26 to 50 of 286 LLM Jobs in the UK excluding London

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

and mobbing techniques in programming, code reviews, system design and requirements analysis/refinement, etc. - Coaching and mentoring other team members, as appropriate. Essential Skills: - OCR, Object Detection and LLM analysis implementation - Machine Learning & AI Libraries including Transformers/Hugging Face for working with pre-trained LLMs, fine tuning, and inference, PyTorch for deep learning model development and training, OpenCV More ❯

functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and More ❯

functional teams is key to ensuring seamless integration with existing digital services. What You'll Need to Succeed Commercial experience with AI/ML technology: OCR, Object Detection and LLM analysis implementation * Machine Learning & AI Libraries including: o Transformers/Hugging Face for working with pre-trained LLMs, fine-tuning, and inference o PyTorch for deep learning model development and More ❯

APIs for enterprise-grade apps with complex integrations. Strong skills in system design and SQL data modeling for high-traffic applications (10k+ daily users). Hands-on experience with LLM/AI features (semantic search, vector DBs, RAG, prompt engineering). Comfortable working in fast-paced, agile environments and collaborating with global teams. Excellent communication skills with the ability to More ❯

Data Science, AI/ML, or analytics projects . Strong ability to shape product strategy and communicate a compelling vision. Previous experience in supporting Data Science and AI (ML, LLM) based products from scratch. Background in finance or retail Excellent communication skills and the ability to influence stakeholders at all levels. More ❯

either through formal education or equivalent demonstrable hands-on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed More ❯

either through formal education or equivalent demonstrable hands-on experience. Proven experience developing web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed More ❯

versioning, and advanced fine-tuning (LoRA, QLoRA, etc.). AI Engineer requirements: Solid Python skills (3.9+) with deep knowledge of async, OOP, and performance tuning. Hands-on experience with LLM fine-tuning , image processing, and ML libraries. Experience building and maintaining cloud-native AI/ML services . Familiarity with Agile development , TDD, and infrastructure-as-code. Bonus: experience with More ❯

Status - Inside Key Responsibilities Design, build, and deploy Python-based AI applications. Research and prototype advanced GenAI techniques, including fine-tuning, prompt engineering, RAG, and agentic systems. Develop LLM-assisted frameworks and contribute to scalable AI architectures. Write clean, maintainable, and well-documented code. Implement testing pipelines and evaluation frameworks. Collaborate with data scientists, software engineers, and domain experts to More ❯

and deploy Python-based AI applications for internal use Conduct R&D on generative AI techniques including fine-tuning, prompt engineering, and retrieval-augmented generation Build agentic systems and LLM-assisted frameworks using modern orchestration tools Collaborate with cross-functional teams to deliver production-ready solutions Maintain high standards of code quality, documentation, and testing Develop evaluation pipelines and ensure More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

for innovation, and ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and More ❯

Job Description: About bp bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero More ❯

infrastructure. What we’re looking for Experience leading or mentoring technical specialists. Hands-on background in AI methods such as NLP, machine learning, deep learning, and statistical modelling (large language model experience a bonus). Proficiency in software engineering , with a strong grasp of algorithms and data structures. Excellent communication skills, comfortable engaging both technical and non-technical audiences. Track More ❯

productivity. 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 More ❯

best practices in model deployment, evaluation, and optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering More ❯

translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities. Leverage Generative AI ExpertiseUtilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery. Who We're Looking For Essential Qualifications & Experience Strong software engineering background with deep experience deploying scalable systems More ❯

for clean, maintainable code. Expertise in Entity Framework and MS SQL . Experience with cloud platforms (Azure or AWS). Hands-on experience or strong interest in AI/LLM integration , including prompt engineering and API orchestration. Familiarity with code generation techniques (e.g., Roslyn, T4, source generators). Comfortable working in a Copilot-enhanced Visual Studio environment and embracing AI More ❯

and evaluate AI and Machine Learning models Apply cutting-edge Machine Learning and AI techniques to solve complex modelling challenges in the energy sector Leverage Generative AI capabilities, including LLM post-training and fine-tuning, to develop innovative solutions for energy-related challenges Collaborate with product, engineering, and domain teams to understand user requirements and develop innovative, production-ready AI … deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs) for modelling complex relationships or Physics-Informed Neural Networks (PINNs) for incorporating domain knowledge LLM Specialisation : Hands-on experience with modern LLM training techniques including fine-tuning, RLHF, parameter-efficient methods (LoRA/QLoRA), or custom post-training workflows Generative AI for Prediction : Ability to … looking for: Strong Python proficiency with hands-on experience in AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker More ❯

AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model … etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a More ❯

Reports to: Data Director/Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 £80,000 location and experience dependent + 10% company bonus scheme Why This Role More ❯

Summary We're looking for an innovative AI Solutions Engineer to architect, develop, and deploy intelligent automation systems. The successful candidate will possess deep expertise in prompt optimisation, Large Language Model integration, and strategic business consulting to create meaningful AI-driven solutions. Working alongside business teams, you'll uncover automation possibilities, establish technical requirements, and develop systems that bridge Large More ❯

role in a growing SaaS product company ? Keen to grow your technical skills around .Net 8, assist the CTO directly with the adoption of the latest Gen' AI/LLM dev tools (Cursor, v0, Windsurf, Copilot, etc) & act as technical lead/mentor to a small Dev' team? If yes to the above & you'd like to join a growing More ❯