1 to 25 of 197 LLM Jobs in the UK excluding London

team members on code development. To Qualify for the Role, You Must Have As a Senior Data Scientist, you should have strong commercial development experience in developing and deploying LLM-based applications. Strong understanding of AI/ML algorithms, data science, and machine learning. Demonstrated proficiency in: Rapid prototyping of Data Science and Machine learning problems on large datasets. Building More ❯

transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Job role: Senior Software Engineer - PriceFX Implementation Years of Experience More ❯

Why This Role Stands Out: This opportunity will enable you to lead transformative AI products that go beyond dashboards and models,powering real-time automation, autonomous decision making, and LLM-driven innovation. Join an organisation investing heavily in next-gen AI, with an open mindsetfor experimentation and thought leadership. 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 you’ll get in return: You’ll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and 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 ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity 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 ❯

problems with innovative approaches while balancing real-world practicality to deliver meaningful impact. Key Responsibilities Lead multiple data science projects from concept to deployment.? Architect and implement GenAI/LLM solutions (prompt engineering, fine-tuning, evaluation frameworks).? Write and review high-quality Python code for production-ready solutions.? Communicate complex analytical findings in a clear, business-relevant way to More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

understanding of data modelling, ETL processes, and relational databases Experience with big data technologies and cloud platforms, ideally Azure Exposure to embedding models, vector search, and scalable deployment of LLM-powered solutions Other information Company Benefits and Initiatives Include: 25 days annual leave in addition to bank holidays - increasing by one additional day after 6 years, up to a maximum More ❯

finish Preferred Experience 3+ years of professional software engineering experience Familiarity with GraphQL, gRPC, REST API design Experience with relational databases such as MySQL or PostgreSQL Exposure to AI, LLM integrations, or symbolic/neural hybrid systems Background in enterprise SaaS delivery or platform engineering Why Join Us? Work at the frontier of AI, logic-based reasoning, and decision automation More ❯

Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns. Guide teams in integrating AI/ML capabilities-including prompt-based LLM use cases, model inference, and feature pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership More ❯

Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns. Guide teams in integrating AI/ML capabilities-including prompt-based LLM use cases, model inference, and feature pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and business goals. Provide thought leadership More ❯

Innovation Developer | Financial Services | Berkshire | Hybrid | 6 Months Initial Contract | £800/day Inside IR35 | Large Language Models LLM | PoC | AI | Artificial Intelligence Our client is seeking an experience Innovation Developer to be responsible for for transforming visionary ideas into tangible prototypes and proof of concepts (POCs) that leverage cutting-edge AI and full-stack technologies. You will be at More ❯

is critical. We're also entering an exciting new phase of AI-powered innovation across the platform. Experience with AI product workflows, especially Agentic AI Architecture, RAG, CAG, and LLM prompting, will be considered a strong bonus. Core Responsibilities Run Agile Ceremonies Lead daily standups, sprint planning, sprint reviews, and retrospectives Ensure agile cadence and rituals run smoothly and predictably More ❯

UK Based) Salary: £70,000 The Role I’m working with a start up company who are are looking to hire an AI Engineer to help design and deploy LLM-powered tools. You'll prototype and build end-to-end systems that extract and act on data from diverse document types using LLMs, RAG pipelines, and agent-based reasoning. Experience More ❯

Experience hardening cloud environments (NSGs, identity, Defender). Demonstrated automation of backups, CI/CD deployments, or DR workflows. Nice-to-Haves: Experience with Azure OpenAI , vector databases, or LLM integrations. Power BI data modeling, DAX, and RLS. Certifications: AZ-104 , AZ-305 , DP-203 , or AI-102 . Knowledge of ISO 27001 , Cyber Essentials+ , or SOC 2 frameworks. Exposure More ❯

development, and deployment of behavioural anomaly detection models using unsupervised learning, deep learning (e.g. auto-encoders), and novelty detection techniques. Lead a team of Data Scientists Drive innovation in LLM-based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with More ❯

quantitative analyses (regression, segmentation etc.) Proven experience in advanced analytics, particularly with survey data (e.g., SPSS, R, Q) Proficiency in programming languages supporting data science solutions (e.g., Python, SQL, LLM) Familiarity with various data sources beyond survey data, such as behavioural analytics or 1st party data (1PD). Strong analytical and problem-solving skills, with the ability to translate complex More ❯

experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK EYES ONLY); eligibility for DV/UKIC clearance is a plus Why Apply More ❯

peers for support and knowledge sharing. Essential Skills and Experience Technical Expertise - Strong Python programming skills, with experience in scripting and automation for client-driven solutions. - Experience in building LLM-powered applications, with a focus on API-level usage, tool/function calling and prompt engineering. - Experience in developing/utilising APIs (RESTful APIs, third-party platforms and internal APIs 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 ❯