76 to 100 of 393 LLM Jobs in England

Functions, Databases) Decent knowledge of Microsoft 365 products, SharePoint, Teams, Office, Administration Web development skills, HTML, CSS, JavaScript, React, REST APIs, Node. Any AI, LLM & chatbot exposure would be very welcome Experience of working within Source Control & Agile Practices (Azure DevOps) Able to implement IT Security best practices and improvements. ...

design → production Collaborating closely with platform/DevOps engineers Enhancing observability, automation, and operational excellence Communicating directly with the client to clarify requirements Using LLM/AI development tools day‐to‐day Participating in code reviews and elevating engineering standards Requirements You're a great fit if you bring: 8+ ...

internal tools and lightweight platforms to improve workflow efficiency Supporting automation across reporting, document handling, internal processes, and knowledge workflows Working with AI/LLM-based solutions to solve practical business problems Helping create bespoke internal systems rather than relying solely on off-the-shelf software Collaborating closely with senior ...

Azure Devops, Azure App Centre, Service Bus Explorer, SSMS and agile software development process/practices and other productivity tools AI-driven development/LLM/Azure Document Intelligence Elastic Search/Kibana/ELK Stack Azure DevOps YAML, Terraform Interested? If you feel you have the skills and qualities ...

monitoring models in production Strong understanding of neural networks, CNNs, RNNs, LSTMs, and transformers Experience building automated data pipelines Hands-on experience with LLM tooling and libraries (e.g., Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector ...

presales engagements within enterprise or consulting environments Strong capability in value-based solutioning including business case development and ROI modelling Experience shaping GenAI, LLM and agentic AI solutions on major cloud platforms such as AWS, Azure or GCP Strong understanding of enterprise AI architecture patterns and solution design Experience supporting ...

role offers complete autonomy over the build, architecture and scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM/AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java/JVM and API-first architecture. The position offers a rare modernisation opportunity ...

concepts, model lifecycle design and enterprise deployment patterns Experience with cloud-based AI/ML platforms Hands-on experience with deep learning frameworks and LLM toolkits Strong grounding in conceptual and logical architectural design, including integration and security considerations What's on Offer Salary up to £110,000 Hybrid working ...

build robust, scalable applications powered by large language models. The Role As an AI Engineer, you will design, build, and deploy production‐grade LLM‐powered systems . This role sits at the intersection of software engineering , AI implementation , and agentic orchestration . You will work on: Multi‐agent architectures Intelligent … observability Production workflows that ensure reliability, consistency, and scale You’ll play a critical role in crafting the orchestration layer that makes LLM systems trustworthy—handling failure modes, optimising agent collaboration, and improving robustness across diverse use cases. Key Responsibilities Build production AI systems using LLMs, RAG pipelines, vector databases ...

challenging business opportunities. Demonstrate an understanding of a client’s business and use of leading Data Platform (specifically focused on GCP, Databricks, Snowflake), AI, LLM technologies to craft transformational value propositions for the clients. Proactively create, identify, and develop opportunities for GenAI/AI solutions. Provide domain and digital solution ...

overcome challenges Role Requirements 5+ years of experience in software engineering or a relevant field Experience with agent architecture in a professional environment via LLM/VLM reasoning and planning systems Educational experience highly preferred (PHD, Masters etc) in a relevant area Python or other deep learning frameworks Bonus ...

methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM-based and data-science-driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. ...

clarify requirements and propose solutions. Contribute to and improve automated testing practices. Participate in peer code reviews and maintain high engineering standards. Leverage LLM/AI- enabled development tools as part of day- to- day development. Requirements 8+ years of professional software development experience. 3+ years hands- on experience with ...

clarify requirements and propose solutions. Contribute to and improve automated testing practices. Participate in peer code reviews and maintain high engineering standards. Leverage LLM/AI- enabled development tools as part of day- to- day development. Requirements 8+ years of professional software development experience. 3+ years hands- on experience with ...

large enterprise or consulting environments Strong capability in AI value articulation, including ROI modeling, business case development, and outcome‐based selling Experience in GenAI, LLM, and Agentic AI solutions on hyperscaler platforms (AWS, Azure, GCP) Deep understanding of enterprise buying processes, RFPs, commercial constructs, and deal shaping. Ability to engage ...

Python, looking to move to Golang or Rust Typescript Cloud-native architecture on GCP (BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Own engineering problems end-to-end across backend and systems architecture Contribute to optimisation ...

Flutter Backend systems built in Python, Rust and TypeScript Cloud-native architecture on GCP (BigQuery, Cloud Run) Extensive use of ML modelling and LLM inference Robotics and IoT integrations across operational workflows What You'll Do Take ownership of mobile engineering end-to-end using Flutter Work across the broader ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

Strong foundation in software development with C# and TypeScript. - Experience with AI/LLM concepts (e.g., prompt engineering, RAG). - Analytical mindset for assessing sufficiency (relevance, completeness, freshness) and mitigating risks like hallucinations. - Focus on Clean Architecture and Clean Code principles. Reasonable Adjustments: Respect and equality are core values ...

scale backend systems using Python and Django Own features end to end from idea through to production Design and evolve agent based workflows and LLM integrations Work with RAG style systems and context heavy data pipelines Improve performance across APIs, background jobs and data processing Collaborate closely with product ...

cloud-based platform combining Python services, data pipelines, and React applications Turn complex quantitative models and datasets into production systems Integrate AI/LLM workflows and data pipelines Work closely with researchers and domain experts to bring analytical models into real-world applications Help shape the long-term engineering team ...

positive difference through the development of AI solutions is what they do best. If you’re proficient in python, are enthusiastic about working with LLM’s and have strong experience leading the design and development of production grade solutions in enterprise, then this job could be a great next step ...

Zapier, Make, and LangChain UI. Create automated workflows connecting apps, APIs, and data sources to drive decision-making. Use prompt engineering to design intelligent, LLM-powered behaviours. Prototype, deploy, and optimise autonomous systems. Collaborate with developers and engineers when needed, leading the build process. Document, test, and improve AI agents ...

Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending ...

Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending ...