Sr. Machine Learning Engineer

**Senior Machine Learning Engineer - Recommender Systems**Join our team at Thomson Reuters and contribute to the global knowledge economy. Our innovative technology influences global markets and supports professionals worldwide in making pivotal decisions. Collaborate with some of the brightest minds on diverse projects to craft next-generation solutions that have a significant impact. As a leader in providing intelligent information, we value the unique perspectives that foster the advancement of our business and your professional journey.Are you excited about the opportunity to leverage your extensive technical expertise to guide a development team through the complexities of full life cycle implementation at a top-tier company? Our Commercial Engineering team is eager to welcome a skilled Senior Machine Learning Engineer to our established global engineering group. We're looking for someone enthusiastic, an independent thinker, who excels in a collaborative environment across various disciplines, and is at ease interacting with a diverse range of individuals and technological stacks. This is your chance to make a lasting impact by transforming customer interactions as we develop the next generation of an enterprise-wide experience.**About the Role**:As a Senior Machine Learning Engineer, you will:- Spearhead the development and technical implementation of machine learning solutions, including configuration and integration, to fulfill business, product, and recommender system objectives.- Create machine learning solutions that are scalable, dependable, and secure.- Craft and sustain technical outputs such as design documentation and representative models.- Contribute to the establishment of machine learning best practices, technical standards, model designs, and quality control, including code reviews.- Provide expert oversight, guidance on implementation, and solutions for technical challenges.- Collaborate with an array of stakeholders, cross-functional and product teams, business units, technical specialists, and architects to grasp the project scope, requirements, solutions, data, and services.- Promote a team-focused culture that values information sharing and diverse viewpoints.- Cultivate an environment of continual enhancement, learning, innovation, and deployment.**About You**:- At least 5 years of experience in addressing practical machine learning challenges, particularly with Recommender Systems, to enhance user efficiency, reliability, and consistency.- A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.- A minimum of 2 years of experience with cloud technologies (AWS is preferred), including services, networking, and security principles.- Direct experience in machine learning and orchestration, developing intricate multi-tenant machine learning products.- Proficient Python programming skills, SQL, and data modeling expertise, with DBT considered a plus.- Familiarity with Spark, Airflow, PyTorch, Scikit-learn, Pandas, Keras, and other relevant ML libraries.- Experience in leading and supporting engineering teams.- Robust background in crafting data science and machine learning solutions.- A creative, resourceful, and effective problem-solving approach.LI-FZ1**What’s in it For You?**- ** Hybrid Work Model**: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.- ** Flexibility & Work-Life Balance**: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.- ** Career Development and Growth**: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.- ** Industry Competitive Benefits**: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.- ** Culture**: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.- ** Social Impact**: Make an impact in your community with our Social