26 to 29 of 29 Machine Learning Jobs in the Thames Valley

company—wants to hear from you. Our client’s mission is to help subscription businesses drive customer growth and predict revenue more accurately using machine learning and AI. Their platform empowers businesses to improve customer loyalty and unlock greater revenue from existing customers. Recently listed in Sifted … health insurance – quality care when you need it most Monthly wellness allowance – use it on gym memberships, yoga, mental health, healthy food & more Annual learning & development budget – invest in your growth ·Hybrid working – 3 days in the office, 2 days where it suits you Top-tier equipment – everything ...

patients having to do, wear or charge anything. The product incorporates state of the art sensor technology, with sophisticated signal processing and AI/machine learning algorithms, collecting continuous, objective and accurate physiological data from the patients home. Albus Home is available in over 50 countries ...

LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience deploying AI/ML systems into production, beyond notebooks and proof-of-concepts Confidence across inference performance, data pipeline design, state/memory handling, and tool or function calling … agent orchestration protocols or the Model Context Protocol (MCP) Awareness of secure-by-design frameworks (ISO 27001, NIST, OWASP) Open-source AI/ML contributions Why Apply Real technical ownership: shape the architecture, not just work through a backlog Work at the leading edge of agentic and generative ...

location) Positions: Permanent Clearance: SC Cleared/Eligible Role Overview In this role, youll simulate real-world attacks to uncover vulnerabilities in AI/ML systems. From stress-testing model guardrails to identifying data privacy risks, youll play a critical role in ensuring secure and trustworthy AI deployments. Working Model … vectors and recommend mitigation strategies Key Requirements 5+ years in offensive cybersecurity (AppSec, Pen Testing, Red Teaming) Minimum 2 years focused on AI/ML security Strong programming skills in Python/Java Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) Familiarity with AI tooling (e.g., LangChain, LlamaIndex ...