3 of 3 Permanent Deep Learning Jobs in Oxfordshire

Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning … composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities ...

redefining how lung cancer and lung diseases are diagnosed and treated, using cutting-edge AI. This is an excellent opportunity for a Machine Learning Engineer eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role … standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ experience in computer vision, machine learning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying ...

applied machine learning. Hands-on experience with LLMs, RAG, semantic search, or agentic AI systems. Strong Python programming skills. Experience with ML fundamentals, deep learning concepts, embeddings, transformers, and LLM architectures. Experience using LangChain, LangGraph, LlamaIndex, AutoGen, MCP, or similar AI frameworks. Experience with vector databases such … analytics, or telecom network operations. Experience deploying AI services using Kubernetes, Docker, APIs, and cloud-native environments. Required Technical Skills Python. ML basics and deep learning. LLMs and transformers. LangChain, LangGraph, MCP, or similar frameworks. Vector databases and semantic search. Graph APIs and knowledge graphs. Data pipelines and data ...