20 of 20 Remote/Hybrid Prompt Engineering Jobs in London

Hybrid If Hybrid, how many days are required in office?: 3 days The Role In this role, the candidate will join a cutting-edge engineering team focused on designing and implementing enterprise-grade AI solutions using Azure AI Doc Intelligence, Azure OpenAI, and Azure AI Foundry. The position offers … secure, scalable, and high-performing AI solutions, including document intelligence workflows, generative AI applications, and retrieval-augmented systems. This includes working on model orchestration, prompt engineering, document extraction pipelines, and system integrations with enterprise platforms such as CRM, ERP, and workflow automation tools. The role requires close collaboration ...

reusable agent components with clear protocols and guardrails Establish orchestration patterns that scale reliably in production Ensure governance, safety, and compliance standards are met Prompt Engineering & Frameworks Design prompt chains and multi-step workflows for complex tasks Maintain centralised prompt and agent libraries with versioning … agentic systems in production Proven ability to operate autonomously and own complex systems end-to-end Technical Skills Strong understanding of LLM behaviour and prompt engineering Experience with agent architectures and multi-agent systems Comfort analysing logs, metrics, and system performance Familiarity with APIs, system integration, and workflow ...

applications, and retrieval‐augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI—ensuring solutions are robust, compliant, and production‐ready. This role suits a hands‐on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non‐functional requirements ...

applications, and retrieval augmented systems integrated with core enterprise platforms. You will collaborate closely with business stakeholders, product owners, security and compliance, data engineering, and application teams to translate business outcomes into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI-ensuring solutions are robust, compliant, and production ready. This role suits a hands on architect who can balance strategic vision with pragmatic delivery, establish engineering standards, and mentor developers while owning architectural decisions and non functional requirements ...

production-ready environments Integrate front-end components with AI models and back-end logic to deliver seamless, end-to-end functionality Perform data and prompt engineering to optimize model performance and outputs Optimize applications for performance, scalability, and security Collaborate cross-functionally with engineering, product … cloud platforms (AWS, GCP, or Azure) Experience of using AI to accelerate software development (using Github Copilot Coding Agents or similar) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firms long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies … enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking to design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration ...

insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both insurance-specific client outcomes and the firm s long-term AI engineering capability. As demand accelerates … across claims automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering ...

fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents, and workflows. Deploy and monitor AI models on cloud platforms (Azure preferred … quality outputs. Skills & Experience Agentic AI experience 6+ years of Python development with hands-on experience in Generative AI Strong experience with LLM APIs, prompt engineering, and vector databases (Pinecone, ChromaDB, FAISS) Proven team leadership and mentoring skills ; managing 3-5 engineers Cloud deployment experience with Docker/ ...

analytics within capital markets. Collaborate with front-office teams to integrate AI-driven models into production systems. Work alongside data engineers and platform engineering teams to enhance front-office performance. Optimise performance and scalability of AI applications in high-frequency environments, ensuring compliance with regulatory and security standards. Required … Experience Minimum: 4+ years in Software Engineering/AI Engineering roles. Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential) Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work ...

technology teams. Proficiency in Python or R; hands-on familiarity with agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI, Semantic Kernel, LangGraph). Strong prompt engineering skills and experience translating complex workflows into structured, agentic tasks. 7+ years of experience in investment management workflows (research, portfolio construction, trading ...

related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands-on experience with LangGraph or similar orchestration frameworks. • Understanding of AI lifecycle: prompt engineering, agent workflows, deployment, and monitoring. • Familiarity with LLMs and multi-agent systems. About Us: Ascendion is a leading provider of AI-first … software engineering services. Our applied AI, software engineering, cloud, data, experience design, and talent transformation capabilities accelerate innovation for Global 2000 clients. Ascendion is headquartered in New Jersey. In addition to our remote/hybrid workforce, we have 30+ offices across the U.S., UK, Poland, Romania, India, Australia ...

them. Implement identity & access (Entra ID), data isolation, Key Vault secrets, network security (Private Endpoints), and content filtering. Embed Responsible AI practices: safety filters, prompt/content governance, data privacy, red-teaming guidance, and human-in-the-loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls … SLIs/SLOs for AI services. Drive FinOps disciplinecapacity planning, token/cost controls, caching strategies, and model selection/optimization. Mentor engineers on prompt engineering, grounding, tool-use patterns, and quality evaluation frameworks. Essential skills: 15+ years overall in software/solution architecture with 7 + years ...

money or hardware at problems, our technology pinpoints the real root causes, using insight that only comes from deep experience in trading system performance engineering and first-hand knowledge from ex-technical traders. We’re now entering an exciting growth phase. Alongside our existing offering, we’re developing … safely and effectively reduce complexity or manual effort Designing and building internal tools such as: Lightweight GUIs for operational tasks Workflow automations for engineering and support teams Data enrichment or metadata tooling Prototyping quickly, validating with users, and iterating towards production-ready solutions Advising on model selection, cost ...

Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

first - sought by trading company based in London - Contract (OUTSIDE IR35 - Remote option available for outstanding candidates) What We're Looking For Backend Engineering Expertise 8+ years of software engineering experience with strong Java backend skills. Proven track record in modernising production systems and designing APIs/microservices. … Code, GitHub Copilot) and Model Context Protocol (MCP). Experience integrating AI into CI/CD pipelines and building AI-powered automation. Knowledge of prompt engineering, model selection, and LLM capabilities. Proven AI Impact Demonstrated success in using AI to improve productivity and code quality. Experience with ...

next 12 months. This is a company operating at pace, with an uncompromising focus on shipping, learning from real customers, and iterating quickly. Engineering quality matters, but speed, ownership and outcomes matter just as much. This is an opportunity to join at a formative stage and play a defining … technical foundations of the business. The Role This AI Engineer position reports directly into the CEO, sitting at the core of the product and engineering effort. You'll be responsible for building and shipping AI-driven functionality end-to-end, from experimentation and prompt design through to production ...

Government Digital Service) and NIST frameworks Conducting threat modeling, vulnerability assessments, and security audits for AI systems Advising stakeholders on secure AI development practices, prompt engineering, and safe AI agent deployment Supporting policy development and adherence to government security standards Collaborating with product, technical, and policy teams ...

reproducibility. Build and deploy machine learning models-including LLM-powered solutions -to solve real business problems. Partner with cross-functional teams (data science, software engineering, ML engineering) to develop full end-to-end production systems. Support architectural discussions and promote best practices in ML engineering and cloud … skills. Desirable Experience in banking or financial services. Exposure to customer-facing ML/AI systems. Familiarity with LLM fine-tuning, evaluation frameworks, or prompt engineering. Contract Details Location: London or Edinburgh Duration: 3-month initial contract Start: ASAP Working model: Hybrid Guidant, Carbon60, Lorien & SRG - The Impellam Group ...

Teaming: Lead adversarial campaigns to identify system gaps using automated frameworks and LLM-as-a-judge. System Alignment: Use Preference Tuning, automatic prompt optimization, and context engineering to align models with safety policies. Data Engineering: Query and manage complex datasets to produce high-quality training and benchmarking … Proven experience in adversarial testing and model alignment. Tech Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline ...