Lead Machine Learning Engineer - Recommender Systems
Description For Lead Machine Learning Engineer - Recommender Systems
Thomson Reuters is seeking a Lead Machine Learning Engineer to join their team, focusing on Recommender Systems. This role combines technical leadership with hands-on machine learning development, requiring expertise in both team management and advanced ML technologies. The position offers a unique opportunity to work with a global leader in professional information services, helping to shape how AI and ML solutions are implemented across Thomson Reuters' products.
The role demands a seasoned professional with at least 5 years of ML experience, particularly in Recommender Systems, along with strong capabilities in cloud technologies and data processing. You'll be responsible for leading technical implementations, mentoring team members, and driving innovation in AI/ML solutions. The position involves working with cutting-edge technologies including Python, SQL, PyTorch, and various ML frameworks.
Thomson Reuters offers an attractive hybrid work environment with significant flexibility, including their "Flex My Way" policy allowing up to 8 weeks of work from anywhere annually. The company provides comprehensive benefits including mental health support, continuous learning opportunities, and various wellness programs. As part of a 26,000-strong global workforce, you'll contribute to Thomson Reuters' mission of providing trusted content and technology that helps professionals make informed decisions.
The role presents an excellent opportunity for experienced ML engineers looking to make a real-world impact while working with a company that values innovation, professional growth, and work-life balance. You'll be part of an organization that serves professionals across legal, tax, accounting, compliance, government, and media sectors, helping to uphold the rule of law and drive transparency in global markets.
Responsibilities For Lead Machine Learning Engineer - Recommender Systems
- Provide technical direction for projects and break down business requirements
- Spearhead development and technical implementation of machine learning solutions
- Lead routine projects with manageable risks
- Deliver AI/ML solutions using emerging technologies
- Train and mentor colleagues
- Design and develop control logic for end-to-end AI-based solutions
- Lead design and development of Proof of Concepts
- Improve operations through systems analysis
Requirements For Lead Machine Learning Engineer - Recommender Systems
- Over 5 years of experience with machine learning, especially Recommender Systems
- Strong understanding of data processing, ML infrastructure, and DevOps/MLOps
- At least 2 years with cloud technologies (preferably AWS)
- Proficient in Python, SQL, and data modeling
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, and Keras
- Experience leading engineering teams
- Creative problem-solving skills
Benefits For Lead Machine Learning Engineer - Recommender Systems
- Hybrid work model (2-3 days in office)
- Flexible work arrangements including work from anywhere for up to 8 weeks per year
- Continuous learning and skill development programs
- Flexible vacation
- Two company-wide Mental Health Days off
- Access to Headspace app
- Retirement savings
- Tuition reimbursement
- Employee incentive programs
- Mental, physical, and financial wellbeing resources
- Two paid volunteer days annually
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