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Application Deadline: 04/30/2026 Address: 100 King Street West Job Family Group: Data Analytics & Reporting Join a team at the forefront of financial crimes prevention, where your expertise in machine learning and AI directly safeguards millions of customers. As an ML Engineer in the BMO Financial Crimes Unit, you will directly contribute to this mission by designing, deploying, and operationalizing ML‑powered capabilities that elevate BMO’s ability to identify and mitigate financial crime risks across cyber, fraud, and physical domains. Your voice will influence senior leadership, your insights will guide operational action, and your creativity will be essential to solving complex and ambiguous problems. If you thrive in high‑stakes environments and want your work to make a meaningful difference every day—this is your opportunity. ****HYBRID work model, with the number of required in‑office days increasing based on business and organizational needs. Currently 2 days in office is required. Key Responsibilities Design and build production-grade MLOps libraries and frameworks that support the full model development and deployment lifecycle, from experimentation through production. Design, build, and manage Copilot Studio agents, plugins, and orchestration workflows that integrate ML models and enterprise data. Translate data scientists’ code into scalable, efficient, and fault-tolerant implementations, optimizing runtimes and operational stability. Establish standardized patterns and reusable components for model training, packaging, deployment, and monitoring. Proactively contribute to improving model monitoring, observability, and operational readiness in production environments. KEY Skills and Education: 7+ years of experience with Python and SQL, and associated toolkits 4+ years in developing production‑grade machine learning, artificial intelligence, and agentic AI systems, preferably within financial services and banking. Experience designing and implementing agentic solutions using Copilot Studio or equivalent platforms 4+ years in MLOps best practices, including CI/CD for ML, and developing/extending MLOps frameworks and libraries to support the full model development lifecycle Clear, concise communication skills, capable of tailoring complex technical content to diverse audiences and ensuring alignment across technical and business stakeholders. Strong analytical, problem‑solving, and critical‑thinking skills, with the ability to approach ambiguous or novel situations creatively and effectively. Effective collaboration and teamwork, with a focus on cross‑functional and cross‑group partnership to drive enterprise‑level outcomes. Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or another quantitative discipline, or equivalent professional experience. Salary: $103,200.00 - $192,000.00 Pay Type: Salaried The above represents BMO Financial Group’s pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position. BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset. To find out more visit us at https://jobs.bmo.com/ca/en. BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes. BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.