … communication skills Comfortable working autonomously. Technical Experience AI/LLM Evaluation, RAG Evaluation, Ragas, Agentic AI Evaluation, Evaluation Harnesses, LLM Testing and Benchmarking, Prompt Engineering, Python Development, Model and Agent Integration. Ideal Background AI Evaluation Engineer, Applied AI Engineer, AI Engineer, LLM Engineer, Harness Engineer, Prompt Engineer ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Senior Consultant level. You'll work alongside our CTO and engineering leadership, you'll work in a small pod - typically with … architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry - designed inside the build, not bolted ...

with product management and engineering. The AI Solutions Implementation Specialist will be part of a small team coordinating across key stakeholders, including product management, engineering, enterprise architecture, finance & legal, and go‐to‐market and customer success operations, ensuring that the tools and prototypes you build deliver measurable value while … Microsoft Copilot, Copilot Studio, Power Platform, or similar). Translate business and stakeholder requirements into clear technical specifications, user stories, and acceptance criteria that engineering teams can build from. Partner with engineers throughout the development handoff, from prototype to production, to ensure validated ideas scale into reliable, supportable features. ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

through the ambiguity, politics, and technical constraints that come with it. This isn't a project management role and it isn't a pure engineering role. It sits at the intersection of both, and the people who thrive here are ones who are just as comfortable in a room … with a CFO as they are debugging an integration with an engineering team. What you'll do Lead customer discovery: identify operational bottlenecks, uncover high-impact workflows, and turn vague pain into a deployable solution Own deployments end-to-end: discovery, workflow design, implementation, rollout, training, and iteration Rapidly ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

technical direction while driving the quality, scalability, and reliability of next‐generation AI‐powered systems. This role operates at the intersection of research, software engineering, and advanced testing, transforming cutting‐edge ideas into robust, production‐ready platforms. This is a senior individual contributor leadership role: the Senior AI Engineer … across the company, and define a coherent platform vision that scales beyond your immediate team. Design reusable abstractions, SDKs, and services for model integration, prompt management, experimentation, and deployment that establish organization‐wide patterns and reduce duplicated effort. Research and delivery excellence Help define the evaluation strategy and methodology ...

workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science … building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content ...

documented data controls, reports and dashboards — using a modern, automated tech stack. This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways … enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working & Continuous ...

deploying AI/ML solutions is highly preferred, we also value candidates who bring strategic expertise in AI/ML solution design, model selection, prompt engineering, and responsible AI practices. You should be comfortable discussing topics ranging from model fine-tuning and RAG (Retrieval-Augmented Generation) architectures … here to help you develop into a better-rounded professional. Basic qualifications- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Experience in design, implementation, or consulting in applications and infrastructures- Experience in IT development or implementation/consulting ...

functional teams to drive improvements, implement best practices, and ensure the reliability of the systems powering our global payment network. Key Responsibilities: AWS Infrastructure Engineering: Design, build, and maintain AWS services at scale, including:EC2, EKS, ECR, S3, KMS, VPC, RDS, ElastiCache, OpenSearch, SageMaker, and CloudWatch. Maintain and optimise … vulnerability management processes and remediation work. Ensure infrastructure compliance with internal and external security standards. Collaboration & Documentation: Collaborate with developers, data teams, and platform engineering to ensure infrastructure meets product and compliance needs. Produce clear technical documentation, runbooks, and architectural diagrams. Contribute to knowledge sharing and help mentor associate ...

platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI. Role Responsibilities Own the full lifecycle of AI deployments within your … Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well-defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade-offs, and outcomes clearly to leadership. Architect, build, and deploy cutting-edge AI applications ...

solutions and machine learning architectures. This team is dedicated to enhancing our financial crime mitigation operations through advanced tooling, automated evaluation frameworks, and prompt optimization, aiming to streamline reviews and simplify the work of our operations staff. As a Lead Data Scientist (IC3), you will drive technical strategy across … labeling taxonomies and guidelines with EDD SMEs, construct evaluation datasets, and implement automated eval harnesses to systematically measure accuracy, precision, recall, and failure modes. Prompt Optimization & Experimentation: Audit existing prompts and run structured experiments (few-shot, chain-of-thought, context ordering) within a hypothesis-driven testing framework to reduce ...