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Added 17 mins ago
S
AI Engineer
SandboxAQ
Canada
- Full-time
SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life…
Added 1 hour ago
PC
Senior Cloud Platform Lead, Senior Manager
PwC Canada
Ottawa, ON
- Full-time
…They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. Those in DevSecOps at PwC will focus on minimising software threats…
Added 1 hour ago
W
Sr AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve…
Added 1 hour ago
A
Full Stack Engineer
AKIERO
Canada
- Full-time
We’re looking for a Full Stack Engineer who enjoys turning business needs into well-built software. Someone who brings curiosity to a problem, takes pride in their work, and cares about the…
Added 2 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
- $85,000 to $110,000 CAD / year
- Full-time
…security. Our teams design and deliver advanced, mission-critical solutions that enhance national security, strengthen communities, and protect the people we…
Added 3 hours ago
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Lead Software Engineer
Jobgether
Canada
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Software Engineer based in Canada.
Added 3 hours ago
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Java Software Engineer
ProxyLink
Toronto, ON
- $100 to $105 CAD / hour
- Contract
…integration, and delivery of enterprise applications and digital solutions. The ideal candidate will combine strong hands-on software development expertise with technical leadership…
Added 3 hours ago
A
Demo Engineer
Ashby
Canada
- Full-time
…customizing and extending those templates, generating realistic demo data, tailoring environments for specific verticals and new markets, and making sure every feature is demoable before it…
Added 3 hours ago
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Lead Solution Engineer, ECS, Public Sector
Jobgether
Canada
- $138,600 to $185,360 CAD / year
- Full-time
…and next steps. Our partner is looking for a Lead Solution Engineer, ECS, Public Sector based in…
Added 3 hours ago
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Graduate Technical Consultant, Geotechnical Engineer
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Markham, ON · Vancouver, BC · Calgary, AB
- Full-time
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Added 3 hours ago
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FY27 Intern - Camera Design Implementation Intern - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our…
Added 3 hours ago
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FY27 Intern - Display Systems Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our…
Added 4 hours ago
WI
Intermediate Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Vancouver, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions.
Added 4 hours ago
WI
Intermediate Mechanical Engineer, Mission Critical Buildings
WSP in Canada
Vancouver, BC
- Full-time
With an unmatched breadth and depth of engineering, advisory and science-based expertise, our global minds unite to power local solutions.
Added 4 hours ago
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Senior Test Engineer
Actalent
Ottawa, ON · Nepean, ON
- $50 to $60 CAD / hour
- Contract
The Test Engineer supports new product introduction and manufacturing test for fiber optic lab test equipment within an Ottawa-based fiber optic lab and production test business unit. This…
Added 4 hours ago
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Senior Mechanical Engineer
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Oakville, ON
- Full-time
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Added 4 hours ago
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Innovation Hub Solution Engineer - Application Development
Microsoft
Toronto, ON · Goodwood, ON
- Full-time
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Added 4 hours ago
Q
FY27 Intern - Applied AI Engineering Intern (Hardware Systems) - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Qualcomm relentlessly innovates transforming businesses, enriching lives and fortifying societies. Our solutions are pivotal in crafting a smarter, interconnected world. Building on our…
Added 6 hours ago
PC
Senior Cloud Platform Lead, Senior Manager
PwC Canada
Toronto, ON
- Full-time
…They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing…
Added 6 hours ago
PC
Senior Cloud Platform Lead, Senior Manager
PwC Canada
Toronto, ON
- Full-time
…They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. Those in DevSecOps at PwC will focus on minimising software threats…
Added 6 hours ago
PC
Cloud Infrastructure Engineer, Senior Associate
PwC Canada
Toronto, ON
- Full-time
At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance,…
Added 7 hours ago
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Engineer in Training I Infrastructure Planning
Enbridge
Edmonton, AB · Calgary, AB
- Full-time
…crude oil and liquids transportation system. We are seeking an Engineer in Training I Infrastructure Planning to join our…
Added 7 hours ago
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Cybersecurity Engineer - IAM
lululemon
Vancouver, BC
- Full-time
As a Cybersecurity Engineer, you will own security engineering for specific systems and platforms, designing and implementing security controls that balance protection, performance, and…
Added 7 hours ago
R
Software Engineer
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Vancouver, BC
- Full-time
…vehicle charging. We are passionate about creating cutting-edge solutions that make a real impact on the world. If you are a talented and driven software engineer looking to make a…
Added 7 hours ago
PC
Senior Cloud Platform Lead, Senior Manager
PwC Canada
Ottawa, ON
- Full-time
…They enable the smooth functioning of networks, servers, and data centres to optimise performance and minimise downtime. In infrastructure engineering at PwC, you will focus on designing…

Zurich Canada

Machine Learning Engineer

Waterloo, ON, Canada

The salary range for this position is $92,3000- $151,400 CAD. · Full-time

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Job details

Pay: The salary range for this position is $92,3000- $151,400 CAD.
Job type: Full-time
Apply by: Nov 19, 2026
Experience: As part of a leading global organization, Zurich North America has over 148 years of experience managing risk and supporting resilience.
Posting language: English
Posted: Oct 20, 2026

Original job description

The Opportunity

Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global insurance provider in the world? Look no further than Zurich Canada.

If you have experience in machine learning, artificial intelligence or ML/AI engineering and are looking for a new challenge, we would love to hear from you.

Zurich Canada is expanding its AI Engineering capability and is looking for Machine Learning / AI Engineers to design, develop and operationalize scalable AI and machine learning solutions.

This posting covers four positions across multiple experience levels, including Junior, Intermediate and Senior opportunities. Candidates will be considered for the appropriate level and specialization based on their experience, technical depth, demonstrated capabilities and scope of responsibility.

You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI opportunities into secure, reliable and production-ready solutions.

This is a unique opportunity to build your knowledge and experience for the future in a supportive environment where your voice matters.

What you will do

Areas of Specialization

Candidates may align with one area; experience across all four is not expected.

Machine Learning Engineer - Applied AI

Build/productionize predictive ML/AI: classification, regression, forecasting and clustering.
Build feature pipelines; establish training, validation/testing and bias/fairness testing.
Evaluate models; move experiments to production and optimize inference.
Assess approved A/B, shadow or controlled pilots; monitor data quality, performance/drift and troubleshoot production issues.
Document assumptions, limitations, versions, training-data references and approvals.

Relevant experience: statistical ML; scikit-learn, PyTorch, TensorFlow, XGBoost, LightGBM or CatBoost; feature engineering; model evaluation; time-based validation; leakage prevention; imbalanced datasets; calibration; experiment tracking; batch/real-time inference.

Machine Learning Engineer - Generative AI

Engineer, evaluate and productionize enterprise GenAI using foundation models, retrieval and agentic patterns.
Build LLM services and RAG pipelines covering ingestion, parsing, cleaning, chunking, embeddings, indexing/retrieval.
Evaluate keyword, semantic-vector/hybrid search, filtering/reranking; design prompts, structured outputs/context management.
Improve groundedness through retrieval quality, grounding checks, citations, abstention and human review.
Build controlled agentic workflows/tool integrations; evaluate retrieval, answers, safety, agent behaviour/business outcomes.
Monitor quality, groundedness, safety, latency, reliability/cost; apply access-aware retrieval, sensitive-data controls and prompt-injection defences.
Maintain auditable model, prompt, data, index and evaluation records.

Relevant experience: Azure OpenAI or comparable platforms; RAG; embeddings; vector indexes; BM25; semantic/hybrid search; retrieval/LLM evaluation; prompt engineering; FastAPI; LangGraph, LangChain, Semantic Kernel, Langfuse or OpenTelemetry.

Machine Learning Engineer - Data & ML Platforms

Build/operate enterprise-scale data, feature and engineering foundations for ML/AI.
Develop training and batch/real-time inference pipelines, reusable feature frameworks and batch/streaming components.
Optimize Spark/distributed processing; build secure data-platform/AI interfaces and reusable libraries/templates.
Implement ML dataset quality monitoring; support feature management, lineage/reproducibility.
Engineer large-scale structured/unstructured data; deploy, monitor and troubleshoot production ML data pipelines.

Relevant experience: Databricks, Spark/PySpark, Delta Lake, Python, SQL, batch/streaming architectures, feature management, data-quality testing, lineage, cloud storage/compute, CI/CD and infrastructure as code.

MLOps Engineer

Build/operate platforms, automation and controls across the ML/AI lifecycle.
Design CI/CD for models/AI applications; establish model registration, versioning, lineage/promotion.
Build reproducible training/deployment environments; support staged releases, shadow deployments/rollback.
Monitor health, latency, data quality, model performance/drift; develop retraining/redeployment workflows with validation/approvals.
Manage ML infrastructure/configuration; implement access controls, audit trails/governance evidence and reusable MLOps standards.

Relevant experience: MLflow, Databricks, Azure Machine Learning, Azure DevOps, GitHub Actions, Python, REST APIs, Docker, Kubernetes, Terraform, model registries and production observability.

What you bring to the table

Across the AI Engineering practice, relevant qualifications include:

Python and SQL skills.
Software engineering fundamentals including Git, APIs, testing and CI/CD.
Understanding of ML concepts and the model-development lifecycle.
Experience with data processing and analytical workloads.
Experience in cloud-based development environments.
Understanding of reliable, maintainable, production-ready solutions.

Depending on your specialization, the following are assets:

Databricks, MLflow and Apache Spark/PySpark.
Microsoft Azure or equivalent AWS/Google Cloud technologies.
Azure DevOps or GitHub.
Docker and containerized applications.
REST APIs.
scikit-learn, PyTorch, TensorFlow or comparable ML/deep-learning frameworks.
Azure OpenAI or comparable managed AI platforms.
RAG, embeddings, retrieval and LLM evaluation.
Infrastructure as code, Kubernetes and production observability.
Security, privacy, Responsible AI and model governance in a regulated environment.

Experience Levels

Junior

Work on defined ML/AI engineering tasks with guidance.
Write reliable Python and SQL.
Develop/test components within established architecture and engineering patterns.
Understand core ML and software-engineering practices.
Participate in code reviews and troubleshooting.
Learn Zurich's AI engineering, security and governance standards.

Intermediate

Independently design/deliver ML/AI components and solutions.
Own development through production implementation.
Make appropriate engineering and technology choices.
Troubleshoot complex data, model and production issues.
Contribute to architecture and engineering standards.
Mentor junior team members.
Work with stakeholders to refine technical requirements.

Senior

Lead design/engineering of complex enterprise AI/ML solutions.
Make architecture and technology decisions.
Establish reusable patterns and engineering standards.
Lead production-readiness, scalability, reliability and security decisions.
Mentor engineers and provide technical leadership.
Drive engineering excellence through design/code reviews.
Partner with architecture, security, governance and business leadership.
Evaluate emerging AI technologies and appropriate enterprise adoption patterns.

Compensation

At Zurich Canada, we are committed to pay equity. We determine compensation based on objective criteria such as skills, experience, and internal equity. The salary range for this position is $92,3000- $151,400 CAD.

Our Culture

At Zurich, we are proud of our culture. We are passionate about Diversity, Inclusion, Equity and Belonging (DIEB). We want you to bring your whole self to work, and we want our employees to be reflective of the communities in which we live and work.

We value diverse perspectives and foster a collaborative environment where employees are empowered to make an impact. We offer a comprehensive rewards package designed to support employee well-being, growth, and success.

Comprehensive health and wellness benefits.
Minimum four weeks of vacation annually.
Four personal days each year to support personal, cultural, religious, or well-being needs.
Access to ongoing learning and development opportunities.
Opportunities to support and give back to our communities.
Recognition as one of Greater Toronto's Top Employers and recipient of Insurance Business Canada's 5-Star Diversity, Equity and Inclusion Award.

Make a difference. Be challenged. Be inspired. Be supported. Love what you do. Work for us.

A future with Zurich

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 148 years of experience managing risk and supporting resilience. We are a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. Today, we serve more than 25 industries, from agriculture to technology and insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, Zurich strives to provide ongoing career development opportunities and foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our people, our customers and the communities we serve.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich is committed to providing a diverse, inclusive and barrier-free environment resulting in an accessible organization for employees, customers, and other parties who interact with, or on behalf of, Zurich. We strive to achieve a workplace free of discrimination of all forms, including discrimination on the basis of physical or mental disability, or medical condition. If you are interested in a job opportunity, please advise if you require an accommodation, so we can work with you to provide a more accessible process.

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich Canadian Holdings Limited. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Only applicable for Canada: For Zurich Canada's commitment to diversity and accessibility please click here. If you would prefer to not receive future electronic messages from Zurich Insurance Company Ltd's recruitment management system, please email your request to have your job profile deleted from the system by clicking here. Zurich Insurance Company Ltd 100 King St., W., Suite 5500, Toronto, ON, M5X 1C9. www.zurichcanada.com

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More about this job

Responsibilities

Design, build, and operationalize secure, scalable machine learning and AI solutions across applied ML, generative AI, data and ML platforms, or MLOps. Collaborate with engineering, data science, architecture, security, governance, and business teams to deliver reliable production systems and establish reusable engineering practices.

Requirements

Candidates should have Python and SQL skills, software engineering fundamentals such as Git, APIs, testing, and CI/CD, and an understanding of machine learning and its development lifecycle. Relevant experience in cloud environments, data processing, and production-ready solutions is expected, with specialization-specific tools and expertise considered assets.

Skills

Python
SQL
Machine Learning
Artificial Intelligence
Model Evaluation
Feature Engineering
Generative AI
Retrieval-Augmented Generation
Databricks
Apache Spark
MLflow
Azure Machine Learning
CI/CD
Docker
Kubernetes
Model Governance

Benefits

Health And Wellness Benefits
Minimum Four Weeks Of Vacation Annually
Four Personal Days Each Year
Learning And Development Opportunities
Community Support Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Machine Learning
Artificial Intelligence
Applied AI
Generative AI
Retrieval-Augmented Generation
Azure OpenAI
Databricks
Apache Spark
PySpark
Delta Lake
MLflow
Azure Machine Learning
Azure DevOps
GitHub Actions
Scikit-Learn
PyTorch
TensorFlow
XGBoost
FastAPI
LangChain
Semantic Kernel
Docker
Kubernetes
Terraform
CI/CD
Feature Engineering
Model Evaluation
Responsible AI

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