Senior Machine Learning Engineer - Recommender Systems
Description For Senior Machine Learning Engineer - Recommender Systems
Thomson Reuters is seeking a Senior Machine Learning Engineer to join their Commercial Engineering team, focusing on Recommender Systems. This role combines technical leadership with hands-on development of machine learning solutions that impact global markets and professionals worldwide. The position requires expertise in ML infrastructure, cloud technologies, and a strong background in developing recommender systems.
The ideal candidate will lead the technical implementation of ML solutions while collaborating with cross-functional teams to deliver scalable, reliable, and secure systems. With 5+ years of experience in practical machine learning and 2+ years in cloud technologies, you'll be responsible for establishing best practices, providing technical oversight, and fostering a culture of continuous improvement.
Thomson Reuters offers a compelling work environment with a hybrid model, comprehensive benefits, and opportunities for professional growth. The company's mission of providing trusted information and solutions makes this role particularly impactful, as your work will directly contribute to helping professionals make informed decisions across legal, tax, accounting, compliance, government, and media sectors.
The position offers competitive compensation, flexible work arrangements, including 8 weeks of work from anywhere, continuous learning opportunities, and a strong focus on work-life balance. You'll be part of a global team of 26,000 employees across 70+ countries, working on projects that uphold the principles of objectivity, accuracy, and transparency in information delivery.
Responsibilities For Senior Machine Learning Engineer - Recommender Systems
- Lead development and technical implementation of machine learning solutions
- Create scalable, reliable, and secure machine learning solutions
- Develop and maintain technical documentation and reference models
- Establish ML best practices, technical standards, and quality control
- Provide technical oversight and guidance
- Collaborate with stakeholders and cross-functional teams
- Foster a team-oriented culture
- Promote continuous improvement and innovation
Requirements For Senior Machine Learning Engineer - Recommender Systems
- 5+ years experience in practical machine learning, especially Recommender Systems
- Deep understanding of data processing and ML infrastructure
- 2+ years experience with cloud technologies (AWS preferred)
- Experience in machine learning and orchestration
- Strong Python programming skills and SQL expertise
- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras
- Experience leading engineering teams
- Strong background in data science and ML solutions
- Creative problem-solving skills
Benefits For Senior Machine Learning Engineer - Recommender Systems
- Hybrid work model (2-3 days in office)
- Flexible work arrangements including 8 weeks work from anywhere
- Continuous learning and skill development programs
- Comprehensive benefits plan
- Flexible vacation
- Mental Health Days
- Access to Headspace app
- Retirement savings
- Tuition reimbursement
- Two paid volunteer days annually
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