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Added 5 months ago
TA
Manager/ Sr. Manager - BI Consulting (Life Sciences/Pharma)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong SQL skills and hands-on experience with analytic tools like R & Python & visualisation tools like Power BI
Added 4 months ago
S
Embedded Software Engineer
Spaceium
Ottawa, Ontario
- $75,000 to $110,000 CAD / year
Write efficient and reliable firmware using C, C++, and Python
Added 5 months ago
F
Senior Software Engineer - Applied AI
Feathery
Remote, Canada
- $120,000 to $170,000 CAD / year
- Full-time
- Remote
Working across TypeScript services, Python APIs, React interfaces, and cloud infrastructure
Added 1 month ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 1 month ago
Sr. SDET
Dialpad
Kitchener, ON
As a Senior Software Developer in Test (SDET) in the Contact Center QA team, you're both a skilled developer who builds elegant, scalable test frameworks and a quality advocate who leads a…
Added 1 month ago
C
Lead Python AI Principal Engineer (Hands-On), SVP
Citi
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled, hands-on Lead Python AI Principal Engineer to join Citi in spearheading the design and development of cutting-edge AI platforms and services. This role…
Added 5 months ago
PC
AI Product Engineer, Games
Puzzle Cats
Remote, Canada
- Full-time
- Remote
Experience with Python or JavaScript, cloud infrastructure/back-end systems, and Git
Added 5 months ago
C
Bioinformatics Analyst
Calliere
Remote, Canada
- Full-time
- Remote
Proficiency in at least one scripting language commonly used in bioinformatics (e.g., Python or R), and familiarity with relevant scientific or data‑analysis libraries.
Added 5 months ago
O
Senior Software Engineer (Product)
Owl.co
Vancouver, British Columbia · Toronto, Ontario
- $150,000 to $250,000 CAD / year
- Full-time
Proficiency in programming languages such as Python, Java, or similar.
Added 5 months ago
K
Data Engineer
KUBRA
Mississauga, Ontario
- Full-time
Added 5 months ago
JA
Python Developer + Pricing
Jay Analytix
Montreal, Quebec
- Contract
We are seeking a Python Developer with experience in pricing models and banking systems to build, enhance, and support applications used for valuation, risk analysis, and trading. The role…
Added 5 months ago
Senior Cyber Security Analyst (Temporary)
First West
Langley (District), BC · Langley, BC
Experience with two or more scripting languages including Python and PowerShell
Added 5 months ago
Z
Software Engineer, Backend (All Levels)
Zip
Remote, Canada
- Full-time
- Remote
Experience with web application and API development in production environments. At Zip, our stack includes Python, Javascript, React, and GraphQL.
Added 5 months ago
F
Embedded Software Developer
Fortinet
Burnaby, British Columbia
- Full-time
As a software developer at Fortinet, you will:
Added 3 months ago
Développeur des opérations de négociation / Trade Operations Developer
Tower Research Capital
Montreal, Quebec
Solides compétences en développement de logiciels dans Python
Added 24 days ago
Principal Software Developer - FinOps
Zynga
Toronto, ON
Demonstrated proficiency with Python for data cleaning and data wrangling (pandas, NumPy), and ability to work with source code via pull requests, CICD pipelines, etc
Added 2 months ago
CC
Hardware Sustaining, Lead - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
Added 2 months ago
CC
Software Team Lead - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
Software test tools and methodologies as well as scripting tools and languages such as Python
Added 5 months ago
B
Senior Data Engineer (Databricks Focused)
BDO
Vancouver, British Columbia · Kitchener, Ontario · London, Ontario · Ottawa, Ontario · Toronto, Ontario
- Full-time
Advanced programming skills in Python and/or Scala, with practical experience using data engineering libraries and frameworks.
Added 5 months ago
B
Senior Machine Learning Engineer
BDO
Vancouver, British Columbia · Oakville, Ontario · Ottawa, Ontario · Toronto, Ontario
- Full-time
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…
Added 5 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Scripting experience with Bash and/or Python.
Added 1 month ago
Analyst ETF Services (m/f/d)
Solactive AG
Toronto, ON
Optimizing existing operational processes with Python.
Added 1 month ago
C
Senior Python AI Engineer (Hands-On), VP
Citi
Mississauga, ON
- Full-time
Citi's global AI platform team is seeking a versatile Senior Python AI Engineer to spearhead the design and development of cutting-edge Generative AI platforms. This role is a key driver in…
Added 1 month ago
C
Senior Python AI Engineer (Hands-On), VP
Citi
Remote, Canada
- Full-time
- Remote
Citi's global AI platform team is seeking a versatile Senior Python AI Engineer to spearhead the design and development of cutting-edge Generative AI platforms. This role is a key driver in…
Added 5 months ago
W
Software Engineer, Labelling, Data & Automation
Waabi
Toronto, ON
- $127,000 to $225,000 USD / year
- Full-time
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.

BDO

Senior Machine Learning Engineer

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

The expected range of compensation for this role is $84,000 to $128,000. · Full-time

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Job details

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

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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