Machine Learning Engineer jobs in Toronto

Doppel

$15,250 - $35,783 /month

Who you are Have experience building and deploying ML systems in production environments Are comfortable working with large-scale datasets and distributed data processing frameworks Understand the trade-offs between research-quality models and production-ready systems Are excited about solving real-

Hays

Job Title: Machine Learning Engineer Location: Remote Employment Type: Contract Duration: 6 months Rate: $80/h (Negotiable) Role Overview We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML solutions. This role focuses on developing and improving models, working acros

RBC

Step into a leadership role as a Lead AI and Machine Learning Engineer at RBC in Toronto, Canada. You will spearhead the development of advanced machine learning solutions within a high-performing team. In this dynamic full-time position, you'll oversee the design, deployment, and optimization of AI

Elevate digital security at Doppel as a Machine Learning Engineer with a focus on detection systems. Contribute to groundbreaking AI solutions aimed at preventing social engineering attacks. Doppel is on the lookout for a Machine Learning Engineer dedicated to building powerful detection models. In

EvenUp

Shape the future of justice technology as a Lead Machine Learning Engineer at EvenUp. Drive the development of high-impact generative AI products that enhance legal outcomes. In the pivotal role at EvenUp, you will lead the design of large-scale ML systems focusing on Retrieval-Augmented Generation

Autodesk

Advance your career at Autodesk as a Machine Learning Engineer, specializing in systems and infrastructure. Work remotely to build scalable ML pipelines and optimization frameworks for AI technologies. You will focus on engineering-first solutions for ML systems, partnering with software engineers a

Elevate your career as a Machine Learning Engineer with Pinterest. Leverage your expertise in machine learning, big data technologies, and data processing to innovate personalized experiences. Pinterest seeks a Machine Learning Engineer with a Master’s or PhD and 2+ years of industry experience. The

Fusemachines

Fusemachines is seeking a Remote Machine Learning Engineer specialized in data science to drive impactful AI solutions. Engage in all ML lifecycle phases, providing critical insights through your advanced modeling skills. As a full-time member of the Fusemachines team, you will leverage your experie

Join Red Hat as a Machine Learning Engineer focused on optimizing AI models. Work in a collaborative setting to develop cutting-edge deep learning solutions while contributing to open-source projects. This role centers on model optimization within the inference team, where you will leverage your ski

EvenUp

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own i

ServiceNow

Join ServiceNow as a Staff Machine Learning Engineer specializing in VoIP Infrastructure. Leverage your expertise to develop AI-enhanced telephony systems and observability features. This role is geared towards experienced engineers with a passion for VoIP technology and AI applications. You will de

Requirements 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning) End-to-end hands‑on experience with building data proces

Altera

Drive innovation in machine learning with a leading role in developing Altera's FPGA Compiler in Toronto, Ontario. This position focuses on optimizing and deploying advanced ML technologies for enhanced performance. As a Machine Learning Engineer, you will be pivotal in the intersection between mach

Advance your career as a Machine Learning Research Engineer at RBC Borealis, engaging with massive datasets and forefront machine learning technology. Your work will drive significant AI projects in natural language processing and more. This role invites innovative minds to join a collaborative rese

Autodesk

Architect large-scale ML platforms with Autodesk as a Lead ML Engineer, focusing on cutting-edge systems architecture in a remote role. Your work will shape the future of machine learning. This senior role offers the opportunity to own significant technical initiatives related to ML infrastructure a

RBC

Advance in your career as a Senior MLOps Engineer with RBC Borealis in Toronto. Focus on designing scalable machine learning infrastructure and deploying state-of-the-art solutions. As the Principal Engineer, you will lead initiatives to design and optimize machine learning deployment tools while en

ODAIA

Elevate your career with RBC as a Senior Data and Cloud Engineer. Your impact will be felt through the development of advanced ML solutions and cloud infrastructure. Within the RBC Technology and Operations division, you will play a key role in the Retail Credit AI & Digital Transformation Program.

Affirm

Senior Staff Machine Learning Engineer (ML Underwriting) Affirm, headquartered in Queens, Prince Edward Island, Canada, is reinventing credit to make it more honest and friendly, giving consumers flexibility to buy now and pay later without hidden fees or compounding interest. The Senior Staff Machi

TestingXperts

Job Spec - Senior Staff Applied ML Engineer Location: Toronto – hybrid 3 days a week Overview We’re hiring Applied ML Engineers to partner with multiple product teams to extract insights from data and build AI-powered features and automated workflows across the product suite. In this role, you will

Requirements - 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production - Hands-on experience developing ranking or recommendation systems from scratch, deployed at scale using techniques such as learn-to-rank, explainable recommend