151 to 175 of 1,011 LLM Jobs in the UK

real actions for real organizations. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems, leveraging our Agentic AI platform and current LLM techniques. Own technical components end-to-end: from architecture choice to deployment, validation, and observability in production. Build and integrate data pipelines on Salesforce Data ...

Engineering will lead the design, deployment, integration and continuous improvement of enterprise AI and machine learning capabilities, including ML platforms, generative AI, LLM services, feature pipelines and MLOps tooling. The role is responsible for establishing AI engineering standards, governance and best practices across the model lifecycle, ensuring solutions are scalable ...

scale RAG architectures and retrieval evaluation. Knowledge of emerging open knowledge standards and interoperable knowledge formats. Experience with context engineering for AI agents and LLM applications. Experience designing knowledge graphs and semantic data models. Familiarity with modern orchestration, workflow and data engineering platforms. Experience supporting AI, machine learning or autonomous ...

training paradigms tailored for generating high-fidelity and insightful driving behaviors. Lead the development of cutting-edge deep learning models and generative AI (LLM/VLM) solutions to enhance human-led triaging, introduce automation for high-volume workflows, and perform nuanced analysis of self-driving behavior to detect critical anomalies. ...

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 ...

culture of rigorous experimentation, rapid productization, and clear business accountability.Applied AI Delivery* Oversee the design and delivery of production AI systems - agentic workflows, LLM-powered co-pilots, ML inference pipelines, embedded into live front-office operations.* Ensure solutions integrate seamlessly with core systems and existing architectures.* Drive the transition from ...

services and enabling technologies across Azure (e.g. APIM, Azure AI Foundry, Databricks, MCP) that accelerate delivery of AI solutions such as Agents, RAG, and LLM‐powered applications. You will work closely with architecture, AI engineering, and product teams to translate business needs into robust, platform‐first solutions, ensuring alignment with ...

data science experimentation, MLOps, API integrations, and application deployment. Support external data ingestion, scheduling, BI connectivity, developer tooling, and operational reporting. Enable AI and LLM integration patterns. Develop migration strategies for workloads currently hosted on POSIT. DevOps & Platform Engineering Define and implement platform engineering standards and self-service capabilities. Design ...

metrics to measure retrieval quality, context relevance, and end to end agent performance. Build reliable backend services and data pipelines that support ML and LLM components in production. Deliver experiments and new capabilities quickly, maintaining high quality and tight feedback loops with customers. Collaborate across product, ML, and infrastructure teams ...

design decisions across teams. Pragmatism under real‐world constraints, choosing achievable solutions over theoretical perfection. Highly desirable: hands‐on exposure to AI‐assisted engineering (LLM APIs, agentic coding tools, prompt‐driven workflows), experience taking early‐stage products from PoC/MVP to production, AWS experience, domain experience ...

technical SEO fundamentals - Proficiency with Google Analytics, Google Search Console and SEMrush - Understanding of Generative Engine Optimisation (GEO), Answer Engine Optimisation (AEO) and LLM visibility strategies - Python, SQL or automation experience The closing date for this role is 26th June 2026. Other organisations may call this role AI Marketing Executive ...

bigger picture — contributes to shaping direction, not just executing tasks Thrives in environments where impact matters more than hierarchy Experience deploying AI/LLM systems into production. JOB RESPONSIBILITIES Build robust and scalable software for business critical, web‐based applications Build eye‐catching, functional, efficient, and reusable web and mobile ...

solutions into production workflows, reducing manual intervention and improving operational resilience Leverage AI-driven tools such as anomaly detection, AI-assisted log analysis, and LLM-based copilots to proactively identify production issues and accelerate triage Represent the team confidently in cross-functional discussions with Technology, Product, and Client Services, pushing ...

solutions powering customer-facing products worldwide. You’ll work with Product, Platform and Engineering to develop production-grade AI systems, autonomous agents and LLM-powered applications. You’ll design and deliver production-ready AI solutions, build autonomous agents, orchestration, prompt engineering and Azure deployment. #J-18808-Ljbffr ...

platforms. Responsibilities include AI solution design, cloud engineering on GCP, data, MLOps, Responsible AI governance, and collaboration with underwriters and operations. Strong Python and LLM experience required. #J-18808-Ljbffr ...

senior AI/ML Scientist to deliver end-to-end AI solutions, from research to production, in a financial services context. You will design LLM/GenAI systems, RAG pipelines, and GraphRAG representations, collaborating with data and platform teams. The role emphasises experimentation, evaluation metrics, and production observability of LLMs ...

platform team. You will own delivery of high-stakes customer projects, embedding at client sites to architect, build, and deploy multimodal AI systems and LLM applications. You’ll drive end-to-end development from discovery to production, work across voice, vision, and text, and leverage LangChain, LlamaIndex, and modern MLOps ...

turn AI ideas into scalable products. What you’ll be doing Build and deploy production AI solutions using Python and modern AI frameworks Develop LLM applications using RAG, prompt engineering and agentic workflows Shape AI architecture, tooling and engineering standards Work across Azure, cloud infrastructure and deployment pipelines Integrate ...

have MongoDB and OpenSearch Vector databases (Qdrant, Weaviate, Milvus, Pinecone, pgvector) OIDC or identity infrastructure Infisical, PostHog, Oh Dear, or similar tooling AI/LLM platform experience GDPR-conscious cloud environments Enterprise security and compliance experience ...

concepts Opportunity sizing and commercial analysis Product performance measurement Your Skills & Experience Strong SQL skills Python experience or hands-on exposure to AI/LLM tools Experience delivering actionable insights to senior stakeholders Strong commercial acumen and problem-solving ability Experience designing, measuring and interpreting experiments Excellent communication and stakeholder ...

full-stack applications -JavaScript/TypeScript, Python (Java is a bonus). Experience working with AI technologies from Agentic systems, to RAG/CAG, LLM applications. Experience with cloud ecosystems (GCP, Azure, AWS) Good understanding of enterprise architecture, security and business processes. Comfortable engaging directly with customers and acting ...

deployment principles Desirable exposure: Accessibility and performance standards Cloud platforms ( Azure and/or AWS ) CI/CD pipelines Technical architecture concepts AI/LLM tooling About You An experienced senior developer with a strong track record of delivery Detail-driven, quality-focused and methodical in your approach to problem ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform … products. Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents Develop and deploy advanced LLM‐powered applications using techniques such as retrieval‐augmented generation, prompt engineering, evaluation frameworks, and model optimization Create robust data and inference pipelines that support both ...

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. Join Kainos and Shape the Future At Kainos, we re problem solvers, innovators, and collaborators - driven by a shared mission to ...