51 to 75 of 94 Hugging Face Jobs in the UK

understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS). Experience in designing and scaling GenAI chatbots. Experience in Agentic AI solutions. Good ...

experience with strong fundamentals in data structures, algorithms, and system designProduction Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)Experience with cloud platforms (AWS, GCP, or Azure) and modern data infrastructureStrong problem-solving skills with the ability to navigate ambiguous requirements ...

LLMs, multimodal AI, self-supervised learning, reinforcement learning, time-series analytics or foundation models. Experience with AI frameworks and libraries: PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers; OpenCV for vision applications. Strong understanding of experimental design, statistical evaluation, benchmarking and model validation. Experiment tracking and reproducibility tools ...

implementing machine learning solutions, including model training, deployment, and inference at scale, with working knowledge of AI/ML frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn. You have a background in a customer-facing technical role (solutions architect, ML engineer, data scientist, or technical consultant ...

concept and customer workshops. QualificationsRequired SkillsStrong Python development skills with experience using AI/ML frameworks such as PyTorch, TensorFlow, Scikit-Learn and Hugging Face. Proven experience developing and deploying machine learning solutions, including deep learning, computer vision, NLP/LLMs or time-series analytics. Experience working with autonomy ...

CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning or NLP frameworks, such as PyTorch or Hugging Face Good understanding of software engineering principles, design patterns, and ML lifecycle practices, including MLOps or LLMOps Experience contributing to the delivery ...

strategic AI solutions. Software/Data Engineering: Python proficiency, API design, SQL, data integration, and ML/AI libraries (PyTorch, TensorFlow, scikit-learn, XGBoost, Hugging Face Transformers).Agentic AI Systems: Hands-on experience with agentic AI setups including LLM orchestration, tool use/function calling, RAG, agents, prompt ...

/tool-use development, and evaluation frameworks. Strong programming proficiency in Python, with experience in AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face, or equivalent orchestration tools); proficiency in an additional language (TypeScript, Java) is a plus. AI‐Assisted Software Development – Demonstrated proficiency leveraging ...

model deployment using MLOps frameworksStrong programming skills in Python and SQL with experience in frameworks such as PyTorch, TensorFlow and Hugging FaceExperience using data platforms and big data frameworks like Databricks and SparkExcellent communication skills for engaging C-level stakeholders and aligning technical outcomes with business valueNice to haveExperience ...

expertise. Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks ...

software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying ...

familiarity with R is advantageousPractical experience in building statistical models or predictive algorithmsHands-on exposure to contemporary AI concepts and GenAI frameworks (e.g., LangChain, Hugging Face) and cloud-native AI services (AWS, Azure or GCP)Knowledge of MLOps practices and tools like Databricks or MLflowAbility to tackle ambiguous ...

models into production SaaS platforms. Strong knowledge of machine learning fundamentals and hands-on experience with NLP libraries/frameworks (e.g. spaCy, Hugging Face Transformers, PyTorch, TensorFlow).Demonstrated experience deploying and scaling large language model applications in production (e.g. fine-tuning, retrieval-augmented generation, evaluation, monitoring).Solid programming ...

Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need every technology ...

what 'good' means for a model, build the test set and measure it. Strong grounding in the ML stack, such as PyTorch, scikit-learn, Hugging Face and vector databases, alongside sound software engineering practice. Experience deploying and monitoring models on cloud infrastructure, ideally AWS, with Git, CI/ ...

Ability to move quickly while maintaining code quality, test coverage, and operational excellence. Preferred: Familiarity with AI/ML tools such as LangGraph, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents and systems built around them. Exposure to working ...

team practice, such as evaluation standards, release processes, shared tooling or ways of working. Strong Python, with deep working knowledge of PyTorch and the Hugging Face ecosystem. Experience with automatic or model-assisted labelling of visual data, and with dataset quality control. A solid grasp of MLOps: experiment ...

research all the way to deployment and maintenance Excellent Python programming skills and hands on experience with libraries such as XGBoost, PyTorch, TensorFlow, or Hugging Face Experience working with cloud-based data and AI platforms, particularly Azure and Databricks Strong stakeholder engagement and storytelling capabilities; able to translate ...

/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP). Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements ...

/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability to translate multi-layered business problems into technical solutions with experience working directly with business stakeholders to understand requirements and deliver ...

vector, hybrid)Evaluation methodologies for IR and generative AI systemsAdvanced programming skills in PythonExperience with modern AI/ML frameworks and tooling (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design, evaluation frameworks, and statistical ...

experience as a Senior/Principal Data Scientist with ability to guide and coach the teamExcellent Python coding practice, including ML libraries such as HuggingFace, TensorFlow and PyTorchExperience building robust ML pipelines with MLOps tools for model training, monitoring and deploymentExperience with version control and environment management (e.g. venvs, Docker ...

Deep Neural Networks, Transformers, ResNets, VAEs, GANs, Markov chains, etc. Experience using specialized machine learning libraries eg. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud ...

Experience designing evaluation frameworks for AI-generated or retrieval-based outputs. Data & EngineeringFamiliarity with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, and Hugging Face. Experience with cloud platforms and modern development workflows, including Git and CI/CD.Understanding of MLOps practices, including experiment tracking, deployment, monitoring ...

production SaaS - Production LLM experience: RAG, fine-tuning, evaluation, monitoring - Strong Python, including building APIs and integrating models into applications - NLP frameworks such as Hugging Face Transformers, PyTorch, spaCy or TensorFlow - AWS and distributed systems - Data pipelines and orchestration for model training and evaluation Nice to have - Legal ...