126 to 150 of 980 LLM Jobs in the UK

expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production‐grade AI solutions, including RAG pipelines and LLM‐based applications Hands‐on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private ...

with the ability to translate requirements between technical and business stakeholders. Experience designing scalable cloud architectures and integrating with enterprise systems. Familiarity with common LLM frameworks and tools or a background in machine learning or data science. Excitement for engaging in cross‐organizational collaboration, working through trade‐offs, and balancing ...

with any of the following would be helpful: Third-party API integrations AWS Lambda or serverless development Event-driven systems OpenAI, Anthropic or other LLM APIs Prompt engineering, MCP or agent patterns React PHP, Laravel, MySQL or DynamoDB Swift or SwiftUI You are not expected to have worked with everything ...

institutions. Track record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accounts. Experience using AI and LLM‐based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI context. BONUS POINTS FOR THE FOLLOWING: Direct ...

skills in product engineering, data engineer, cloud platform engineering who are looking to deepen their AI expertise. Understanding and hands‐on experience with LLM based applications and related technologies (e.g. RAG, vector databases, agent frameworks). Experience managing and deploying AI Agent and Knowledge Management systems is a plus (e.g ...

maintain documentation of support processes & resolutions to known operational issues. Participate in a 24/7 on call rota as required Experience with LLM’s including realtime models Experience with Docker, Container Apps, containerised distributed systems, Terraform, Kafka, New Relic, MCP, Websockets Experienced in writing automated tests and maintaining ...

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 ...

leading role in solving complex, high-impact challenges across the automotive finance industry. You will design, build and deploy production-grade AI solutions, including LLM-powered virtual agents, agentic AI systems and intelligent automation that improve the customer finance journey and support better operational outcomes. Reporting to the Director … taking responsibility for the path from prototype to production. Key Responsibilities AI Solution Development: Design, build and deploy production-grade AI solutions using modern LLM and agentic AI frameworks such as LangChain, LangGraph and Microsoft Foundry, working closely with stakeholders to identify high-value use cases across the business. ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and ...

Senior AI Engineer Manager/Associate Director | Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and ...

executive and practitioner audiences. Bachelor's degree or equivalent experience in a technical or business field. Bonus qualifications: Experience with AI accelerators or GPUs LLM fine-tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary ...

executive and practitioner audiences. Bachelor's degree or equivalent experience in a technical or business field. Bonus qualifications Experience with AI accelerators or GPUs LLM fine‐tuning or inference knowledge Familiarity with Sambanova products or similar MLOps platforms Enterprise SaaS or PaaS background MBA or advanced technical degree Base Salary ...

engineering, data science, and research teams to translate requirements into robust, scalable ML infrastructure solutions. In This Role You Will: Enable AI/ML, LLM, and Agentic Systems teams for scale – The ML infrastructure team is responsible for building and operating platforms that allow data scientists and ML engineers ...

real actions for real organisations. Design agent intelligence: prompts, reasoning, tool calls, and integration with customer systems using the Agentic AI platform and current LLM techniques. Own technical components end‐to‐end: architecture choice, deployment, validation, and observability in production. Build and integrate data pipelines on Salesforce Data360, Snowflake, Databricks ...

Master’s degree or equivalent experience Engineering background preferred Fluency in SQL, Python, GCP and Data Science, hands on coding ability Understanding of LLM‐based systems, prompt design, and AI model evaluation frameworks Familiarity with automation frameworks and observability tools (Amplitude, Datadog, Looker) to assess reliability and performance Strong data ...

Define GPU compute strategy across Kubernetes, Vertex AI and SageMaker, balancing performance, scalability and cost efficiency. Drive the production adoption of Generative AI and LLM capabilities, establishing best practices for evaluation, deployment, experimentation and governance. Collaborate with engineering teams to resolve cross‐platform dependencies and remove technical blockers before they ...

Finance, and senior business stakeholders. Willingness to travel 25–50% and operate across customer time zones. What will set you apart: AI/LLM architecture experience – RAG, knowledge graphs, agent design, AI governance. Domain depth in one or more of: DevOps/Platform Engineering, ITSM/ESM, Agile‐at‐Scale ...

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 ...