12 of 12 Hugging Face Jobs in East London

Production Experience: Demonstrated success in shipping and maintaining ML models in production, including performance monitoring and optimization. Strong Programming: Proficiency in Python and ML libraries (e.g., PyTorch, scikit-learn, Hugging Face, etc.); familiarity with MLOps tooling and cloud environments (AWS/GCP/Azure). Analytical & Communication Skills: Ability to clearly explain complex ideas, trade-offs, and results More ❯

sharing and technical discussions Skills and experience required Proven experience delivering ML and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks and modern MLOps workflows Strong Python skills and familiarity with common data science tools and libraries More ❯

projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the ability to translate technical insights More ❯

s degree in AI and/or Computer Science; Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency with vector databases (Pinecone, FAISS, Weaviate) and document embedding pipelines; Proven More ❯

development Deep Python expertise and experience building production systems Strong knowledge of ML techniques, tooling (e.g. MLflow, W&B), and cloud deployment Experience with LLMs and frameworks like LangChain, Hugging Face, or LlamaIndex Bonus: hands-on work with RAG systems or agentic workflows If this of interest, please apply immediately More ❯

range of stakeholders Hands-on experience with LLMs, vector databases, RAG pipelines, prompt engineering, and model fine-tuning Familiarity with cloud platforms (especially Azure), and tools such as Databricks, Hugging Face, LangChain, and open-source GenAI frameworks Deep curiosity and a passion for staying ahead of AI and data science developments Commercial acumen and a focus on delivering 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 ❯

Ideal Profile 5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience More ❯

features to life. Requirements: NLP & ML Background : Strong experience in deep learning and natural language processing, with an emphasis on large language models. Tooling Fluency : Comfortable with libraries like Hugging Face, LangChain, or PyTorch, and evaluation frameworks. Production Readiness : Prior experience shipping AI models into live environments, with attention to reliability and observability. Research Mindset : Curious and methodical More ❯

take full responsibility for technical delivery Strong problem-solving skills and a “builder” mindset Comfortable working with autonomy, and using initiative Familiarity with tools like LangChain, OpenAI API, or Hugging Face Some benefits include: Bonus scheme Opportunity to be creative and shape the future of the business Pension contribution 25 Day AL + BH Discount rewards scheme Flexible More ❯

working, devops, version control, unit testing, CI/CD pipelines, model monitoring, and reproducibility. We use Python, SQL, Unix-based systems, git, and github for collaboration and review, including Hugging Face, Hydra, MLFlow, DVC, etc., for experiment tracking and monitoring. Experience working with the OMOP Common Data Model and working with Standard Medical Vocabularies, such as SNOMED, ICD10. More ❯

Languages: Go, Rust, Python, Solidity Infrastructure: Kubernetes, Docker, GPU Scheduling (e.g., Kubeflow, Slurm), CI/CD pipelines Blockchain: EVM, Cosmos SDK, ZK/L2 solutions AI Stack (plus): PyTorch, Hugging Face, Ray, ONNX What We Offer Competitive salary + equity/token package Flexible, remote-first work environment High-impact leadership role in a fast-scaling frontier tech More ❯