101 to 125 of 280 Prompt Engineering Jobs in London

solutions in a regulated financial environment. Discovery & Co-creation: Lead intensive discovery phases, collaborating closely with internal Investor Services clients, product, operations, and engineering teams to uncover needs, define use cases, and co-create rapid prototypes. Facilitate workshops and design sprints to refine concepts and gather feedback. Forward Engineering & Prototyping: Drive a forward-engineering mindset, constantly scanning the technology landscape for emerging Generative AI capabilities and tools. Experiment with new technologies, build proofs-of-concept, and rapidly iterate on prototypes to validate hypotheses relevant to Investor Services. Industrialize & Scale solutions: Oversee the end-to-end lifecycle ...

operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows). … Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time-boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines ...

integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing … agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem‐solving skills and ability to work independently and collaboratively. ...

integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling. Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations. Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing … agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph. Knowledge of generative models including transformers, GANs, VAEs, and diffusion models. Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques. Familiarity with cloud platforms and containerization technologies. Strong problem-solving skills and ability to work independently and collaboratively. ...

motivated, and passionate. Independent, insistent, and open‐minded. Great team player, dependable and autonomous. Data‐driven decision maker. Requirements 8+ years of professional software engineering experience, with a strong background in Python, TypeScript, C++, or C#. Proven experience building complex AI systems, with hands‐on expertise in Retrieval‐Augmented … Agent architectures. Deep, hands‐on experience with LLM APIs and/or fine‐tuning and serving open‐source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. Excellent problem‐solving skills and the ability to work on complex, ambiguous projects, delivering ...

operable after the squad moves on. Keep abreast of new technology developments. Take on related responsibilities as the squad's needs evolve. Requirements Engineering experience: 3+ years in software engineering, with hands‐on experience building LLM‐powered applications in production (RAG, tool‐augmented agents or agentic workflows). … Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working autonomously within a defined problem and pushing back when something doesn't make sense, and delivering in short, time‐boxed cycles where validated outcomes matter more than perfect solutions. Agentic AI/LLMs: Building RAG pipelines ...

Todayjob requisition id: R-018193**Main purpose**Trafigura is recruiting a hands-on Forward Deployment Engineer (FDE) to sit at the intersection of product engineering and business outcomes within an assigned business domain. The FDE embeds directly with business stakeholders, leads technical deployments end-to-end, builds bespoke integrations … Shipper) so that builders and engineers can ship safely and quickly.* Use AI tooling to automate diagnostics, pre-analyse domain data, and reduce manual engineering lift across development, test and production environments.**Governance, Security and Controls*** Integrate engagement-layer applications with Azure Entra ID for single sign-on (OIDC ...

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast … strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilitiesLead delivery of complex features and services by shaping solution options, driving design decisions ...

dust this is the role you've been holding out for. You'll join a highly regarded transformation consultancy where strategy, science, creativity and engineering meet, working with major public and private sector clients on Generative and Agentic AI solutions that deliver visible, real-world impact. … production-grade deployments. Proven delivery of solutions using traditional Machine Learning, Generative AI models and Agentic AI frameworks in client-facing environments, including data engineering in cloud environments. Strong Python (3.10+), TypeScript, JavaScript (ES6+), SQL and Bash. Front-end: React.js, Next.js (App Router & Server Components), Tailwind CSS, ShadCN ...

Lead AI Engineer (Senior/Principal Consultant)Location: London (Hybrid) | Practice Area: Technology & Engineering | Type: PermanentEmpower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The RoleWe're looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery … Team. You'll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you'll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes ...

management, and decision-making within the investment banking domain, applying quantitative analysis, mathematical modelling, and technology to optimise trading and investment opportunities. Accountabilities AI Engineering & Platform Development Design and develop shared AI platform capabilities used across Global Markets. Build scalable infrastructure for machine learning and generative AI workloads. Define … Establish standards for model deployment, versioning, evaluation, monitoring and observability. Improve reproducibility, governance and operational resilience of AI systems. Define processes and tooling for prompt management, agent evaluation and model performance tracking. Build automation that improves the speed and quality of AI development and deployment. Cloud & Infrastructure Design cloud ...

Join a team where your engineering decisions matter at scale. At JPMorganChase, we build production-grade software that powers critical Global Banking businesses — and we're looking for engineers who take ownership, raise the bar, and grow fast. You'll work in a culture of strong code reviews, fast … strengthen operational stability. This role offers the opportunity to grow your technical influence, explore AI and GenAI patterns responsibly, and build a long-term engineering career within a firm that invests in its people. Job responsibilities Lead delivery of complex features and services by shaping solution options, driving design ...

move the needle on revenue, cost, productivity or decision-making, articulate that value clearly to senior stakeholders, guide proof-of-concepts and work with engineering teams to turn ideas into scalable solutions. This is not a research-only AI role. It is focused on applied AI, client impact … concepts, prototypes, demos and reusable accelerators. Define clear success criteria for AI POCs and ensure delivery is focused on measurable outcomes. Work with engineering, data science and analytics teams to build working solutions. Help move AI ideas from experimentation into practical delivery. Own the quality of AI deliverables, actively ...

role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities Lead the design, development, testing … leadership, mentoring, code reviews, and guidance to development teams. Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. ...

role requires experience designing, developing, and delivering AI solutions for large-scale organisations. We are seeking a hands-on technical leader with strong AI engineering capabilities to lead proof-of-concept development and production implementation while providing technical leadership across the delivery lifecycle. Responsibilities Lead the design, development, testing … leadership, mentoring, code reviews, and guidance to development teams. Assess technical feasibility, integration requirements, data readiness, and solution constraints when defining AI solutions. Apply engineering best practices for AI deployment, monitoring, optimisation, security, and lifecycle management. Ensure AI solutions comply with architecture, security, DevSecOps, Responsible AI, and regulatory standards. ...

crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real‐time data grounding systems, perform prompt engineering, manage multi‐agent communication protocols, and deploy automated supply chain and back‐office workflows into production from day one. What … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI‐Assisted Engineering: Leverage modern AI tools (Cursor, Claude, Vibes) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

platform that powers the answer: you lead discovery, design the approach, write the code, and own it in production. This is a hands-on engineering role for someone who is as comfortable in a working session with a business team as they are building a retrieval pipeline or hardening … systems rather than demos. Architect and implement end-to-end retrieval-augmented generation pipelines, including parsing, ingestion, chunking strategy, embeddings, vector storage, retrieval, and prompt management. Build agents and agentic workflows that plan and execute multi-step tasks within explicit, auditable boundaries, with guardrails that keep behavior safe ...

architectures, and tool-use capabilities. Developing custom AI workflows using large language models, retrieval systems, and multi-agent architectures. Collaborating closely with product and engineering teams to embed AI into real-world business processes. Contributing to the architecture and evolution of a proprietary AI platform in a truly greenfield … technical direction and best practices. What We're Looking For Commercial experience designing and building AI, machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge ...

crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one. What … Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware. AI-Assisted Engineering: Leverage modern AI tools ( Cursor, Claude, Vibes ) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days ...

Groups. Continuously improve and evolve AI and data solutions based on business outcomes and user feedback. Essential Skills & Experience Strong commercial experience in AI Engineering and/or Data Engineering. Hands-on experience building AI agents and agentic workflows. Strong knowledge of prompt engineering and RAG. Strong … with workflow automation and AI-powered business solutions. Understanding of DevOps, testing and monitoring for production AI/data solutions. Strong understanding of data engineering principles and scalable solution design. Ability to work with business stakeholders and translate requirements into technical solutions. Desirable Skills & Experience Experience within financial services ...

systems in production. This is an AI Engineer role for someone with a real curiosity for AI and a firm grounding in software engineering, who wants their work shipping to real users rather than sitting in a proof of concept. You'll sit in a cross-functional team alongside … Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost optimisationExperience with cloud platforms (AWS, GCP or Azure) and infrastructure-as-code such as TerraformHands-on with DevOps practices ...

Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JP Morgan Chase. AI Engineering tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software … Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMC businesses as they grow. As a Principal Software Engineer at JPMorganChase within CDAO ...

probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised). Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation. Strong communication and data presentation skills with the ability to build convincing recommendations and sell these … Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding). Experience developing Generative AI projects. Experience of exercising software engineering best practices. E.g. test-driven development, smart data structure and algorithm selection. Experience in using cloud environment (e.g. Azure, AWS). Experience using Azure Databricks ...

Prompt Engineer (Claude/Claude Code) - Mortgage Sales £695 per day Outside IR35 Ideally London 1 day per week/Can be fully remote A leading UK mortgage technology provider is looking for a Prompt Engineer with strong Claude and Claude Code experience to support the development … making sure the requirements, prompts and AI outputs are right. What you'll need: Strong hands-on experience with Claude and Claude Code Prompt engineering experience, including prompt design and optimisation Excellent requirements gathering and stakeholder engagement skills The ability to understand business processes and translate them ...