20 of 20 Permanent Prompt Engineering Jobs in Central London

applications. Our Solutions & AI Labs (SAIL) practice is looking for an experienced Senior Manager to lead consultancy engagements and grow our AI & Solutions Engineering capability. The Forward Deployed AI & Solutions Engineer role will lead the delivery of AI-enabled solutions embedded in our clients' teams, combining deep technical specialism … solutions directly embedded into business processes. We support clients across a number of industries and offer deep expertise in AI/ML, Cloud, Platform Engineering, and Managed Solutions. What you will be doing As a Senior Manager in SAIL, you will own and lead consultancy engagements ...

Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core … systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems ...

support AI applications Build scalable data pipelines for AI model training and inference Fine-tune, evaluate and optimise machine learning models Collaborate with software engineering teams to integrate AI capabilities into existing products Monitor model performance and implement continuous improvement processes Ensure AI solutions are secure, scalable and compliant … Language Models (LLMs) Knowledge of Generative AI technologies RAG (Retrieval Augmented Generation) implementation experience NLP and Conversational AI development Model training, testing and evaluation Prompt Engineering and AI workflow optimisation Programming & Frameworks Strong Python development skills PyTorch TensorFlow Scikit-Learn LangChain LangGraph Hugging Face FastAPI REST APIs Data ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical managers … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling … accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring ...

technology products across Mercer businesses. You will be the hands-on Tech Lead for a small UK-based team working closely with an India engineering pod, owning technical direction, delivery, and day-to-day engineering leadership. The role requires strong domain partnership (risk advisory/consulting stakeholders) alongside … pragmatic software engineering and architecture judgment. We will count on you to: Lead end-to-end delivery of CAT products (e.g., Concierge an agentic AI workflow tool, Prism a Mercer knowledge fabric for scheme data, and similar initiatives), from problem framing and design through build, release, and support. Translate ...

build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools … throughout - not just for coding, but across the entire workflow including design, testing, and documentation Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

OurclientisbuildingthemostadvancedAIplatformintheirmarket.Theyhelptheirclientsservecustomerswithunmatchedspeedandaccuracy. TheyveinvestedheavilyintobuildingtheMLstack,partneredwithleadinguniversities,andtrainedmodelsonmillionsofexpert-taggedimages.Now,theyrescalinggloballyandneedaworld-classLeadDataScientisttohelppushtheboundariesofcomputervision,videoanalysis,andmultimodalLLMswhilesolvingreal-worldchallenges. RoleOverview TheyarelookingforanexperiencedLeadDataScientisttospearheadmachine-learninginitiatives,withparticularfocusoncomputervision,largelanguagemodels,andproductionreadyMLpipelinesinAzure.Youwillactasthetechnicalleadfortheteam,settingdirection,guidingbestpractices,andensuringthesuccessfuldeliveryofhigh-impactAIsolutions. KeyResponsibilities Develop,train,anddeploycomputervisionmodels(objectdetection,imageclassification,segmentation,multi-modallearning) Fine-tune,evaluate,andproductionisemulti-modalLLMsforbusinessapplications. DriveexperimentationandprototypingofadvancedML ...