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Role overview
Job description
About us: Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making. Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence. About the team We’re hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generat
…About this listing
- Source: Causaly's official careers site (via Ashby) · last confirmed on the source 3 Nov 2026
- Posted 4 Mar 2026
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Role market pulse
How Senior AI Engineer demand looks in United Kingdom
Live jobs
5
Posted 30d
4
30d movement
Early signal
Remote share
80%
Salary listed
0%
Salary trend 1Y
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What they are looking for
Skills & requirements
Qualification
Delivering a faster research experience is not just a matter of picking the latest LLM model; · Choose the right approach for the problem at hand, evaluating classical ML and NLP techniques, LLM-based solutions, and agentic solutions to balance trade-offs between speed, cost, complexity, interpretability, and performance; What experience you’ll need to be successful · A master's degree or above in Computer Science, Electrical Engineering or a related field; · 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring
Department · Technology
Hiring company
Causaly
Only Causaly combines advanced agentic AI, precision knowledge graphs, and workflow automation to accelerate R&D productivity and decision-making at scale.
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