4 of 4 Remote Hugging Face Jobs in Northamptonshire

microservices. The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain. Your core responsibilities include: Serve as the day-to-day liaison between Data … helping them understand AI-specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift … in production Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (e.g., NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI More ❯

skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high-risk, and a high reward environment Desirable skills Experience More ❯

s the kind of role where your code ships and your input shapes the roadmap. 🚀 Expect work across: GenAI + LLM tooling (vLLM, LangChain, HuggingFace) RAG systems, embeddings, reranking NLP tasks like summarisation, classification, sentiment Scalable deployment in AWS (with support from DevOps) Cross-team collaboration and mentoring Why join More ❯

continuous deployments, testing, and operational excellence. Very strong knowledge of Python. Strong English proficiency. Desirable Qualifications Knowledge of any machine learning framework (e.g. Torch, huggingface, ...) and/or data analysis platform (e.g. Pandas). Past experience with open source projects. Past experience in community engagement projects. Familiarity with Scrum More ❯