Top Machine Learning Jobs in Toronto

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.

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

Serve as a technical presales consultant for FICO’s enterprise decision intelligence solutions. Lead client discovery sessions, design tailored solutions, deliver product demonstrations, develop proofs of concept and proposals, and manage RFI/RFP responses. Create pricing scenarios and ROI analyses, support competitive sales strategies, represent FICO at workshops and conferences, and educate sales teams. The role requires collaboration across product teams and travel of 10–25%.

Lead AI agent optimization efforts by designing systems that improve token efficiency, response time, reliability, and output quality. Build agentic coding systems, develop AI application patterns, own features end to end, collaborate with engineering and field teams, support the developer community, and create public technical documentation. Work across Python, TypeScript, Java, and Go while serving as a domain expert in agent design and optimization.

Own the full lifecycle of production classification and detection models, including transformer fine-tuning, entity detection, behavioral risk scoring, training, serving, versioning, evaluation, drift detection, and retraining. Build SageMaker-based ML systems and define output contracts supporting audit and policy enforcement. Lead the evaluation harness and mentor a co-op while operating as the company’s sole ML engineer.

Design, build, and operate production ML models, services, and platforms for pricing, risk, and decision systems. Own end-to-end model pipelines, deployment, monitoring, and iteration. Collaborate with researchers and product to productionize prototypes, tackle data drift and sparsity, lead design reviews, and mentor teammates.

Lead a team of software engineers while designing and building scalable software applications for KitchenMate’s food micro-market products and business operations. Responsibilities include delivering high-quality and stable engineering, launching products and features, owning initiatives, mentoring teammates, and applying distributed systems, backend, frontend, database, cloud infrastructure, testing, and continuous integration expertise.

Develop and optimize machine learning and statistical models for fraud detection and anti-money laundering. Analyze large datasets to identify fraudulent patterns, build scalable data pipelines and features, evaluate model performance, and collaborate with engineering, product, and operations teams. Communicate insights to technical and non-technical stakeholders while maintaining data privacy and security compliance. The role offers significant ownership in building Oscilar’s early machine learning stack within a remote-first startup.

Lead complex digital projects and programs from initiation through closure for enterprise clients. Manage scope, roadmaps, budgets, resources, risks, delivery methodologies, and client communications. Own AI-enabled delivery guardrails, review gates, workflows, and value measurement. Lead cross-functional teams, facilitate workshops, manage stakeholders, mentor project managers, and support account growth. Continuously improve project management practices through automation, reusable assets, and AI tools.

Own LanceDB’s product direction by shaping the roadmap with technical leadership, researching users and competitors, gathering continuous user insight, and driving cross-functional prioritization. The role partners closely with engineering as a technically respected peer, defines product changes for AI and data-platform users, uses metrics and experiments to guide decisions, and operates with high ownership in an ambiguous environment.

Lead pre-sales technical engagements for an Engineering AI platform: run discovery, craft demos, define technical roadmaps and SOWs, drive adoption and expansion, and liaise between Sales, Forward Deployed Engineering, Product and R&D to translate engineering workflows into AI-enabled solutions.

Lead end-to-end product design for an AI-powered coaching platform: translate ambiguous concepts into cohesive UX, run usability testing, iterate from data and research, own the design system, define visual identity and interaction patterns, mentor designers, and validate AI-integrated interfaces inside real games.

Analyze complex structured and unstructured datasets, develop predictive models, apply statistical and machine learning methods, identify data quality issues, and generate actionable insights. The role integrates data from multiple sources, supports modernization and governance initiatives, creates dashboards and analytical frameworks, and communicates findings to technical and non-technical stakeholders. It is hybrid in Toronto with onsite work required five days as project needs dictate.

Write and edit accessible journalism about AI for a general audience. Responsibilities include pitching ideas, drafting articles, editing researchers’ and writers’ work, setting editorial standards, and helping launch a consistent media program. The founding editor will shape editorial direction and clarify technical material without oversimplifying it.

Reviews and evaluates engineering, infrastructure, and platform documents and work products for technical accuracy, completeness, clarity, consistency, and relevance. Provides structured feedback, identifies errors and gaps, compares technical approaches, and follows defined evaluation frameworks. Requires independent work, strong communication, analytical ability, and professional engineering judgment. The role is fully remote and supports varied technical evaluation projects as an independent contractor.

Design, deploy, and operate enterprise AI/ML solutions across AWS, including machine learning pipelines, MLOps, Generative AI, LLMs, retrieval systems, knowledge graphs, and real-time applications. The role requires production software engineering, data engineering, model monitoring, governance, security, and responsible AI expertise. The engineer will partner with stakeholders, lead technical design discussions, influence architecture, and mentor team members while supporting scalable, cloud-native AI services.

Leads AI and digital transformation initiatives by owning product vision and roadmaps, identifying high-impact automation opportunities, ensuring AI governance and compliance, managing adoption and change, and tracking KPIs and ROI. Partners with operations, marketing, customer success, finance, IT, legal, compliance, security, regional teams, patients, and associates to improve digital experiences, operational excellence, competitiveness, and supply-chain workflows.

Conduct fundamental research in video generation, video editing, and 3D computer vision. Develop state-of-the-art AI and computer vision algorithms, create research prototypes, solve real-world problems, publish in leading conferences, integrate innovations into Huawei products, and supervise interns within collaborative R&D projects.

Conduct research and develop state-of-the-art speech and audio AI technologies. Responsibilities include literature reviews, algorithm implementation, data collection and analysis, deep learning and signal processing, and documenting, presenting, and publishing results while collaborating with researchers under supervision.

Develop and maintain software tools and infrastructure supporting machine learning and AI workflows. Build backend services, APIs, automation tools, and integrations; support large-scale experiments, evaluation, and data processing. Debug issues, improve reliability and performance, collaborate with researchers and engineers, gather user feedback, provide technical support, and write clean, tested code.

Develop grid integration, control, and protection technologies for grid-forming and grid-following inverters, converters, and microgrids. Build power-system EMT simulation models, implement algorithms in C/C++ and Python, optimize generated code for real-time simulation, and deploy protocols and algorithms on PLC controllers. The role involves EMTP, PLECS, or Simulink modeling, IBR protection, communication protocols, technical reporting, and support for patents and research publications.

Conduct research and development in computer vision, machine learning, LLMs, and vision-language models. Develop image and video understanding or generation systems, multimodal reasoning and agentic applications, and optimize models for mobile computing constraints. Responsibilities include prompt engineering, model adaptation, fine-tuning, evaluation, and applied AI research.

Lead scientific strategy for foundation models, oversee research excellence, drive innovation, and ensure impactful delivery while building partnerships and advising on AI decisions.

The role involves developing efficient methods for deep learning, optimizing performance of ML systems, and prototyping new ideas. Candidates should have a strong background in AI research and production settings.

The Senior Researcher will drive research in computer vision and machine learning, manage projects, mentor junior staff, and contribute to patent filings and publications.