76 to 100 of 105 Prompt Engineering Jobs in London

translate complex analytics into business insights and decisions Proficiency in data visualisation and storytelling Understanding of model governance, validation, and explainability Familiarity with AI, prompt engineering, and large language model (LLM) applications Strong stakeholder engagement and communication skills in complex environments Qualifications Bachelor's or Master's degree … Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field Professional certifications in data science, machine learning, or analytics (e.g. Coursera, edX, or cloud certifications) are desirable Additional certifications in risk analytics, operational risk, or model risk management are advantageous Proven years of experience in data science ...

business problems Apply advanced techniques including optimisation, forecasting, statistical modelling and AI Develop LLM-based solutions, including: Retrieval-Augmented Generation (RAG) Fine-tuning and prompt engineering Agent-based workflows Work with large and complex datasets, both structured and unstructured Write clean, scalable Python code for model development … Translate technical outputs into clear, commercially relevant insights Engage directly with stakeholders to define problems and shape solutions Collaborate with multidisciplinary teams across data, engineering and strategy At Manager level, you will also: Lead projects or workstreams end-to-end Manage and mentor junior team members Own stakeholder relationships ...

Data | Engineering & Delivery Location: UK (Hybrid) Salary: Up to £115,000 + Bonus + Benefits Overview An exciting opportunity has arisen for an experienced Associate Director to join a growing AI and Data team within a well-established consulting environment. This role combines business development, client engagement, strategic advisory … with executive and senior leadership stakeholders. AI & Technology Knowledge Strong understanding of modern AI technologies and concepts, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases AI Solution Architecture MLOps Principles AI Governance and Risk Considerations Candidates are not expected ...

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 … 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 EEO Statement We are an equal opportunity employer and place a high value on diversity ...

this is the kind of scale and impact you're looking for, we'd love to hear from you.What You’ll do:Own the engineering bar. Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last – not just … Need:A collaborative team player who lifts those around them (We believe in: One team. One fight!)8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in productionSolid understanding of distributed systems, scalability, RESTful patterns ...

Good understanding of AI technologies such as Generative AI, Large Language Models (LLMs), workflow automation or intelligent document processing. Experience working closely with software engineering, AI or data teams. Exposure to prompt engineering, AI tools or automation platforms would be highly advantageous. This role is on-site ...

shaping and delivering enterprise-scale AI solutions, helping clients move from strategy and proof of concept through to deployment. Working alongside business leaders, engineering teams and technical stakeholders, you will define AI architectures, establish best practices and ensure successful implementation of modern AI platforms and services. This … Experience Proven experience designing and delivering enterprise AI, Machine Learning or Advanced Analytics solutions Strong understanding of modern AI technologies including Generative AI, LLMs, Prompt Engineering, RAG and Vector Databases Experience architecting production-grade AI platforms and applications Strong knowledge of at least one major cloud platform (Azure ...

with research, product, and platform teams to shape the future of AI agent development and Sierra s product. What you'll bring Experience leading engineering teams that build and scale end-to-end production systems Strong technical problem-solving skills and the ability to guide teams through ambiguous, fast … related experience (experience developing AI agents a plus). Experience building or deploying AI/LLM systems in production Background as a founder, engineering lead, or startup builder with high ownership and urgency Familiarity with tools for today s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt ...

means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders ...

translating AI capabilities into measurable business outcomes, cost efficiencies and revenue opportunities. Direct the delivery of complex AI programmes, providing oversight of solution architecture, engineering approaches and implementation strategies. Ensure secure, responsible and compliant deployment of AI technologies, including governance, risk management and ethical AI considerations. Build, mentor … maintaining strong commercial performance and delivery quality. Required Experience: Strong commercial understanding of the modern AI ecosystem, including: Generative AI Large Language Models (LLMs) Prompt Engineering Retrieval-Augmented Generation (RAG) Vector Databases MLOps Experience leading the implementation of enterprise-scale AI solutions and being accountable for delivery outcomes. ...

fast‐moving revenue‐generating pre‐seed startup already running frontier AI models in production. You’ll work directly with the founders, own AI engineering end‐to‐end, and have a major impact across product quality, infrastructure efficiency and technical direction. What we’re looking for 5+ years’ experience within … Applied AI/ML/MLOps Strong Python and production AI systems experience Experience with LLMs, Generative AI, prompt engineering or agentic workflows Exposure to AI infrastructure, deployment, evals or optimisation Startup mindset with a hands‐on, product‐focused approach Computer vision/video/VFX/rendering ...

teams to align architecture with business objectives. Provide technical leadership and governance across AI work streams and delivery teams Drive best practice in AI engineering, model management, and data science operations Evaluate and select appropriate AI frameworks, tools, and cloud services to meet enterprise requirements Support the integration … systems Skills and Experience Proven experience delivering AI solutions at enterprise scale in production environments Strong background in Generative AI — including LLMs, prompt engineering, and model fine-tuning Hands-on experience with Hugging Face (model hub, Transformers, Inference API) Experience with AWS AI services (SageMaker, Bedrock, Rekognition, Comprehend ...

exceptional private equity investment business that has recently made a major investment into AI and technology, including hiring a Global Head of AI Engineering to build and lead the function. As part of this growth, they are looking to hire both a Senior AI Engineer and a Lead … influence architecture, tooling, technical direction, use cases and long-term strategy from day one. The environment itself is highly technical, intellectually strong and engineering-led, with significant buy-in from leadership and investment into modern tooling and infrastructure. The Role Depending on level, responsibilities are likely to include: Designing ...

Agentic AI or AI-powered applications. Microsoft Copilot Studio. Azure OpenAI. Google Gemini. Generative AI and Large Language Models (LLMs). AI agent development. Prompt engineering. AI governance and responsible AI principles. Enterprise AI platform support or administration. Experience with similar enterprise AI platforms or agentic AI technologies will ...

responsibilities and tasks associated with this role before proceeding. JOB DESCRIPTION As a Software Engineer II - Applied AI in the AI/ML for Engineering team at JPMorganChase, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions … automate processes. This role offers a unique blend of artificial intelligence and software engineering, allowing you to advance engineering processes and build impactful products. In this role, you will leverage the latest research in Large Language Models, Natural Language Processing and statistical machine learning to build AI-powered ...

vector search, indexing strategies Document Intelligence - OCR, form extraction, document processing pipelines Content Understanding - classification, summarisation, enrichment models Azure AI Foundry - model orchestration, evaluation, prompt engineering, governance Solution Design Authority Provide architectural direction to engineering teams, ensuring that design decisions are technically sound, cost-efficient, and aligned … with the target architecture. Technical Leadership & Mentoring Support engineering teams with architectural guidance, design patterns, and best practices. Act as the escalation point for complex technical decisions. Stakeholder Collaboration Work closely with product owners, business stakeholders, data teams, and delivery leads to translate requirements into scalable, secure, and maintainable ...

design and delivery of AI solutions across a range of projects. You will act as the go to person for AI from an engineering perspective and support teams in how they build with this technology. You will work with engineers and external partners to deliver scalable solutions. You will … roadmap. What they are looking for They are looking for someone who has operated at Principal or Lead level in an AI focused engineering environment. You will need strong experience designing and delivering AI or machine learning solutions. Hands on experience with LLMs and prompt engineering ...

projects. What You Will Learn Throughout the traineeship, you will develop an understanding of: Artificial Intelligence Fundamentals Generative AI and Large Language Models (LLMs) Prompt Engineering AI Productivity Tools Workflow Automation Business Process Automation AI Agents and Autonomous Workflows No-Code and Low-Code Automation Platforms API Integrations … realistic AI and automation projects that may include: Designing AI-assisted workflows Building automated business processes Developing AI-powered chatbots and assistants Creating prompt libraries for business use Automating repetitive administrative tasks Integrating business applications using automation platforms Producing AI-generated content for business scenarios Analysing existing business processes ...

Experience in communications and/or upskilling, learning, and development roles Foundational knowledge of artificial intelligence, machine learning, and generative artificial intelligence, including basic prompt engineering concepts, key risks, and responsible AI principles in a regulated environment Strong verbal and written communication skills, with ability to translate complex ...

/CD Specialist with hands-on experience to automate, optimize, and manage our client core infrastructure deployment workflows. This role focuses on accelerating engineering velocity while maintaining strict operational resilience. You will serve as the team's automation champion, driving modern AI-assisted coding practices and ensuring seamless application … Responsibilities Infrastructure Automation: Design, review, and maintain robust Ansible playbooks and Terraform configurations to automate routine server provisioning, lifecycle workflows, and configuration management. Pipeline Engineering: Build and optimize end-to-end CI/CD pipelines (GitHub Actions, GitLab CI/CD) to ensure high availability, zero-downtime deployments ...

Support containerised deployments using Docker and Kubernetes Mentor engineers and provide technical leadership across UI development Drive adoption of AI-assisted development approaches including prompt engineering and tools such as Copilot Collaborate with product, UX, backend and DevOps teams across the full delivery lifecycle Required Experience Strong experience … pipelines Strong focus on performance optimisation techniques such as lazy loading and code splitting Experience using AI development tools (e.g., GitHub Copilot) within engineering workflows Nice to Have Event-driven architecture experience (Kafka, async patterns) Observability tools (Prometheus, Grafana, ELK) Frontend security (OAuth2, JWT) Automated testing frameworks (Cypress, Playwright ...

prevention through AI/ML Ships product changes with care and quality in line with the organisation s governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that … learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated industry #ICBCareers ABOUT US J.P. Morgan is a global leader ...

prevention through AI/ML Ships product changes with care and quality in line with the organisation’s governance requirements, in close partnership with engineering Builds strong relationships with clients and stakeholders and understand their requirements to a high degree of detail Contributes positively to a team culture that … learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated industry We recognize that our people are our strength ...

working with a well-funded AI startup that's redefining how businesses automate complex operational work. This isn't prompt engineering or chatbot deployment. Their technology handles end-to-end workflows — directly inside the tools their customers already use — with no integration overhead and no upfront cost. Customers ...

phase of the company's growth. Skills & Experience Experience within insurance or financial services (this doesn't need to be purely technical)Hands-on prompt engineering experienceExperience working in a GCP environment (or strong exposure)Someone who already has an AI-first mindsetComfortable working with different teams ...