1 to 25 of 34 Permanent Prompt Engineering Jobs in Central London

Technology Job Family Group: IT&S Group Job Description: We are looking for a Senior Enterprise Tech Engineer to establish and lead the Data Engineering squad within our global data team, supporting the Trading Analytics and Insights (TA&I) organisation within the Trading and Shipping (T&S) Entity. … engineers. Operating at true enterprise scale across multiple environments and subject area communities, you will bring deep expertise in Python and SQL data engineering, ETL, cloud data platforms and orchestration at scale. Working with TA&I sponsors and Technology product owners, you will define, design and implement the data ...

platform within complex enterprise environments. You will also help shape the conversational experience layer by translating customer requirements into AI Agent behavior through prompt engineering, LLM concepts, and conversational design. Prior conversational design experience is valuable but can be further developed on the job. You will work closely … into structured conversational components and reliable AI Agent behavior. Apply knowledge of LLMs, prompting strategies, embeddings, and context management to improve agent performance. Support prompt design, conversational flows, guardrails, escalation logic, and voice configuration such as SSML, lexicons, and regex. Apply structured testing to validate architecture, integration reliability, agent ...

Solution Architect to accelerate the adoption of Tencent Cloud's enterprise AI platform across Europe. This customer-facing technical role combines solution architecture, customer engineering, and hands-on AI implementation to help enterprises design, build, deploy, and scale production-ready AI applications. Leveraging Tencent Cloud TokenHub—a unified … access to leading Large Language Models (LLMs), AI Agents, and the Model Context Protocol (MCP) ecosystem—you will work closely with enterprise customers, Product, Engineering, Research, and Commercial teams to bridge business challenges with innovative AI solutions. Beyond solution delivery, you will serve as the technical bridge between customers ...

Insights team within the Global Technology Division sits at the centre of that effort — pairing deep asset-management business domain knowledge with hands‐on engineering to turn emerging AI capability into working solutions. We are seeking a Forward Deployed AI Engineer to embed directly with our Investment, Client & Support … entire lifecycle, from design and testing through to documentation. You will build on platforms such as Microsoft (Copilot, Cowork, Studio, Foundry) then work with engineering and the broader AI platform team to generalise what you learn into reusable platform capabilities. The successful candidate combines strong business understanding across asset ...

7+ years in developing IT solutionsProficient in Python & ReactJS and related technologies is required.Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essentialExperience with Agentic AI development & Java Spring Framework would be advantageousUnderstanding of full stack development and architecture patterns.Experience ...

leadership.Develop scalable enablement assets — including demo environments, architectural workshop templates, and POV accelerators — that compress time-to-value for the field.Partner with Product and Engineering to translate field-driven architectural insights into roadmap input and product improvements.Contribute to the global Architect community, sharing reusable IP and best practices that … data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript, SQL) and data frameworks.Understanding of agent interoperability ...

GenAI, Data Science and Python training to government and enterprise clients, both virtually and face to face Teach vendor-specific and bespoke courses covering prompt engineering, machine learning techniques and the NumPy ecosystem Design and develop courseware using instructional design principles and adult learning theory, tailored to client … Proven experience delivering technical training or facilitation to both technical and non-technical audiences, virtually and in person Strong knowledge of GenAI concepts and prompt engineering Solid grounding in machine learning techniques and Python, including the NumPy ecosystem Experience designing learner-centred courseware Eligible for, and willing ...

frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience with AWS or Azure, Docker and ideally Kubernetes Experience with PostgreSQL, MongoDB or similar databases Experience with CI/… using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role? You'll work ...

confident this is the role for you, make sure to apply asap. Skills and Competencies 8+ years of experience in software engineering, with deep hands-on experience designing, coding, testing, and operating scalable, resilient, production-grade backend systems and cloud-native services Expert-level coding capability in modern programming … quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from prototype to production, making practical engineering ...

ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments Lead end‐to‐end solution delivery, from discovery … Claude, Gemini or Mistral Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‐agent patterns Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency ...

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 ...

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 ...

support our clients transition to a sustainable future. Role Summary This is an exciting opportunity to join the expanding AI & Innovation team within Architecture & Engineering function at a key stage in SMBC EMEA's AI journey. The team plays a central role in shaping and delivering AI strategy, governance … control alignment and production readiness activities. Ensure all solutions align with AI Policy, AI Standard, security, data privacy and regulatory requirements Work closely with engineering and delivery teams to ensure solution designs are effectively implemented and meet intended outcomes. Provide hands-on support in prototyping, validation and troubleshooting where ...

evaluation frameworks, fine-tune foundation models, build custom AI models and create automated feedback loops to continuously improve performance. You'll work closely with engineering and product teams to deliver robust AI solutions that solve real-world compliance challenges. The ideal candidate will have experience within AI research … engineering, including hands-on work with LLMs, model fine-tuning and agentic systems. Experience with computer vision, model evaluation frameworks and MLOps practices would be highly beneficial. This is an excellent opportunity for someone who thrives in a fast-paced environment and wants to work on genuinely impactful ...

opportunity to impact your career and help you push the limits of what is possible. You will help teams adopt approved AI-assisted engineering practices that improve quality, speed, and operational resilience. If you enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful … ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Consultant level. You'll work alongside our CTO and engineering leadership, contributing to our internal AI platform and helping build AI solutions … delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping across emerging AI tools, frameworks and protocols Helping drive pragmatic AI adoption across engineering teams What We're Looking For Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with ...

escalation paths, and human-in-the-loop checkpoints Assess data readiness for AI use cases (data quality, identity resolution, harmonisation) in partnership with data engineering teams supporting Data 360 Plan and facilitate workshops to scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing … Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations Maintain stakeholder expectations, communicate trade-offs of AI-driven solutions (accuracy, latency, cost, risk ...

delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms … concepts into business value Ideal Candidate A hands on AI leader who has successfully delivered real‐world AI systems at scale, balancing technical architecture, engineering excellence, client engagement and delivery leadership within complex, mission‐critical environments. #J-18808-Ljbffr ...

building a modern, AI-powered outbound and pipeline generation motion in close partnership with Sales and Marketing leadership. The Revenue Systems and GTM Engineering function sits at the centre of this transformation, designing and operating the data infrastructure, Clay-based enrichment systems, and AI-driven workflows that enable … replace manual effort and improve outbound precision. The role reports to the Senior Manager, Revenue Systems, and works closely with the central GTM Engineering team, Revenue Operations, and Sales leadership. It offers a direct, visible impact on how our client builds and scales its commercial engine. What ...

growing client pipeline. This hire will play a key part in taking that capability forward. The Role This is a hands-on AI Engineering role at Senior Consultant level. You'll work alongside our CTO and engineering leadership, you'll work in a small pod - typically with … architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry - designed inside the build, not bolted ...

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 ...

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 ...

platform team, sharing field insights that shape product direction and model improvement. The role offers a unique opportunity to lead critical projects, shape engineering culture, and accelerate your career growth in the rapidly evolving field of generative AI. Role Responsibilities Own the full lifecycle of AI deployments within your … Embed directly with business stakeholders to understand their most pressing challenges. Translate complex domain requirements into well-defined technical solutions, operating as a trusted engineering partner rather than a distant service provider. Communicate progress, trade-offs, and outcomes clearly to leadership. Architect, build, and deploy cutting-edge AI applications ...

architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) * Iterating in short loops: demoing every few days, taking feedback, changing course without ceremony * Engineering for production from day one: guardrails, security and integration into the client's estate, scalability and telemetry - designed inside the build, not bolted … programme, and upskilling client engineers during Transform engagements * Evaluating emerging AI tools, frameworks and protocols, and making pragmatic adoption calls Essential Skills * Strong software engineering foundations - clean code, testing, CI/CD, production mindset - with strong general-purpose programming (e.g. Python, TypeScript) and proficiency in 2+ modern languages * Full ...

Data Science function, you will lead the development of innovative AI and ML solutions from concept through to production. You'll work closely with engineering, business stakeholders, and senior leadership to ensure solutions are robust, scalable, and deliver measurable value. Key Responsibilities Lead the design and development … governance. What We're Looking For Significant hands-on experience in AI, Machine Learning, and Data Science. Deep expertise with LLMs, Generative AI, Prompt Engineering, RAG, and Agentic Systems. Strong Python programming skills and experience with modern AI frameworks. Excellent understanding of statistics, machine learning methodologies, and model ...