476 to 500 of 2,326 LLM Jobs in the UK

agents that can be adopted by business teams Conduct ongoing research into emerging AI technologies—such as Claude desktop, agentic AI platforms, and custom LLM applications—to identify and evaluate their suitability for the firm’s evolving toolkit. Actively investigate alternative tools and approaches, building robust use cases through experimentation ...

will design and operate MCP-based platforms and collaborate with product teams to deliver reliable AI tooling. The role requires strong Python, expertise with LLM frameworks, FastAPI, and Kubernetes, plus experience with RAG and tool orchestration in an enterprise setting. #J-18808-Ljbffr ...

design through production with guardrails. The role emphasizes security tooling, evaluation, and cost optimisation. Ideal candidates have strong Python skills, some Go, experience with LLM-based AI apps, and a hands-on approach to building scalable systems #J-18808-Ljbffr ...

experience developing applications using Laravel, PHP and Python Experience building automated workflows, backend systems or AI-driven solutions in a professional environment Knowledge of LLM integrations, APIs and modern AI tooling, with an interest in intelligent automation Strong problem-solving skills and the ability to work across multiple technologies ...

Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

engineer wanting to specialise in AI development. What you'll be doingDevelop production-ready AI-enabled software applications. Build and maintain backend services supporting LLM and ML functionality. Integrate OpenAI, Anthropic and other AI models into enterprise software. Create scalable APIs and microservices for intelligent applications. Work with cloud infrastructure ...

experience could include Docker, Kubernetes, Azure, Infrastructure as Code, enterprise APIs, identity and access management, observability and modern DevOps practices. Exposure to AI platforms, LLM integration, RAG, agent frameworks or accelerated compute would be valuable, but we are primarily looking for strong architectural breadth and the ability to deliver complex ...

stakeholder-management skills, alongside a good understanding of APIs, connectors, identity, permissions, data governance and enterprise integration. A practical understanding of Generative AI and LLM concepts, including grounding, retrieval, prompt design, hallucination risks and agent orchestration is also important. Experience with Microsoft Graph, Power Platform, Azure, Salesforce or ServiceNow would ...

OpenTelemetry and Datadog to ensure we detect issues before our users do. AI Performance Tuning: Tune autoscaling and network routing to handle resource-intensive LLM workloads with ultra-low latency. About Solve Intelligence We’re the fastest-growing startup transforming the IP industry. Traction: 20-30% MoM revenue growth; selling ...

teams. Hands‐on experience building and deploying practical technology solutions in complex enterprise environments. Strong understanding of modern AI systems and agentic workflows including LLM integration, retrieval, tool use, context orchestration, evaluations, guardrails, observability and human‐inthe‐loop workflows. Ability to analyse complex workflows, simplify ambiguity and translate business requirements ...

CrewAI, ADK) and complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of LLM‐native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward ...

software development principles, design patterns, and best practices. You have experience in cloud platforms, deployment processes, and OAuth -like flows. Ideally with experience integrating LLM providers. You are a practitioner of AI-native development . You don't just use AI, you orchestrate it. You are comfortable using structured prompt ...

debug, and optimize code to execute with minimal CPU and memory footprints in highly constrained environments. Tooling Leverage: Proactive adoption and strong leverage of LLM/AI coding tools (e.g., GitHub Copilot, Cursor) to accelerate development and automate repetitive workflows. Autonomy & Problem Solving: Capability to diagnose complex, asynchronous race conditions ...

customer sites one to two times per month. German-speaking is a must‐have. Desired Skills Kafka or event‐streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale‐up experience. Who Thrives at Gravitee ...

across Azure and OCI (Terraform, Bicep) Proven design and delivery of complex CI/CD and automation solutions Experience building and operating AI/LLM‐assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

platform engineering roles.5+ years focused specifically on AI/ML systems design and delivery, including at least 2 years working with generative AI/LLM workloads. Demonstrated track record leading technical delivery (not just advisory) on enterprise-scale AI or HPC infrastructure programmes. AI Hardware & Data Center InfrastructureGPU/accelerator … working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron-LM, or equivalent multi-node training frameworks. Inference & serving: NVIDIA Triton, vLLM, TensorRT-LLM, or equivalent high-throughput serving platforms. MLOps/LLMOps: Kubeflow, MLflow, and at least one hyperscaler ML platform (SageMaker, Azure ML, or Vertex AI).Generative AI: LLM ...

phases and proof-of-concept work. Reviewing code and technical outputs to maintain high engineering and quality standards. Designing and delivering Generative AI and LLM solutions , including RAG architectures, prompt engineering, vector search and integration with Azure AI services. Defining engineering approaches for LLM applications, agentic AI systems, machine learning ...

model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation. AI Enablement Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance. Integrate AI tooling into a controlled, auditable, production-grade environment … complex enterprise environment; financial services experience strongly preferred. Solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development (e.g., API integration, prompt engineering, RAG-style document workflows). Strong experience with test automation, CI/CD, and modern software engineering practices ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI ...

claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build … organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized ...

Join Kainos and Shape the Future At Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge ...

DescriptionAbout Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...