126 to 150 of 512 Prompt Engineering Jobs in the UK

Value on the platform. Fully own responses to functional and technical elements of RFIs/RFPs. Collect feedback from the field, synthesize, analyze, and channel to Product Management and Engineering for product roadmap enhancements. Responsible for representing the Workato platform to customers at field events such as conferences, seminars, etc. Support Marketing and Event functions by evangelizing the Workato … cloud infrastructure (AWS, GCP, Azure). Familiarity with object-oriented programming and scripting. Understanding of web technologies such as JSON, XML, HTTP, GraphQL. Familiarity with AI Concepts such as prompt engineering, RAG, vector databases, chain of thought reasoning, and other techniques used to improve results and performance of Gen-AI use cases. Soft Skills/Personal Characteristics Passionate More ❯

intelligence and machine learning techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar … application and talk to you about this job or others at Kantar. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Market Research Referrals increase your chances of interviewing at Kantar by 2x Get notified about new Senior Data Scientist jobs in Reading, England, United Kingdom More ❯

client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval-augmented generation (RAG), vector databases, prompt engineering, and model fine-tuning Engage with client stakeholders to understand requirements and define appropriate technical solutions Contribute to project scoping, delivery, and reporting, ensuring outcomes align with More ❯

within Contentful. What to Expect Lead AI-Driven Development : Architect and implement end-to-end AI-powered features, researching and prototyping new ways to enhance Contentful's platform. Fullstack Engineering Excellence : Design, develop, and maintain scalable, high-performance frontend and backend components using TypeScript, React, and Node.js. AI Integration : Leverage AI models, APIs, and automation services to create intelligent … with long-term technical vision. Preferred: AI/ML Feature Development: Experience building AI-powered features in a production environment. Foundational AI Knowledge: Solid understanding of LLMs (GPT, BERT), prompt engineering, and AI UX design principles. AI Ethics & Responsible AI Practices: Awareness of bias mitigation, fairness, and security considerations in AI-driven products. What's in it for More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

information session on Tuesday 29thOctober at 15:00. Please email us and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens' lives. Proven ability to collaborate with "non-engineering" disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

Partner with external AI specialists on cutting-edge projects Transform research breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge of embeddings, vector databases More ❯

at 15:00. Please email us ati-dot-ai-recruitment@cabinetoffice.gov.uk and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens’ lives. Proven ability to collaborate with “non-engineering” disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

at 15:00. Please email us ati-dot-ai-recruitment@cabinetoffice.gov.uk and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens’ lives. Proven ability to collaborate with “non-engineering” disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

at 15:00. Please email us ati-dot-ai-recruitment@cabinetoffice.gov.uk and we'll send you a link to join. Person specification Essential skills: Proficiency in Python. Strong software engineering skills with a focus on building robust, production-ready systems and understanding of deploying and monitoring such systems in a cloud environment. Experience designing software services with respect to … cloud environments, and pre-existing services with which yours must collaborate. Passion for building products that augment human capabilities and improves citizens’ lives. Proven ability to collaborate with “non-engineering” disciplines, such as design and user research, to plan and deliver work of provable value as part of a product team, including prioritising, breaking down and sequencing technical work … Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI/CD processes to support rapid, stable and continuous delivery of working software More ❯

LLM architectures (e.g., GPT, BERT, T5) and experience fine-tuning them for specific tasks. Demonstrable experience in utilising different model architectures and training techniques to optimize performance. Familiarity with prompt engineering techniques and frameworks like LangChain, LlamaIndex, or DSpy. Good understanding of LLM models, including other components like VectorDBs and document loaders. Strong analytical and problem-solving skills More ❯

intelligence and machine learning techniques: Proficiency in supervised/unsupervised/semi-supervised learning, neural networks, SVM, tree-based methods, and NLP. Expertise in generative AI tools: Experience with prompt-engineering, fine-tuning language models, and selecting the right models for various tasks. Proficiency in MLOps: Knowledge of building production applications in cloud architecture (Azure, AWS, or similar More ❯

AI, Machine Learning, or related field. Experience: 7+ years in AI/ML development, with expertise in Python, TensorFlow, and PyTorch. Core AI Knowledge: LLM Optimization (RAG, fine-tuning, prompt engineering) Vector databases for AI retrieval Multi-agent systems and reinforcement learning Cloud AI deployment (AWS, Azure), inference optimization A snippet of what you'll get in return More ❯

or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned More ❯

or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts, clauses, case law). Knowledge of LLMs and prompt engineering. Bonus: Familiarity with legal tech tools or platforms (e.g., Kira, Luminance, Relativity). This is an excellent opportunity for a Legal AI Engineer to join a highly renowned More ❯

Equities Quant Platform Engineering Lead - Python (Technology) - VP Overview Citi is a world-leading global bank. We have approximately 200 million customer accounts and a presence in more than 160 countries and jurisdictions worldwide. We provide consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking … with cutting-edge ideas, best-in-class products and solutions, and unparalleled access to capital and liquidity. What We do/The Team Are you a passionate and experienced engineering leader eager to build high-impact front office quant tools? Citi's Equities Technology team is undergoing significant growth and investment, specifically within our high-priority systematic trading and … analytics systems. We are seeking a hands-on Engineering Lead to drive the development of our next-generation quantitative development platform serving the Equities Cash, Derivatives, and Prime businesses. This is a unique opportunity to make a significant impact as the platform enters its key growth phase. You will be instrumental in shaping critical capabilities including building an event More ❯

models, but to integrate AI technologies, develop smart workflows, and craft high-quality prompts that improve internal tools, developer productivity, and customer experiences. You will work closely with product, engineering, and operations teams to embed AI capabilities across Paydock’s platform and internal processes using tools such as OpenAI, Anthropic, and other third-party AI APIs. Key Responsibilities Integrate … Face APIs) into internal tools and customer-facing applications. Design and implement workflows powered by AI, such as content summarization, support automation, documentation generation, or intelligent query handling. Develop prompt chains and prompt strategies for specific business functions (engineering assistance, product support, operational efficiency). Collaborate with cross-functional teams to identify and prioritize use cases where … AI APIs and tooling, and continuously assess potential opportunities. What We’re Looking For Proven experience integrating AI/LLM APIs into software systems or workflows. Strong experience in prompt engineering and chaining logic for AI-based tasks. Background in backend engineering (Python, NodeJS, or similar). Familiarity with tools like LangChain, OpenAI API, Pinecone, or similar More ❯

Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training, inference, and evaluation Integrate LLMs into end-user applications via APIs or custom … and optimize performance for accuracy, latency, cost, and safety Stay on top of the latest research in LLMs, including open-source developments and benchmarks Work closely with product and engineering teams to bring LLM-powered features from concept to production The Person: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field 3+ years of … LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated metrics Familiarity with deploying LLMs in cloud or containerised More ❯

tools for research automation, portfolio construction, and decision support. This is an R&D-focused role where you’ll be experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to prove out what's possible - then handing off validated concepts to engineering teams for scale-up. They’re open to either data scientists or engineers with … as you're willing to learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g. React) is a nice-to More ❯

tools for research automation, portfolio construction, and decision support. This is an R&D-focused role where you’ll be experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to prove out what's possible - then handing off validated concepts to engineering teams for scale-up. They’re open to either data scientists or engineers with … as you're willing to learn and engage with senior stakeholders. Key experience: Python for AI/ML, automation, or backend work Hands-on with LLMs, agent frameworks, or prompt engineering Exposure to investment data or a willingness to learn quickly AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g. React) is a nice-to More ❯

Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training, inference, and evaluation Integrate LLMs into end-user applications via APIs or custom … and optimize performance for accuracy, latency, cost, and safety Stay on top of the latest research in LLMs, including open-source developments and benchmarks Work closely with product and engineering teams to bring LLM-powered features from concept to production The Person: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field 3+ years of … LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated metrics Familiarity with deploying LLMs in cloud or containerised More ❯

Develop and deploy LLM-based solutions tailored to specific business needs (e.g., chatbots, summarization, content generation, semantic search) Fine-tune and customize pre-trained LLMs for targeted applications Conduct prompt engineering, few-shot learning, and to optimise model performance Build pipelines for scalable model training, inference, and evaluation Integrate LLMs into end-user applications via APIs or custom … and optimize performance for accuracy, latency, cost, and safety Stay on top of the latest research in LLMs, including open-source developments and benchmarks Work closely with product and engineering teams to bring LLM-powered features from concept to production The Person: Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field 3+ years of … LangChain, or similar Experience fine-tuning large transformer models or implementing retrieval-augmented generation systems Strong Python programming skills and familiarity with ML libraries (e.g., PyTorch, TensorFlow) Knowledge of prompt engineering best practices and prompt optimization Understanding of LLM evaluation methods, including human-in-the-loop and automated metrics Familiarity with deploying LLMs in cloud or containerised More ❯

users to prototype AI-driven tools for research automation, portfolio construction, and decision support. This R&D-focused role involves experimenting with Python, LangGraph (or similar), vector databases, and prompt orchestration to explore possibilities—then handing off validated concepts to engineering teams for scaling. Open to data scientists or engineers with strong Python and AI experience. Comfortable working … to learn and engage with senior stakeholders is essential. Key experience includes: Python for AI/ML, automation, or backend work Hands-on experience with LLMs, agent frameworks, or prompt engineering Exposure to investment data or quick learning ability AWS (or similar cloud) and rapid prototyping mindset Front-end exposure (e.g., React) is a nice-to-have but More ❯

semantic technologies, and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge representation, knowledge engineering, linked data. About the role The successful candidate will join the Distributed AI (DAI) group in the Department of Informatics … King's College London. They will carry out research in neuro-symbolic AI, with a focus on using generative AI and prompt engineering as a method to engineer knowledge graphs one can trust. This includes the design of algorithms and architectures, but also process blueprints and guidance for knowledge engineers to use generative AI tools productively. The post … in A and A* conferences and journals) and of open science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in theory and practice, is a firm requirement. The post is full-time (35 hours per week), offered on a fixed term contract for More ❯