augmented generation (RAG) systems using LangChain and vector databases like FAISS, Weaviate, or Pinecone. Package and deploy solutions via Docker, Kubernetes, or Vertex AI/SageMaker. Collaborate with internal MLOps and Data Science teams to ensure robustness, monitoring, and CI/CD alignment. Communicate progress clearly with stakeholders and deliver production-ready solutions independently. Ideal Experience 5+ years in applied More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
IC Resources
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 private healthcare Flexible hybrid working 28 days’ holiday + bank More ❯
cambridge, east anglia, united kingdom Hybrid / WFH Options
IC Resources
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 private healthcare Flexible hybrid working 28 days’ holiday + bank More ❯
Cambridge, Cambridgeshire, England, United Kingdom
Ascent Sourcing Ltd
in real-world applications. Solid understanding of advanced prompt engineering techniques. Good knowledge and practical experience with FastAPI and RESTful APIs. Solid knowledge of PostgreSQL. Experience with DevOps/MLOps, including deploying and monitoring ML pipelines. Good understanding of audio protocols (e.g., WebRTC, SIP, RTP). Preferred (Bonus) Skills: Production experience with Agno or Phidata. Familiarity with Microsoft Autogen or … Contributing to backend and front-end components for real-time, interactive applications. Collaborating closely with product and infrastructure teams to ship impactful features. Driving clean and reliable deployments with MLOps best practices. More ❯
