1 to 25 of 232 Permanent LLM Jobs in the UK excluding London

text search. Proficient in coding for data science using Python. Demonstrates good coding practice like version control, testing and containerisation. Comfortable working in a Linux environment. Some familiarity with LLM/GenAI prompting and augmentation for textual analysis, with an interest in learning more. Experience working with commonly used data science libraries and frameworks, e.g. Spacy, pandas, numpy, scikit-learn More ❯

is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. We're using the latest in More ❯

/CD approach to pushing code; experience with orchestration and data pipeline tools. Experience with implementing data governance frameworks and ensuring compliance with regulatory standards. Familiarity with ML/LLM data needs and setup Effective communication and stakeholder engagement skills, with the ability to influence at all levels of the organization. A collaborative mindset, coupled with a passion for mentoring More ❯

tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data workflows What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy More ❯

tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data workflows What youll get in return: Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy More ❯

architectures and designs, identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. • Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. • Collaborate with data scientists, engineers, and other stakeholders to embed security … be preferred. • Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. • Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. • Experience in implementing secure coding practices, DevOps, CI/CD pipelines More ❯

requirements across diverse business functions. Employ NLP techniques to extract and clean data, ensuring relevance and accuracy. Design and develop algorithms with a focus on NLP, applying the latest LLM and RAG technologies. Validate algorithm performance and complexity against business needs, ensuring durability and responsiveness. Collaborate with internal clients to understand and deliver on their unique data challenges. Stay abreast … storage and management. What we're looking for from you: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and Parquet). Comfort with Agile development methodologies. More ❯

deploying machine learning solutions in production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep experience in Python and PyTorch More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: Lead MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness More ❯

This is a Permanent , Full Time vacancy that will close in 6 days at 23:59 BST . The Role Join Cox Automotive as a Senior Data Scientist - Shape the Future of the European Automotive Market! Are you a curious More ❯

involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing … MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data quality and accuracy in the data platform Requirements: Data Engineering and Preprocessing Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy … and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured More ❯

applications Preferred Qualifications: Master's or PhD in Engineering, Computer Science, Physics, or related fields 4+ years Systems Engineering or related experience 2+ years experience with CV, NLP, and LLM architectures Knowledge of large-scale software architectural patterns Experience with MLOps, automation tools, containerization (Docker, Kubernetes), and ML lifecycle management Knowledge of Rust is a plus Experience with fine-tuning … with developers, system integrators, and ISVs to develop innovative AI/ML solutions that optimize performance, power efficiency, and scalability. Support design, development, and implementation of Gen AI and LLM applications, including fine-tuning and distillation techniques. Develop agents and user interfaces for effective solution use Perform ML model benchmarking and analysis Support AI model optimization and deployment for customers More ❯

solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to … FastAPI), and writing clean, maintainable code. SQL: Expertise in querying, database design/optimization, stored procedures, functions, partitioning/clustering strategies for BigQuery tables. LangChain/Langraph: Experience building LLM-powered applications with prompt m anagement/chaining and integration with various LLM providers. BigQuery: Advanced knowledge of data warehousing/analytics, BigQuery ML for in-database machine learning, query More ❯

through hands on coding Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM) Familiarity with version control practices (Git), containers, MLOps Experience with at least one cloud platform Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for More ❯

Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the latest in AI toautomate and More ❯

is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and strategy. Key Responsibilities: Design and deliver NLP and LLM-based algorithms tailored to internal user needs Apply RAG methods to provide accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to More ❯

is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and strategy. Key Responsibilities: Design and deliver NLP and LLM-based algorithms tailored to internal user needs Apply RAG methods to provide accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to More ❯

ROLE OVERVIEW Croud is a global, full service digital marketing agency with a unique business model that helps businesses drive sustainable growth in the new world of marketing. Croud was recently named a Sunday Times Best Place to Work for More ❯

ROLE OVERVIEW Croud is a global, full service digital marketing agency with a unique business model that helps businesses drive sustainable growth in the new world of marketing. Croud was recently named a Sunday Times Best Place to Work for More ❯

Job ID: Amazon Development Centre (India) Private Limited The AOP (Analytics Operations and Programs) team is responsible for creating core analytics, insight generation and science capabilities for ROW Ops. We develop scalable analytics applications, AI/ML products and research More ❯

Job description At Permutable AI, were building intelligent systems to automate market analysis using advanced NLP and multi-LLM frameworks. Our goal is to dramatically accelerate how financial information is processed, understood, and acted on, enabling faster, smarter decisions for financial analysts. As a small, ambitious start-up, youll work directly with our founder and a core team of talented … engineers to drive innovation. What Youll Do Design & Deploy production-grade LLM pipelines - from model training and evaluation through continuous monitoring and scaling. Build & Optimise AI models in Python: fine-tune state-of-the-art architectures on our in-house GPU cluster. Orchestrate Workflows with Apache Airflow: schedule, monitor, and maintain complex data and model pipelines. Engineer Cloud Services on More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and More ❯

Location(s): UK, Europe & Africa : UK : Great Baddow BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states More ❯

technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If More ❯

technologies (SQL, NoSQL, vector databases). Preferred Qualifications Experience in MarTech, AdTech, or B2B marketing technology, with a background in marketing data and analytics platforms. Familiarity with prompt engineering, LLM optimisation, and designing data processing pipelines (ETL). Agile development experience (Scrum, Kanban) and a track record of integrating AI into business applications. What you need to do now If More ❯