1,476 to 1,500 of 2,912 LLM Jobs in England

help shape the product roadmap. Build Scalable Systems & Processes Improve self-serve resources such as guides, FAQs, and training content. Develop and manage LLM agents to enhance customer support and onboarding. Create more effective onboarding processes and scalable customer success workflows. Collaborate with developers and designers to integrate tutorials, tips ...

help shape the product roadmap. Build Scalable Systems & Processes Improve self-serve resources such as guides, FAQs, and training content. Develop and manage LLM agents to enhance customer support and onboarding. Create more effective onboarding processes and scalable customer success workflows. Collaborate with developers and designers to integrate tutorials, tips ...

easy to warm to them and quickly put them at ease; An AI whizz - you're way ahead of the average person with your LLM usage, have built interesting/cool things in your spare time, and are deeply conscious of all the things that are possible that you haven ...

technology partners. Exposure to other marketing automation platforms such as Marketo or Braze, work-management platforms such as Monday.com or Asana, and AI/LLM marketing concepts would also be useful, but isn't essential. Benefits Competitive base salary with uncapped commission 25 days holiday plus bank holidays Hybrid ...

technology partners. Exposure to other marketing automation platforms such as Marketo or Braze, work-management platforms such as Monday.com or Asana, and AI/LLM marketing concepts would also be useful, but isn't essential. Benefits Competitive base salary with uncapped commission 25 days holiday plus bank holidays Hybrid ...

3+ years in Presales, Solutions Consulting, Technical Sales, Sales Engineering or similar roles, preferably within a SaaS environment Preferred experience in AI technology (Agentic, LLM, AI‐powered automation, etc.) and business models Proven ability to effectively influence senior‐level decision‐makers A deep curiosity and understanding of how IT systems ...

3+ years in Presales, Solutions Consulting, Technical Sales, Sales Engineering or similar roles, preferably within a SaaS environment Preferred experience in AI technology (Agentic, LLM, AI-powered automation, etc.) and business models Proven ability to effectively influence senior‐level decision‐makers A deep curiosity and understanding of how IT systems ...

with academic research institutions, biotech, pharma, or other mission-driven scientific organizations, and an understanding of their unique challenges and constraints. Familiarity with common LLM implementation patterns, including prompt and context engineering, evaluation frameworks, agent architectures, and retrieval frameworks. A love of teaching, mentoring, and helping others succeed. A scrappy ...

youMinimum 3+ years in Presales, Solutions Consulting, Technical Sales, Sales Engineering or similar roles, preferably within a SaaS environmentPreferred experience in AI technology (Agentic, LLM, AI-powered automation, etc.) and business modelsProven ability to effectively influence senior-level decision-makersA deep curiosity and understanding of how IT systems work ...

your work shapes how teams use intelligent systems at scale. You’ll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into … reliable production systems, you’ll thrive here. Join a team that values craft, security, and learning. As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction ...

recruiting, mentoring, and developing a diverse workforce that is broadly representative of the communities it serves. Position Overview Tencent Cloud is seeking an AI & LLM 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 … tokenhub from_qcintl=topnav Responsibilities Partner with enterprise customers to understand business challenges, identify AI transformation opportunities, and design end-to-end AI and LLM solutions leveraging Tencent Cloud TokenHub, leading foundation models, AI Agents, MCP ecosystem, and enterprise AI capabilities. Lead technical discovery workshops, architecture design sessions, Proof ...

days per week in the office Permanent The Opportunity Are you an experienced Security Engineer with a strong interest in Generative AI, LLM security and cyber engineering? We're looking for a talented Security Engineer to join an established technology environment, where you'll play a key role in designing … developing security solutions that protect AI and LLM-based applications from emerging threats, including adversarial attacks and prompt injection. This is an exciting opportunity to work at the intersection of Cyber Security, Software Engineering and Generative AI, helping to develop secure and scalable solutions within a complex enterprise environment. ...

Finance AI platform. This hands-on leadership role focuses on scalable engineering patterns, accelerating delivery, and mentoring development teams. You will design and oversee LLM, RAG, and Agentic AI integrations across Azure, AWS, and GCP, collaborate with architects to ensure secure, maintainable solutions, and set standards for observability, governance ...

driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also … setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About ...

evaluation rigor directly affects the business. We expect that a successful candidate will be able to own the data science side of a production LLM system end-to-end: partnering with stakeholders to build early prototypes, designing evaluation frameworks, measuring agent quality, and turning ambiguous "is this good?" questions into … scale. Partner directly with underwriting and business stakeholders to scope problems, assess feasibility, and build early prototypes (e.g. PoC agents, rapid evaluation of an LLM approach) before committing engineering investment. Stay involved from prototype through to production, working with ML/software engineers to harden, scale, and maintain what ...

England) and Mr. Andy Palmer (former CIO, Novartis). The Role Pangaea is looking for a skilled AI Engineer to build and productise LLM and agent capabilities in Pangaea’s AI Platform. This is an applied product engineering role rather than primarily a model-training or research position. You will … Responsibilities Collaborate with clinicians and product stakeholders to translate clinical problems into explicit data contracts, system behaviour and success measures. Design and ship LLM and agent workflows for clinical evidence extraction, retrieval, reasoning, patient identification, guideline-driven review and conversational experiences. Build robust LLM integrations using structured outputs, schema validation ...

step workflows using loops, branching, routing, tool use, state management, retries and human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. … experience designing, building and optimising agentic systems, particularly graph-based and iterative workflows involving loops, branching, routing, tool use and state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms - ideally Azure ML, Functions ...

Security Engineer to join a leading global financial institution, working on the development and security of the organisation's next-generation Generative AI and LLM-based applications . This is a specialist engineering role focused on designing, developing and enhancing a GenAI prompt security platform , helping protect enterprise AI applications … with Engineering, Cyber Security and Operations teams across the organisation to build secure, scalable solutions and automated security testing capabilities for a range of LLM use cases. Key Responsibilities Design, develop, optimise and enhance a GenAI prompt security platform . Build and automate security testing frameworks to validate protection mechanisms ...

drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies … needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

provide an adventure where you can push the limits of what's possible. As a Software Engineer III at JPMorganChase within the Firmwide LLM Serving Platform team, you are an integral part of an agile team that designs, builds, and operates the services that make large language models usable … optimize performance pushing down latency, increasing throughput, maximizing GPU utilization, and eliminating waste across the request lifecycle. Job responsibilities Build core backend services for LLM inference, including request routing, batching, scheduling, streaming responses, and quota/limits. Implement and maintain APIs and SDKs used by product and application teams across ...

have the opportunity to learn from, team members while contributing analysis and experimentation work that feeds into live services — such as statistical analysis and LLM evaluation. This will require the kind of careful, evidence-based thinking that makes the difference between an AI system that works in a notebook … machine learning — with the space and support to experiment, prototype, and bring new techniques into production where they add value. Evaluate and refine LLM-powered workflows — building robust evaluation frameworks, stress-testing agent behaviour, and driving continuous quality improvements in live systems. Explore complex, real-world datasets to uncover insights ...

including private model endpoints, PII masking/redaction in prompts, IAM least-privilege for model access, and secure data egress/ingress for external LLM providers. Strong understanding of capability in Infrastructure-as-Code (Terraform) and Containerization (Docker, Kubernetes, Helm) to architect scalable, reproducible, and environment-agnostic AI platforms; specifically … fine-tuned open-source models (e.g., Llama/Mistral). Proficiency in "vibe coding" and AI-native development workflows, utilizing Agentic IDEs and LLM-driven code generation to rapidly prototype, iterate, and deploy production-grade AI components at high velocity. Proven experience designing multi-agent orchestration workflows (e.g., LangGraph, CrewAI ...

reason over enterprise documents at volume, without giving up accuracy, security or governance. It's a product engineering role with complex systems and LLM-in-production problems underneath it. The same service handles a customer's first ten documents and another's ten million, runs in our cloud and inside … grasp of computer science fundamentals. We care about solving real problems with the right data structure, not reciting one from a textbook. Experience shipping LLM-backed products to production is a strong plus: prompting, evaluation, and everything else that turns a model into a feature people will trust. Familiarity with ...

prompt registries, model and version governance, monitoring and alerting, and rollback strategies Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event‐driven patterns, meeting service level objectives Partner with product, operations, risk … PyTorch, TensorFlow, scikit‐learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling Experience integrating human‐in‐the‐loop and user feedback signals into ...