Machine Learning Engineer for Tabular Data Models
3 weeks ago
We're building a team at Safe Intelligence to advance the techniques of deep validation and bring them to AI/ML engineers worldwide. As a Machine Learning Engineer, you'll play a key role in applying algorithms developed at Safe Intelligence to address user-specific problems in tabular data for finance and insurance.
You'll work closely with customers and end-users to understand their ML models and help them assess performance. This involves implementing prototypes, conducting experiments, and coordinating with research and platform teams to guide future development.
To succeed in this role, you'll need experience in training and evaluating machine learning models, particularly in the finance and insurance industries. Familiarity with Python and common machine learning libraries is essential. Additionally, you should have an in-depth understanding of neural networks and decision trees, as well as fluency in validation and evaluation frameworks.
We offer competitive compensation based on experience, with a salary range of 55,000-90,000 GBP per annum. In addition to a generous salary, we provide stock option benefits, mentoring and learning allowance, regular team events, and flexible holidays.
We're committed to fostering a culture that values collaboration, meritocracy, and open communication. If you're excited about interacting with others and digging in to help solve complex problems, we encourage you to apply.
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