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Added 1 month ago
Senior AI / ML Engineer
MCI Careers
Canada
Other
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation…
Added 3 months ago
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
Full-time
Typically 5-10 years of relevant experience in AI Engineering, Machine Learning, Software Engineering, Data Engineering, or technical consulting.
Added 25 days ago
Senior Staff Machine Learning Engineer, Menu Personalisation
HelloFresh
Toronto, ON
Operate what you build, instrumenting and improving your systems in production because shipping is the beginning of the learning cycle, not the end of it.
Added 3 months ago
Senior Data Platform Engineer
Helcim Inc
Calgary, Alberta
Drive and own the advancement of Helcim’s MLOps and AI Gateway infrastructure, actively pushing these capabilities forward to support production AI and machine learning models.
Added 3 months ago
Senior Machine Learning Engineer, AI Generation Engine
SandboxAQ
Remote, Canada
$119,000 to $210,000 CAD / year
Full-time · Remote
SandboxAQ's AI Generation Engine (SAIGE) team is seeking a highly accomplished Machine Learning Engineer to take ownership of the end-to-end ML lifecycle, from initial data exploration and…
Added 16 days ago
Staff Software Engineer, Machine Learning Platform
Stripe
Toronto, ON
…tremendous amount of data makes Stripe one of the best places to do machine learning. While being an integral part of almost every product line at Stripe (e.g., Payments, Radar, Capital,…
Added 17 days ago
DevOps Engineer
Later
Vancouver, BC
We’re looking for a DevOps Engineer to help support and grow Later’s cloud infrastructure, DevOps practices, and emerging MLOps capabilities.
Added 4 months ago
AI Engineer - Remote
Huzzle
Remote, Canada
Full-time · Remote
We are looking for a skilled AI Engineer with at least 2 years of hands-on experience in developing, deploying, and optimizing AI and machine learning solutions. You will work closely with…
Added 4 months ago
Senior Software Engineer II
SurveyMonkey
Remote, Canada
$126,400 to $158,000 CAD / year
Full-time · Remote
The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement the secure, highly scalable, and high-performance pipelines that govern the…
Added 4 months ago
AI Engineer - Remote
Huzzle
Remote, Canada
Full-time · Remote
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You’ll work closely with product, engineering, and data…
Added 1 month ago
Senior AI Software Developer (Canada Remote)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Offsite/Home
Full-time
…AI-powered platforms that operate at scale, leveraging data, machine learning, and agentic systems to deliver intelligent, adaptive, and personalized experiences across our flagship…
Added 4 months ago
Senior Machine Learning Engineer
Index Exchange
Toronto, Ontario
Full-time
We’re looking for a Senior Machine Learning Engineer who can bring their depth and breadth of experience in applied data science and optimization at industry scale to help guide our…
Added 10 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 10 days ago
Sr. Data Scientist, Programmatic Algorithms
impact.com
Vancouver, BC
We're seeking a Senior Data Scientist to serve as an embedded Data Scientist within our Programmatic Experience Group. You'll own the design and deployment of machine learning models that…
Added 5 months ago
Senior Machine Learning Engineer
Loblaw Companies Limited
Toronto, Ontario
Full-time
We are seeking a Senior Machine Learning Engineer to join our team, focusing on the development, deployment and testing of advanced AI systems and sophisticated search agents. This role…
Added 5 months ago
Senior Machine Learning Engineer
BDO
Vancouver, British Columbia · Oakville, Ontario · Ottawa, Ontario · Toronto, Ontario
Full-time
BDO Digital is seeking an experienced and technically proficient Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical leadership with hands-on…
Added 5 months ago
Senior AI Engineer
ShyftLabs
Toronto, Ontario
Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 5 months ago
Artificial Intelligence Engineer
Precision AI
Calgary, Alberta
Full-time
The Artificial Intelligence Engineer at Precision AI will contribute to the design, development, and deployment of AI-driven solutions. This role focuses on building, training, and…
Added 5 months ago
Senior MLOps Engineer
Deep Genomics
Toronto, Ontario
Full-time
Join us in building the future of AI-driven drug discovery as a Senior MLOps Engineer. You will own and evolve the infrastructure that powers our ML pipelines – from cloud environments and…
Added 3 months ago
Lead AI Engineer
Altus Group
Toronto, Ontario
Full-time
Build scalable AI and ML practices. You will help establish standards, frameworks, and best practices for AI and machine learning
Added 1 month ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation,…
Added 3 months ago
Applied AI Engineer
Nexxa.AI
Remote, Canada
Full-time · Remote
…production-ready systems that leverage Generative AI, Computer Vision, and Machine…

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BDO

Senior Machine Learning Engineer

Vancouver, BC, Canada
Oakville, ON, Canada
Ottawa, ON, Canada
Toronto, ON, Canada

Pay: The expected range of compensation for this role is $84,000 to $128,000.
Job type: Full-time
Posting language: English
Posted: Apr 23, 2026

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Original job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters a people-first culture with a high priority on your personal and professional growth.

Your Opportunity

BDO Digital is seeking an experienced and technically proficient Senior ML Engineer to join our Technology Advisory Services practice. This role blends technical leadership with hands-on MLOps development, focusing on delivering scalable, secure, and production-grade machine learning pipelines using Azure and Databricks. The successful candidate will also lead client engagements, aligning ML initiatives with business objectives to create real-world impact.

Key Responsibilities

MLOps and Platform Development

Design and implement end-to-end MLOps pipelines using Databricks, MLflow, and related tools.
Build and manage scalable data and feature engineering pipelines in Databricks.
Automate model lifecycle processes including training, testing, deployment, and monitoring.
Implement CI/CD workflows using tools such as Azure DevOps or GitHub Actions.
Ensure operational reliability, performance, and compliance across all ML workflows.

Client and Delivery Management

Serve as a primary technical lead for client engagements focused on ML solution delivery.
Translate business goals into machine learning strategies and operational plans.
Collaborate with cross-functional teams to integrate models into production environments.

Machine Learning Application

Convert data science prototypes into robust, scalable ML solutions.
Apply appropriate ML algorithms to structured and unstructured data problems.
Evaluate model performance, run experiments, and iterate for improvement.
Document ML pipelines and contribute to internal knowledge sharing.

Qualifications

Required

Educational Background
A Bachelor’s or master's degree in computer science, Data Science, Engineering, or a closely related discipline. A strong academic foundation in algorithms, data structures, machine learning, and distributed systems is essential.
Professional Experience
A minimum of 5 years of hands-on experience in software engineering, data engineering, or DevOps, including at least 3 years of direct experience in MLOps or machine learning engineering roles. Proven success in deploying and maintaining machine learning solutions in production environments is expected.
In-depth knowledge of the Microsoft Azure ecosystem, with demonstrated experience using services such as Azure Machine Learning, Azure Data Lake, Azure Kubernetes Service (AKS), and Azure DevOps. Ability to leverage cloud-native tools to build scalable and secure ML workflows.
Very Strong proficiency with Databricks, including hands-on work with Delta Lake, MLflow, and Apache Spark. Experience integrating these tools into MLOps pipelines and optimizing performance and reliability in production.
Advanced programming skills in Python, with practical experience using popular machine learning libraries such as scikit-learn, TensorFlow, and/or PyTorch. Capable of building, tuning, and deploying ML models in real-world applications.
Solid understanding of CI/CD practices, with experience designing and maintaining pipelines using tools like GitHub Actions, Azure DevOps, or Jenkins. Familiarity with infrastructure-as-code tools such as Terraform or ARM templates for automating environment provisioning and deployment.
Excellent written and verbal communication skills, with the ability to effectively engage with a range of stakeholders, including data scientists, engineers, business partners, and executive leadership. Proven ability to explain technical concepts to non-technical audiences and influence decision-making.

Preferred

Certifications
Professional certifications such as Databricks Certified Professional or Microsoft Certified, e.g. Azure Solution Architect.
Strong knowledge of LLM frameworks and libraries (such as transformers, trl, deepspeed, PyTorch), and exposure to various ML techniques and their practical implementation in production at large scale.
Consulting experience and someone with excellent communication and client management skills

The expected range of compensation for this role is $84,000 to $128,000. This job posting is a pipelining exercise for upcoming engagements.

Why BDO?

Our people-first approach to talent has earned us a spot among Canada’s Top 100 Employers for 2026. This recognition is a milestone we’re thrilled to add to our collection of awards for both experienced and student talent experiences.

Our firm is committed to providing an environment where you can be successful in the following ways:

We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
We support your achievement of personal goals outside of the office and making an impact on your community.

Giving back adds up: Where company meets community. BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide flexible benefits from day one, and a market leading personal time off policy. We are committed to supporting your overall wellness beyond working hours and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts: We believe every employee should have the opportunity to participate and succeed. Through leadership by our Diversity, Equity and Inclusion Leader, we are committed to a workplace culture of respect, inclusion, and diversity. We recognize and celebrate the valuable differences among each of us, including race, religious beliefs, physical or mental disabilities, age, place of origin, marital status, family status, gender or gender identity and sexual orientation. If you require accommodation to complete the application process, please contact us.

Flexibility: All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It’s about creating work experiences that meet everyone’s needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada’s Privacy Policy can be found here: Privacy Policy | BDO Canada

Ready to make your mark at BDO? Click “Apply now” to send your up-to-date resume to one of our Talent Acquisition Specialists.

To explore other opportunities at BDO, check out our careers page.

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More about this job

Responsibilities

The Senior ML Engineer will design and implement end-to-end MLOps pipelines using Databricks and Azure while managing scalable data and feature engineering workflows. They will also serve as a technical lead for client engagements, translating business goals into robust machine learning strategies.

Requirements

Candidates must possess a bachelor's or master's degree in a relevant field and at least 5 years of experience in software, data, or DevOps engineering. Proficiency in the Microsoft Azure ecosystem, Databricks, and Python is essential, along with strong communication skills for client-facing roles.

Skills

MLOps
Azure
Databricks
Python
Machine learning
CI/CD
Azure DevOps
GitHub Actions
Delta Lake
MLflow
Apache Spark
TensorFlow
PyTorch
Scikit-learn
Terraform
Infrastructure-as-code

Benefits

Flexible benefits
Personal time off policy
Wellness reimbursement
Learning and development opportunities
Community involvement support

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Azure
Databricks
Python
Machine Learning
CI/CD
Azure DevOps
GitHub Actions
Delta Lake
MLflow
Apache Spark
TensorFlow
PyTorch
Scikit-learn
Terraform
ARM Templates
Azure Kubernetes Service
Data Science
Software Engineering
Data Engineering
Cloud-native
LLM Frameworks
Transformers
DeepSpeed
Consulting
Production-grade
Scalable
Algorithms
Distributed Systems
Technology Advisory

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