Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯
Cambridge, England, United Kingdom Hybrid/Remote Options
IC Resources
Computer Science, Machine Learning or related discipline 3+ years’ experience developing ML models, with a strong focus on medical imaging Proven track record using deep learning frameworks (PyTorch/TensorFlow) Solid Python skills and familiarity with cloud or MLOps tools (Docker, Kubernetes, MLFlow) Understanding of data pipelines and image analysis techniques (segmentation, registration, feature extraction) Benefits Share options and More ❯
active role in open source communities. Excellent programming abilities with experience in relevant languages (Python, Rust, C++ and/or Go). Experience with relevant libraries/tools (PyTorch, Tensorflow, Neo4j) and/or AI accelerators (GPU, TPU) is a plus. Deep understanding of open source development processes (RFCs/proposals, GitHub pull requests) with demonstrable contributions to open More ❯
AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type … specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for More ❯
Royston, Hertfordshire, South East, United Kingdom Hybrid/Remote Options
Maplesoft
with medical device software certification (CE marking) Practical experience in medical image processing Experience developing and deploying machine learningbased image recognition models Familiarity with frameworks such as PyTorch or TensorFlow Experience working in a bilingual (English/Japanese) development environment Location: This position is based in the United Kingdom (Remote or hybrid work available) Short-term business trips to More ❯
R&D Engineer - Camera Algorithm/Computer Vision | Cambridge | Telecommunications In this role, you will develop, optimize, and deploy advanced imaging algorithms for camera systems, contributing to high-performance, real-world applications. You will collaborate with cross-functional teams, including More ❯
We’re Looking For Ph.D. or Master’s degree in Computer Science, Machine Learning, Information or Biomedical Engineering (or similar). Strong experience with deep learning frameworks (PyTorch/TensorFlow) and Python development. Proven background in on-device ML (TinyML) using frameworks such as TensorFlow Lite, ExecuTorch, or TVM. Solid understanding of model optimisation for constrained hardware environments. More ❯