4 of 4 PyTorch Jobs in Leicestershire

Machine Learning Engineer

Hiring Organisation
iConsultera
Location
Leicester, UK
Employment Type
Full-time
Technical Skills 3+ years of experience in Machine Learning, Data Science, or related roles. Strong programming skills in Python. Experience with ML frameworks: TensorFlow, PyTorch, scikit-learn, XGBoost. Solid understanding of ML algorithms, statistics, and evaluation metrics. Experience deploying ML models into production environments. Data & Engineering Skills Strong SQL skills ...

Senior Data Scientist SME & AI Architect

Hiring Organisation
Information Tech Consultants
Location
Leicester, UK
Employment Type
Full-time
solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

Machine Learning Engineer

Hiring Organisation
Brio Digital
Location
Leicester, UK
Employment Type
Full-time
applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI. Experience with vector databases and retrieval-based architectures. Proven experience designing and operating large-scale ML systems in production. Strong ...

Data Scientist

Hiring Organisation
trg.recruitment
Location
Leicester, UK
Employment Type
Full-time
regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands ...