526 to 550 of 2,326 LLM Jobs in the UK

programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies. Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation. Prior experience working with omics data and familiarity with oncology drug development. Excellent communication skills ...

presales engagements within enterprise or consulting environments Strong capability in value-based solutioning including business case development and ROI modelling Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP Strong understanding of enterprise AI architecture patterns and solution design Experience supporting ...

goals, then translate them into practical process improvements and AI-enabled solutions.* Identify, prioritize, and document legal AI use cases* Create, configure, and refine LLM-based workflows, AI agents, prompts, evaluation criteria, and human-in-the-loop review steps tailored to legal work.* Work hands-on with large language models ...

Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonus A FinOps mindset ...

9NET CoreAzureAzure OpenAIOpenAI APIsSemantic KernelVector DatabasesSQL ServerREST APIsMicroservicesDockerWhat we're looking forStrong commercial experience developing backend applications in C# and .NET.Experience integrating AI or LLM technologies into production software. Understanding of RAG, embeddings, prompt engineering and vector search. Experience building scalable cloud-based applications using Azure. A genuine interest ...

Design and implement security controls for data pipelines, model training environments, and customer-facing AI agents; Research emerging AI/ML security threats, including LLM and generative AI attack vectors, and build proactive defenses. Требования: 4+ Years of hands-on experience in application security engineering; Proven experience securing large-scale ...

pipeline outputs Agentic AI & AI-Assisted Development Leverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products Utilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline development Design and define a set of agentic skills that ...

patterns like ReAct, self-reflection, and hierarchical delegation. Experience in a post-sales or technical consulting delivery function. Knowledge of large language model native metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward Deployed Engineer ...

practitioner, not just from a slide deck.* Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow).* Working knowledge of agentic process automation concepts — agent orchestration, human-in-the-loop workflows, document intelligence ...

Implementation of controls and safeguards to prevent AI vulnerabilities, such as prompt injections, model evasion, and data poisoningAI-Driven Threat Response: Utilize GenAI and LLM-based security use cases to rapidly interpret alerts, reduce false positives, and contextualize threat dataArtifact & Evidence Triage: Collects intrusion artifacts and forensically sound images ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder Engagement Act as a trusted product advisor to client ...

time reasoning engines that execute business actions safely at scale Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment Apply deep scientific intuition to the design of AI systems, ensuring that models ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

integrate and operationalise agentic AI systems in production across cloud, on‐prem, hybrid and restricted environments. You will design production architectures for agentic AI, LLM and vision‐language apps. The role requires strong Python, API development, Docker, cloud deployments, and secure, observable production systems. You will build connectors, CI/ ...

design, deploy, and optimize Conversational AI and Data Analytics platforms. You will bridge AI research and production, focusing on scaling ASR, TTS, and LLM pipelines across hybrid cloud and edge environments. You will implement production-grade pipelines, containerize workflows, and contribute to MLOps, AI model serving, and API development. ...

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

scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

management. Nice to have Infrastructure as code (CDK in TypeScript, or Terraform). React/TypeScript, or comfort in a polyglot repo. LLM or MCP integration and AI-facing tooling. Financial-data or regulated-environment background. Experience we’re looking for We care more about what you’ve owned than ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

customers and our internal operations. You'll work on consumer features such as the Energy Co-Pilot and speedy onboarding (using VLM and LLM tools) and build AI tools that make teams across Fuse more productive. ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised ...

technical and non‐technical colleagues. Delivery experience with Microsoft copilot Studio is a must. Microsoft Foundry is good to have and/or other LLM technologies. Pay.UK Behaviours At Pay.UK, our behaviours are central to who we are and how we operate. They bring our values to life, shape ...

build Invoka's reputation in the market. Required Skills and Experience Production AI systems you have actually shipped. You have designed, built and deployed LLM-based systems that run in production with real users, uptime expectations and sensitive data. We will want to talk about who uses them, how often ...

also valuable where it demonstrates real depth and an ability to move intelligently between technologies. Experience with Oban, Broadway, distributed Elixir, data engineering, LLM integrations, regulated domains, consultancy, early‐stage products or coaching other engineers would all be useful. We don’t expect one person to bring all of them. ...