1 to 25 of 39 LLM Jobs in Central London

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

support strategic decision-making. Build interactive dashboards and visualizations that drive performance tracking and business insights. Develop, finetune, benchmark, and evaluate GenAI/LLM models, including RAG pipelines and robust evaluation frameworks. Design scalable data pipelines, enforce data quality, and implement strong governance aligned to commercial and institutional requirements. Collaborate ...

guardrails, and evaluation tools across text, audio, and video modalities. Build and test: Prompt-level guardrails. Safety classifiers Behaviour-shaping or reward-modelling components. LLM and multimodal fine-tunes Adversarial robustness defences Use Python and modern ML frameworks (e.g., PyTorch, TensorFlow, JAX, HuggingFace). Contribute to creation of synthetic datasets ...

with success selling AI-led transformation programs . Deep experience in solution selling rather than product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security ...

security, deployment patterns, and the safe operationalization of foundation models. AI Agents: Intermediate Proficiency suggested. Experience in the security implications of autonomous agents and LLM-integrated workflows. Amazon Bedrock & Microsoft Azure AI Foundry: Intermediate Proficiency suggested. Practical experience with these specific platforms and their native security controls. Key Responsibilities Innovative ...

stakeholders to turn questions into robust data assets Contribute to engineering standards, best practice, and reusable frameworks Support responsible AI tooling, including programmatic LLM workflows where appropriate What you’ll bring 2+ years’ experience in data engineering within a modern data stack Strong SQL, solid foundations in data modelling Python ...

architecture , particularly in designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad ...

years in deep learning (shipped models, research papers, or major OSS). Domain Depth: Hands-on expertise in VLMs , Diffusion/Generative Video , or LLM Pre-training . Frameworks: Mastery of Python and PyTorch or JAX . Systems: Experience with distributed training and complex numerical debugging. Randstad Technologies ...

Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform Interested? If you feel you have the skills and qualities ...

motion, feedback, clarity, and hierarchy Ability to take an ambiguous user problem and shape it into an elegant, thoughtful experience Experience integrating AI/LLM features into user interfaces Comfortable owning a feature end-to-end , from concept sketches to polished UI Nice to Have Experience with native design patterns ...

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying.Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change ...

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying. Trainee AI Engineer No Experience Needed Future-proof your career in Artificial Intelligence starting today. Looking for ...

Your responsibilities: Define target-state Azure AI reference architectures leveraging Azure AI Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures ...

Job Description All potential applicants are encouraged to scroll through and read the complete job description before applying.Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change ...

Are you passionate about Artificial Intelligence and ready to lead from the front? Were looking for a Lead AI Engineer to join our AI and Data Practice at Sopra Steria. This is a hands-on ...

LLM & Agentic Consulting Engineer Remote First, some trips to client offices and HQ Lead the design and delivery of complex, AI-native client engagements, spanning agentic systems, retrieval architectures and semantic layers. This is a senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both … solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt frameworks and evaluation loops Multi-agent architectures, including planning, delegation, safety constraints and monitoring Retrieval and vector-based systems, embeddings ...

leveraging 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 … Orchestration: 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. Vector Databases: Experience ...

leveraging 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 … Orchestration: 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. Vector Databases: Experience ...

Solution Engineer £Up to £65,000 GBP Up to 10% Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Join a globally recognised technology group consistently ranked among Britain's Most Admired ...

leveraging 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 … Orchestration: 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. Vector Databases: Experience ...

Senior Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an ...

Generative BI & Insight Manager (CL7) Practice: Data & AI London, Manchester or other UK locations Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product ...

machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search … LLM inference workflows using OpenAI and Claude models. Expertise in modern SDLC and DevOps: CI/CD (e.g., Jenkins/GitLab), infrastructure as code (e.g., Terraform/CloudFormation), automated testing, and SRE practices. One Team Lead also required to lead the team of 4 who can demonstrate a background ...

LLM, RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior … Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial and product thinking to design, build and deploy LLM- and agent-driven solutions for insurers, brokers and value chain partners. You will work directly with senior insurance stakeholders (Claims, Underwriting, Operations, IT, Risk, Compliance, Actuarial ...

deploy AI-powered systems that enhance global sales workflows. Build scalable backend services and full-stack applications for internal teams. Architect, implement, and optimize LLM orchestration frameworks and RAG-based solutions. Collaborate with cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed … with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech solutions . Startup/innovation team ...