Machine learning engineer Jobs in Toronto, ON
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Machine learning engineer • toronto on
Last updated: 5 hours ago
Munich Re sees the use of medical data as instrumental in enhancing the customer experience and expanding insurability for life insurance.
Integrated Analytics (IA) leads this effort in the US and C...Show moreLast updated: 30+ days ago
The Machine Learning Engineer role focuses on building and optimizing advanced machine learning models with an emphasis on natural language processing (NLP).
The engineer will apply transformer-base...Show moreLast updated: 30+ days ago
Job Title : -AI / ML Security Engineer - Information SecurityJob Location : - Toronto, ON Hybrid -3 day onsite mandatory Mandatory Skills Must Have : Gen-AI , LLM security solution, ML, MLOpsGood to ha...Show moreLast updated: 4 days ago
The Machine Learning Engineers will be a part of the Group Advanced Analytics team and will be tasked with packaging models, automating workflow, and operationalizing analytics solutions to generat...Show moreLast updated: 1 day ago
ProNavigator helps insurance organizations centralize, manage, and deliver on-demand information to sales, service, underwriting, and brokers / agents.
In 2019, we pioneered the first knowledge manage...Show moreLast updated: 30+ days ago
Get AI-powered advice on this job and more exclusive features.Direct message the job poster from Tekshapers.Role : AI Scientist (Machine Learning Engineer).
Design and develop ML systems : Choose the ...Show moreLast updated: 1 day ago
The French translation can be found below! / La traduction en français se trouve ci-dessous!.Machine Learning Engineers are both data / research scientists and software engineers, who develop and imple...Show moreLast updated: 7 days ago
Get AI-powered advice on this job and more exclusive features.This range is provided by Dacaro Services.Your actual pay will be based on your skills and experience — talk with your recruiter to lea...Show moreLast updated: 7 days ago
North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.From casinos and racetracks to online gaming, sports betting and entertainment content, w...Show moreLast updated: 7 days ago
Get AI-powered advice on this job and more exclusive features.Join Manulife and be part of an exceptionally dedicated team where your work ethic will determine the success of our innovative solutio...Show moreLast updated: 12 days ago
MLOps Engineer – Real-Time AI Systems.We're looking for an experienced.ML models for real-time video and audio applications.
You'll work alongside data scientists and engineers to build fast, reliab...Show moreLast updated: 30+ days ago
Marketing Intelligence Team at Morningstar.This role will play a critical role by setting the requirements for.You will evangelize model findings and feature engineering insights to marketing stake...Show moreLast updated: 10 days ago
North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.From casinos and racetracks to online gaming, sports betting and entertainment content, w...Show moreLast updated: 7 days ago
Engineering Machine Learning Operations.Embark on a rewarding career with Sobeys Inc.Canada’s Top 100 employers, where your talents contribute to our commitment to excellence and community impact.O...Show moreLast updated: 24 days ago
Job Description : Machine Learning Engineer at Tiger Analytics.Tiger Analytics is an advanced analytics consulting firm, trusted by several Fortune 100 companies to generate business value from data...Show moreLast updated: 7 days ago
Wisedocs is on a mission to make it easy and accessible for any company in the insurance, legal and medical space to understand medical documents quickly using AI (Artificial Intelligence).Every we...Show moreLast updated: 5 hours ago
Valence has built the first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance & support to any leader or employee.At Valence, we're not ju...Show moreLast updated: 7 days ago
What if, in your next adventure, you were surrounded by people who, like you, look for an unlimited playground to explore, share, and test? Would you care to hear more? You've opened the right door...Show moreLast updated: 7 days ago
We are looking for a Senior Machine Learning Engineer, to work on developing large-scale big-data machine learning & solution automation toolkits and libraries.
In this role, you will work with a ta...Show moreLast updated: 7 days ago
Get AI-powered advice on this job and access more exclusive features.Ideogram is on a mission to make professional-quality design accessible to everyone.
We’re building an AI-native application that...Show moreLast updated: 7 days ago
- Promoted
Machine Learning Engineer
Munich ReToronto, ON, CanadaFull-time
RQ09177 Machine Learning Engineer
Randstad CanadaNorth York, Ontario, CATemporary
Quick Apply
- Promoted
Machine Learning Engineer
HCLTechToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
Manulife FinancialToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
ProNavigatorOld Toronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
TekshapersToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
AutodeskToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
Dacaro, Inc.Toronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
The ScoreToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
ManulifeToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
DeepRec.aiToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
Morningstar, Inc.Toronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
theScoreToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
SobeysToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
Tiger AnalyticsToronto, ON, CanadaFull-time
- Promoted
- New!
Machine Learning Engineer
WisedocsToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
ValenceToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
CriteoToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
HRBToronto, ON, CanadaFull-time
- Promoted
Machine Learning Engineer
IdeogramToronto, ON, CanadaFull-time
- Bradford West Gwillimbury, ON (from $ 92,625 to $ 296,000 year)
- Quinte West, ON (from $ 92,625 to $ 296,000 year)
- Ottawa, ON (from $ 119,591 to $ 271,835 year)
- Victoria, BC (from $ 38,805 to $ 250,000 year)
- Thunder Bay, ON (from $ 142,500 to $ 238,700 year)
- Owen Sound, ON (from $ 128,524 to $ 233,400 year)
- North Bay, ON (from $ 140,000 to $ 228,800 year)
- Prince George, BC (from $ 121,250 to $ 227,300 year)
- Prince Edward, ON (from $ 134,611 to $ 211,725 year)
- Greater Sudbury, ON (from $ 122,925 to $ 200,000 year)
Machine Learning Engineer
Munich ReToronto, ON, Canada30+ days ago
Job type
- Full-time
Job descriptionCollaborate closely with team members on developing machine learning / AI systems from prototyping to production. Leverage proprietary and off-the-shelf (e.g., Llama, GPT-4o, NuExtract) models to enable new risk assessment paradigms. Design, test, build, and maintain the backend infrastructure to manage the model lifecycle. Work with existing data science and engineering groups at Munich Re to develop model management best practices. Bachelor’s Degree in Engineering, Mathematics, Computer Science, Data Science, Physics 2-3 years of experience in deploying models and managing the model lifecycle Experience working with data and models through the model lifecycle with emphasis on CI / CD for ML, versioning, reproducibility Intermediate knowledge of principles of software development Strong written technical communication skills Ability to manipulate large structured and unstructured datasets Familiarity with cloud computing Infrastructure : experience with ML platform / orchestration tools (e.g., MLFlow, Flyte, Sagemaker, etc); familiarity with containerization (e.g., Docker), orchestration (e.g., Kubernetes) and infrastructure-as-code (e.g., Terraform) Machine Learning : experience with Hugging Face, modelling libraries (e.g., scikit-learn, PyTorch), 3rd party LLMs (OpenAI models, Claude, etc.) An engaging and collaborative environment that promotes continuous learning and development A hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoons A great compensation package including annual company bonus Market leading company-paid flexible health and dental benefits, starting on your first day Flexible dollars provided by the company to put towards Health Spending Account and / or Wellness Spending Account Immediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company match Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees Maternity, Parental & Adoption Leave top-up program Employee Referral Program, Recognition & Rewards Platform
Position Overview
Munich Re sees the use of medical data as instrumental in enhancing the customer experience and expanding insurability for life insurance. Integrated Analytics (IA) leads this effort in the US and Canada. Individuals in the role of Machine Learning Engineer will use their knowledge of software engineering and data science to operationalize solutions that leverage proprietary and off-the-shelf models to solve key challenges in medical risk assessment.
- In the past year we have :
- Automated risk assessment for medical impairments using Electronic Health Records
- Deployed 10+ models to production in partnership with data science
- Expanded MLOps infrastructure to support data science workflows and operationalize Munich Re’s AI Governance program
Your Role :
Your Profile :
Nice to have :
Together, we engage with everything we have and are, to help humankind act braver and better.
As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.
Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.
What Can We Offer You?
We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include :
Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.
Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact [email protected] as soon as practical so that suitable accommodations can be arranged.
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