326 to 350 of 2,795 LLM Jobs in England

engineer. Experience in a startup or similarly fast-moving, innovative environment with a track record of delivering scalable, mission-critical production applications. Experience building LLM-powered product features: retrieval, tool use, agent workflows, evaluation and observability of model output. Familiarity with Ruby/Rails, React, Federated GraphQL, Kafka, Kubernetes, Docker ...

most challenging problems and create lasting value. What are we looking for? You will lead the design, development and deployment of AI solutions, including LLM-based agents, automation and decision‐support tools, helping clients achieve measurable outcomes while ensuring solutions can be operated safely and effectively in enterprise environments. Potential ...

trying to understand: "what happens under the hood?" and “why is this done that way?” Technical Mastery: Strong grasp of API based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. Product Excellence Obsession: You have product taste/judgement and are obsessed with building ...

Azure, including containers, Kubernetes and CI/CD. Strong diagnostic skills and sound technical judgement. Some practical experience of AI development tools and LLM-based features, including retrieval, semantic search or agents. The ability to guide technical discussions and support colleagues. The technology stack includes Vue 3, PostgreSQL, Azure DevOps ...

self‐direction and clear async communication skills, with experience thriving in distributed team environments. Familiarity with hosting, serving, or orchestrating agentic AI systems and LLM workflows. Nice-to-Have Experience building and scaling modern data pipelines or stream-processing architectures. Experience working with early‐stage technical companies Working Hours & Overlap ...

with GitHub Actions Desirable Experience • Cloud deployment, particularly Google Cloud; AWS (Bedrock, S3, ECR, EKS) is also used today • Kubernetes and Helm • Working with LLM providers (OpenAI, Anthropic, Bedrock) and locally hosted models (Ollama) • Data labelling workflows (e.g. Label Studio) • Government, defence or other security-cleared programmes Working Environment Central ...

with GitHub Actions Desirable Experience • Cloud deployment, particularly Google Cloud; AWS (Bedrock, S3, ECR, EKS) is also used today • Kubernetes and Helm • Working with LLM providers (OpenAI, Anthropic, Bedrock) and locally hosted models (Ollama) • Data labelling workflows (e.g. Label Studio) • Government, defence or other security-cleared programmes Working Environment Central ...

testing), plus solid R with experience building and deploying Shiny applications Good SQL and experience integrating systems through REST APIs Practical experience building with LLM APIs or AI coding tools, including prompt design and structured outputs Comfortable with Git and working iteratively with non-technical users, translating their needs into ...

Experience mentoring others and the communication skills to explain complex trade-offs to non-technical stakeholders. Bonus points: differential privacy or secure computation experience, LLM/agentic AI/frontier AI evaluation work, published research, or experience in regulated industries (insurance, financial services, public sector). Why join us Real ...

baseline so you can prove the impactBuild and ConnectBuild, test and deploy end-to-end workflows using automation platforms, APIs and LLM agentsExtract and validate information from emails, PDFs, invoices and contractsConnect cloud business systems with secure, reliable data flowsKeep Humans in ControlBuild in approvals, permissions, exception handling and clear ...

mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations , making use of the Grafana Stack (Prometheus, Loki, Tempo) Develop integrations and services that communicate with Google Services. Working closely with Data Scientists ...

/CD concepts and practical experience with GitHub Actions or equivalent (Jenkins, GitLab CI, CircleCI) Experience building or working with custom AI/LLM agents in a test engineering or quality context Solid knowledge of software testing methodologies Experience with API test automation using REST or GraphQL (Pytest, Requests ...

flows and API systems Nice to have AI tools Experience with Copilot, Cursor, Claude, or similar AI-assisted development tools AI systems Exposure to LLM-powered systems, agent frameworks, or tool orchestration patterns Interest in how agent actions and execution context can be structured for analysis How we work Small ...

present processing, checkout, gateways, tokenization, 3DS/SCA, fraud/risk systems, dispute workflows, merchant reporting, or other real-time money movement platforms.Experience with LLM-powered applications, AI agent frameworks, tool-calling systems, MCP-style integrations, A2A-style protocols, or standards work related to agent identity, delegated authority, verifiable intent ...

engineering across AWS and/or Azure Practical experience designing, automating and supporting cloud infrastructure and services. Experience deploying and operating AI agents or LLM-based services, ideally using Amazon Bedrock, including monitoring, governance, quality assurance and agentic workflows across the software delivery lifecycle. OpenShift Experience building or operating platforms ...

/CD concepts and practical experience with GitHub Actions or equivalent (Jenkins, GitLab CI, CircleCI) Experience building or working with custom AI/LLM agents in a test engineering or quality context Solid knowledge of software testing methodologies Experience with API test automation using REST or GraphQL (Pytest, Requests ...

with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure Familiarity with a wide variety of Internet technologies ...

context of Sitecore headlessdelivery AI & Modern Development Demonstrated experience integrating AI coding assistants (GitHub Copilot, Cursor, orsimilar) into a professional development workflow Understanding of LLM capabilities and limitations as applied to code generation,documentation, and test coverage Ability to designstructured,AI-readable inputs (design tokens, content schemas,componentspecs) that enable ...

distributed teams across multiple geographies. Desired Experience & Qualifications Experience dual-running or migrating workloads across both AWS and GCP. Hands-on experience operationalising LLM/AI security models or agentic automation in software engineering. Industry certifications reflecting broad architecture and offensive depth (e.g., CISSP, CISM, OSCP, or hyperscaler Security Specialties ...

event-driven data pipelines. Knowledge of data visualisation preferably Tableau or Metabase. Experience making data safely self-service through internal tooling, analytics platforms or LLM-powered interfaces. Experience supporting product analytics or building data-powered product features. Benefits 25 days holiday plus bank holidays; 3 days winter leave; Work from ...

Our client is a UK digital technology and software consultancy. Join our client and Shape the Future We're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we ...

emerging technologies and make recommendations for platform evolution. Participate in architecture design reviews and provide technical leadership on complex initiatives. Complementary AI Based Skills LLM Orchestration & Agentic Workflows: Experience in designing, building, and deploying Large Language Model (LLM) orchestration frameworks (e.g., LangChain, Temporal, or custom agentic loops) to coordinate multi ...

with infrastructure-as-code tools (e.g., Terraform, Ansible, Pulumi). Contributions to open-source infrastructure or ML tooling projects. Experience with large language model (LLM) training and inference infrastructure. What we can offer you: Hybrid working model (3:2) Positive work life balance Learning and development Lenovo and Motorola products ...

systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches, including model selection, fine-tuning, evaluation, and failure analysis Define and drive experimentation strategy, including offline evaluation and online testing, to rigorously measure impact ...

Years of Professional Experience Qualification Bachelor's or Master's Degree in Computer Science, Machine Learning, or related field Job Skills Python LLM Fine-Tuning NLP RAG Architectures Vector Databases SQL Generation PyTorch/Transformers As an AI/ML Engineer at Nexalytica, you will design and improve the core ...