4 of 4 Remote/Hybrid Machine Learning Jobs in Guildford

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a 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 … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you'll: Lead global strategy and execution across computer vision, ML, and data engineering. Scale world-class engineering and research teams across multiple regions. Oversee the design, optimization, and deployment of real-time tracking and visual intelligence … requirements: Proven background leading large computer vision or real-time data engineering teams. Expertise in object tracking, image/video processing, or large-scale ML deployment. Strong technical leadership and cross-functional delivery at global scale. Experience turning advanced R&D into production-grade systems. This is a high-visibility ...