151 to 175 of 210 Prompt Engineering Jobs in the UK

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break … re Looking For Relentless drive: You execute fast, adapt faster Startup scar tissue : You’ve shipped product with no safety net Fluency with AI/LLMs : LangChain, vector stores, prompt engineering Full-stack firepower : Frontend, backend, infra, no silos Product obsession : You care more about outcomes than outputs Experimental instinct: You build → test → learn → repeat Ideal Background There More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

business reports and dashboards Create ad-hoc reports based on stakeholder requirements Support the creation of KPIs and performance metrics Assist in data visualization best practices implementation AI Integration & Prompt Engineering Create and optimize AI prompts for various business applications Collaborate with teams to identify opportunities for AI-driven insights Test and refine AI-generated responses for accuracy More ❯

this. TechnicalFoundation You should have hands-on experience with: Working with AI APIs (OpenAI, Anthropic, or similar platforms) Building Python applications and scripts for real-world use cases Understanding prompt engineering and AI system design Integrating systems and troubleshooting complex technical issues Learning new technologies rapidly and independently What You'll Actually Do Every day will be different More ❯

role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring … perplexity, toxicity, and relevance to ensure safe and high-quality outputs. Deploy & monitor - Scale models into production with performance optimization and monitoring for drift. Collaborate & deliver - Partner with product, engineering, and design teams to launch user-facing AI features. What Is It Like Like ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for … up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust. Familiar with evaluation metrics: perplexity, toxicity, relevance. Strong software engineering foundations in algorithms, data structures, and More ❯

role is a global role with hybrid work arrangement - combining flexible remote work with in-office collaboration at our HQ. You'll work closely with regional teams across product, engineering, operations, infrastructure and data to build and scale impactful AI solutions. Why This Role Matters You'll fine-tune state-of-the-art models, design evaluation frameworks, and bring … perplexity, toxicity, and relevance to ensure safe and high-quality outputs. Deploy & monitor - Scale models into production with performance optimization and monitoring for drift. Collaborate & deliver - Partner with product, engineering, and design teams to launch user-facing AI features. What Is It Like Likes ownership and independence Believe clarity comes from action - prototype, test, and iterate without waiting for … up as you go. Requirements Strong experience in transformers, deep learning, and fine-tuning methods (LoRA/QLoRA, SFT, distillation). Proficiency with PyTorch (preferred) or TensorFlow. Skilled in prompt engineering and dataset curation for alignment with tone, safety, and trust. Familiar with evaluation metrics: perplexity, toxicity, relevance. Strong software engineering foundations in algorithms, data structures, and More ❯

Frontend (40%): Building polished, interactive UIs that handle real-time voice/video ● Backend (30%): Designing APIs, data models, and infrastructure ● AI Orchestration (30%): Implementing multi-agent systems and prompt engineering Core Responsibilities AI Agent Architecture ● Implement multi-agent systems using frameworks like LangChain, AutoGen, or similar ● Orchestrate specialized agents for assessment, content delivery, simulation, and feedback ● Design … reliable prompt chains and agent communication patterns ● Manage context and memory across user sessions Multimodal Integration ● Build interfaces that capture and process voice, video, and text inputs ● Integrate APIs for speech recognition, emotion detection, and body language analysis ● Implement real-time feedback on presentation skills (eye contact, tone, gestures) ● Handle multimodal data pipelines and storage Rapid Prototype Development ● Ship More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms to optimise ad performance and bidding logic Applying modern LLM techniques — from prompt engineering to retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years … experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll More ❯

As a Product Manager at The Stepstone Group, youll collaborate closely with other Product Managers, Product Directors, Designers, Researchers, Data Scientists and Analysts, and in partnership with our Software Engineering teams, deliver products that contribute significantly to our company mission: make successful hires happen. You will be part of a team that has a 'user first' approach and consequently … building and scaling up high traffic products. 2+ years working on technology-powered products as a Product Manager. Demonstrated ability to learn multiple functional areas of business e.g marketing, engineering, design, finance, sales, etc. AI-Specific Requirements:? We are looking for Product Managers that are also Product Builders: you have hands-on experience building user experience- or data- product … are proficient in at least one of the following areas: User-centric AI : hands-on experience with prototyping user experiences using platforms like Figma, Lovable or similar. Comfortable with prompt engineering and AI workflow design. AI assisted coding: experience with prototyping backend data products via assisted code writing, using agents or integrations like Claude Code, Cursor, Copilot, etc. More ❯

within a cross-functional pod. This role involves working on customer-facing AI features that enhance user research experiences from study creation to insight generation. This role involves advancing prompt engineering and LLM-powered product experiences, contributing to scalable, automated research workflows. In this role, you will: Spend a lot of time with our customers and users to … with our product vision Partner with your team by providing context, setting direction, and building alignment Drive customer-focused decisions, clear prioritization, and efficient execution Coordinate cross-functionally with engineering, go-to-market teams, and other key stakeholders across the company Contribute to processes that will scale as our team and company go through rapid growth Operate as a More ❯

and concise reports and presentations Required qualifications, capabilities and skills Experience leading teams to deliver production machine learning solutions Proficiency in Python and SQL and familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from … Lambda, Glue, S3 etc Experience in deep neural networks and familiarity with the latest developments in related fields Experience in LLM model finetuning and continuous learning techniques Experience in prompt engineering techniques and state-of-the-art LLM architectures ICBCareers #ICBEngineering ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to More ❯

managing project implementations. You've done this before but remain hungry and excited about doing it again with us. You're bright. A bachelor's degree in computer science, engineering, math, or revenue management (or similar field of study) is required. A master's in business administration is preferred. (or equivalent experience). You're street smart. You're … solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI tools to enhance productivity, insights, and decision-making, while adhering to ethical standards and best practices. Prompt Engineering: Skilled at crafting clear, structured, and effective prompts to optimize the quality, relevance, and utility of AI-generated outputs. Agentic AI: Understands the role of autonomous agents More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

direct client interaction. Experience in enterprise software delivery or digital transformation projects. Strong analytical and problem-solving skills, including debugging complex logic. Understanding of Large Language Models (LLMs) and prompt-engineering principles. Highly organised, proactive, and able to manage multiple projects simultaneously. Preferred: Familiarity with JSON, XML, or other structured data formats. Experience with rules engines, decision management More ❯