At a Glance
- Tasks: Lead the technical strategy for production ML systems and influence AI adoption.
- Company: Join Hiscox, a leader in innovative underwriting solutions.
- Benefits: Competitive salary, mentoring opportunities, and a collaborative work environment.
- Other info: Great opportunities for career growth and professional development.
- Why this job: Shape the future of AI in a dynamic and impactful role.
- Qualifications: Extensive experience in machine learning, Python, and MLOps required.
The predicted salary is between 80000 - 100000 £ per year.
Hiscox Underwriting Group Services Ltd is seeking a Principal Machine Learning Engineer to lead the technical strategy for production ML systems in the London/York area. This role requires extensive machine learning engineering experience and the ability to influence AI adoption within the organization.
The ideal candidate will have a strong background in Python, MLOps, and deep learning practices, focusing on operational excellence. Opportunities for mentoring and collaborative work await.
Principal ML Engineer: Lead Production AI Platform in London employer: Job Search Place Limited
Hiscox Underwriting Group Services Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London/York. With a strong emphasis on employee growth, you will have the opportunity to mentor others while advancing your own skills in a supportive environment that values operational excellence and the adoption of cutting-edge AI technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Principal ML Engineer: Lead Production AI Platform in London
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We think you need these skills to ace Principal ML Engineer: Lead Production AI Platform in London
Some tips for your application 🫡
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. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
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