1 to 25 of 128 Prompt Engineering Jobs in England

showcase high-impact AI opportunities, developing proof of concepts to validate feasibility and demonstrate real-world value. Explore, collect, clean, and prepare datasets for prompt engineering, model training and evaluation (Data Engineering). Design and create robust data pipelines (Data Engineering). Develop, test and iterate … prompts to optimise performance across relevance, accuracy, consistency and other areas (Prompt Engineering). Select, train, and fine-tune AI models based on need, leveraging appropriate techniques (e.g. LLMs, Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, Multi-modal AI, Agentic Workflows) (Model Development). Integrate and deploy scalable … track record leveraging Generative AI to build/enhance products with real user adoption. Experience in developing and fine-tuning Gen AI models, including prompt engineering, model fine tuning and deployment. Knowledge and use of LLM and statistical evaluation techniques such as G-Eval, Bleu, Perplexity and/ More ❯

autonomy to lead the development and implementation of AI-powered solutions. This role will focus on integrating diverse data sources, refining AI interactions through prompt engineering, and collaborating with cross-functional teams to drive artificial intelligence adoption and innovation. Your work will directly impact how automotive dealerships operate … data and supporting decision-making processes. Leverage AI technologies (LLMs) to continue development and implement chatbot agents for company-wide insights. Implement test-driven prompt engineering to design, optimize, and refine prompts for accurate and relevant AI-driven interactions, ensuring AI responses are thoroughly validated for accuracy, relevance … and consistency before deployment. Integrate AI with internal and external data sources, ensuring seamless access to business-critical data. Collaborate with engineering, data science, product management, and operations teams. Assist in data architecture, preparation, and sanitization for effective use by AI models. Develop AI strategies aligned with business goals More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

direction. Work across a family of apps, enabling real-time content optimisation and distribution. Collaborate with cross-functional partners and engineers to improve content prompt engineering workflows. Provide recommendations on release strategies and help enhance scaled content across digital platforms. Opportunity to engage in GenAI prompt engineering … Self-starter with strong attention to detail, proactive mindset, and the ability to juggle 2–3 projects at once. Familiarity with Sequel and GenAI prompt engineering is a plus Day-to-Day Snapshot: Join working sessions with the team to review and improve content guidelines. Assess real-time More ❯

generative AI have unlocked new possibilities—enabling us to reimagine the experience in our pursuit of making customers' lives better and easier every day. Prompt engineering and LLM orchestration form the critical backbone of Alexa+ by serving as the interface between user request and LLM processing, guiding AI … systems to provide contextually relevant, accurate, and coherent responses. The quality of this engineering directly impacts the assistant's ability to understand context, maintain conversation flow, and generate appropriate responses. We are seeking an experienced Software Engineering Manager to lead our Alexa+ AI Agent team, driving the development … and optimization of the LLM prompt and orchestration system for Alexa+. The ideal candidate will manage a team of engineers focused on building robust, scalable architectures that power the conversation flow, context management, prompt generation, and LLM orchestration. You will drive technical strategy, collaborate with conversation bar raisers More ❯

Dataiku's platform (or Python-based frameworks where needed). Integrate and optimize third-party LLM APIs (OpenAI, Anthropic, AWS Bedrock, Azure), focusing on prompt engineering and orchestration (e.g., LangChain). Build and maintain robust data pipelines, ensuring AI applications are performant and secure. Agent & Agent Tool Creation … and changing requirements. Web Application Development Collaborate on UX design, ensuring internal stakeholders find solutions intuitive and responsive. Work closely with analytics and data engineering teams to maintain metadata on reference datasets for LLM consumption. Adhere to data governance, security, and regulatory compliance requirements for all GenAI solutions. Partner … feedback to the development team to improve the product. Stay current with industry trends, particularly around AI agent frameworks and LLM best practices (LangChain, prompt engineering, vector databases). Qualifications Technical Proficiency Must have strong Python skills (including familiarity with typical data science libraries). Experience developing AI More ❯

build our MVP and launch it to our first users. Your input will extend beyond just the product; you will shape our technical foundation, engineering culture, and decision-making processes. As our Founding AI Engineer, you will develop and improve our AI library, bringing the most cutting-edge technology … Founding Software Engineer Reduce hallucination and improve safety of our LLM outputs Research latest AI developments and integrate them into our library Data and prompt engineering Drive your own work-stream and product roadmaps Work directly with our users to drive improvements in the product Who We're … Looking For Higher Education (BSc, MSc, PhD) and/or research background 5+ years of experience, accepting graduates only from PhD programs Strong ML Engineering expertise Solid understanding of back-end development and infrastructure, such as Flask and Django Experience launching AI products and/or deploying ML models More ❯

document fraud detection and web due diligence. You will also develop systems to automate the testing and improvement of our solution such as evals, prompt optimisation, and fine-tuning models. About the Role As an AI Product Engineer, you will: Build and maintain full-stack product features across front … end, back-end, AI, devops and MLops. Create systems that can improve over time based on feedback from humans in the loop, such as prompt optimisation and fine-tuning. Explore applications of the latest developments of AI to enhance our product features, explainability, speed and accuracy. What You’ll … more thorough and more accurate than humans. Devops: Ensure that we maintain fast deployments and good CI/CD practices to maximise development velocity. Prompt Engineering: Develop and test prompts to optimise model performance and deliver high-quality outputs. Model Fine-Tuning: Adapt and fine-tune large language More ❯

frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model outputs. Experience working with healthcare or sensitive data (HIPAA/GDPR compliance awareness). More ❯

computing, 5G communications, automotive, aerospace industrial and health. Job Title: Sr Principal Software Engineer Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Software Engineering Group Director Job Overview: We are seeking a Sr Principal Software Engineer (Team Lead) to join our team responsible for developing and maintaining AI … future of Cadence's innovative solutions. Job Responsibilities: Lead and mentor a team of software engineers working on infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Collaborate with product managers and cross-functional teams to deliver software systems and libraries to deliver AI … technologies in AI and machine learning. Foster an environment of continuous learning, innovation, and technical excellence. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

What you will be doing (Senior AI Solutions Engineer): Solutions development and presentation: You will develop and present workflow implementations within V7 that combine prompt engineering, data ingestion pipelines, and format conversions, solving customer problems in image recognition, document processing, product development, and more. You will present your … are: Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation), and/or measuring AI accuracy. Five years+ experience in solutions architecture or integrating multiple applications/data … streams, or ML development within customer-facing roles. Strong experience with Python. University degree in computer science, engineering, mathematics, or related fields. Solutioning: ability to develop and articulate an AI solution vision to technical and business stakeholders with customers and partners to match value proposition to business needs. Thrived More ❯

Facilitate customer alignment on high-impact use cases that leverage AI, data pipelines, and Agentforce. Showcase Real-World Solutions: Partner with Sales and Solutions Engineering to build compelling demos and prototypes that illustrate immediate return on investment and practical use. Facilitate Workshops & Education : Lead whiteboarding sessions, training, and hands … documentation, architectural diagrams, and enablement materials that highlight emerging AI trends and Agentforce innovations. Requirements Technical Pre-Sales/Consulting : Several years in solutions engineering, architecture, or technical consulting, ideally in B2B SaaS. AI & ML Expertise : Experience with machine learning concepts (predictive and generative AI), plus the ability to … AI research, frameworks, sharing insights, and experimenting with pioneering technologies. Actively stays up to date on new LLM models and agentic approaches , experimenting with prompt engineering to drive innovation. Preferred Requirements Agentforce or Salesforce CRM : Experience with Agentforce, Data Cloud, or Salesforce products (Sales Cloud, Service Cloud, Heroku More ❯

consumer, hyperscale computing, 5G communications, automotive, aerospace industrial and health. Job Title: Software Engineer II Location: Cambridge, United Kingdom OR Cork, Ireland Reports to: Engineering Group Director Job Overview: We are seeking a Junior Software Engineer to join our team responsible for developing and maintaining AI infrastructure across Cadence … helping to shape the future of Cadence's innovative solutions. Job Responsibilities: Contribute to the development of AI infrastructure that supports, for example, inference, prompt engineering, fine-tuning, and model quantization. Assist in developing software systems and libraries to deliver AI-driven functionality across the whole Cadence organization. … technologies in AI and machine learning. Document technical processes and developments for knowledge sharing across teams. Job Qualifications: Good degree in Computer Science, Electrical Engineering, or related technical field. Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming More ❯

automation opportunities Work with our account management team to identify and prioritise opportunities to add the most value to our customers Design and implement prompt engineering solutions using our system, including: Data extraction from complex property leases and documents Workflow automation for a variety of intensive processes, like … from them. You're explicitly up for long hours, tight deadlines, and moments of heroism A good understanding of genAI fundamentals Semi-pro at prompt engineering with a deep passion for it-you've got the bug If you can also tick off any of the below bonus … points (don't worry if it's some or none though!) Some software engineering experience-vibe level, not necessarily writing production code Start-up or scale-up experience-you know what it means to wear multiple hats Real estate, law, or other relevant industry expertise International experience or language More ❯

to democratise financial access for 1 billion people. About the Role We’re looking for a hands-on AI Engineer, super passionate about AI engineering, to design and scale AI agents. Join our dynamic, friendly, close-knit team to build impactful LLM-powered solutions at speed. Responsibilities Build and … on retrieval-augmented generation and data retrieval systems Develop robust AI evaluation frameworks, metrics, and methodologies Demonstrate NLP fundamentals (tokenisation, embeddings, LLM understanding) Practise prompt engineering (few-shot, role-based, …), continuously testing and optimising prompts with tools like Weave or Laminar Balance constraints (token limits, cost, speed) while … Must-Haves LLM-based agent design with retrieval-augmented generation Proficiency in AI evaluation frameworks, NLP fundamentals (tokenisation, embeddings, LLM architecture), and bias handling Prompt engineering with systematic experimentation (tools like Weave or Langsmith) Strong Python back-end skills for data-intensive systems and data processing Ability to More ❯

Microsoft Dynamics 365 Contact Centre as robust CCaaS solutions. Develop business cases for transformation projects, highlighting the strategic value of Cloud and CCaaS. Employ prompt engineering techniques to optimise AI-driven tools like OpenAI, Dialogflow, and IBM Watson Assistant. Continuously refine prompt designs, aligning with business and … Dynamics 365 Contact Centre particularly in customer service implementation. Proven ability to architect cloud-based contact centre solutions, supporting multiple communication channels. Expertise in prompt engineering to enhance conversational AI models. Experience in agile environments using frameworks such as Scrum, Kanban, or SAFe. Strong analytical skills for translating More ❯

Global Banking & Markets - Software Engineering - Associate - London location_on London, Greater London, England, United Kingdom INVESTMENT BANKING Goldman Sachs Investment Banking (IB) works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or … sponsors, and governments and are a team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas. GOLDMAN SACHS ENGINEERING CULTURE At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with … ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create More ❯

sponsors, and governments and are a team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas. GOLDMAN SACHS ENGINEERING CULTURE At Goldman Sachs, our Engineers don’t just make things - we make things possible. Change the world by connecting people and capital with … ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create … new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! Who we look More ❯

individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world. GOLDMAN SACHS ENGINEERING CULTURE At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with … ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create … new businesses, transform finance, and explore a world of opportunity at the speed of markets. Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here! Who we look More ❯

evaluate, and fine-tune AI prompts for optimized performance. Knowledge of responsible AI practices and implementing necessary guardrails. Bachelor’s degree in computer science, engineering, or equivalent. Proficiency in at least two programming tools (e.g., Java, C/C++, Python). Understanding of SDLC principles and software engineering practices. Familiarity with advanced algorithms, program structures, and API development. Skills in prompt engineering, automated testing, and debugging. Experience in cloud application development and CI/CD pipelines. Experience in building and deploying conversational chatbots for IT and/or customer support. What You'll Bring You … This chatbot will be a critical component in transforming IT support through AI-driven solutions. Your team will work closely with the Cloud Platform Engineering (CPE) team, which is responsible for building the shared GenAI platform. This platform will support multiple GenAI use cases across the company, ensuring scalable More ❯

Asset & Wealth Management - London - Associate - Software Engineering location_on London, Greater London, England, United Kingdom Opportunity Overview CORPORATE TITLE Associate OFFICE LOCATION(S) London JOB FUNCTION Software Engineering DIVISION Asset & Wealth Management Job Description: We are seeking a highly skilled GenAI Developer to join our dynamic, global team. … developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of More ❯

days/week in London. £90k - £110k + Bonus + 8%+ Employer Pension + 9x Life Assurance AWS Tech Stack | MLOps & AI Engineering | Unstructured Data Processing About the Role I’m looking for a Senior ML Engineer to play a pivotal role in building ML pipelines and infrastructure … for an innovative Text Mining product for a cutting edge InsurTech business. This is a hands-on engineering role with a strong focus on LLMs, NLP, and MLOps . What You’ll Be Doing: Building & Scaling ML Pipelines – Deploying and managing production-ready ML models. Working with LLMs & NLP … Text mining, unstructured data processing, model fine-tuning. Redesigning & Extending a Key Product – Transforming an existing Text Mining solution . Shaping AI Engineering & MLOps Strategy – Creating scalable ML solutions in AWS. Thriving in a Start-up Environment – Operating with autonomy and minimal oversight Technical Requirements: ML Engineering Expertise More ❯

AI solutions-including LLMs and AI agents -into our products and operations at a leading SaaS company. You'll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management. This is a highly collaborative and fast-moving … specialists. Optimize model pipelines for latency, scalability, and cost-efficiency , and support real-time and batch inference needs. Collaborate with MLOps, DevOps, and data engineering teams to ensure reliable model deployment and system integration. Stay informed on current research and emerging tools in LLMs, generative AI, and autonomous agents … applicability. Participate in roadmap planning, design reviews, and documentation to ensure robust and maintainable systems. Required Qualifications 5+ years of experience in machine learning engineering, applied AI, or related fields. Bachelor's or Master's degree in Computer Science, Machine Learning, Engineering , or a related technical discipline. Strong More ❯

on a product that drives positive change to the lives of millions of people around the world. You have a genuine enthusiasm for software engineering and take no greater pleasure than finding the right solution to the problem at hand and making practical tradeoffs. You're eager to continuously … AI/ML technologies (LLMs, RAG, embeddings) to create practical and scalable solutions for real-world use cases. Collaborate with cross-functional teams (Product, Engineering, Customer Support) to identify opportunities & customer needs and translate them into AI-powered features. Proactively share AI best practices with our Product & Engineering … developing & deploying AI/ML powered applications. Practical experience with Python and familiarity with frameworks such as FastAPI, TensorFlow, LangChain/LlamaIndex. Familiarity with prompt engineering, embeddings & RAG, and vector databases. Experience with AWS ML capabilities (e.g. SageMaker, Bedrock) or their GCP/Azure equivalents. Experience with evaluating More ❯

developing and implementing RAG models to enhance information retrieval and generation tasks. Vector Stores: Knowledge of Vector Stores for efficient data storage and retrieval. Prompt Engineering: Skills in designing and optimizing prompts for AI models to improve accuracy and relevance. Large Language Model APIs (LLM APIs): Understanding of More ❯