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Added 1 hour ago
Machine Learning Engineer - Express Scripts Canada
Cigna Healthcare
Mississauga, ON
Full-time
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…
Added 1 hour ago
Cryptographic Systems Engineer (Post-Quantum)
SuperQubit Inc.
Markham, ON
Full-time
The platform is designed from the ground up for crypto agility and hybrid classical/PQC operation, in alignment with NIST and IETF transition guidelines.
Added 1 hour ago
Data Engineer
Infotek Consulting Inc.
Toronto, ON
Contract
Senior Analytics Engineer – Capital Markets Data
Added 2 hours ago
AI/ML Systems Engineer
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Ottawa, ON
Contract
Systems Engineer, AI-Powered Diagnostics & Observability
Added 7 hours ago
Senior Data Engineer - Palantir Foundry (Hybrid, Canada)
Unit8 SA
Remote, Canada
Full-time · Remote
…expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and…
Added 7 hours ago
Data Engineering, Cloud Migration & Platforms Engineer
General Motors
Markham, ON
Full-time
This role is categorized as hybrid. This means the successful candidate is expected to report to the Markham Elevation Centre or the Oshawa Elevation Centre at least three times per week.
Added 7 hours ago
Senior Data Engineer - Palantir Foundry (Hybrid, Canada)
Unit8
Montreal, QC
Full-time
…expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and…
Added 10 hours ago
Software Engineer - Open Data Platform (ODP)
Acceldata
Kitchener, ON
$70,000 to $100,000 CAD / year
Full-time
We are seeking a Software Engineer with at least 3 years of experience in distributed systems or data platform development. In this role, you will design, build, and scale components of the…
Added 11 hours ago
Senior AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
Full-time
Corporate IT is seeking an experienced Senior AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 11 hours ago
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
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Corporate IT is seeking an experienced Lead AI Engineer to design, develop, deploy, and support enterprise-grade Artificial Intelligence, Machine Learning, and Generative AI solutions on…
Added 15 hours ago
Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
Full-time
8+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
Added 15 hours ago
Software Engineer, Full-Stack - Agents Cross-FA
Superhuman
Toronto, ON
$125,000 to $130,000 CAD / year
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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time alongside in-person collaboration…
Added 16 hours ago
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Good knowledge with programming and/or scripting languages (Python, React/TypeScript, NodeJS, Bash)
Added 16 hours ago
Site Reliability Engineer II (AI Platform)
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Toronto, ON
As a Site Reliability Engineer II on the Serving Platforms team within Infrastructure Engineering, you will design, automate, and manage the core container stack and infrastructure powering…
Added 17 hours ago
Data Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on…
Added 17 hours ago
Software Engineer, Full-Stack - Agents Cross-FA
Superhuman
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$125,000 to $130,000 CAD / year
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Vancouver, BC
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Our current stack is C#, .NET and AWS, with Python and TypeScript picked up along the way for AI tooling
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Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 18 hours ago
Senior Data Integration Engineer
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn…
Added 19 hours ago
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Connor, Clark & Lunn Financial Group Ltd.
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Interested in joining one of Canada’s top-performing asset managers? We’re hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark &…
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AI Solutions Engineer
Connor, Clark & Lunn Financial Group Ltd.
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Interested in joining one of Canada’s top-performing asset managers? We’re hiring an AI Solution Engineer in our AI Solutions engineering team. You build the AI systems that Connor, Clark &…
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Toronto, ON · Montreal, QC · Sun Life Montreal Metcalfe
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As a Staff Security Engineer, Bot & Traffic Defence, you’ll collaborate with us to:
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Machine Learning Operations Engineer/Senior
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Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…
Added 20 hours ago
Senior Security Engineer - Cloud Security
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Cigna Healthcare

Machine Learning Engineer - Express Scripts Canada

Mississauga, ON, Canada

Pay: Pay Range: $115,000 - $125,000
Job type: Full-time
Workplace: Hybrid
Posting language: English
Posted: Sep 30, 2026

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Original job description

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

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.

NOTE: Internal candidates should apply before April 17, 2026.

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.

If you require accommodation in completing the online application process, please email: eschr2@express-scripts.com Do not email eschr2@express-scripts.com for an update on your application or to provide your resume as you will not receive a response.

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More about this job

Responsibilities

The Machine Learning Engineer will design, build, and operate data pipelines and ML services to detect unusual patterns in healthcare claims. They will also collaborate with business teams to interpret model outputs and ensure the performance and quality of applications.

Requirements

Candidates must have 5+ years of application development experience and 3-5 years of professional experience in data science or machine learning engineering. A bachelor's degree in a relevant field is required, along with proficiency in Python, SQL, and unsupervised modeling techniques.

Skills

Python
Machine learning
Data engineering
Oracle
SQL
FastAPI
Unsupervised learning
ETL pipelines
Scikit-learn
Pandas
NumPy
Data pipelines
API development
CI/CD
Git

Benefits

Competitive compensation
Benefits package
Pension plan
Career development opportunities
Wellness programs

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Engineering
Python
Oracle
SQLAlchemy
FastAPI
Unsupervised Learning
DBSCAN
KMeans
ETL
Data Pipelines
Healthcare
Fraud Detection
CI/CD
Jenkins
OpenShift
Docker
REST APIs
Scikit-learn
Pandas
NumPy
Agile
Data Science
Feature Engineering
Security Clearance

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