51 to 75 of 713 LLM Jobs in the UK

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD/Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with ...

system design • Experience using GitHub, CI/CD workflows, and cloud infrastructure • Familiarity with Azure is a plus • Bonus: experience with AI tooling, LLM integrations, vector databases, data engineering, or healthcare/life sciences data What We Offer • Significant ownership and autonomy from day one • Opportunity to shape the direction ...

Kanban). Desirable: - Experience with DBT (Data Build Tool) or Prefect. - Awareness of AI/ML data preparation and the security implications of LLM training data. - Knowledge of housing, asset management, or repairs systems (ideally Civica Cx and Total Mobile Service Connect). Experience - Implemented and operated cloud-based data ...

markets, trading, or investment research Familiarity with time series analysis and financial data Full-stack proficiency: Python (backend) and React JS (frontend) Experience with LLM inference APIs and agentic frameworks AWS or equivalent cloud infrastructure experience Interested? If this sounds like the right next step, feel free ...

development of next-generation AI-powered agentic solutions. The successful candidate will design, build, and deploy autonomous AI agents using Claude Code and modern LLM technologies, enabling intelligent workflow automation, business process optimisation, and advanced decision support capabilities. This role combines software engineering, AI application development, automation, and prompt engineering … stakeholders to identify and deliver AI use cases. Stay up to date with advancements in Agentic AI, Generative AI, Claude Code, and the wider LLM ecosystem. Required Skills & Experience Agentic AI & LLM Development Proven experience developing solutions using Claude Code. Strong understanding of Agentic AI concepts including planning, reasoning, memory ...

MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but highly desirable: Integrating AI/ML models into production systems Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI-powered automation tools Why This Role is Exciting Work directly with ...

proven stakeholder management ability. Ability to work hybrid from Bristol. Desirable Experience with modern front-end frameworks (React, Next.js or similar). Familiarity with LLM APIs and Gen AI frameworks (e.g. OpenAI, Anthropic, LangChain). Knowledge of CI/CD pipelines and Infrastructure as Code (e.g. CDK, Terraform). Experience ...

principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing ...

paced, high-autonomy environment. Strong collaboration skills across engineering, product, and AI teams. Bonus Points If... You have experience building AI-powered applications with LLM integrations. You’ve worked in high-performance startups or enterprise AI environments. You have a sharp eye for UI/UX design and have built ...

reasoning, and enterprise data integration; building software that automates workflows and takes action, rather than producing static outputs. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring: Proven hands-on experience building production-grade solutions using ...

enterprise data integration; driving the development of systems that automate workflows and execute real business tasks at scale. Our stack typically includes Python, modern LLM frameworks, orchestration tools, and cloud platforms such as AWS, GCP, or Azure. What you’ll bring Deep, hands-on experience building and deploying production-grade ...

Prague Czech Republic and Milan Italy). The Role The responsibilities will include: Help to design, build, and maintain AI‐augmented DevOps pipelines, integrating LLM‐powered tooling, automated testing, code generation, observability, and environment provisioning. Develop automation for operational workflows (permissions, tagging, remediation tasks, infrastructure housekeeping, monitoring pipelines) Help ...

Machine Learning initiatives across multiple business functions Designing, developing and deploying production-grade AI solutions Building and optimising Large Language Model (LLM) applications, RAG architectures and Agentic AI systems Developing speech-to-text, voice AI and accessibility-focused AI solutions Creating intelligent conversational experiences using modern AI frameworks Architecting scalable ...

Dataiku or similar technologies Designing scalable and cost-optimised AI solutions using serverless, containerised and Kubernetes-based environments Generative AI and Large Language Model (LLM) deployment and hosting Retrieval Augmented Generation (RAG), vector databases, semantic search and embedding techniques Python development and AI frameworks such as PyTorch, TensorFlow and LangChain ...

Duration: Initial 6 months (with strong extension potential) About the Role We're supporting a leading organisation looking to hire an experienced LLM/Generative AI Engineer to design and deliver advanced GenAI solutions.This is a hands-on contract role suited to someone with deep expertise in Large Language Models … GenAI applications. You'll play a key role in delivering innovative AI capabilities that drive real business value. Key Responsibilities Design, build, and deploy LLM-powered applications and GenAI solutions Develop and optimise prompt engineering strategies for performance and accuracy Implement RAG (Retrieval-Augmented Generation) pipelines using structured and unstructured ...

they are focused on responsibly augmenting human data with advanced machine learning and synthetic intelligence. The Role Design, build, and deploy Generative AI and LLM-based solutions for synthetic data generation and data augmentation Develop and validate statistical and machine learning methodologies to ensure data quality, reliability, and trust Work ...

client-facing consulting work Why Apply? 🌍 Work with globally recognised brands on high-impact AI and analytics projects 🤖 Gain exposure to cutting-edge GenAI, LLM, and customer data initiatives 📈 Accelerate your consulting career within a growing Data & AI practice 🤝 Join a collaborative team that values innovation, learning, and continuous development ...