Top Machine Learning Jobs in Toronto

Lead the development of fraud prediction models, build feature pipelines, prototype modeling ideas, and productionize models while collaborating with cross-functional teams.

Design, implement, and scale event-driven, distributed backend systems in Python on AWS to process and enrich large-scale document and media datasets. Lead technical projects, mentor engineers, integrate ML/LLM components, optimize performance, maintain observability, and collaborate with Data Science, ML Engineering, and Product to deliver reliable high-throughput content processing services.

Lead zero-to-one product initiatives to transform knowledge discovery using ML/LLMs. Define vision, roadmap, and success metrics; prioritize trade-offs; partner with Design, Engineering, ML, and Data Science; deliver incremental wins while building an extensible platform and improving prospect and subscriber experiences across devices.

Design, build, and optimize event-driven, distributed backend systems and APIs in Python for large-scale content metadata extraction and enrichment. Deploy and operate resilient AWS-based pipelines, collaborate with ML teams to integrate models, and ensure system performance, observability, and data integrity.

Design, build, and scale event-driven, distributed backend systems in Python to extract and enrich metadata at massive scale. Lead architecture, mentor engineers, integrate ML/LLM components, optimize performance, and ensure observability and reliability across AWS-based pipelines.

Design and deploy predictive models and segmentations using statistical and ML/AI methods. Prepare, clean, and feature-engineer data from warehouses, develop and operationalize models, create visualizations and presentations, document rules, and advise stakeholders to inform business decisions and improve data management tools.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

Lead and grow a distributed software engineering team building preconstruction workflows and cloud-native, customer-facing web services. Partner with product, design, data science, and platform teams to deliver AI-powered features, drive engineering excellence, improve reliability, and hire and mentor engineers while balancing near-term delivery with long-term technical investments.

Lead product strategy and roadmap for eBay Search, driving growth through AI-driven features. Partner with engineering, design, data science, and analytics to build MVPs, run A/B tests, iterate quickly, and measure impact to improve discovery, personalization, and user experience.

The role involves designing, developing, and implementing AI/ML solutions for Investment Banking products. Responsibilities include leading technical direction, mentoring junior engineers, collaborating with stakeholders, optimizing AI systems, and ensuring data quality for deployment.

As a Data Scientist, develop machine learning models to support trading strategies, collaborate with teams, analyze data, and improve trading performance.

Define and execute a multi-year manufacturing automation strategy, lead a multidisciplinary automation team, deliver end-to-end AI-enabled automation projects (design through commissioning), integrate ML, computer vision, SCADA and IoT systems, manage budget and KPIs, and mentor senior technical talent to improve safety, quality, throughput, and cost across manufacturing.

Lead machine learning initiatives, oversee product development, improve execution pace, enhance team reliability, and foster team growth at Hightouch.

Senior Data Scientist for Rovio's Beacon platform in Espoo. Develop predictive and statistical models for User Acquisition, handle long-term forecasting, uncertainty quantification, optimization, and rare-event behavior. Translate research into production, own model lifecycle from experimentation to deployment and monitoring, and collaborate closely with UA, game teams, finance, analysts, and engineers while contributing to a collaborative modelling culture.

Lead sales-focused data science initiatives: build and maintain data models and ML systems, design experiments (A/B tests), create dashboards and reports, perform exploratory analyses, and partner with Commercial, Product, and Engineering to drive business impact.

Design and implement scalable data pipelines and ML algorithms to optimize StackAdapt's digital advertising platform. Collaborate with teams to solve complex problems.

As an Applied Machine Learning Scientist, you will innovate and develop machine learning algorithms, write production code, and collaborate to implement and test these solutions based on historical data.

Lead integration of global airline partners, optimize supply ecosystem, leverage AI for automation, and manage product specifications and roadmaps.

The Senior Forward Deployed Engineer will deliver technical solutions using AI, engage with customers, and lead project lifecycles while mentoring junior engineers.

The Data Scientist will analyze customer health, conduct quantitative research, develop insights for teams, and inform strategy based on data analysis.

As a Machine Learning Engineer at Doppel, you will design, train, and deploy models for detecting malicious content, working with large datasets and collaborating with teams to ensure scalability and production readiness.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

As a Senior Machine Learning Engineer, you'll develop ML solutions, design APIs, maintain data pipelines, and collaborate with teams for optimal performance and innovation.

Build and operate ML training and serving infrastructure. Design, develop, and launch backend systems, collaborate across teams, support operations and on-call, write well-tested extensible code, and participate in team growth and hiring activities.

The Senior Technical Account Manager acts as a technical advisor for ISP and Enterprise customers, driving successful adoption of Plume's solutions while coordinating cross-functional efforts and managing customer relationships.