At a Glance
- Tasks: Lead modelling evaluations and define metrics for enterprise workflows.
- Company: Cohere, a forward-thinking tech company focused on AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to innovation and excellence.
- Why this job: Make a real impact by improving product outcomes through data-driven insights.
- Qualifications: Experience in applied machine learning and strong collaboration skills.
The predicted salary is between 60750 - 74250 Β£ per year.
Cohere is seeking a hands-on, applied MLE specialist to lead North modelling evaluations.
You will define evaluation metrics across enterprise workflows, build robust evals from real usage data, and ensure model progress translates into better product outcomes for North users.
You will collaborate with North product teams, customer-facing teams, and modelling teams to drive practical evaluation workflows and actionable insights.
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Applied ML Engineer, North β Evals & Modeling employer: AI Chopping Block
AI Chopping Block is an exceptional employer, offering a vibrant and innovative work culture in Greater London that fosters creativity and collaboration. Employees benefit from a competitive compensation package, including private health insurance and generous leave policies, while also having ample opportunities for professional growth in the cutting-edge field of biotech and protein design. Join us to make a meaningful impact in a dynamic environment where your contributions are valued and recognised.
StudySmarter Expert Adviceπ€«
We think this is how you could land Applied ML Engineer, North β Evals & Modeling
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We think you need these skills to ace Applied ML Engineer, North β Evals & Modeling
Some tips for your application π«‘
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Donβt forget to include links to any GitHub repositories if applicable!
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β¨Brush Up on Your Statistics
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