1,951 to 1,975 of 3,961 LLM Jobs in the UK

Senior AI Software Engineer At-a-Glance - Senior backend role building the core of an AI operating system - Java, Go and Python across LLM integration, agent orchestration and retrieval infrastructure - AWS, Neo4j, distributed systems at real scale - Platform already live and in daily operational use with major customers - Share options … infrastructure properly rather than assemble it from tutorials. Key Responsibilities - Design and build core backend services underpinning the AI platform - Build and maintain LLM integration and agent orchestration layers - Develop retrieval infrastructure across graph and vector stores - Own performance, reliability and observability of the services you build - Deploy and operate ...

Support product discovery, MVP definition, and scaling of successful AI products. Translate business use cases into requirements suitable for AI and Large Language Model (LLM) based solutions. Evaluate business value and adoption opportunities for AI-enabled products. Prior experience with the common technologies found within enterprise energy commodities trading ...

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 ...

Manchester or Leeds. You’ll be working within a complex, enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU’LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within … Engineering data platforms to support AI/LLM and RAG solutions Building large-scale data ingestion, processing and enrichment capabilities Developing event-driven architectures using Kafka Building automation and data engineering solutions using Python and SQL Supporting enterprise search, indexing and data retrieval capabilities Ensuring data quality, governance, lineage ...

Manchester or Leeds. You'll be working within a complex, enterprise-scale environment, building the data pipelines and platforms that underpin AI/LLM and Retrieval-Augmented Generation (RAG) solutions. WHAT YOU'LL BE DOING Designing and building scalable ETL/ELT data pipelines Developing cloud-native data solutions within … Engineering data platforms to support AI/LLM and RAG solutions Building large-scale data ingestion, processing and enrichment capabilities Developing event-driven architectures using Kafka Building automation and data engineering solutions using Python and SQL Supporting enterprise search, indexing and data retrieval capabilities Ensuring data quality, governance, lineage ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

Visio, with the ability to develop compelling executive presentations. Preferred Qualifications, Capabilities, and Skills Hands-on experience with AI and large language model (LLM) tools, ideally on low-code or approved development platforms, with an instinct for identifying design risks early. Experience with automation platforms such as Python, UiPath, Pega ...

agents. Playbooks for AI-originated attack scenarios. What You'll Work On Testing AI applications and agents . GenAI applications, agentic systems, and LLM-backed products require testing that goes beyond standard web app methodology. Prompt injection, indirect injection, retrieval poisoning, tool misuse, sensitive data extraction, unsafe delegation, these … with common security testing tools: Burp Suite, nuclei, nmap, or similar Working knowledge of OWASP Top 10 and at least some exposure to OWASP LLM Top 10 or MITRE ATLAS Ability to triage findings and communicate risk clearly to technical and non-technical audience AI Literacy Hands-on experience using ...

Behavioral analytics for AI agents. Playbooks for AI-originated attack scenarios.What You'll Work OnTesting AI applications and agents. GenAI applications, agentic systems, and LLM-backed products require testing that goes beyond standard web app methodology. Prompt injection, indirect injection, retrieval poisoning, tool misuse, sensitive data extraction, unsafe delegation, these … operatorFamiliarity with common security testing tools: Burp Suite, nuclei, nmap, or similarWorking knowledge of OWASP Top 10 and at least some exposure to OWASP LLM Top 10 or MITRE ATLASAbility to triage findings and communicate risk clearly to technical and non-technical audienceAI LiteracyHands-on experience using LLM tools ...

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly ...

providing technical support for enterprise AI products, with strong diagnostic and troubleshooting skills across APIs, logs, and browser-level tooling. Familiarity with AI and LLM-based products — you understand concepts such as retrieval-augmented generation, prompt behaviour, and agentic workflows well enough to triage issues and communicate clearly with both ...

decisions. Prototype quickly, but harden the right workflows into maintainable product features. Required Skills and Experience Prior hands‐on experience building agents, agentic workflows, LLM applications, or AI workflow products. Strong Python fluency for application development, workflow orchestration, AI integration, testing, and data processing. Experience with LLM or VLM application … product judgement: able to turn ambiguous operational needs into useful workflows that real users can trust. Highly Beneficial Skills Experience shipping agents or LLM applications in production environments. Experience with vision‐language models or multimodal AI over images, video, inspection evidence, diagrams, screenshots, or technical records. Experience with RAG over ...

record providing technical support for enterprise AI products, with strong diagnostic and troubleshooting skills across APIs, logs, and browser-level tooling.Familiarity with AI and LLM-based products — you understand concepts such as retrieval-augmented generation, prompt behaviour, and agentic workflows well enough to triage issues and communicate clearly with both ...

convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous. #J-18808-Ljbffr ...

with AI-assisted coding tools and ability to validate and understand AI-generated code; Nice to have: hands-on cloud deployment experience, experience with LLM APIs, agentic workflows, retrieval, vector databases, LangChain, LangGraph, or AutoGen. Условия Competitive compensation and benefits; Business connectivity reimbursement for phone and internet; Gym membership ...

vendor availability. Event-driven consistency. Services coordinating over Pub/Sub — sagas across offer → contract → tenancy → payment with no distributed transaction to lean on. LLM tool calling, deterministic API calls, and other intra- and inter-service communications all running across the same coordination system. AI harnesses in production. Deploying agentic … into real-world operational settings — acting on real money, tenancies and legal exposure, with the guardrails, observability and correctness that demands. Non-deterministic LLM working within compliant, secure deterministic software. Our stack We build on NestJS + TypeScript on GCP/GKE , with MongoDB , Redis and GCP Pub/ ...

About you 3+ years developing production software, including designing, testing, and operating services at scale in a cloud environment. Hands‐on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns). Familiarity with prompt design, retrieval‐augmented systems, evaluation methods, and safety/… paced environment where experiments and iteration are the norm. Our stack (AI-leaning) TypeScript/Node.js and Python for AI and backend services. Modern LLM APIs and orchestration libraries for building agentic workflows. Postgres and other managed cloud services for data and state. How we work & values Speed over everything ...

where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role … Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross‐functional teams to design, develop, and deploy cutting‐edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You’ll Do Location: any cities with ...

will: Design, develop, test and maintain software across the platform. Build high-quality product features across the application stack. Work with AI and large language model technologies where they create meaningful product value. Contribute to data ingestion, scheduled processing and workflow orchestration. Build and maintain APIs and third-party integrations. … task execution: queues, scheduled jobs, pipelines, state machines or systems where work needs to be reliable, scalable and fault tolerant. AI and large language model integrations: prompt design, structured outputs, model evaluation, token and cost management, observability or production AI systems. Python and TypeScript in production environments. Frameworks such ...

native architectures.Strong knowledge of Infrastructure as Code and platform automation.Experience leading adoption of AI engineering tooling and AI-native software delivery approaches.Good understanding of LLM platforms, agents, evaluation frameworks and AI governance practices.Experience with observability, DevOps, CI/CD and engineering productivity platforms.Experience managing multi-region, multi-tenant and large ...

established platforms and internal toolingClear communication, particularly across engineering disciplines Nice to Have Experience working alongside machine learning or data engineering teams Exposure to LLM-based systems, RAG, or agent architectures Experience with AWS, and with Bedrock or a comparable model platform Interest in AI-assisted development workflows Locations & Working ...

Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £650 - £750 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Large Language Models (LLM's), AI Agents, Automation, Innovation Management, Emerging Technology Evaluation, Rapid Prototyping, Proof of Concept (PoC) Delivery, Digital Transformation, Product Innovation, Process Optimisation, Technology Adoption, Commercial ...

capital markets data analysisStrong analytical and problem-solving skills, including hands-on experience with large datasets, financial statements, public filings, and AI/LLM tools for insight generationDemonstrated experience in building data models (SQL, Python, Alteryx) and visualizations (Tableau, Qlik)Exceptional ability to translate complex analyses into clear, executive-level … with exposure to capital markets, corporate banking, or payments.Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM)Bachelor’s degree in computer science, Statistics, Engineering or related fieldsPreferred Qualifications, Capabilities, and SkillsExperience in financial services with exposure to capital markets, corporate banking ...

capital markets data analysis Strong analytical and problem-solving skills, including hands-on experience with large datasets, financial statements, public filings, and AI/LLM tools for insight generation Demonstrated experience in building data models (SQL, Python, Alteryx) and visualizations (Tableau, Qlik) Exceptional ability to translate complex analyses into clear … exposure to capital markets, corporate banking, or payments. Proficient understanding and application of fundamental AI and ML techniques (e.g., NLP, time series, supervised learning, LLM) Bachelor's degree in computer science, Statistics, Engineering or related fields Preferred Qualifications, Capabilities, and Skills Experience in financial services with exposure to capital markets ...

workflows, while Atlas, its proprietary platform, keeps customers in control, secure by design, and independent of any single model. Задачи Design and deploy advanced LLM models to automate complex manual processes across real-world industry verticals Build scalable data pipelines and optimize models for performance and accuracy Prepare models ...