226 to 250 of 512 Prompt Engineering Jobs in the UK

APIs and scale them. DevOps Chops: AWS, Docker, CI/CD—you’ve shipped and scaled infra before. AI Native: You’ve built with OpenAI, Claude, or open models; prompt-engineering isn’t new to you. Database Fluency: MongoDB, PostgreSQL, Redis—you know when and why to use each. High Agency: You don’t wait for tickets. You More ❯

across Deliveroo. You will play a key role in developing in-house language and vision-language models using techniques such as fine-tuning and distillation. In addition to advanced prompt engineering, you will help us experiment with and evaluate various model architectures—including both open-source and commercial offerings—to identify the best solutions for our use cases. More ❯

Freelance GenAI Developer - Prompt Engineering & Data Workflows Freelance GenAI Developer - Prompt Engineering & Data Workflows 2 days ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What … prompts to refining model responses, you'll help shape the future of AI while ensuring technology benefits everyone. Requirements You hold a Master's or Bachelor's degree in Engineering, Applied Mathematics, Computer Science, or related technical fields. You have a strong technical background and hands-on experience with LLMs and AI frameworks to enhance automation and problem-solving 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 ❯

overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices … Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for … systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. More ❯

overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices … Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for … systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. More ❯

overnight, teach everyone around you why automation matters, and have fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices … Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven rapid-prototyping skills using Streamlit or equivalent frameworks for … systems (PostgreSQL, MongoDB) and caching layers (Redis); Open-source contributions or published AI demos; Understanding of cost-optimization, monitoring for LLM usage and model-API trade-offs; Familiarity with prompt engineering best practices and “vibe-coding” tools (e.g., GitHub Copilot, Cursor IDE); Willingness to travel occasionally for team offsites or workshops. #J-18808-Ljbffr More ❯

Financial Services – our mission is 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 refine LLM-based agents, focusing … 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 maintaining clear, structured outputs Apply back-end expertise for … success drives greater outcomes. Technical 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 balance token limits, cost, and More ❯

market applications including consumer, hyperscale 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 infrastructure across Cadence's portfolio … intelligence, helping to shape the 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-driven functionality across the whole … of industry trends and emerging 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 languages. Proven ability to lead More ❯

AI engineer - 7+ Years of IT experience with at least 2+ years in GenAI-based solution design and implementation. - Experience in developing and fine-tuning Gen AI models, including prompt engineering, model finetuning, and deployment. - Create and maintain prompt flow pipelines, streamline AI model performance, and enhance interaction with LLM-based systems. - Strong programming experience in Python. More ❯

Enhance our existing AI CFO agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent capabilities Develop and maintain tools Fine-tune and … memory systems and context management for AI agents Strong coding skills in Python and experience with Typescript Experience setting up and developing RAG flows Familiarity with vector databases Advanced prompt engineering capabilities Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.) Track record of shipping reliable AI systems to production Valuable Additional Skills: Experience with goal-oriented and More ❯

Enhance our existing AI CFO agents Design and implement memory systems Develop goal-setting and planning frameworks to increase agent autonomy Create robust evaluation methods to ensure reliability Optimize prompt engineering and LLM orchestration for complex financial scenarios Collaborate with our product and engineering teams to integrate enhanced agent capabilities Develop and maintain tools Fine-tune and … memory systems and context management for AI agents Strong coding skills in Python and experience with Typescript Experience setting up and developing RAG flows Familiarity with vector databases Advanced prompt engineering capabilities Experience with LLM orchestration frameworks (LangChain, LangGraph, LlamaIndex, etc.) Track record of shipping reliable AI systems to production Valuable Additional Skills: Experience with goal-oriented and More ❯

s where you come in. What you will be be doing (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 findings to customers alongside sales. … tools like Linear. Who you 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. Two years + experience in solutions architecture or integrating multiple applications/data streams, or ML development … within customer-facing roles. Intermediate 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 as a another fast-paced SaaS startup or scale-up during a high-growth More ❯

s where you come in. What you will be be doing (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 findings to customers alongside sales. … tools like Linear. Who you 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. Two years + experience in solutions architecture or integrating multiple applications/data streams, or ML development … within customer-facing roles. Intermediate 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 as a another fast-paced SaaS startup or scale-up during a high-growth More ❯

and we need more people to help us tackle them! If life at Marshmallow sounds like it could be for you, explore our Culture Handbook to find out more. Engineering at Marshmallow Our engineers are at the heart of the solutions. They work on product builds from start to finish, solving lots of challenges to help us build fast … Core, Ops Platform, Claims, Growth, Direct, In-Policy, Renewals, Mobile, and Core. Each team sets its roadmap and actively pushes our codebase forward. If you're curious about our Engineering culture and ways of working, check out the Engineering Handbook. And check out our Marshmallow App Demo as well here! About The Team You Will Be Joining Our … scalable backend platform to support rapid development, deployment, and management of AI solutions. Create reusable, declarative workflow definitions for AI agents to guide operations and decision-making. Apply advanced prompt engineering and orchestration to build reliable AI solutions with consistent performance. Advance operational excellence with monitoring, logging, and alerting systems to ensure reliable AI performance and positive impact More ❯

Support finance, security, infrastructure, and cross-functional systems alongside internal and external stakeholders. Deliver documentation, user guidance, and training across the firm. Skills & Experience: 3+ years in an application engineering role within a legal or professional services environment. Strong understanding of legal tech platforms (e.g., iManage, Litera, Intapp). Experience working with GenAI tools, prompt engineering, and More ❯

Support finance, security, infrastructure, and cross-functional systems alongside internal and external stakeholders. Deliver documentation, user guidance, and training across the firm. Skills & Experience: 3+ years in an application engineering role within a legal or professional services environment. Strong understanding of legal tech platforms (e.g., iManage, Litera, Intapp). Experience working with GenAI tools, prompt engineering, and 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 ❯

support client demos. Data Governance & Security: Ensure compliance with data policies and implement best practices in data privacy and ethical AI. What will you need? BSc in Computer Science, Engineering, Statistics, or related field with a passion for AI Proficiency in coding generative AI models, prompt engineering, and LLMs Familiarity with AI/ML algorithms, cloud deployment More ❯

with product, data, and bioinformatics teams to build AI solutions that are useful and scientifically aligned. Optimize model performance in production: latency, output quality, token usage, robustness. Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. We would like you to have: 6+ years of software development with strong … Anthropic) and orchestration frameworks (e.g., LangChain, LlamaIndex), including in production. Experience with retrieval pipelines and vector DBs for semantic search in LLM workflows. Strong grasp of agentic workflows and prompt engineering, including iterative refinement techniques. Excellent communication skills and team collaboration. Genuine interest in life sciences and applying AI in bioinformatics. Fluent English, written and spoken. It would More ❯

integrating Power Platform with other systems using Azure integration services or other API management platforms. AI Knowledge : Familiarity with AI concepts and frameworks, including Large Language Models(LLM), RAG, Prompt Engineering, Azure Cognitive Services and AI Builder. Certifications : Relevant certifications in Microsoft Power Platform and/or Azure/AWS cloud. About Capgemini Capgemini is a global business … unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

the development of our AI strategy that includes the use of GenAI and agentic, data-driven experiences across Nomia’s platform. You will sit at the intersection of product, engineering, procurement strategy and the customer — building AI solutions that intelligently manage dynamic sourcing flows, sourcing tasks, onboarding processes, and drive real business outcomes. Responsibilities Supporting the development of the … etc.) and ensure business case is measured Skills/Qualifications Direct experience dealing with SaaS platforms in the procurement industry focusing on scalable, AI-driven solutions Familiarity with LLMs, prompt engineering, and inference workflows from a user experience perspective Interaction with AI technology training and iteration from MVP to fully autonomous and self-learning Track record for delivering More ❯

Our Roku Mobile Backend team designs and implements robust backend services powering our mobile apps, ensuring optimal performance, low latency, and seamless scalability. If you're passionate about backend engineering and thrive on delivering innovative mobile-cloud solutions, we'd love for you to join us. We collaborate closely with client-side engineers, other backend teams, and product management … Collaborate cross-functionally with product, design, frontend, and other backend teams, driving seamless integration, consistency, and exceptional user experiences. We're Excited If You Have Expertise of backend software engineering Bachelor's or master's degree in computer science, Engineering, or related field (or equivalent experience). Strong proficiency in backend languages like Java or Python. Proficiency in … using AI tools (e.g., GitHub Copilot, ChatGPT) and experience with prompt engineering Demonstrable experience designing, building, and maintaining RESTful APIs, utilizing HTTPS, JSON, and WebSocket. Hands-on expertise developing and operating large-scale cloud services using Docker and Kubernetes. Proven capability in writing and maintaining comprehensive automated unit and integration tests. Deep understanding of distributed systems, microservices architecture More ❯

possible. Our ability to understand and curate content is critical to Reddit’s continued growth and success. The team needs a backend engineer who is well-versed in LLMs: prompt engineering, scripting jobs, retrieval-augmented generation, and automated data processing. To accelerate our goals, the team needs an engineer who can utilize the latest LLMs to parse through More ❯