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Lead Machine Learning Engineer

2 months ago

Fulham, Greater London, United Kingdom causaLens Full time
About causaLens

causaLens is a pioneering company in the field of Causal AI, a new category of intelligent machines that understand cause and effect. Our mission is to build truly intelligent machines that can solve real-world business problems and unlock the true potential of AI for the enterprise.

Job Description

We are seeking a highly motivated and experienced Lead Machine Learning Engineer to join our Product team in London. As a key member of our team, you will be responsible for spearheading the development of our Causal AI platform, designed to optimize business processes across diverse industries.

Key Responsibilities
  • Provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team.
  • Lead the design and development of advanced Causal AI algorithms, with a focus on time series and tabular data, ensuring they are optimized for scalability and performance.
  • Oversee feature engineering and machine learning initiatives to deliver robust, production-quality solutions.
  • Provide mentoring and technical guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Collaborate with cross-functional teams, including product management, DevOps, and UX/UI design, to seamlessly integrate Causal AI capabilities into our platform's architecture.
Requirements
  • A minimum of 5 years of experience in machine learning engineering or a related field, with demonstrated success in deploying machine learning models into production environments.
  • Strong academic background in a quantitative discipline (e.g., machine learning, statistics, mathematics) 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 Cython and CUDA is a plus).
  • Experience in developing Large Language Models (LLMs) is advantageous.
  • In-depth understanding of computer architecture and its implications on AI/ML performance.
  • Comprehensive knowledge of the software development life cycle, including best practices in version control, testing, and deployment.
What We Offer
  • A competitive salary and benefits package.
  • A hybrid working setup and a dedicated team.
  • Access to mental health support through Spill.
  • A referral bonus program.
  • A cycle to work scheme.
  • Office snacks and drinks.

We are committed to building an inclusive culture where diverse people and perspectives are welcomed. If you are excited about leading from both a technical and managerial perspective in the field of Causal AI, we encourage you to apply and join us on this groundbreaking journey.