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 ...

indicators. Automate client-ready reporting and insight generation across multiple accounts and channels. Apply AI and machine learning tools (e.g. Python, modern ML frameworks, analytics tooling) pragmatically to deliver value quickly rather than experimental outputs. AI-Driven Resource Management & Agency Operations Design AI-enabled systems to improve resourcing … ahead of developments in AI, martech, attribution, and agency operations. Continuously refine internal frameworks for speed, scalability, and repeatability. Embed a culture of testing, learning, and evidence-based decision making. Ensure AI capability evolves in line with agency growth and client expectations. Qualifications Education Bachelor's or Master ...

network. Company: Well established cyber vendor with a strong portfolio due to some strategic acquisitions: vulnerability management, app security and threat intelligence. (cloud, AI &ML) Multi award winning vendor and recognised in industry reports for their innovation. Global team of over 400 employees - strong foundations from pre-sales & marketing support. ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...