Machine Learning Engineer

About the Role

At our London headquarters, we address some of the most intricate challenges in quantitative finance by applying scientific rigor to complex financial data. Our team of elite researchers and engineers collaborates in an environment that emphasizes thorough research and meticulous execution, understanding that groundbreaking ideas require time to develop. We are committed to creating a world-class platform that amplifies our teams' most innovative thinking.

Joining our engineering team, you will help design scalable platforms and tools that enhance impactful research, speed up discoveries, and foster innovation across the firm.

Role Responsibilities

• Collaborate with quantitative researchers to solve advanced machine learning problems
• Engage in both solo and team-based projects addressing challenging research questions
• Utilize a blend of existing tools and bespoke solutions to advance quantitative research capabilities
• Implement concepts from recent academic research papers
• Create specialized libraries for efficient training involving petabytes of data
• Optimize machine learning operations to reduce model training durations
• Analyze custom ML model architectures to find and address performance inefficiencies
• Assess and incorporate leading hardware and software advancements within the machine learning landscape

Candidate Profile

• Possess a postgraduate degree in machine learning or related fields, or hold commercial experience developing machine learning models at scale; outstanding data science competition achievements (such as Kaggle) will also be considered
• Demonstrate strong object-oriented programming skills with proficiency in Python, PyTorch, and NumPy
• Experience in advanced optimization techniques, modern ML methodologies, high-performance computing (HPC), profiling, or model inference; familiarity with all is not mandatory
• Exhibit excellent reasoning and communication skills in machine learning to adapt and develop novel models collaboratively, especially when off-the-shelf solutions fall short

Prior finance experience is not required; applicants from diverse backgrounds are encouraged.

Employee Benefits

• Competitive salary paired with an annual discretionary bonus
• Complimentary lunch provided through Just Eat for Business and access to a dedicated barista bar
• Generous annual leave of 35 days
• Contributions to company pension totaling 9%
• Relaxed dress code and a strong emphasis on work-life balance
• Inclusive healthcare coverage and life assurance plan
• Participation in a cycle-to-work scheme
• Monthly organized company events fostering team spirit