OverviewHugging Face AI Engineer, Leeds, Hybrid - No sponsorship available.Our client is on the hunt for a talented AI Engineer to bring cutting-edge machine learning and NLP solutions to life in the UK healthcare sector. This role is hands-on and dynamic — perfect for someone who enjoys building AI systems that are production-ready, scalable, and ethical.What You’ll Work OnCraft machine learning and NLP models that solve real-world healthcare challenges.Build end-to-end pipelines, from raw data handling to model deployment.Connect AI models to backend systems and user interfaces for seamless operation.Monitor and evaluate models, tackling bias and improving explainability.Deploy AI solutions using cloud services (AWS, GCP, Azure) and Python.Optimise performance, reduce latency, and implement best-practice CI/CD workflows.Document processes, architectures, and results for regulatory and internal review.Experience in AI, ML, or Data Science roles with hands-on model development.Strong Python skills and familiarity with libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face.Knowledge of NLP, generative AI, or predictive analytics workflows.Exposure to MLOps tools such as MLflow, DVC, Docker, Kubernetes, Terraform, and GitHub Actions.Experience deploying models to cloud environments (AWS preferred: Lambda, SageMaker, ECS, S3, RDS).Understanding of ethical AI, model transparency, bias mitigation, and data privacy.Analytical mindset with excellent communication skills.If you’re passionate about creating ethical, high-impact AI and want your work to make a real difference in healthcare, please apply.RequirementsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Staffing and Recruiting #J-18808-Ljbffr