51 to 75 of 669 LLM Jobs in England

z2bz0 years of software engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability ...

classical ML and deep learning. Deploy models to production using containerisation, CI/CD, and MLOps toolsets; manage ongoing configuration and administration. Develop LLM-based tools using prompt engineering, retrieval, and embedding pipelines for knowledge retrieval and workflow assistance. Build APIs, microservices, or workflow components to integrate AI tools into ...

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 ...

just an engineer. Skills & Expertise 5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend ...

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 ...

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 ...

fluency with experience in performance tuning.Track record of designing and building systems for high throughput and low latency.Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.Solid understanding of middleware and messaging technologies such as Chronicle Queue, RabbitMQ, Aeron, and Kafka.Working knowledge of Spring or Micronaut ...

standards. AI Systems & Experience Engineering Build and shape AI‐native customer experiences driven by intent, contextual generation, retrieval and adaptive orchestration. Work across modern LLM ecosystems including foundation models, retrieval pipelines, vector storage, embeddings, multi‐agent systems and AI observability tooling. Design systems that support conversational rendering, dynamic content assembly ...

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 ...

Description 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 … 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 ...

exceptional team player - low‐ego, high‐initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands‐on experience building LLM‐based systems Experience testing non‐deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits ...

Models (LLMs), delivering AI solutions within regulated environments. Hands-on AWS experience including Bedrock, Lambda, S3, Lex, and CloudWatch. Experience with prompt engineering and LLM evaluation. Strong stakeholder management and communication skills. Why Join? Work on enterprise-scale AI products. Influence Generative AI strategy within a leading global financial institution. ...

remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts ...

environment Strong understanding of modern AI ecosystems and platforms such as Microsoft, AWS, Google or OpenAI technologies Practical exposure to Generative AI and large language model frameworks Skills in data analysis and machine learning tooling (Python, SQL, R or similar) Confidence engaging with senior stakeholders and translating technical concepts into ...

regulatory and governance frameworks (HIPAA, 21 CFR Part 11).* Exposure to RWE, biomarker discovery, or trial optimization.* Experience with agentic AI or LLM orchestration in Life Sciences.* Familiarity with platforms such as AWS, Azure ML, Databricks, foundation‐model platforms (e.g., ChatGPT, Claude), or modern code/AI tooling.## ## ...

both technical and non‐technical audiences. Experience supporting presales or business development activities. Experience across varied software development technologies and approaches. AI/LLM application development, including prompt engineering, RAG architectures, and agent-based workflows. #J-18808-Ljbffr ...

stakeholders. Preferred Experience Familiarity with agentic commerce concepts and the emerging landscape – including Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO), AI‐native search, LLM‐powered applications, and brand or consumer‐facing agents. Hands‐on experience with AI and agentic platforms – such as Google Gemini/GCEX, OpenAI Agent ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

applications, simulation environments, and third-party platforms Develop microservices, wrappers, connectors, and service interfaces to support solution components Support applied AI development including LLM services, speech services, classification models, RAG pipelines, and AI-enabled application features Prepare and maintain demo-ready technical builds for internal and customer-facing demonstrations Support ...

Learning Developer/Full Stack Engineer/AI Developer/Go/Kotlin/TypeScript/React/Machine Learning/Computer Vision/LLM/RAG/Transformer Architecture/Artificial Intelligence/OpenAI/Anthropic RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...