1,001 to 1,025 of 2,839 LLM Jobs in England

successful you will have: Extensive experience in ad tech research, marketing insights, or analytics within an advertising platform or agency. Proven ability to leverage LLM-based technologies and develop AI-driven interfaces. Strong stakeholder management skills, with a track record of managing cross-functional projects. Excellent storytelling and communication skills ...

part of a lean team, touching on many areas within the security remit. A sharp, current grasp and genuine interest in AI/LLM themes and emerging risks. Preferred but not a requirement: Financial sector experience. Those within a start‐up/scale‐up environment outside of finance will ...

Maths at GCSE grade 4/C or above, or equivalent) Eligible to live and work in the UK Desirable: Exposure to AI/LLM or agentic AI testing, including evaluation frameworks and non-deterministic testing Experience integrating automated testing into CI/CD pipelines, including quality gates and test ...

Stack We're building with tools that both humans and AI love: Frontend: React, Tailwind Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, many LLM providers DevOps & Tooling: GitHub Actions, Grafana, OTEL, infra‐as‐code (Terraform) And always on the lookout for what’s next! We treat all candidates equally ...

expand the account actions it can complete autonomously.* Expand our in-house document extraction pipelines to make parsing faster and more accurate.* Design LLM-driven workflows that simplify case management.* Find new opportunities to replace manual work with effective AI systems.* Own solutions from discovery and prototyping through deployment, evaluation ...

product from early stage through to scale Track record of rapid iteration on a live, early-stage product. Comfortable shipping agentic AI or LLM-based products in production. Understands evaluation and quality measurement, not just prompting. High levels of ownership. Leads their own research. Speaks to real users regularly ...

tools, APIs, infrastructure, or other highly technical products. Comfortable selling to engineers, CTOs, and technical founders, and running demos independently. Exposure to AI/LLM products, agentic platforms, or meaningful hands‐on experience with AI tools. High ownership mindset, bias for action, and comfort operating with autonomy — your GTM partners ...

team, you will be someone who: Contributes to prompting, prototyping, building agents, scripting and data analysisDefines evaluation strategies, and creates the tests, datasets and LLM scorers needed to know whether a system is safe and workingCollaborates with and bridges the gap between clinicians, researchers, product, designers, engineering, and partnership teams. ...

metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify. Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto ...

client portfolios. Direct expertise in data/information security, advanced API orchestration, and a sophisticated operational command of the AI ecosystem, agentic deployments, and LLM vulnerabilities. Technical Skills: Deep hands-on background in modern application development, software development lifecycles (SDLC), and advanced software-defined networking concepts. Advanced mastery ...

that well and asks for feedback rather than waiting for it. It'd be great if you also have: Interest in evaluating AI or LLM-powered product features. Views on AI-driven test automation, particularly where it could replace manual testing. This probably isn't the role ...

restaurant, hospitality, or adjacent technology such as delivery, point‐of‐sale, or reservations. Experience with n8n or similar workflow and orchestration tools. Familiarity with LLM APIs, AI‐assisted workflow tools, and emerging automation technologies. What Success Looks Like In Your First 90 Days Develop a deep understanding of sunday ...

cloud-native security tooling – enough to clearly identify, prioritise and challenge solutions for implementing security in our cloud environment. Working knowledge of AI/LLM security risks: enough depth to assess integrations, define guardrails, and evolve the programme as the technology does. MindsetRisk-based by instinct: prioritises based on both ...

related things we're interested in Experience in due diligence, governance and compliance, risk, or another data-heavy regulated domain. Familiarity with LLM concepts and emerging agent standards such as MCP. Experience working with third-party data providers and commercial data licensing. Previous experience in a fast-growing startup environment. ...

candidate will apply strong software engineering and AI expertise to deliver secure, scalable and responsible AI solutions to production Design, develop, test and deploy LLM and agentic AI solutions Contribute to the development of LLM, Retrieval-Augmented Generation (RAG) and agentic AI solutions, including evaluation, optimisation and monitoring Implement reliable ...

cloud-native architectures. Deliver scalable, secure, and reliable solutions using Python , SQL , Git , and CI/CD practices. Test, evaluate, and continuously improve LLM and AI Agent performance, reliability, and safety. Collaborate with business, data, and engineering teams to drive AI adoption and innovation. Required Skills AI , Generative AI (GenAI … LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud Platforms (Azure, AWS, or GCP) LLM & AI Agent Testing and Evaluation Desirable Skills Knowledge Graphs Semantic Search Responsible AI Token Optimisation & Cost Management AI Evaluations (Evals) Re-ranking Techniques Caching Strategies ...

focus on deploying and optimising speech and language models across cloud and edge environments. The successful candidate will work on production-grade ASR, TTS, LLM and Small Language Model pipelines , taking AI capabilities from development through to highly available, low-latency production environments. The Role As a Machine Learning Engineer … supporting real-time conversational applications. Key responsibilities will include: Designing and deploying production-grade, low-latency Automatic Speech Recognition (ASR), Text-to-Speech (TTS), LLM and Small Language Model (SLM) pipelines. Building high-performance asynchronous REST and WebSocket APIs using FastAPI to support real-time conversational AI applications. Deploying machine ...

landscape; with preference for GCP and Vercel , or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms. GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval. Model fine‐tuning: experience customising and fine‐tuning existing ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands‐on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms. GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval. Model fine-tuning: experience customising and fine-tuning existing ...

team can maintain after your engagement ends. What We're Looking For Significant professional software engineering experience (typically 6+ years), including several years building LLM-based or agentic systems, with a demonstrable track record as a senior or lead engineer. Strong software engineering fundamentals: you write clean, tested, production-grade … systems in production, owning them as an engineer rather than integrating them as a user. Strong Python, with hands-on experience building on LLM frameworks (LangGraph, LangChain, Haystack, or similar) and the ability to work below the framework when you need to. Experience designing and deploying AI/ML systems ...

based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality. Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such … implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest ...

opportunities that deliver measurable value. * Develop AI agents, automations and intelligent workflows across modern enterprise platforms. * Prototype and experiment with generative AI and large language model solutions. * Design and run pilot programmes with business users. * Measure outcomes, track benefits, and evaluate success against defined objectives. * Rapidly iterate solutions based … solutions, prototypes, automations or intelligent agents. * Strong understanding of AI technologies and their practical business applications. * Experience working with modern AI platforms and large language model technologies. * Ability to work independently and deliver outcomes in ambiguous environments. * Strong analytical and problem-solving capabilities. * Comfortable engaging with both technical ...

About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice—we're a global community of 6,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory ...

grade applications Experience designing and building AI, machine learning, generative AI, or agentic applications, including integration with enterprise systems and workflows Strong understanding of LLM application patterns, including prompt engineering, retrieval‐augmented generation, tool calling, context management, evaluation, and guardrails Experience with RESTful API design, development, and integration, including frameworks … across multidisciplinary teams Preferred Qualifications, Capabilities, and Skills Experience designing or operating multi‐agent systems, agent orchestration frameworks, workflow automation platforms, or tool‐augmented LLM applications Experience with context engineering techniques, including retrieval strategies, embeddings, vector databases, knowledge graphs, semantic search, memory management, and grounding approaches Experience building evaluation frameworks ...