401 to 425 of 738 LLM Jobs in England

Key Responsibilities · Design, develop, and deploy LangGraph-based agentic systems that orchestrate LLM-driven tools and workflows. · Build and integrate modular AI agents capable of real-world task execution in cloud-native environments. · Utilize AWS services such as Lambda, Step Functions, Bedrock, S3, ECS/Fargate, DynamoDB, and API Gateway to support scalable, serverless infrastructure. · Write production-grade Python code … Code (IaC) practices using tools like CDK or Terraform. Minimum Requirements · 5+ years of experience as a Software Engineer, with at least 2 years in AI/ML or LLM-centric development. · Proven track record with LangGraph, LangChain, or similar orchestration frameworks. · Expert in Python (asyncio, FastAPI preferred). · Hands-on experience building and deploying applications on AWS, particularly using … Lambda, Fargate, S3, Step Functions, and DynamoDB. · Familiarity with AWS Bedrock is a plus. · Strong understanding of agentic patterns, prompt chaining, tool calling, and memory/state management in LLM applications. · Solid experience with unit and integration testing, CI/CD, and GitOps practices. Preferred Qualifications · Experience designing and scaling multi-agent systems or tool-augmented LLM workflows. · Familiarity with More ❯

ML Senior Data Associate - Fluent in German Language, Artificial General Intelligence Job ID: Evi Technologies Limited Note: This is a position for a fixed-term contract. AI is the most transformational technology of our time, capable of tackling some of More ❯

on our moonshot mission. Who You Are: You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture. You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch. You understand intelligent information More ❯

the overall program plan for GenAI development and deployment, including requirements gathering, risk assessment, and resource allocation Work closely with researchers, engineers, and other stakeholders to define and prioritize LLM features and capabilities across various workstreams (infra, data, model, eval, deployment). Track and manage the progress of LLM development and deployment, identifying and mitigating risks, and ensuring that projects … to keep them informed of the program's progress and to obtain their buy-in on key decisions. Facilitate collaboration and coordination between the different teams involved in the LLM development and deployment process. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we More ❯

while optimizing models for high-performance deployment on AWS's custom AI accelerators. This role offers an opportunity to innovate at the forefront of AI, tackling end-to-end LLM training pipelines at massive scale and delivering next-generation AI solutions for top AWS clients. As an Amazonian leader you will demonstrate the Amazon Leadership Principles, coaching and mentoring others … job responsibilities • Large-Scale Training Pipelines: Design and implement distributed training pipelines for LLMs using tools such as Fully Sharded Data Parallel (FSDP) and DeepSpeed, ensuring scalability and efficiency • LLM Customization & Fine-Tuning: Adapt LLMs for new languages, domains, and vision applications through continued pre-training, fine-tuning, and Reinforcement Learning with Human Feedback (RLHF) • Model Optimization on AWS Silicon More ❯

including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field. You will have a deep expertise in LLM architectures, a strong grasp of pre-training optimization with a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking … Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience contributing to large-scale LLM training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance. Familiarity and practical experience with large-scale, distributed training frameworks More ❯

for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines … behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs to connect AI agents to internal and third-party … Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management More ❯

for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines … behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs to connect AI agents to internal and third-party … Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management More ❯

zero-trust networking, and malicious output protection. State consistency and fault tolerance - navigating trade-offs between performance, reliability, and consistency (e.g., causal consistency, network partitioning). Failure modes in LLM-based architectures - understanding injection attacks (e.g., prompt injection), and building intelligent defences at the orchestration layer. Scalability bottlenecks - architecting systems that handle massive data flows and compute workloads while maintaining … scale, distributed AI systems with a focus on agent coordination , resilience , and security . Design scalable orchestration mechanisms that balance performance with robustness. Develop and implement defence mechanisms against LLM-related attack vectors , including output injection and system compromise attempts. Own core decision-making around consistency models , network reliability , and failure recovery . Collaborate with cross-functional teams to align … of distributed systems engineering , including consensus algorithms, conflict resolution, and partition tolerance. Proven experience with secure agent-based systems, zero-trust architecture , and dynamic authentication. In-depth understanding of LLM failure modes, particularly around prompt injection and adversarial behaviours. Strong programming ability in languages such as Python , Go , or Rust . Prior ownership of complex AI engineering programmes with real More ❯

seeking highly skilled Consultants and Senior Consultants to join frog Data. Our ideal candidate will have knowledge and previous experience in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in customer behaviour analytics, marketing, commercial, web, or product analytics, and possess domain knowledge in marketing, customer, digital, and commercial … sectors. Additionally, the candidate should have strong project management and people management skills. What We Look For Previousexperience in data science, with proven experience in Generative AI and LLM development and evaluation. Hands-on experience in customer behaviour analytics, marketing, commercial, web, or product analytics with core focus in customer experience (if available) Build and evaluate Generative AI solutions and More ❯

Applied Scientist II, Selection Monitoring Selection Monitoring team is responsible for making the biggest catalog on the planet even bigger. In order to drive expansion of the Amazon catalog, we use machine learning and cluster-computing technologies to process billions More ❯

impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows. THE ROLE: This client are hiring an AI Engineer to: Prototype and build GenAI tools for LLM-driven document reasoning Develop microservices and APIs (FastAPI, Kubernetes) with solid More ❯

impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows. THE ROLE: This client are hiring an AI Engineer to: Prototype and build GenAI tools for LLM-driven document reasoning Develop microservices and APIs (FastAPI, Kubernetes) with solid More ❯

impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows. THE ROLE: This client are hiring an AI Engineer to: Prototype and build GenAI tools for LLM-driven document reasoning Develop microservices and APIs (FastAPI, Kubernetes) with solid More ❯

Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking More ❯

computer vision, and AI applications for RF, electronic warfare, sonar, and acoustics. About the Role The Team Lead will guide a group of researchers and engineers working in NLP, LLM applications, text mining, knowledge graphs, and graph-based machine learning. The ideal candidate will be a skilled technical leader with a clear vision for applying machine learning to real-world … with graph ML toolkits (e.g., PyTorch-Geometric, PyKeen) and knowledge graph platforms (e.g., Neo4j). Proficiency in query languages such as SQL or Cypher. Understanding of semantic technologies or LLM-based reasoning systems. Reference: AMC/RHU/RSB #ryhu More ❯

Who are we? Our mission is to scale intelligence to serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. More ❯

The Labs Tax & Corporates team is seeking an exceptional Director to lead our applied research and discovery work in the Corporates Tax & Trade product segment. The ONESOURCE suite provides a comprehensive set of direct tax, indirect tax and trade management More ❯

Social network you want to login/join with: At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Cadence is a pivotal leader in electronic design, building upon more More ❯

Driving Infrastructure for the Future of AI Acceleration. We're building cutting-edge AI accelerator solutions, spanning hardware and software, and we're looking for a Software Engineer Build System to help us scale fast, build smart, and stay ahead More ❯

Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting More ❯

LILT in the News List in The Software Report's Top 100 Software Companies! LILT makes it onto the Inc. 5000 List . AI Day Spring 2025 Webinar "Revolutionizing Content with AI Agents." LILT's co-founder John Denero, and More ❯

Employer description: Matillion is a fast-growing, cloud-native data integration and transformation company, enabling businesses to build and scale data pipelines across platforms like Snowflake, BigQuery, Redshift, Databricks, and Synapse. With global offices we support leading brands like Cisco More ❯

At Sense Street, we are developing natural language understanding systems for capital markets. Our premise is simple: markets are conversations, and we aim to help investment banks and asset managers have better, more efficient conversations. Through our partnerships with global More ❯

not required to be successful A bachelor's or masters degree in Computer Science Experience with Palantir Foundry and/or AIP Experience delivering production ML and/or LLM-based solutions Experience delivering production frontend applications in React Experience with Spark and distributed compute. Company Description Northslope builds custom products for ambitious organizations that are reinventing their industries - from … We build our products on the Palantir Foundry & AIP platform, the world's first Enterprise Operating system. We focus on enterprise-wide data integration, practical deployment of ML and LLM solutions, and deep understanding of operator's pain points. We build ironman suits for operators, so they can better achieve their mission and deliver more value to the bottom line. More ❯