Lead Machine Learning Engineer
August 28
🏢 In-office - London
Description
• Spearhead the development of our Causal AI platform, designed to optimise business processes across diverse industries. • Provide technical leadership in the development of our Causal AI platform, guiding both the vision and execution within our Product Engineering team, which includes software engineers, data scientists, and machine learning experts. • Lead the design and development of advanced Causal AI algorithms, with a focus on time series and tabular data, ensuring they are optimised 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. • Proven ability to lead and mentor teams, with strong collaboration skills and a commitment to fostering a positive team culture. • Exceptional problem-solving skills, integrity, and a results-driven mindset. • Excellent communication skills, with the ability to convey technical concepts to non-technical stakeholders effectively. • Ability to independently drive technical initiatives in a fast-paced environment.
Benefits
• Access to mental health support through Spill • 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
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