26 to 50 of 847 LLM Jobs in England

AI engineering projects utilising LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour. You might be a good fit if you Bring your deep-dive software engineering expertise Thrive in a results-driven environment, where flexibility fuels impact Be a game 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 ❯

multi-threaded asynchronous C++ or Go development. You have prior experience in one of: resource orchestrators like slurm/kubernetes, high performance computing, building scalable systems, experience in large language model training. This is a great team to come to have a huge impact on AWS and the world's customers we serve! A day in the life Every day More ❯

sector. Experience with scalable AI model deployment, including end-to-end ML model lifecycle management, optimizing training, inference, and monitoring for large-scale AI applications. Knowledge of Generative AI & LLM infrastructure, including AI ecosystems for GPT, OpenAI, and optimizing data ingestion, model scaling, and performance tuning. Proficiency in Python & C++ for building ML pipelines, optimizing AI inference, and ensuring low More ❯

internal and client projects. You will be involved in: Applying data science best practices and standards across projects. Assisting in the design and implementation of Generative AI applications, including LLM workflows, RAG architectures, and prompt engineering. Collaborating with stakeholders to identify opportunities where GenAI can streamline tasks, automate insights, or improve decision-making. Gathering, processing, and managing data from disparate More ❯

of machine learning principles, deep learning techniques and GenAI concepts such as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents. Familiarity with LLM and agentic frameworks like LangChain, PydanticAI, or similar. Proficiency in ML-Ops practices and tools; strong understanding of DevOps and CI/CD. Experience with cloud platforms, e.g. AWS (preferred 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. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability 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. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability 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 ❯

in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯

in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical skills: Ability to interpret More ❯

certifications such as OSCP, GIAC (GWEB, GWAPT, GCSA), CISSP, or CSSLP. Experience working in SaaS, multi-tenant cloud environments. Knowledge of machine learning security (AI/ML model risks, LLM security best practices). Familiarity with attack surface management and threat intelligence. What do we offer? We value our people and offer a competitive salary along with company bonus Strong More ❯

Shops & Onsite Shop, Sports & Social Club and More Skills Required: 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 ❯

providing insights and recommendations on platform strategy and execution. Proactively identifying, managing, and communicating platform level risks and issues. Define and implement best practices for AI/ML/LLM operations. Drive automation and cost efficiency across cloud resources. Ensure platform governance, compliance, security and data privacy. Lead Platform Proofs of Concept (PoCs) and evaluate emerging technologies. Champion collaboration across More ❯

business. Current and upcoming products include: A bespoke exposure mapping and catastrophe scenario modelling tool An 'underwriter dashboard' built to enable the rapid capture of underwriting data, including an LLM-based document processing component Portfolio performance visualisations and analytics to support underwriting strategy decisions Core Responsibilities Working alongside Value and Delivery Leads, help the Innovation team to grow from a More ❯

AI future. We expect this team to work across multiple technologies around a core, including Python, AWS (EKS, S3, Lambda, CDK, etc.), AI/ML/Data Science libraries (LLM tooling, pandas, etc.) About Role: We are hiring several Software Engineers of differing levels to build AI capabilities through the delivery of AI-powered features within PatentSight+ and internal AI More ❯

test infrastructure that combines traditional CI/CD pipelines with AI-driven decision making for optimized test selection, parallel execution, and automated result analysis Lead technical strategy for implementing LLM-based approaches to test script generation, automated debugging, and intelligent test maintenance across our distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering More ❯

containerized deployments. Manage backup and disaster recovery procedures for all critical systems. Collaborate with engineering teams to containerize services and fine-tune runtime performance. Evaluate and integrate AI/LLM tools to improve automation, diagnostics, and operational efficiency. Requirements 5+ years of DevOps or SRE experience in high-availability, real-time systems. Strong hands-on experience with AWS services (EC2 More ❯

development - Excellent communication, presentation, and negotiation skills with the ability to build and maintain C-level client relationships - Experience building data or machine learning pipelines, incl. deep learning, GenAI, LLM, etc. as well as hands on experience on AWS services like SageMaker and Bedrock, and programming skills such as Python, R, SQL, Java, Julia, Scala, Spark/Numpy/Pandas More ❯

of what we're building Working with third parties to ensure that the product is best-in-market for the businesses that we work with Set up AI/LLM workflows to generate insights, write SQL queries, draft tickets, automate tasks and teach you new skills How you will contribute to the Product Team's objectives: Autonomy ; you are comfortable More ❯

5G O-RAN domain, contributing to the next generation of intelligent mobile network solutions. Responsibilities: Design, implement, and evaluate machine learning models with a focus on deep learning and LLM applications Develop and fine-tune models for application development in the 5G O-RAN domain Collaborate with developers and domain experts to integrate AI solutions into scalable systems Leverage Kubernetes More ❯

and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI 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 ❯

or a closely related field. Strong foundational knowledge of machine learning and deep learning , with hands-on experience using frameworks such as PyTorch , TensorFlow , or JAX . Exposure to LLM fine-tuning and/or experience working with transformer-based models (e.g. GPT, LLaMA, Mistral). Interest in or familiarity with agentic AI frameworks and multi-agent systems . Some 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 ❯