201 to 225 of 292 Prompt Engineering Jobs in London

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 ...

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 ...

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 ...

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 ...

complete breakdown of everything required of potential candidates, as well as how to apply Good luck. 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 … 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 ...

EMEA region, identifying high-impact opportunities to apply AI and emerging technology and driving adoption across regional teams* Apply AI tooling - generative AI, prompt engineering, agent workflows, SQL, and BI - to analyze data, accelerate work, and design more efficient regional workflows* Account for EMEA-specific regulatory, operational … Python, SQL, and VBA where appropriate to build integrations, automations, or data transformations beyond what low-code tools allow* Create and maintain reusable components - prompt libraries, automation templates, and documentation - that scale across the region and back to global teams* Document business requirements, functional specifications, and user stories with ...

Strong understanding and technical skills across AI technologies and solutions and their practical application within SMEs, including: Generative AI and large language models (LLMs) Prompt engineering AI-enabled automation and workflow optimisation Machine learning and predictive analytics Data analytics and AI-driven insights Natural language processing and conversational … solutions based on business need, technical feasibility, organisational readiness, potential value, risk and limitations. Degree or equivalent qualification in digital technology, computer science, data, engineering, business technology or a related field, or equivalent relevant professional experience. Essential Skills Strong practical AI and data literacy, with the ability to assess ...

spend time understanding a client's world, identify what's worth building, prototype it, prove it works, and then partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you'll build agentic systems from idea through production. The work starts … identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production Design and implement LLM integrations including prompt engineering, function calling, structured outputs, and retrieval-augmented workflows Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain ...

Content Moderation, or ML Ops Have managed distributed or global annotation teams Have experience with vendor management and outsourcing operations Bonus points Familiarity with prompt engineering and AI safety policies SQL, Python, or data analysis experience Experience building internal annotation platforms or workflow automation Background in linguistics, cognitive ...