301 to 325 of 1,183 LLM Jobs in England

/derived data declarations and vendor audit processes. Working proficiency in Python and SQL; knowledge of Linux, Git, Jira preferred. Experience using AI and LLM tooling to automate or augment manual workflows. Strong analytical and communication skills, written and oral. Inclusion, Work-Life Balance and Benefits at Man Group ...

Bash and infrastructure-as-code tools like Terraform, with a track record of building custom integrations and automations Hands‐on experience leveraging AI and LLM tools (such as WRITER, Claude, ChatGPT, or Copilot) to accelerate IT documentation, scripting, troubleshooting, and operations Proven ability to evaluate emerging platforms quickly and make ...

performing teams, leverages staff for efficiency. Experience developing and coaching associates to meet business goals. Experience with AI/ML/Gen AI/LLM is preferred. Bachelor’s degree or equivalent experience. Compensation and Benefits You’ll receive a competitive salary, bonuses and benefits. Your company‐funded retirement contribution ...

data platforms and technologies such as Snowflake, SQL-based data environments and a range of operational data sources. Good understanding of Generative AI and LLM-related engineering patterns, with the ability to lead teams in applying these capabilities pragmatically, securely and responsibly in an enterprise setting. Strong strategic thinking ...

know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output. Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build ...

guidance on Voice Recording platforms for design, implementation and support. Professional experience, documenting, planning and managing platforms through their life cycle. Experience with AI LLM’s and automation tools for voice and voice recording. Experience with implementing voice transcription and data extraction from voice records. 5 years + Experience ...

/derived data declarations and vendor audit processes. Working proficiency in Python and SQL; knowledge of Linux, Git, Jira preferred. Experience using AI and LLM tooling to automate or augment manual workflows. Strong analytical and communication skills, written and oral. Inclusion, Work-Life Balance and Benefits at Man Group ...

performing teams, leverages staff for efficiency.* Experience developing and coaching associates to meet business goals.* Experience with AI/ML/Gen AI/LLM is preferred.* Bachelor’s degree or equivalent experience.**“I can apply in less than 4 minutes.”** You’ve reviewed this job posting ...

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 Infrastructure GPU/… 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 ...

actually deliver and clients can actually sign. Build and deliver. Develop prototypes and production components for client AI solutions: agent workflows, RAG pipelines, LLM integrations (Azure OpenAI, AWS Bedrock, Google Vertex, Anthropic), MCP-based tool integrations, and the governance and security controls around them. Deliver custom adapters and local tooling … Must-haves 5+ years in software engineering, solutions architecture, or technical consulting, with at least 2 years hands-on with modern AI/LLM systems in real projects (not only experimentation). Practical experience building with LLM APIs and frameworks (e.g., Azure OpenAI, Bedrock, Vertex, LangChain, Semantic Kernel) and patterns ...

10+ years of professional software engineering experience, with strong proficiency in Python (or a comparable modern language) Hands-on production experience building and shipping LLM-powered applications, including advanced prompt engineering, retrieval, agent development, and evaluation Demonstrated experience designing and building end-to-end RAG pipelines and integrating LLM solutions … Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production Experience mentoring engineers ...

years of professional software engineering experience, with strong proficiency in Python (or a comparable modern language).* Hands-on production experience building and shipping LLM-powered applications, including advanced prompt engineering, retrieval, agent development, and evaluation.* Demonstrated experience designing and building end-to-end RAG pipelines and integrating LLM solutions … Experience with MLOps/LLMOps tooling such as experiment tracking, model versioning, monitoring, evaluation/observability platforms, or CI/CD for ML and LLM systems.* Experience implementing responsible-AI or AI-governance controls such as guardrails, human-in-the-loop oversight, and audit trails in production.* Experience mentoring engineers ...

something secure and genuinely usable at scale. What you'll be doing • Designing and developing GenAI applications using OpenAI/Azure OpenAI or equivalent LLM platforms • Building multi-agent solutions with agent-orchestration frameworks such as LangGraph • Creating Retrieval-Augmented Generation (RAG) pipelines over enterprise knowledge using embeddings and vector … grasp of API integration, tool/function calling and agent orchestration Nice to have • Model Context Protocol (MCP) • Kafka or event-driven architectures • MLOps, LLM evaluation, observability and monitoring To apply or find out more, get in touch. #ContractJobs #AIJobs #GenAI #AIEngineer #LangGraph #Python #RAG #LLM #MachineLearning #Hiring #TechRecruitment #ContractRole ...

intelligent automation. Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities. Develop production-ready AI applications using modern LLM frameworks and orchestration tools. Design reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services. Build APIs, SDKs, and developer … Models (LLMs) . Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. Have experience building or contributing to agentic AI systems , intelligent workflows, or orchestration frameworks. Backend & Platform Engineering Are a strong backend engineer with ...

frameworks such as Next.js or Vite . GenAI Frameworks : Familiarity with tools like LangChain , LangGraph , CrewAI , or Vercel AI (in Python or JavaScript). LLM experience : Practical experience with Large Language Models (LLMs) such as OpenAI , Anthropic , Mistral , or Llama , and tools like Ollama . Cloud Platforms : Proficiency … Hands-on experience with Docker , Kubernetes , and Docker Compose . Infrastructure as Code (IaC) : Exposure to tools like Terraform . Monitoring Tools : Familiarity with LLM monitoring tools like Langsmith , Langfuse , or similar. CI/CD : Experience with continuous integration and deployment tools such as GitLab , GitHub , or Jenkins . Database ...

will design, build and deploy production-ready AI solutions across the Microsoft Azure ecosystem. This is a hands-on engineering role focused on taking LLM-powered applications from experimentation into scalable, secure and reliable production environments. We're particularly interested in engineers who have built AI solutions around document intelligence … enterprise search, knowledge management, NLP or Retrieval-Augmented Generation (RAG), rather than purely research-focused AI. Key Responsibilities Design, build and deploy production-ready LLM and Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including LangChain ...

existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats … e.g. code quality considerations, automated testing, source version control, optimization) Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular ...

existing machine learning solutions Build with AWS and Azure cloud computing services providing the necessary infrastructure, resources, and interfaces to enable data loading and LLM workflows. Use Python/Java and large-scale data workflow orchestration platforms e.g. Airflow to construct software artifacts for ETL, interfacing with diverse data formats … e.g. code quality considerations, automated testing, source version control, optimization) Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM’s. Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular ...

hold an active SC-DV Clearance Key Responsibilities Development: Design and build AI-enabled applications using Python, machine learning frameworks, and Generative AI/LLM components. Pipelines: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines, vector databases, and scalable data processing streams. MLOps: Implement model deployment, monitoring, testing, and lifecycle … this consultancy role. Core Tech: Solid professional experience with Python and frameworks like PyTorch, TensorFlow, or Scikit-Learn. GenAI: Hands-on experience developing LLM-based applications, RAG pipelines, and prompt engineering. Infrastructure: Experience deploying applications in cloud environments (AWS, Azure, or GCP) using Docker and Kubernetes. Engineering: Strong software engineering ...

ABOUT US LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence in delivering the services our ...

Mid-Level AI Engineer Location: Reading, Berkshire (Hybrid - 2/3 days in the office) Salary: £45k+ One of our clients, an innovative and growing tech business, is looking to expand its engineering team with ...

The Opportunity This is a unique opportunity to help establish and shape a new AI capability within a complex, multi-functional organisation. Working in a greenfield environment, you will play a key role in defining ...

Exciting Opportunity for an Experienced Principal AI Data Engineer to help build and scale GenAI and agentic AI solutions as part of a new project for a Leading Energy Company. Responsibilities: Build and evaluate GenAI ...

Position Overview Position Overview: SBS is seeking a Lead/Principal Data Scientist to join its growing Data & AI function in the UK. This is a senior, high-impact role responsible for shaping and delivering ...

Data Science Manager Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent Shape intelligent solutions. Lead with insight. Drive data innovation. The Role We’re looking for aData Science Manager to lead innovative projects that ...