251 to 275 of 377 Prompt Engineering Jobs in England

technical direction while driving the quality, scalability, and reliability of next‐generation AI‐powered systems. This role operates at the intersection of research, software engineering, and advanced testing, transforming cutting‐edge ideas into robust, production‐ready platforms. This is a senior individual contributor leadership role: the Senior AI Engineer … across the company, and define a coherent platform vision that scales beyond your immediate team. Design reusable abstractions, SDKs, and services for model integration, prompt management, experimentation, and deployment that establish organization‐wide patterns and reduce duplicated effort. Research and delivery excellence Help define the evaluation strategy and methodology ...

workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python code and partner with engineering teams to deploy solutions at scale. Provide technical leadership and mentoring to support high-quality delivery and continuous improvement. Requirements Practical experience in data science … building AI/ML, NLP, generative AI, and retrieval-based systems in applied or product-focused environments. Expertise working with LLMs, including fine-tuning, prompt engineering, grounding strategies, and responsible AI practices. Strong Python skills and solid machine learning fundamentals. Experience working with large-scale text or content ...

documented data controls, reports and dashboards — using a modern, automated tech stack. This role is best suited to an analytically minded person with an engineering mindset: someone who instinctively looks to automate and simplify rather than accept a manual, spreadsheet-driven process, and who is confident proposing new ways … enabled tools (e.g. Claude, Copilot) responsibly to accelerate analysis, coding, QA and documentation, within agreed data-handling and compliance guardrails. Contribute to modern software-engineering practices for analytics: version control (git), peer review of dbt models/queries, and lightweight CI/CD where relevant. Ways of Working & Continuous ...

deploying AI/ML solutions is highly preferred, we also value candidates who bring strategic expertise in AI/ML solution design, model selection, prompt engineering, and responsible AI practices. You should be comfortable discussing topics ranging from model fine-tuning and RAG (Retrieval-Augmented Generation) architectures … here to help you develop into a better-rounded professional. Basic qualifications- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Experience in design, implementation, or consulting in applications and infrastructures- Experience in IT development or implementation/consulting ...

functional teams to drive improvements, implement best practices, and ensure the reliability of the systems powering our global payment network. Key Responsibilities: AWS Infrastructure Engineering: Design, build, and maintain AWS services at scale, including:EC2, EKS, ECR, S3, KMS, VPC, RDS, ElastiCache, OpenSearch, SageMaker, and CloudWatch. Maintain and optimise … vulnerability management processes and remediation work. Ensure infrastructure compliance with internal and external security standards. Collaboration & Documentation: Collaborate with developers, data teams, and platform engineering to ensure infrastructure meets product and compliance needs. Produce clear technical documentation, runbooks, and architectural diagrams. Contribute to knowledge sharing and help mentor associate ...

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 ...

solutions and machine learning architectures. This team is dedicated to enhancing our financial crime mitigation operations through advanced tooling, automated evaluation frameworks, and prompt optimization, aiming to streamline reviews and simplify the work of our operations staff. As a Lead Data Scientist (IC3), you will drive technical strategy across … labeling taxonomies and guidelines with EDD SMEs, construct evaluation datasets, and implement automated eval harnesses to systematically measure accuracy, precision, recall, and failure modes. Prompt Optimization & Experimentation: Audit existing prompts and run structured experiments (few-shot, chain-of-thought, context ordering) within a hypothesis-driven testing framework to reduce ...

will directly enhance the Ultralytics Platform and empower our global community of developers and researchers. Skills and experience 5+ years of experience in software engineering, with a strong focus on AI and machine learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience … experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB. Practical knowledge of LLM fine‐tuning, prompt engineering, and performance optimization. Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions. A strong interest in computer vision ...

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 ...

onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised university … tools rather than occasional aids Bias for action; prefers experimentation and data-driven iteration over extended planning Desirable Hands‐on experience building with LLMs, prompt engineering, or AI agent frameworks in a production environment Background in data analysis, process optimisation, or computational modelling Internship or work experience ...

Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data … Legal, Compliance, CISO, Privacy, Procurement, and business teams to address emerging AI risks. Facilitate technical risk discussions and help resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect. Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues. Support ...

Ten10, we have deep roots in Quality which means we dont just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Heres why youll love being part … data or transformation projects. Project experience with Microsoft AI technologies, including Microsoft Copilot Studio and/or Microsoft Foundry. Understanding of AI agent design, prompt engineering and evaluation techniques. Whats in It for You? At Scale Factory, we believe in recognising and rewarding great work. Heres what ...

have deep roots in Quality which means we don’t just build for the future, we ensure it actually works. We combine this engineering discipline with cutting-edge AI expertise to deliver robust, scalable foundations that turn ambitious transformation into reliable reality. Here’s why you’ll love being … data or transformation projects. Project experience with Microsoft AI technologies, including Microsoft Copilot Studio and/or Microsoft Foundry. Understanding of AI agent design, prompt engineering and evaluation techniques. What’s in It for You? At Scale Factory, we believe in recognising and rewarding great work. Here ...

London office Tuesday to Thursday Nice to have: Experience in fintech, financial services or other regulated environments Familiarity with RAG pipelines, embeddings, prompt engineering or agentic frameworks Cloud platform experience (AWS/GCP/Azure), CI/CD, infrastructure-as-code Open-source contributions or a portfolio ...

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 ...

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 … LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest in moving into ...

organisation that's making a significant investment in AI, building intelligent products that are transforming the way people work. As part of a growing engineering team, you'll play a key role in designing and delivering production AI applications with real-world impact. This is a hands-on opportunity … date with the latest developments across the AI ecosystem. What We're Looking For Commercial experience building AI applications with LLMs. Strong Python engineering skills and experience shipping production code. Experience with RAG, prompt engineering, model evaluation or fine-tuning. Knowledge of modern front-end technologies ...

client is a global professional services and technology consultancy. YOU ARE You lead the complete knowledge engineering scope on our most strategic and complex programs; lead creation of thought leadership, innovation, and assets for the discipline. You own how the most demanding programs formulate real-world problems into scalable … sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well-versed in Python, with experience ...

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 Perk builds and scales its commercial engine. What ...

come to the right place. About the Role Production leadership required. Builder mindset non-negotiable. Salesforce is hiring a RVP Forward Deployed Engineering, Salesforce/Portfolio Leader to directly manage and grow a team of technical AI specialists deploying Agentforce solutions inside complex customer environments. This is a hands … leadership role for someone who can drive engineering excellence while operating at the executive level. This is not a traditional people manager, but a mission-critical multiplier on the agentic frontier. You will lead a blended delivery team made up of two specialist functions: Forward Deployed Engineers (Technical Builders ...

range infrastructure using containers and KubernetesDeliver AI features from initial design through to production, including evaluations, guardrails and monitoringImprove agent performance through prompt engineering, tool orchestration, evaluation and token and cost optimisationIntegrate security tools and enable agents to operate safely within defined scopesWork closely with security researchers … technical design sessions while supporting the development of other engineersContribute to reliable, scalable production systems across a polyglot technology environmentJob Requirements: Significant software engineering experience, with a proven ability to build and scale production systemsStrong Python development skills and willingness to work with or learn GoHands-on experience building ...

range infrastructure using containers and Kubernetes Deliver AI features from initial design through to production, including evaluations, guardrails and monitoring Improve agent performance through prompt engineering, tool orchestration, evaluation and token and cost optimisation Integrate security tools and enable agents to operate safely within defined scopes Work closely … design sessions while supporting the development of other engineers Contribute to reliable, scalable production systems across a polyglot technology environment Job Requirements: Significant software engineering experience, with a proven ability to build and scale production systems Strong Python development skills and willingness to work with or learn Go Hands ...

agreement metrics (Cohen’s kappa, correlation, precision/recall) and systematically detect judge failure modes such as position bias, verbosity bias, self-preference, and prompt sensitivity. Curate Benchmark Datasets & Rubrics: Define sampling strategies, detailed annotation guidelines, and scoring rubrics. Measure inter-annotator agreement and manage label noise to ensure … Error & Trajectory Analysis: Conduct hands‐on failure analysis on agent runs, cluster root causes into actionable error categories, and clearly communicate findings to both engineering teams and stakeholders. Drive Harness Scaffolding Iteration: Translate evaluation results directly into architectural improvements across agent scaffolding, prompt design, tool execution loops, context ...

Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns. Knowledge & Memory Engineering: Leverage Zendesk's Context Graph (operational memory layer) and Knowledge Graph connectors to integrate unstructured, federated enterprise data sources (e.g., SharePoint, Confluence, Google Drive … organizational authority on Zendesk platform security, planetary scalability, custom data models, and Zendesk Copilot implementations. Product Liaison: Partner directly with Product Engineering, Product Marketing teams to serve as a feedback loop, directly shaping the future roadmap of the Zendesk AI architecture. Required Qualifications Core Experience & Business Acumen Solutions Architecture ...