51 to 75 of 105 Prompt Engineering Jobs in London

here isn't a bolt-on. It's the core of the product, already live with real users, with the evaluation frameworks and engineering squads already built. You'll own a product area within a core product squad, embedded with an Engineering Lead, a Product Designer … stakeholders. What you'll bring 5+ years in product, 2+ shipping GenAI, ML or agentic products to production. Real working knowledge of RAG, embeddings, prompt engineering and LLM evaluation. This is the bar, not passing familiarity. Enough Python and SQL to inspect model outputs yourself. Evidence-led decisions ...

embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph ...

agentic systems comply with AI ethics principles, data regulations, and BFT's governance frameworks. Role Requirements Technical Requisites Interest in large language models (LLMs), prompt engineering, and AI agent architectures. Interest in agentic or multi-agent frameworks (e.g., LangChain, AutoGen, CrewAI, OpenAI Assistants, or equivalent). Proficiency ...

with attention to detail Hands-on experience building and prototyping data models to address user needs Proficient in SQL and Python for data analysis, engineering, and transformation Relevant experience developing, testing, and refining data models using dimensional and relational approaches Curious mindset with a drive for continuous improvement Familiarity … with prompt engineering principles and LLM-based tools Effective communication skills to present data findings and support users Experience with ETL/ELT processes and architecture in data pipelines Experience building models for dashboard or cube consumption Familiarity with cloud-based data lake platforms such as AWS, Azure ...

data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering role with genuine ownership. You'll be involved throughout the AI lifecycle, from designing and deploying solutions through to monitoring, optimisation and governance. … working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning models into Azure enterprise environments. Azure Databricks, Azure Machine ...

seeking an AI Engineering Manager to build and lead a new AI team within a product‐led software development environment. You will shape strategy and execution for AI‐powered features and internal AI capabilities, ensuring measurable customer outcomes, high‐quality delivery, and scalable engineering practices. Location & Package Location … through ambiguity and rapid change, making pragmatic decisions and removing blockers. Measure success by customer outcomes, not just features shipped. Experience Required Experience leading engineering teams that build and scale end‐to‐end production systems. People leadership rooted in a software engineering background, with strong experience implementing ...

/Artifacts or related ecosystems. Familiarity with APIs, scripting or languages such as Python to prototype or integrate AI solutions. Awareness of agent orchestration, prompt engineering, RAG and AI evaluation techniques. Experience delivering AI capability-building or upskilling programmes , particularly in the public sector. This … traditional software engineering role - it sits at the intersection of strategy, transformation and hands-on AI build . It would particularly suit someone who enjoys working with stakeholders, shaping direction, and still getting close enough to the technology to make things actually work in practice. ...

apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi‐modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies … frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise‐scale applications. You have team lead experience Strong collaboration skills with the ability to work across engineering, research ...

such as AI generated reporting, commercial intelligence, and internal knowledge agents Integrate AI solutions into existing platforms and systems Contribute to Azure based data engineering, including pipelines and data modelling Work across multiple projects, shaping delivery and prioritising impact Collaborate closely with business stakeholders to scope and deliver solutions … Your Skills and Experience Strong commercial experience building production AI applications in a cloud environment Hands on expertise with LLMs, prompt engineering, and agent based workflows Data engineering capability, including ETL processes, orchestration, and working with large datasets Ability to design and deploy scalable, reliable systems Experience ...

augmented generation (RAG)AI reasoning and workflow orchestration Evaluate emerging AI models, tools, and frameworks and contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search … chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking, and knowledge discovery capabilities. Collaborate with engineering teams to deploy and scale AI-powered solutions. AI Evaluation & Experimentation Develop and apply evaluation frameworks for search and AI systems, including:IR metrics ...

development of AI-enabled solutions and establish best practice for the safe and effective deployment of AI agents. This is not a traditional software engineering position. We're looking for someone with practical experience building and implementing AI solutions who can bridge the gap between business and technology teams. … assistants, agent frameworks or similar platforms. Exposure to cloud technologies, APIs and solution integrations. Knowledge of Python, scripting or other programming languages. Understanding of prompt engineering, agent orchestration, RAG or AI evaluation techniques. Experience supporting AI capability building, training or adoption initiatives. Knowledge of AI governance, risk management ...

Azure, GCP, Databricks or similar technologies ·Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments ·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns ·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies ·Understanding of MLOps ...

library of reusable agent components and playbooks Proactively surface new automation opportunities across the business Key Skills Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) Prompt engineering & RAG pipelines Business analysis & stakeholder management Process mapping & workshop facilitation Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills Experience in a deployment or implementation-focused technical role Familiarity with RPA tools Product management or solutions engineering background Claude Code, Claude Cowork, or Claude Skills Experience 35 years in a role blending business problem-solving with hands-on technical building solutions engineering, technical consulting ...

library of reusable agent components and playbooks • Proactively surface new automation opportunities across the business Key Skills • Python & LLM agent frameworks (LangChain, CrewAI, LlamaIndex) • Prompt engineering & RAG pipelines • Business analysis & stakeholder management • Process mapping & workshop facilitation • Microsoft 365 & Microsoft Copilot No-code/low-code tooling (Zapier, Make … Desirable Skills • Experience in a deployment or implementation-focused technical role • Familiarity with RPA tools • Product management or solutions engineering background • Claude Code, Claude Cowork, or Claude Skills Experience • 3–5 years in a role blending business problem-solving with hands-on technical building — solutions engineering, technical consulting ...

technologies create measurable business value. You will join a collaborative environment where AI is a strategic growth area, working alongside experienced technology, data and engineering professionals to help clients realise the benefits of Generative AI and advanced analytics. The Role You will be responsible for developing and growing relationships … Generative AI, helping organisations understand where AI can deliver measurable operational and commercial value. Oversee the successful delivery of production AI solutions, guiding architecture, engineering and delivery teams while maintaining accountability for outcomes. Shape AI strategies and solution approaches across the modern AI stack, including Large Language Models (LLMs ...

strategy consulting firm, internal strategy, investment banking, private equity Deep knowledge and understanding of AI&ML preferred (esp. how to use GenAI tools/Prompt Engineering, retrieval-augmented generation (RAG) and agentic workflows) BSc or MSc degree in relevant field Outstanding ability to analyze problems and apply quantitative ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

design. * Experience with CI/CD pipelines (Azure DevOps). * Demonstrated hands-on exposure to at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings ...

identifying where LLMs create genuine product value versus where they introduce risk. This role sits at the intersection of business, data, and AI engineering - and requires someone who can operate fluently across all three. Own end-to-end product delivery for assigned AI initiatives - from use case definition through … deployment and iteration Work hands-on with LOB stakeholders and engineering to define requirements, validate AI outputs, and ensure solutions are fit for purpose Contribute to backlog prioritization and sprint planning alongside Product Owners and engineering leads Evaluate and document AI model behavior, edge cases, and failure modes ...

internal products Develop AI agents and workflow automation to improve operational efficiency Integrate AI solutions into existing systems and business platforms Contribute to data engineering pipelines and Azure based infrastructure Own multiple concurrent projects with autonomy and accountability Partner with stakeholders to scope use cases and shape the delivery … business Your Skills and Experience Strong commercial experience delivering production AI applications in a cloud environment, ideally Azure Hands on expertise with LLMs, prompt engineering, and agent based workflows Solid grounding in data engineering including ETL, orchestration, and working with large datasets Experience building scalable, reliable systems ...

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 #ICBCareers #ICBEngineering ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

planning within the technology department. Profile hands-on Java development experience; expert-level command of modern Java (17+) is non-negotiable. 2+ years leading engineering teams or operating as a tech lead/lead engineer with ownership of design and delivery outcomes. Deep Spring Boot expertise: REST APIs, Spring … DevOps) and driving deployment automation and quality gates. Demonstrated production (or near-production) experience with at least one of: LLM API integration, vector databases, prompt engineering, or RAG pipeline Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent) and a working understanding of embeddings ...

build tools, Git version control, Jira/Confluence, SQL databases, and Data Warehouses. AI Acumen: A solid understanding of the broader AI ecosystem, including prompt engineering and LLMs. Industry Knowledge: Experience in Financial Services or Insurance is highly desirable, but we welcome strong technologists from all sectors ...

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 ...

business teams Integrate Databricks/Unity Catalog as data foundation for AI features Write clear specifications before building; ensure proper test coverage Support prompt engineering, evaluation, and iterative improvement of deployed features Collaborate to displace outsourced delivery with in-house AI capability WHO YOU ARE Essential: Hands … production experience with Claude, OpenAI, or similar LLM APIs Strong Python engineering (API design, data pipelines, cloud-native development) Azure experience preferred Security and governance awareness (prompt injection, data boundaries, RBAC) End-to-end ownership mindset Desirable: Agentic frameworks and tool use experience MCP or equivalent connector patterns ...