Senior Causal AI Engineer
3 weeks ago
About the Role
We are seeking a highly skilled Senior Causal AI Engineer to lead the development of our Causal AI platform in London. In this role, you will oversee the design and development of advanced Causal AI algorithms, focusing on time series and tabular data, ensuring they are optimized for scalability and performance.
Key Responsibilities
- Design and develop advanced Causal AI algorithms for time series and tabular data, ensuring scalability and performance.
- Oversee feature engineering and machine learning initiatives to deliver robust, production-quality solutions.
- Provide technical guidance and mentoring to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
- Collaborate with cross-functional teams to integrate Causal AI capabilities into our platform's architecture.
Requirements
- Minimum 5 years of experience in machine learning engineering or a related field, with success in deploying machine learning models into production environments.
- Strong academic background in a quantitative discipline or equivalent industry experience.
- Expertise in translating complex machine learning algorithms into scalable, production-quality code, with proficiency in Python and a strong understanding of optimization techniques.
- Experience with Large Language Models (LLMs) is advantageous.
- Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment.
What We Offer
- Competitive salary
- 25 days of paid holiday, plus bank holidays
- Share options
- Pension scheme
- Happy hours and team outings
- Referral bonus program
- Cycle to work scheme
- Friendly tech purchases
- Office snacks and drinks
Interview Process
Our interview process consists of screening interviews and a 'Day 0' spent with the team.
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