1 to 25 of 284 LLM Jobs in the South East

someone who loves creating scalable, production-ready systems You balance technical excellence with pragmatic delivery You're excited about pushing boundaries in GenAI and LLM technologies You can communicate complex concepts effectively to diverse stakeholders You enjoy mentoring junior team members and elevating the entire technical organization What Makes This More ❯

API Integration Salesforce (or tools like MuleSoft) for CRM data extraction. Email APIs (e.g., Microsoft Graph) for automating data workflows. Experience with VoIP and LLM APIs (Gemini, ChatGPT, Claude) to analyse call transcripts and emails. Cloud & Deployment Working knowledge of AWS, Google Cloud, or Azure for data storage and ML More ❯

trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java More ❯

NLP, and machine learning algorithms. Proficiency in Python and frameworks such as TensorFlow, PyTorch, or Hugging Face. Hands-on experience with generative AI and LLM fine-tuning . Experience deploying AI applications on Azure (e.g., Azure ML, Azure Functions, Azure DevOps). Proficiency in Streamlit for building interactive AI applications. More ❯

that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including More ❯

is an international company that requires a senior Data Scientist with experience in Azure Databricks, Knowledge Graph, Neo4J Graph Database, and RAG pipelines for LLM to join the team. Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse More ❯

other cloud data platform solutions such as Databricks, GCP BigQuery, Microsoft Azure or AWS offerings would also be advantageous Practical knowledge of GenAI and LLM offerings in the market Skilled in working on large scale agile transformation projects You should also be comfortable taking ownership as well as working as More ❯

regarded CDO who comes from a ‘hands on’ Data Science background. The Data Unit is filled with experienced Data Scientists, Analyst, Machine Learning Engineers, LLM specialists, and Data Engineers. We’re now actively recruiting for another Senior Data Engineer to join their team. The perfect Senior Data Engineer will love More ❯

grade applications. Apply if: You have strong foundational software engineering knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine More ❯

showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯

showcase business value—leveraging capabilities such as data ingestion, ETL, data modelling, and rich visual analytics (dashboards, reports, alerts) Demonstrate AI-driven features including LLM-powered agents, predictive analytics, and automated workflows to trigger intelligent actions and drive real-time decision-making Lead hands-on Proof of Concepts (POCs) and More ❯

or similar) A collaborative approach to PR review and architecture discussions Desirable (but not essential): Event-driven architecture (e.g., SNS, SQS, EventBridge) AI/LLM integration (Python experience welcome) Data pipelines and ETL workflow knowledge Experience scaling cloud services and optimising for performance and cost in serverless environments Location & Flexibility More ❯

robust backend systems using Python, FastAPI, and advanced database frameworks Develop responsive and efficient frontend components with NextJS, React, and TypeScript Contribute to our LLM and ML services for generating creative content (images, infographics, icons, text) Build and improve scalable infrastructure with microservices on GCP, AWS, and Azure Participate in More ❯

Responsibilities: Build and maintain backend services using Python, FastAPI, and other frameworks Develop and optimize front-end UI with NextJS, React, and TypeScript Develop LLM and ML services to generate content for presentations (images, infographics, icons, content, ...) Collaborate on database management and query optimization Contribute to all phases of More ❯

Tackle the biggest challenge in AI – Be part of the mission to bend the curve on compute costs, energy waste, and emissions in the LLM arms race. Our optimiser is redefining how the world trains and serves large models. 🧠 Work on the frontier – You’ll engineer the infrastructure behind cutting More ❯

robotics, particularly in manipulation tasks. Knowledge of Open-Knowledge Models for Robotics is desirable. Knowledge of Vision-Language Action (VLA) networks and Language Models (LLM) for enhancing robot perception and interaction capabilities. Benefits High competitive salary. 23 calendar days of vacation per year. Flexible working hours. Opportunity to work on More ❯

publications, patents, and successful projects that demonstrate expertise in robotic autonomy and intelligence. Expertise in Robotic Autonomy and experience with VLA/VLM/LLM/RT-X or equivalent solutions for dynamic Robotic World Modeling and advanced decision-making systems for humanoid robots. Hands-on experience with Python, cloud More ❯

on AWS. Key Responsibilities: Design, develop, and deploy machine learning models into production Build scalable ML pipelines and infrastructure on AWS Implement and optimize LLM-based solutions Collaborate with data scientists and software engineers to productionize ML models Ensure ML systems meet performance, reliability, and scalability requirements Contribute to continuous More ❯

or eligible for SC Clearance) • MSc/PhD in CS, Engineering, Maths or relevant field (or equivalent experience) • Expertise in Neural Network-based NLP & LLM • Strong Python skills • Collaborative, analytical, and problem-solving mindset Gen AI Engineer – Hybrid (Oxford 2 Days/Week) – £100,000+ – SC Clearance Required More ❯

a hands-on role where you'll help design and build the infrastructure behind scalable machine learning systems. You’ll work on workflow automation, LLM deployment and fine tuning, and support production-grade model inference. The team is moving fast, and the company is heading toward Series B – a good More ❯

Snowflake, dbt, and related technologies Cross-functional Collaboration : Align business needs with technical execution across diverse stakeholder groups Innovation Mindset : Stay current with GenAI, LLM applications, and emerging trends in enterprise data Essential Experience Enterprise architecture experience in data engineering or cloud platforms Proficiency in Snowflake , dbt , and Azure AI More ❯

enthusiasm for creating and optimising digital media Quantitative degree from a top university The following is DESIRABLE, not essential: Candidates with previous experience with LLM models Commercial Experience with Tensorflow/Keras Developing cloud native systems An enthusiasm for data visualisation and dashboarding Benefits: Making a serious impact from day More ❯

cross-platform data. This approach generates valuable insights that empower our clients.. Tech: Python, Databricks, Cloud (AWS), ETL, SQL 💡 The teams innovation areas: Advanced LLM implementations Real-time analytics platforms ML model deployment and monitoring Cloud-native architectures Data mesh and data fabric patterns More ❯

Desirable: Undergraduate or Masters degree in Computer Science (or related fields). Experience with AWS and Docker. Interest in AI, and familiarity with building LLM-based agents. Exposure to contract-first development (OpenAPI, gRPC/Protocol Buffers). Ability to design scalable and efficient system architectures. Ability to navigate rapidly More ❯

/AWS Certified Architect or Snowflake Data Architect certification Experience in CDO-led initiatives, data democratization, and AI-driven transformation Understanding of GenAI and LLM applications in enterprise data solutions Rewards & Benefits TCS is consistently voted as a Top Employer in the UK and globally. Our competitive salary packages feature More ❯