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Artificial Intelligence Machine Learning Engineer Jobs in Toronto, ON

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related fields ... Proficiency in Python programming and software development practices, with experience in building ...

The gap isn't in intelligence; it's in execution. Thri5 continually scans data across the business ... Your Role As an AI / Machine Learning Engineer at Thri5, you'll help build the agent layer that ...

... for AI and machine learning systems across the organization. This senior role ensures AI ... The architect works closely with AI engineering teams, cloud architects, GRC leaders, and executive ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Showing results 41-60

Artificial Intelligence Machine Learning Engineer information

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Toronto, ON?

For Artificial Intelligence Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Toronto, ON look for?

The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Artificial Intelligence Machine Learning Engineer jobs?

Cities near Toronto, ON with the most Artificial Intelligence Machine Learning Engineer job openings:

Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 81% In-person, and 19% Remote job distribution.

Machine Learning Engineer - Express Scripts Canada

Socket.dev

Mississauga, ON • On-site

$115 - $125/hr

Other

Medical, Dental, Vision, Retirement

Posted 20 days ago


Job description

Job Details
  • Job Title: Machine Learning Engineer
  • Location: Mississauga
  • Employment Type: Full-time
  • Reason for Vacancy: Replacement
  • Work Arrangement: Hybrid
  • Department Name: Application Delivery Department
  • Pay Typed: Salaried
  • Pay Range: $115,000 - $125,000 annually
  • Please note that this is a general posting range and offer range will be varied based on relevant experience, qualifications, skills required and location for this role.
About Us

Express Scripts Canada (ESC) is the leader in health benefits management. Serving over 12 million members, we help insurance carriers, third party administrators, and the public sector optimize the value of health benefits by linking the talent and professional expertise of our people with leading edge information management systems and technology. Express Scripts Canada is a wholly owned subsidiary of Express Scripts, one of the largest pharmacy benefit management (PBM) companies in North America, part of The Cigna Group (NYSE: CI), a global health company. Together, we deliver innovative, cost-effective solutions that improve access, affordability, and health outcomes for Canadians.

Job Summary

Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and pharmacies.

The role blends hands‑on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll ensure the best possible performance, quality, and responsiveness of the applications and pipelines, and help maintain code quality, organization, and automation.

Key Responsibilities
  • Design & implement ML data pipelines to ingest, engineer, and persist features from Oracle (SQLAlchemy/oracledb), including robust logging, argument‑driven CLI tools, and environment‑based configuration (.env).
  • Build and validate unsupervised ML models (e.g., MiniBatchKMeans/KMeans, DBSCAN) with dimensionality reduction (TruncatedSVD/PCA), leveraging chunked processing and sparse matrices for large datasets; evaluate using silhouette/Calinski‑Harabasz/Davies‑Bouldin and stability checks.
  • Serve models as REST APIs (ie. FastAPI/Pydantic) with health endpoints, CORS, structured response models, and joblib artifact loading; instrument application logs and operational run scripts.
  • Orchestrate end‑to‑end validation (DB → feature engineering → API scoring → curated outputs), writing curated results back to Oracle tables and creating/maintaining schemas and DDL where required.
  • Collaborate with business teams to interpret clusters/risk buckets, explain top contributing features, and incorporate feedback loops into subsequent runs and outputs.
  • Support deployment workflows in sandboxed/on‑prem environments; participate in CI/CD (e.g., Jenkins/OpenShift pipelines) as part of model operationalization.
  • Ensure performance, quality, and responsiveness of data pipelines and APIs; help maintain code quality, organization, and automation; perform code reviews and follow Agile ceremonies.
  • Understand how AI is interpreting the data set and use that understanding to build prompt that lead to expected outcomes.
  • Develop and maintain AI pipelines including data preprocessing, feature extractions, model training, and evaluation.
What We’re Looking For
  • 5+ years application development experience;3–5 years of professional experience in data science / machine learning engineering with Python, including productionizing data pipelines or ML services
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience)
  • Core programming (Python): Strong with NumPy, pandas, scikit‑learn, SciPy (sparse), joblib, CLI (argparse), and data visualization (matplotlib/seaborn)
  • Modeling (Unsupervised): Practical experience with MiniBatchKMeans/KMeans, DBSCAN, TruncatedSVD/PCA, cluster evaluation (silhouette, CH, DB), and stability/bootstrapping
  • Data engineering and Oracle: Writing performant SQL; using SQLAlchemy and oracledb for reads/writes; creating tables/DDL; batch inserts; column/type normalization
  • ETL pipelines: Feature engineering over large volumes with chunked processing, environment‑aware configs (.env), robust logging, and CSV/DB outputs
  • APIs and integration: Batch prediction flows via REST (e.g., httpx client) and schema‑compatible exports
  • Version control and CI/CD: Proficient with Git; familiarity with Jenkins/OpenShift pipelines and on‑prem deployment constraints
  • Experience in Healthcare domain with exposure to Fraud, Waste, and Abuse detection in pharmacy/claims, risk scoring thresholds, and audit support artifacts considered a strong asset
  • Experience with on‑prem, masked datasets and familiarity with Docker/OpenShift deployment patterns for ML APIs
Why Join Us
  • Competitive compensation, benefits and pension plan
  • Career development and advancement opportunities
  • A culture that celebrates innovation and collaboration
  • Flexible work options and wellness programs
Pre-Employment Requirements

All offers of employment are conditional upon the successful completion of reference checks and background verification in accordance with company policy. Within ESC, for certain positions, obtaining and maintaining a federal government security clearance is a bona fide occupational requirement. Candidates applying for such roles must meet all eligibility criteria for the applicable clearance level and consent to the security screening process as mandated by federal regulations. Failure to obtain or maintain the required clearance will result in withdrawal of the offer or termination of employment.

Our hiring process includes AI‑powered tools to conduct video interviews, take notes and score candidates; however, all scores will be reviewed by hiring managers and our Talent team before making a decision.

Express Scripts Canada is a Cigna company

Express Scripts Canada is a subsidiary of Express Scripts, a Cigna company. Cigna Corporation (NYSE: CI) is a global health service company dedicated to improving the health, wellbeing and peace of mind of those we serve. Cigna offers an integrated suite of health services through Cigna, Express Scripts, and our affiliates including medical, dental, behavioural health, pharmacy, vision, supplemental benefits, and other related products.

About Express Scripts Canada

Express Scripts Canada is a leading health benefits manager and has been recognized as one of the most innovative. Our clients include Canada's leading insurers, third party administrators and governments. We work with these clients to develop industry‑leading solutions to deliver superior healthcare in a cost‑controlled environment. We provide Active Pharmacy™ services to more than 7 million Canadian patients and adjudicate more than 100 million pharmacy, dental, and extended health claims annually. Through our proprietary consumer intelligence, clinical expertise, and patients‑first approach, we promote better health decisions for plan members, while managing and reducing drug benefit costs for plan sponsors.

It will be a condition of employment that the successful candidate obtains an Enhanced Reliability Clearance from the Federal Government. The candidate will be required to provide supporting documentation to receive clearance if required.

We offer a competitive salary and benefits package, along with a positive work environment built on solid corporate values, integrity, mutual respect, collaboration, passion, service and alignment.

We are an equal opportunity employer that promotes a diverse, inclusive and accessible workplace. By embracing diversity, we build a more effective organization that empowers our employees to be the best that they can be.

We are committed to creating a working environment that is barrier‑free and we are prepared to provide accommodation for people with disabilities.

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