76 to 100 of 2,433 LLM Jobs in England

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

venues (NeurIPS, ICML, ACL, CVPR). Experience with MLOps tools: MLflow, Weights & Biases, DVC. Familiarity with distributed training frameworks (DeepSpeed, Horovod). Experience with LLM fine-tuning and prompt engineering. Contributions to open-source ML projects. Competitive salary with annual performance bonus. £2,000 annual conference and learning budget. Private ...

hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability & Monitoring: Prometheus, Grafana, Datadog, Splunk, Elastic/ELK, OpenTelemetry, including GenAI tracing ...

knowledge in building and applying supervised and unsupervised models to real business problems. Generative AI and LLMs - prompt engineering, RAG, and applied use of LLM tooling in an analytical context. Automation tooling - experience with platforms such as Power Platform, Power Automate, or equivalent. Communication, business requirements and leadership - working with ...

responsibilities of the role? Design and build full stack web applications to support end-to-end automation and test infrastructure Integrate AI capabilities including LLM-driven experiences in existing and new toolsets Develop APIs and microservices to support test and quality workflows Deploy, scale, and monitor services in cloud environments ...

from discovery through to adoption.Experience collaborating around BI/analytics tools (Power BI, Tableau, etc.)Exposure to AI platforms (e.g. Azure OpenAI/other LLM services, data science environments, MLOps platforms) – as a partner/user rather than a builderAdditional InfoHybrid working: The places that you work from ...

systems Go beyond adopting AI tools - define how intelligent systems become structural, load-bearing parts of the platforms your teams own. Whether that's LLM-powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities ...

performance optimisation skills; Solid software engineering foundations, including version control, automated testing, and monitoring; Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems. Условия Competitive salary and company bonus scheme; Group pension scheme; Group healthcare and life ...

maintain production-grade ML orchestration pipelines using tools such as Dagster, Airflow, Prefect, or similar technologies. Deploy, monitor, and scale machine learning models and LLM-powered solutions in production environments. Build and maintain cloud-native infrastructure using Kubernetes and Infrastructure as Code technologies such as Terraform or Bicep. Develop robust ...

technology and transformation. Solid hands‐on technical skills – for example SQL and Python, data manipulation and engineering, and exposure to generative AI/LLM tools, machine learning or analytics platforms such as Power BI or Alteryx. Experience with using low code applications such as Microsoft Copilot Studio and Power Platform. ...

working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks ...

working on: Designing and deploying production-grade agentic and multi-agent systems Building RAG pipelines, including embeddings, chunking, vector search and context engineering Integrating LLM APIs across providers such as OpenAI, Anthropic, Vertex AI and open-source models Building orchestration, tool invocation, routing and memory capabilities Developing evaluation frameworks ...

approaches. Cross-Disciplinary Knowledge Working knowledge of data analytics, data engineering, and data science practices. Understanding of Generative AI applications, including RAG architectures and LLM integration. Familiarity with cloud platforms, data governance, and security considerations. Proven ability to facilitate workshops and gather requirements from diverse stakeholders. Experience creating clear, compelling ...

part of a team that collaborates with cross-functional teams to understand business requirements and translate them into technical specifications. Build and orchestrate LLM agents, including prompt design, grounding and retrieval, and structured outputs. Test and evaluate agent behaviour, including handling uncertainty and non-deterministic outputs. Build and configure solutions ...

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise ...

commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing. Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton ...

practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting‐edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows Build strong relationships ...

relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists #J-18808-Ljbffr ...

platforms, self-service golden paths and platform-as-a-product to abstract away cloud complexity for engineering teams. Practical experience using AI agents/LLM-based tooling to automate and optimise infrastructure work, and interest in designing infrastructure that AI agents can operate safely. Strong security engineering mindset with hands ...

with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming ...

emerging AI tools and frameworks, introducing improvements to team workflows. Required Skills & Experience Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using ...

Pharma space. Industry domain knowledge would be beneficial. Key Technical Skills Required Senior Python engineer with strong production software engineering experience. Commercial experience building LLM, agentic AI or multi-agent systems. Hands‐on experience with LangGraph, LangChain, Haystack or similar frameworks. Proven ability to deploy AI/ML systems into ...

compare and validate appropriate statistical and machine-learning models for classification, ranking, recommendation, forecasting, anomaly detection, similarity or extraction problems. Use NLP, embeddings and LLM-assisted techniques responsibly for classification, entity resolution, information extraction, clustering and relationship discovery across document-heavy data. Publish curated datasets, features and analytical outputs through ...

experience, with at least one production AI, data engineering, or enterprise integration system deployed to production. Hands-on AI & Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data. Multi-Agent Systems & API Mastery: Practical experience with ...

/C#, Python and FastAPI . Integrating Microsoft AI technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business ...