1 to 25 of 82 Remote Anthropic Claude Jobs in England

build products that utilise the bleeding-edge of generative AI. Products that are powered by the latest foundation LLM’s including OpenAI’s GPT-4o and o1 along with Anthropic’s Claude models. Our early bet on agentic architectures using these models has placed us at the forefront of THE most advanced technological advancements of our generation . … English. You have proven experience delivering large, complex software engineering systems. It would also be nice if you have: Prior experience with LLMs (OpenAI’s GPT-4o, o1, and Claude models from Anthropic) or agentic systems. Prior experience with data science/ML/NLP. Any Frontend experience. Proven expertise in building highly secure, fault-tolerant APIs. Experience More ❯

and optimisation. Experience with architecting and implementing large-scale, distributed systems that handle significant data processing. Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions. Knowledge of databases (SQL and NoSQL) and experience in designing data storage solutions that support More ❯

and performance. Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT. Hands-on experience with iPaaS technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and Databases. Knowledge of python programming More ❯

Software Engineer, Infrastructure (All Levels) London, UK About Anthropic Anthropic’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 growing group of committed researchers, engineers, policy experts, and business leaders working together to build … beneficial AI systems. About the role Anthropic is seeking talented and experienced Infrastructure Engineers to join our team and support the development, scaling, and maintenance of our cutting-edge AI systems. By joining our Infrastructure team, you will have the opportunity to work on groundbreaking AI technologies and contribute to the development of frontier models, supporting Anthropic's … us to match talented engineers with the infrastructure teams where they'll have the greatest impact and growth potential: Data Infrastructure: We build and maintain the data systems powering Anthropic's AI research and products. You'll design and optimize data pipelines using tools like Spark, Airflow, and dbt across GCP and AWS. Your work will ensure reliable, scalable More ❯

Hands-on exposure to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval-augmented , fine-tuning). Exposure to the likes of LangChain, OpenAI API, Anthropic Claude, Mistral, Groq, Cohere, vLLM or similar is desirable. Innovator : Passionate about experimentation and new techniques. You enjoy solving complex problems, building reusable ML components, and staying up More ❯

etc. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test prompt strategies to improve accuracy and responsiveness. Cross-Functional Collaboration: Partner with engineering, product, and QA teams More ❯

and hands-on development of LLM-based applications. • Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. • Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. • Experience with RFP/RFI support, and proposal creation in a consulting or enterprise services environment. More ❯

Proven leadership in agile environments, strong communication, mentoring abilities. LLM and RAG expertise: Building RAG architectures, integrating vector and graph databases. Transformer and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow More ❯

Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across various LLM backends. More ❯

on development with LLMs and autonomous AI agents • Strong experience with Python and orchestration libraries such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, or similar. • Deep knowledge of LLMs (GPT, Claude, LLaMA, Mistral, etc.), prompt engineering, agent memory, tool calling, and autonomous task execution. • Experience with pre-sales, RFP/RFI support, and proposal creation in a consulting or enterprise More ❯

features that thousands use daily Partner with external AI specialists on cutting-edge projects Transform research breakthroughs into scalable solutions Key Skills Required: LLM Experience : Production experience with GPT, Claude, LLaMA, including fine-tuning, prompt engineering, and deployment Python Proficiency : Strong skills with ML frameworks (TensorFlow, PyTorch) and LLM tools (Hugging Face, LangChain, OpenAI APIs) Vector Understanding : Solid knowledge More ❯

like Monday.com, Asana, or Trello for coordinating AI skilling initiatives. Required Technical Skills: AI and Automation Tools: Proficiency in AI-powered tools such as Microsoft Copilot, OpenAI (ChatGPT), Bard, Claude, and other generative AI technologies. Understanding of automation tools like Power Automate, Zapier, or AI-enhanced workflows. AI Fundamentals and Application: Strong knowledge of machine learning concepts, NLP (Natural More ❯

Software Engineer, Inference Scalability and Capability London, UK About Anthropic Anthropic'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 growing group of committed researchers, engineers, policy experts, and business leaders working together to … we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather … communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is More ❯

Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯

Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯

Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯

to leverage modern tools that can transform their workflows without requiring dedicated engineering resources. We're looking for someone with practical experience applying GenAI tools (like ChatGPT, Glean, Gemini, Claude) to real business problems, who can guide non-technical stakeholders through meaningful AI adoption. Your Experience Qualifications: 1-2 years of hands-on experience using GenAI tools in business … contexts Working knowledge of major LLMs (e.g., GPT, Claude, Gemini) and their practical differences, limitations, and ideal use cases Experience working with business teams to implement technology solutions Strong understanding of modern AI capabilities, particularly in business applications Demonstrated ability to simplify complex technical concepts for non-technical audiences Experience with workflow automation, data analysis tools, and AI platforms … liaison between business units and the IT department Advise departments on best-fit commercial AI models based on use case, highlighting strengths and weaknesses of tools like GPT-4, Claude, Glean, Gemini, etc. Support teams in prompt engineering and GenAI application design to automate tasks, reduce manual work, and improve productivity Champion the use of GenAI tools by sharing More ❯

to leverage modern tools that can transform their workflows without requiring dedicated engineering resources. We’re looking for someone with practical experience applying GenAI tools (like ChatGPT, Glean, Gemini, Claude) to real business problems, who can guide non-technical stakeholders through meaningful AI adoption. Your Experience Qualifications: 1–2 years of hands-on experience using GenAI tools in business … contexts Working knowledge of major LLMs (e.g., GPT, Claude, Gemini) and their practical differences, limitations, and ideal use cases Experience working with business teams to implement technology solutions Strong understanding of modern AI capabilities, particularly in business applications Demonstrated ability to simplify complex technical concepts for non-technical audiences Experience with workflow automation, data analysis tools, and AI platforms … liaison between business units and the IT department Advise departments on best-fit commercial AI models based on use case, highlighting strengths and weaknesses of tools like GPT-4, Claude, Glean, Gemini, etc. Support teams in prompt engineering and GenAI application design to automate tasks, reduce manual work, and improve productivity Champion the use of GenAI tools by sharing More ❯

pilots to demonstrate business value for AI use-cases Serve as a technical subject matter expert in Python development and prompt engineering, leveraging API offerings from OpenAI, Gemini, and Claude LLMs to deliver solutions Ensure the solutions align with company policies, security requirements, and design & coding guidelines Stay up to date with the latest advancements in AI/ML More ❯

practices, producing multiple wireframes and design options to support decision-making of the product owners. Experience working with APIs for Large Language Models (LLM)/GenAI technology like OpenAI, Claude, etc. Experience working on the Azure platform to cater the development lifecycle. Here at Simmons & Simmons: Simmons & Simmons is a place where dynamic minds thrive. Our culture is built More ❯

secure coding principles. Familiarity with frontend frameworks (React, Vue) and mobile technologies (Ionic, Swift, Android) a plus. Hands-on experience using or trialling AI coding tools (GitHub Copilot, Cursor, Claude Code etc.) a strong differentiator. Research shows that some people are less likely to apply for a role unless they are 100% qualified. Your experience, skills and passion will More ❯

/Turbo/Alpine or similar) Developer tooling and infrastructure to support continuous deployment and high availability Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: AI/LLM: OpenAI, Claude, LangChain (or equivalents) Own feature development end to end from design discussions to deployment Optimise application performance and system scalability as usage grows Help productionise AI features (prompt tuning More ❯

communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + 8 bank holidays Work-from-home flexibility Paid parental leave Bike storage and More ❯

communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + 8 bank holidays Work-from-home flexibility Paid parental leave Bike storage and More ❯

communication skills. Experience in agile environments and cross-functional collaboration. Tools & Technologies Some of the technologies used in the team include: Python, Java, AWS, Docker, Terraform, OpenSearch, MySQL, Bedrock, Claude, GitHub Actions, and Atlassian tools (Jira, Confluence). What’s on Offer 25 days holiday + 8 bank holidays Work-from-home flexibility Paid parental leave Bike storage and More ❯