76 to 97 of 97 Hugging Face Jobs in England

AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent systems. Comfortable balancing strategic thinking with hands-on coding. The client is accepting candidates without More ❯

requirements What You’ll Bring: Hands-on experience building and deploying NLP/LLM solutions, including summarisation, entity extraction, and topic modelling Strong Python skills with libraries such as HuggingFace Transformers, spaCy, PyTorch/TensorFlow, or RAG frameworks Experience with knowledge graphs, GNNs, or graph-enabled retrieval Proven ability to optimise ML systems for air-gapped, low-compute, or edge More ❯

web applications, with proficiency in JavaScript. Practical experience integrating third-party APIs, ideally including AI/LLM services. Desirable Experience: Exposure to AI/ML frameworks such as Python, Hugging Face, or Azure AI. Experience in modernizing or migrating legacy technology stacks. Familiarity with assessment platforms, ed-tech, or regulated software environments. Experience with test-driven or behaviour More ❯

real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/ More ❯

in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangGraph, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into the domain, understanding the problem More ❯

organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯

organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯

environments (especially Azure), and containerization (Docker). Solid understanding of version control, CI/CD, and web hosting environments. Nice to Have: Hands-on experience with ML frameworks (e.g., Hugging Face). Exposure to graph databases (e.g., Neo4j) Background in developing data-heavy or AI-enhanced applications. Why You'll Love This Role: Collaborative Culture: The company fully More ❯

methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO Master or More ❯

methodologies like RAG and agent systems, keeping up to date with latest tech, papers, and understanding the theory behind advanced models. Expertise in frameworks such as PyTorch, TensorFlow, and Hugging Face. Strong understanding of the underlying mechanics of NLMs (transformers, RNNs, or LSTMs) and MLMs (e.g. BERT, RoBERTa, ALBERT). Proven experience with reinforcement learning and PPO Master or More ❯

using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on More ❯

and user feedback Ensure regulatory alignment (GDPR, AI governance) What We’re Looking For: Proven product leadership in AI/ML environments Experience with LLMs, GenAI APIs (OpenAI, Claude, Hugging Face, etc.) Client-facing and highly communicative—ideally with startup exposure Strong understanding of UX, prompt tuning, and AI lifecycle London-based or able to travel to Shoreditch More ❯

documented code and participate in code reviews. Requirements: BSc or MSc in an Engineering discipline. Demonstrated experience with the ML research and development lifecycle. Hands-on experience with PyTorch, Hugging Face libraries. Solid understanding of algorithms, data structures, and software design principles. Growth mindset and curiosity for biology - we'll teach you the rest Collaborative team player with More ❯

deploying AI/LLM agents into real-world product/dev organizations Strong understanding of LangChain, OpenRouter, RAG pipelines, OpenWebUI Experience from AI-native companies like Replit, Notion, OpenAI, HuggingFace, Retool Capable of owning AI adoption strategy and executing hands-on #J-18808-Ljbffr More ❯

aggregation, efficient (pre-)processing, etc. Experience with time-series data, including storage and management. A strong understanding through the usage of machine learning frameworks (TenserFlow, PyTorch, sci-kit-learn, Huggingface). Ability to work with analytical teams to build dashboards that prove the value of the machine learning capabilities as we deliver models to our production environments. Desirable: Experience working More ❯

3+ years of experience in research engineering, applied ML, or related fields. Strong programming skills in Python and JavaScript/TypeScript. Experience working with or fine-tuning LLMs (OpenAI, Hugging Face, etc.). A solid understanding of modern frontend technologies (React, Tailwind, etc.). Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide More ❯

leading DevOps tool processing over 3 million jobs daily, we have unique insights into effective engineering practices and the tools to leverage AI for software development. Companies like Hinge, HuggingFace, and Samsung rely on us to enhance productivity, improve products, and accelerate time to market. Founded in 2011 and headquartered in San Francisco with a remote workforce, CircleCI is venture More ❯

an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date - TBC Expected interview date/s - TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯

an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date - TBC Expected interview date/s - TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯

an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams via upskilling, mentoring and conflict resolution. Experience designing CI … assessing your experience and behaviours that are relevant to this role. Expected sift date - TBC Expected interview date/s - TBC Interview location -Your interview will either be conducted face to face or by video. You will be notified of the location if you are selected for interview. Near miss offers may be made at a lower grade More ❯

support that growth. • Experience shipping real products to customers • ML Design and Deployment: Familiarity with designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT, HuggingFace Transformers, or commercial APIs. • Containerisation: Experience with cloud deployments and containerisation (Docker, Kubernetes, containerd). • Linux: Embedded Linux and kernel development. • Programming Languages: We adopt a flexible tooling approach, but … at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid More ❯

Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In Return: Our team offers an inclusive and highly collaborative environment, with work that spans a wide variety of products and … at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid More ❯