276 to 300 of 514 Prompt Engineering Jobs in the UK

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

Social network you want to login/join with: Head of Engineering, warrington, cheshire col-narrow-left Client: Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Who we are: BuildPrompt is a cutting-edge startup working with some of the most well-known … and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM More ❯

Social network you want to login/join with: Head of Engineering, sheffield, south yorkshire col-narrow-left Client: Location: sheffield, south yorkshire, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Who we are: BuildPrompt is a cutting-edge startup working with … and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM More ❯

and global real estate portfolios, using our platform to extract instant insights from a range of complex data including delivering Europes largest infrastructure project. Role Summary: As Head of Engineering at BuildPrompt, you'll lead both our AI orchestration layer and full-stack platform development. You'll oversee the technical evolution of our document Q&A system, manage our … seld Manage our multi-modal LLM strategy including Amazon Bedrock integration and self-hosted model deployment Optimise vector indexing, retrieval systems, and embedding pipelines for document processing Implement advanced prompt engineering, token management, and model evaluation frameworks Drive improvements to our document processing and context-aware response generation Evaluate and integrate both cloud-hosted and on-premise LLM … automatic scaling and recovery capabilities Oversee CI/CD pipelines and comprehensive monitoring across all services Technical Leadership: Build and lead a team across full-stack development and AI engineering Establish best practices for cloud-native, multi-technology development environments Drive architectural decisions spanning web technologies, AI/ML systems, and cloud services Implement robust testing, deployment, and monitoring More ❯

Backend Engineer working on a technical product. Experience working with databases (we use Postgres and Redis). Good system design skills. We are hiring at all levels of our Engineering Progression framework in London. It would also be great if you have: Experience with functional programming. Familiarity with Elixir is a plus, but other languages like Scala, GoLang, Node.js … at scale; ideally you should be comfortable in using AWS and terraform. An understanding of queue management and observability. Experience with orchestration tools like Docker. Knowledge of GenAI and prompt engineering. This role is likely to be a great fit if you: Are truly excited by, and thrive in, the initial years of a company's inception, particularly relishing More ❯

integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities MTS-AI's work across the full AI modelling stack, including prompt design, pre- and post- training, inference, evaluation, LM systems design, and deployment. In this role, you will work across research and engineering boundaries to deliver LLM solutions in … a small team within a broader organisation, designing and validating hypothesis across a cutting edge language modelling stack. Work in these roles will involve a hybrid of research and engineering, and can flex across every aspect of the language modelling stack to make models that are as useful and safe for health as possible. We are looking for early … research papers at top AI conferences and journals, open source projects, industry experience in building production AI stacks. Strong intuition about pre/post training, metric design for AI, prompt engineering methodologies, and AI systems design. Demonstrated experience in one or more of the following areas: prompt engineering, experimental design, language model evaluations, fine tuning, reinforcement More ❯

we’re not just about data—we’re a technologyfirst, product-led organisation undergoing a transformation. Our teams are reimagining how data is collected, modelled, and delivered, and Data Engineering is at the core of this evolution. We’re investing heavily in scalable cloud platforms, Data Vault architecture, and the next generation of engineering tools and techniques—from … to keep our engineers ahead of the curve, empowered with modern workflows that reduce friction and increase impact. We’re already integrating Generative AI into our day-to-day engineering processes—with tools like Cursor, Gemini, and Claude Sonnet helping us move faster, smarter, and with more autonomy. What You’ll Be Doing As a Data Engineer, you’ll … work on a modern, AWS-native data platform, building highperformance pipelines and collaborating across engineering, analytics, and AI teams to make data accessible, trusted, and intelligent. You will: Build, maintain, and optimise batch and streaming pipelines using AWS Glue, Athena, Redshift, and S3. Use prompt engineering techniques (don’t worry—we’ll help you learn them) to More ❯

the intersection of computational software and artificial intelligence, helping to shape the future of Cadence's innovative solutions. Responsibilities: Contribute to the development of AI infrastructure that supports inference, prompt engineering, fine-tuning, and model quantization. Assist in developing software systems and libraries to deliver AI-driven functionality across the organization. Develop systems to implement AI functionality throughout … current with industry trends and emerging technologies in AI and machine learning. Document technical processes and developments for knowledge sharing across teams. Qualifications: Good degree in Computer Science, Electrical Engineering, or a related technical field. Experience: Strong programming skills in C, C++, Python. Knowledge of AI/ML concepts and frameworks. Willingness to learn multiple programming languages. Understanding of … software development principles and practices. Problem-solving skills and analytical thinking. Excellent communication and teamwork abilities. Additional Skills/Preferences: Experience with AI model deployment and inference. Familiarity with prompt engineering techniques. Knowledge of model optimization methods such as quantization. Understanding of software library development. Experience with version control systems (Git). Exposure to computational software or design More ❯

Define and document the testing strategy for GPT-based applications, covering functional, non-functional, and ethical dimensions. Develop test plans, cases, and data focused on LLM-specific behaviors like prompt engineering, hallucination detection, and response consistency. Lead the end-to-end QA lifecycle for GenAI features, from requirements to post-deployment monitoring. Establish quality gates and acceptance criteria … for LLM outputs, ensuring accuracy, safety, and fairness. Identify and implement AI-specific testing tools (e.g., prompt testing, adversarial testing). Integrate testing into CI/CD pipelines in collaboration with MLOps and DevOps teams. Ensure compliance with AI governance, data privacy, and responsible AI standards. Validate API integrations, including authentication, rate limits, and error handling. Your Profile Proven … experience as a Test Lead, preferably in GenAI or LLM-based applications. Strong understanding of LLMs, prompt engineering, and generative AI workflows. Skilled in test automation using tools like Python, PyTest, Postman, and LangChain testing utilities. Familiarity with OpenAI APIs, model fine-tuning, and evaluation techniques. Knowledge of AI ethics, bias detection, and responsible AI practices. Experience in More ❯

b81240d71528 Job Views: 5 Posted: 25.06.2025 Expiry Date: 09.08.2025 Job Description: Job Purpose To contribute to the growing research in Geospatial Data Science at the College of Science and Engineering, working with Professor Ana Basiri and the Geospatial Data Science Group at the University of Glasgow. The successful candidate will develop cutting-edge geospatial AI tools, deliver high-impact … APIs like GPT, Codex, etc., for data tasks and AI-driven applications. Study and develop applications using Large Language Models through fine-tuning and integration. Apply techniques such as prompt engineering, data ingestion, and transformation. Collaborate with the Geospatial Data Science team and external partners across industry, government, and third sectors. Enhance research profile through publications, societal impact … and reproducible. Pursue personal and professional development. Perform additional duties as assigned. Knowledge, Qualifications, Skills and Experience Essential: PhD or equivalent in relevant discipline. Strong knowledge of AI foundations, prompt engineering, data transformation, and model fine-tuning. Deep understanding of APIs like OpenAI's offerings for geospatial data tasks. Skills: Research creativity and collaboration. Excellent communication and interpersonal More ❯

Content Moderation: Monitor and filter inappropriate content to ensure safe and positive user interactions Implement and update classifiers to detect sensitive topics and maintain community standards Behavior Adjustment: Use prompt engineering to guide AI behavior while maintaining natural conversations Policy and Compliance: Define and enforce content moderation policies that align with company values and legal requirements Ensure compliance … engaging experiences Degree in Computer Science, Mathematics, Physics, or related subjects Familiarity with content moderation systems and classifiers for detecting sensitive topics Proficiency in administering computer systems Experience with prompt engineering and LLM behavior adjustment Experience in communicating complex technical systems to laymen Experience with managing large-scale customer feedback Soft Skills Strong communication & collaborative skills (perfectly fluent More ❯

AI engineers to help us build state-of-the-art AI algorithms and products extremely fast . You’ll be joining the most lean, talent-dense, and fast-moving engineering team in London. You’ll be responsible for: Developing production-ready AI algorithms . You will be leading the development of new and improved algorithms to push the envelope … a state-of-the-art evaluation pipeline. You will be leading the development of this pipeline and benchmarking the performance of Solve’s proprietary algorithms on large datasets. LLM prompt engineering. Research and implement state-of-the-art prompting methods to maximize the efficacy of our LLM models and algorithms. Who you are We are a young company of … impressively difficult problems through past projects, designs, or GitHub contributions. Must haves: Expert in Python. Industry experience of shipping algorithms and/or evaluation pipelines into production. Experience with prompt engineering and large language models. Familiarity with back-end development and Postgres databases. Experience with front-end development (Typescript/React). Extremely clear writer and communicator. Nice More ❯

The AI Software Engineer will develop proof of concepts (POCs), secure business approval, and implement AI solutions at scale globally. Key skills include proficiency in neural networks, programming, NLP, prompt engineering, and hands-on experience with AI tools and frameworks. Collaboration with cross-functional teams and a strong understanding of data ethics and AI bias are also essential. … and resolve them within the estimated time and expected quality outcome. Document your work including solution and coding comments and release notes. Education: Bachelor's degree in Computer Science, Engineering, or equivalent field or appropriate experience will be considered. Experience: 5+ years of extensive experience in software development with a strong understanding of front-end and back-end technologies. … proficiency in .Net, Java, JavaScript, etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face and OpenAI. Prompt Engineering: Ability to design and optimize prompts for AI models to achieve desired outputs. AI Integration in Business Processes: Experience in integrating AI solutions into existing business processes More ❯

and long-term resilience. We are proud to foster a culture where people can be themselves, thrive professionally, and feel part of a global community. The Team Our Data Engineering team is at the forefront of Creditsafe's transformation into a technology-first, product-led organisation. We're reimagining how data is collected, modelled, and delivered-investing in cloud … with greater autonomy. Your Role As a Data Engineer, you'll help develop and optimise scalable batch and streaming pipelines, using modern tools and technologies. You'll work across engineering, analytics, and AI functions to ensure data is accessible, reliable, and actionable. ️ Key Responsibilities Build, maintain, and optimise batch and streaming pipelines using AWS Glue, Athena, Redshift, and S3. … Use prompt engineering techniques (training provided) to support LLM-based automation and testing. Collaborate with platform teams to embed GenAI tools (e.g., Cursor, Gemini, Claude) into development workflows. Curate and manage datasets across structured and unstructured formats and diverse domains. Contribute to metadata enrichment, lineage, and discoverability using DBT, Airflow, and internal tooling. Skills & Experience We value both More ❯

models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a … s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is More ❯

models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production-ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a … s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is More ❯

chatbots for betting audiences. You’ll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users. Responsibilities: Build conversational AI flows using LangGraph and OpenAI function-calling … Integrate live sports data, betting odds, and user context into dynamic responses Implement memory handling, tool usage, and RAG pipelines Collaborate on system design, prompt tuning, and architecture decisions Optimize performance for speed, stability, and user satisfaction Skills & Experience: Proven experience with LangChain or LangGraph Strong Python skills and experience working with LLMs Familiarity with RAG pipelines Experience building … chatbots or agent-based systems Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds) Understanding of prompt engineering, token limits, and response tuning Bonus: Experience in sports analytics, fantasy sports, or betting applications About us: At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with More ❯

delivery models. The Trainer will support digital transformation by upskilling individuals to become in-house digital enablers, combining technical expertise with change management, risk mitigation, ethical AI use, and prompt engineering skills. The role includes delivering a blend of face-to-face workshops, online training, hands-on labs, and ongoing consultancy-style support aligned to apprenticeship standards. Role … an extended transformation journey, guiding them through real-world activities such as Copilot deployment, semantic indexing, data governance, and AI workflow automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure More ❯

Raft, you'll be instrumental in shaping the architecture and capabilities of our platform to support features at the cutting-edge powered by AI. This is not a traditional engineering role - it's a high-impact opportunity to work with the cutting edge of AI and agents in a real product setting. You will be responsible for designing scalable … to build an AI native product from scratch. In addition to building advanced software, you'll play a strategic role in driving technical decision-making and mentoring our growing engineering team. This role is for someone who thrives in a fast-paced, ambitious environment and is ready to make an outsized impact on a product used across the globe. … What You'll Do: Design and implement AI-powered features using LLMs, MCP and other advanced technologies Create robust, scalable, and maintainable code that adheres to engineering best practices Develop agentic AI systems that can autonomously perform complex tasks and bring humans in the loop at the right time. This will involve thinking about and building systems that balance More ❯

and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Software Engineer role: The Software Engineering and AI department within the Francis Crick Institute is responsible for delivering science-based technology services to the Crick. This role will report to the Head of Software Engineering … Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating More ❯

and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions. The Software Engineer role: The Software Engineering and AI department within the Francis Crick Institute is responsible for delivering science-based technology services to the Crick. This role will report to the Head of Software Engineering … Practical MLOps experience of training and tuning deep learning models and evaluating performance (e.g working with PyTorch to build deep learning pipelines) Experience with large language models including; RAG, prompt engineering, and finetuning techniques as well as model API integration Experience across a range of deployment environments including public cloud and high-performance computing clusters Practical experience creating More ❯

to learn more. Base pay range Direct message the job poster from MBN Solutions Data Talent Specialist- Building teams in Data Science/Machine Learning/GenAI/Data Engineering/Econometrics across UK/North America/Europe... Applied AI Solution Engineer £70,000-£100,000 + Benefits Depending on Experience London: Flexible Working Are you passionate about … scalable AI solutions Proven Experience 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 Engagement – Comfortable working with both More ❯

part of the team developing and maintaining the QAD Champion API Backend (Golang), serving the primary AI use-cases for various products within QAD. As a part of the Engineering team, based in the US and Europe, this role will bring you great opportunities to work on various projects, technologies, with a diverse range of teams. The Engineering … system. Commit to the team to help the team and the wider business achieve our goals. Write testable and maintainable code. Qualifications Required Qualifications: Education: Degree in Information Technology, Engineering Computer Science or related fields Professional experience: 5+ years Technical skills: Strong Knowledge of Golang Knowledgeable of maintaining versioned API contracts API-first design using Open Api Spec (OAS … handlers and models from OAS using oapi-codegen Launch Darkly Feature Flagging Docker AWS Cloud Services including EKS and RDS AWS Bedrock Knowledgebases and Agents AWS Sagemaker Generative AI Prompt Engineering Additional Information About QAD: QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. Global manufacturers face ever-increasing More ❯

Snowflake, and MongoDB. Role - Sr. Engineer You're a well-versed "T-shaped" product engineer with a spike in backend engineering. You'll be working with the product and engineering team on building the product in general, but will help support our existing infrastructure, ensuring we can scale in an efficient manner. You don't have to be a … team means you thrive in a low-structure environment, and having the ability to communicate clearly is very important. You would ideally have the following: 6+ years of software engineering experience Experience working in an early stage start-up A well-rounded product engineering toolkit The ability to work independently and autonomously The ability to operate in a … working with Kubernetes Experience working with large volumes of data It would be a plus if you also have experience in: LLM experience, such as building RAG-models and prompt engineering and familiarity with the main foundation models on the market Some front-end experience W hat you'll be doing Kernel provides customization at scale, which means More ❯