At a Glance
- Tasks: Design challenging computational problems for advanced AI systems in scientific workflows.
- Company: Obsidian, a leader in computational statistics and applied mathematics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Exciting role in Greater London with a focus on innovation.
- Why this job: Join a cutting-edge team and shape the future of AI in science.
- Qualifications: Graduate-level expertise in Bayesian statistics and proficiency in Python.
The predicted salary is between 29250 - 35750 £ per year.
Obsidian is seeking a Computational Bayesian Statistics and Applied Mathematics Expert in Greater London.
The role involves designing challenging computational problems that assess advanced AI systems against scientific workflows.
The ideal candidate will have graduate-level expertise and proven proficiency with relevant scientific software.
A strong background in Python and independent problem design skills are essential for this position.
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Computational Bayesian Problem Designer employer: Obsidian
At Obsidian, we pride ourselves on fostering a collaborative and innovative work culture that empowers our ML Scientists to push the boundaries of machine learning research. Located in a vibrant tech hub, we offer competitive compensation, flexible project-based work, and ample opportunities for professional growth, making us an excellent employer for those looking to make a meaningful impact in the field of AI.
