526 to 550 of 2,386 LLM Jobs in England

goals, then translate them into practical process improvements and AI-enabled solutions.* Identify, prioritize, and document legal AI use cases* Create, configure, and refine LLM-based workflows, AI agents, prompts, evaluation criteria, and human-in-the-loop review steps tailored to legal work.* Work hands-on with large language models ...

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 ...

pipeline outputs Agentic AI & AI-Assisted Development Leverage Snowflake Cortex/Databricks Genie (or similar) to help engineering teams deliver natural language query and LLM-augmented data products Utilize GitHub Copilot (or similar) to accelerate modelling, documentation, and pipeline development Design and define a set of agentic skills that ...

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 Engagement Act as a trusted product advisor to client ...

cycles that come with them. Experience improving experimentation practice at team or organisational level through frameworks, tooling or enablement. Experience applying AI or Large Language Model capabilities to improve analytical throughput and experimentation quality. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in‐house ...

cross-functional collaboration.You’ll work as part of a multidisciplinary team exploring advanced AI techniques such as geo foundation models, agentic systems, and LLM orchestration. Your goal: deliver high-impact prototypes that evolve into scalable, production-ready solutions, embedding AI in real-world contexts to reduce adoption friction and build ...

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 ...

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 ...

GenAI engineer to design and implement scalable AI applications in the UK. You will leverage Python and state-of-the-art frameworks to deploy LLM-powered solutions, handle large-scale data architectures, and integrate multi-modal models into production-grade systems. You will work across data modernization, RAG architectures ...

transport simulation or infrastructure optimisation. Hands-on exposure to reinforcement learning, optimisation, probabilistic methods, simulation or other advanced ML techniques. Experience with GenAI or LLM-based products applied to engineering, planning, simulation or design workflows. Familiarity with GIS, BIM, transport models, network data or geospatial analysis. Experience working with stochastic ...

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 ...

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 ...

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 ...

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 ...

experience Proactive and resourceful with an entrepreneurial spirit, excited by the opportunity to help scale Palladium's AI capability Technical knowledge of AI platforms, LLM tooling, RAG architectures, or orchestration frameworks, even if not at an engineering depth Familiarity with the Private Equity landscape, portfolio company dynamics, or PE-backed ...

rigorous evaluation. Have practical, hands-on experience with LLMs, whether through tools such as Codex or through building AI applications. Deep experience deploying LLM systems is valuable, but strong quant expertise and the ability to learn quickly are the priorities. Can point to substantial personal contributions in code, architecture, evaluation ...

data Writing clean, maintainable and well-tested code Working with cloud platforms, CI/CD and modern development practices Integrating AI capabilities such as LLM APIs, RAG and agent-based solutions Using AI coding tools throughout the development lifecycle Working directly with clients and within enterprise environments Contributing to technical ...

time is when you expect to find the next step change. Judgement. You critically evaluate model output – yours, a colleague’s, or an LLM’s – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others’ when the evidence points elsewhere. You’ve influenced ...