601 to 625 of 2,765 LLM Jobs in England

architecture; Familiarity with YAML-based configuration and structured test definitions; Comfortable with Git and basic engineering practices; Experience with AI-assisted workflows and large language model agents; 3-5+ Years of experience in data quality, data testing, analytics engineering, or data engineering with a strong quality focus; Experience investigating ...

Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with LiteLLM, experiment and model tracking with MLflow) would be a welcome bonus A FinOps mindset ...

Design and implement security controls for data pipelines, model training environments, and customer-facing AI agents; Research emerging AI/ML security threats, including LLM and generative AI attack vectors, and build proactive defenses. Требования: 4+ Years of hands-on experience in application security engineering; Proven experience securing large-scale ...

frameworks across pipeline outputsAgentic AI & AI-Assisted DevelopmentLeverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data productsUtilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline developmentDesign and define a set of agentic skills that can be provided ...

practitioner, not just from a slide deck.* Demonstrable ability to lead enterprise architecture conversations, whiteboard solution designs, and scope POCs involving RPA, AI Agents, LLM integration, and enterprise platform integrations (SAP, Salesforce, ServiceNow).* Working knowledge of agentic process automation concepts — agent orchestration, human-in-the-loop workflows, document intelligence ...

customer journey, delivering tailored demos and prototypes according to the customer's requirements. Develop technical domain expertise in Generative AI/large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises. Be accountable for securing the “technical win” by unblocking technical challenges. ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder EngagementAct as a trusted product advisor to client teams ...

features based on client value, feasibility, and commercial impact. Partner with technology and data teams to shape AI-driven capabilities, including agentic workflows and LLM-enabled insights. Ensure secure, scalable, and compliant use of EY, client, and external data. Client & Stakeholder Engagement Act as a trusted product advisor to client ...

time reasoning engines that execute business actions safely at scale Partner closely with the AI Platform team to drive the overarching strategy for large language model operations (LLMOps), ensuring infrastructure supports efficient experimentation and robust deployment Apply deep scientific intuition to the design of AI systems, ensuring that models ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

customers depend on it. 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 deployed, validated, and observable in production. Build and integrate data pipelines on Salesforce Data ...

turn raw client data into production AI systems. You will own data and model layers, build robust data pipelines, and deploy ML and LLM-powered solutions. You will work with senior engineers and clients across FinTech, healthcare, and SaaS, ensuring secure by design practices. With a focus on data quality ...

integrate and operationalise agentic AI systems in production across cloud, on‐prem, hybrid and restricted environments. You will design production architectures for agentic AI, LLM and vision‐language apps. The role requires strong Python, API development, Docker, cloud deployments, and secure, observable production systems. You will build connectors, CI/ ...

scale digital platform. You will design, build and deploy production-grade ML models powering highly personalised customer experiences, including recommendation algorithms, retrieval systems and LLM-powered conversational AI. You will work closely with Product Managers, Engineers and MLOps to move ideas from experimentation into #J-18808-Ljbffr ...

1.0’ systems at the right time Build cutting edge products like global context aware chat with semantic search, care orchestration and LLM-enabled cloud telephony e2e Hire/scale the team, while implementing the right processes at the right times to maximise discounted team productivity and minimise discounted dev time ...

across the full ML lifecycle - from experimentation and evaluation through to deploying reliable systems into production. What you’ll be doing Building and deploying LLM-powered products Working with RAG, fine-tuning and agentic AI Developing evaluation and ML pipelines Improving model performance, latency and reliability Working closely with engineers ...

across the full ML lifecycle — from experimentation and evaluation through to deploying reliable systems into production. What you’ll be doing Building and deploying LLM-powered products Working with RAG, fine-tuning and agentic AI Developing evaluation and ML pipelines Improving model performance, latency and reliability Working closely with engineers ...

awareness and culture across the broader organization. Required QualificationsProven experience in offensive security, including AI Red Teaming/Penetration Testing against agentic frameworks and LLM integrations. Demonstrated ability to engineer or deploy AI Detection and Response (AIDR) workflows utilizing agentic and SIEM technologies, with a strong focus on AI-native ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

SageMaker in particular), or a demonstrated fast translation from an equivalent platform. Experience with seat-map or other inventory-constrained demand modelling. Exposure to LLM/GenAI tooling inside a production analytics workflow. Python About Us-Our values ATG Entertainment’s values set the tone for how we work ...

Engineering, Solutions Engineering, Forward Deployed Engineering or technical consulting backgrounds. You'll ideally bring strong experience across several of the following: AI/LLM solution architecture Agentic AI systems RAG and retrieval architectures Model APIs and orchestration frameworks Microsoft Copilot Studio Power Platform/Power Automate/Dataverse Azure ...

customers and our internal operations. You'll work on consumer features such as the Energy Co-Pilot and speedy onboarding (using VLM and LLM tools) and build AI tools that make teams across Fuse more productive. ResponsibilitiesDesign, develop and deploy AI-powered features that directly impact consumer experiences, including personalised ...

technical and non‐technical colleagues. Delivery experience with Microsoft copilot Studio is a must. Microsoft Foundry is good to have and/or other LLM technologies. Pay.UK Behaviours At Pay.UK, our behaviours are central to who we are and how we operate. They bring our values to life, shape ...

build Invoka's reputation in the market. Required Skills and Experience Production AI systems you have actually shipped. You have designed, built and deployed LLM-based systems that run in production with real users, uptime expectations and sensitive data. We will want to talk about who uses them, how often ...