376 to 400 of 2,795 LLM Jobs in England

development, CTFs) used to inform defensive design.Experience securing multi-tenant SaaS at scale, including tenant isolation and EU data residency requirements.Experience securing AI/LLM-powered features (prompt injection, agent and tool abuse, data leakage) or applying AI to security workflows such as triage and automated remediation.Multi-cloud experience ...

product direction and AI strategy within a rapidly scaling business. The Role: Build and develop full-stack AI-powered product features Develop and optimise LLM, computer vision, and agent-based systems Create evaluation, testing, prompt engineering, and fine-tuning frameworks Work across front-end, back-end, DevOps, and MLOps environments ...

product direction and AI strategy within a rapidly scaling business. The Role: Build and develop full-stack AI-powered product features Develop and optimise LLM, computer vision, and agent-based systems Create evaluation, testing, prompt engineering, and fine-tuning frameworks Work across front-end, back-end, DevOps, and MLOps environments ...

engagement. Ability to translate complex AI/ML designs into clear documentation. Knowledge of enterprise architecture principles (security, cloud, data, resilience). Familiarity with LLM, RAG, and agentic system architectures and risks. Strong stakeholder management and communication skills across technical and non‐technical audiences. Career Stage: Manager London Stock Exchange ...

services using FastAPI, Flask or comparable technologies, and usable interfaces using React, Next.js or equivalent. Demonstrable experience building AI-enabled products or workflows using LLM APIs, structured outputs, retrieval and embeddings, tool calling, agents or workflow orchestration. Experience building agentic systems using an agent framework or custom orchestration patterns, including ...

deliver a new Azure Databricks platform for a major life sciences organisation replacing its enterprise data and analytics stack. The programme uses AI and LLM tooling to reverse-engineer existing pipelines, business logic and reports into documented, tested code. You'll mentor three senior data engineers, own the technical architecture ...

development process Right to work in the UK now and in the future 1-5 years' experience Programming Languages: Python, Java Experience with LLM, machine learning, deep learning, NLP, and computer vision Strong background in software engineering principles, including deployment and maintenance of AI systems Cloud Computing: Knowledge of cloud ...

digital and business transformation, and in applying AI to real‐world products beyond pure experimentation. Bonus: exposure to media and entertainment, generative AI/LLM projects, or experience taking solutions from PoC to MVP to production. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. ...

digital and business transformation, and in applying AI to real‐world products beyond pure experimentation. Bonus: exposure to media and entertainment, generative AI/LLM projects, or experience taking solutions from PoC to MVP to production. Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. ...

Cheminformatics modelling Investigate active learning for process optimization Scheduling and inventory optimization Accelerate process and product development cycle using emerging AI methods (such as LLM, RAG, Agentic AI) Previous Intern Projects Include: Predictive modeling using Bayesian and machine learning methods R/Shiny tool development to enable model predictions ...

because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging the Agentforce platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, observable in production. Build and integrate data pipelines on Salesforce Data ...

automation expertise and familiarity with Git‐based workflows. Experience with vulnerability management tools and endpoint telemetry/observability platforms. Experience supporting local AI/LLM developer tooling (e.g., Claude Code, Ollama, LM Studio) and GPU‐accelerated workstations. Microsoft certifications related to Endpoint, Azure, or Security. Why Choose Fitch: Hybrid Work ...

solid grasp of AI, solution design, and engineering best practices, with the judgement to assess feasibility and shape sound solutions. Comfort with Python, modern LLM and agentic tooling, including model APIs, retrieval-augmented generation, and agents, and SQL/data is expected; hands-on engineering experience is a plus. ...

automation expertise and familiarity with Git-based workflows. Experience with vulnerability management tools and endpoint telemetry/observability platforms. Experience supporting local AI/LLM developer tooling (e.g., Claude Code, Ollama, LM Studio) and GPU-accelerated workstations. Microsoft certifications related to Endpoint, Azure, or Security. Why Choose Fitch: Hybrid Work ...

messaging platforms such as NATS or Kafka Observability platforms such as Prometheus and Grafana Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that ...

Unity Catalog, Collibra, Alation, Atlan). Understanding of agentic AI patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work ...

testing. Knowledge of performance, load and security testing, and observability tools such as Datadog or New Relic. Experience integrating AI agents or LLM-based tools into engineering workflows. Relevant ISTQB advanced, test automation or AI testing qualifications, or equivalent experience. What you'll Get in Return A discretionary annual bonus ...

configuring AI agents including MCP-based integrations Practical experience with prompt design/prompt engineering for agents or AI features Understanding of AI/LLM cost models (e.g., token usage, compute cost) and how they factor into solution design Working knowledge maintaining and building with complex datasets Strong problem-solving ...

frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways). Data & Workload Orchestration: Mastery of data preparation strategies for AI workloads, data acquisition, and orchestration frameworks for both data and AI pipelines. Platform ...

frameworks (Google ADK, LangGraph), LLMs (Gemini, Claude, open-source), cloud and database architecture (Cloud SQL, Firestore, BigQuery, Postgres), and AI security & observability (OpenTelemetry, guardrails, LLM gateways).Data & Workload Orchestration: Mastery of data preparation strategies for AI workloads, data acquisition, and orchestration frameworks for both data and AI pipelines.Platform Architecture: Strong ...

Ability to translate business requirements into clear specifications, workflows, or user stories that engineering teams can act on. Working knowledge of generative AI/LLM concepts and enterprise AI copilot tools (e.g., Microsoft Copilot) and how they apply to business problems. Basic understanding of data security, privacy, and governance principles ...

information retrieval, including experience with some combination of lexical search, embeddings, vector search, hybrid retrieval, ranking, reranking, and retrieval evaluation Practical experience building LLM‐powered applications, RAG pipelines, or agentic workflows. Strong Python skills and the software engineering ability to take an idea from prototype to a reliable, maintainable production ...

have*** Paired with a teammate to build a document Q&A system using LangChain and OpenAI APIs* Helped design an architecture that integrates LLM agents into a legacy enterprise workflow* Refactored a flaky test suite to support continuous delivery with confidence* Built and deployed a full stack GenAI MVP with ...

because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging the Agentforce platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, observable in production. Build and integrate data pipelines on Salesforce Data ...

because the customers depend on it. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging the Agentforce platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployed, validated, observable in production. Build and integrate data pipelines on Salesforce Data ...