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Python Ml Developer Jobs in Vancouver, BC (NOW HIRING)

... Azure DevOps. Ability to leverage cloud-native tools to build scalable and secure ML workflows ... Advanced programming skills in Python, with practical experience using popular machine learning ...

Act as a subject-matter expert in AI/ML design discussions, ensuring all customer data is secure ... Possess commercial software development experience with Python, cloud platforms (Google Cloud ...

Job Requisition ID # 25WD94058 25WD94058, Software Architect, AI/ML L'affichage de poste en ... Python/TypeScript/Java with strong engineering fundamentals (testing, code quality, performance ...

As a Machine Learning Engineer Lead, you will join our Data Science & AI Pod, focused on designing ... quality Python code, APIs, automation workflows, and machine learning services to integrate ML ...

New

Collaborate with ML engineers and data scientists to define, propose, and validate candidate ... Practical scripting ability for attack simulation and PoC generation (Python required; PowerShell ...

Showing results 21-40

Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Vancouver, BC?

For Python Ml Developer jobs in Vancouver, BC, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Vancouver, BC look for?

The top searched job categories for Python Ml Developer jobs in Vancouver, BC are:

Infographic showing various Python Ml Developer job openings in Vancouver, BC as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 6% Part Time, and 7% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution.

Development Manager - AI/ML Solutions

Fortinet, Inc.

Burnaby, BC

CA$110K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Job description

We are seeking an experienced Development Manager to lead the design, development, and integration of AI/ML-driven solutions into FortiAnalyzer, enhancing its security analytics and automation capabilities. This role requires a strong background in AI/ML model development, security data analysis, and software engineering, as well as leadership experience in managing development teams.

Key Responsibilities

  • Lead the development and integration of AI/ML-powered features into FortiAnalyzer, focusing on security analytics, anomaly detection, and automated threat response.
  • Manage and mentor a team of software developers and data scientists, ensuring the successful delivery of AI/ML solutions.
  • Oversee the entire AI/ML pipeline, including data collection, preprocessing, model training, deployment, and performance optimization.
  • Collaborate with security experts, product managers, and cross-functional engineering teams to align AI/ML initiatives with business and product goals.
  • Ensure the scalability, reliability, and security of AI/ML solutions in a production environment.
  • Stay up to date with AI/ML advancements, security threats, SIEM/SOAR trends, and industry best practices to drive innovation.

Basic Requirements

  • Bachelor's or higher degree in Computer Science, AI/ML, Data Science, or a related field.
  • Hands-on experience in AI/ML model development, training, and deployment for real-world applications.
  • Strong background in data science or data engineering, including data processing, feature engineering, and model optimization.
  • Proficiency in Python, scikit-learn, TensorFlow/PyTorch, and data processing frameworks.
  • Work experience in security data analysis, SIEM (Security Information and Event Management), or SOAR (Security Orchestration, Automation, and Response).
  • Proven experience leading and managing a development team to deliver AI/ML solutions integrated into a product.

Bonus Skills

  • Experience with C/C++, GO, Java or Scala for performance-critical applications.
  • Experience working with log analytics, cybersecurity, and Fortinet security solutions.
  • Knowledge of database, data warehouse and data lakehouse.
  • Knowledge of big data processing frameworks such as Apache Spark, Hadoop.

The Canada base salary range for this full-time position is expected to be between $110,000 - $150,000 annually.  Wage ranges are based on various factors including the labour market, job type, and job level.  Exact salary offers will be determined by factors such as the candidate's subject knowledge, skill level, qualifications, and experience.

Fortinet strives to provide you and your family with a comprehensive benefits package. Benefits eligibility starts on your first day of hire and comprises of 100% company paid medical, dental, and vision coverage, including a Health Spending Account and a Personal Spending Account that gives you flexibility to spend where you need it the most. Our Employee & Family Assistance Plan (EFAP) offers you and your family access to various services like counseling, legal advice, mental health resources etc. We also provide critical illness, disability, and life insurance, as well as a Group Registered Retirement Savings Plan (RRSP) with a company match to help you save faster for retirement. We offer competitive Paid Time Off and flexible leave policies, including paid health days, to help you take care of yourself and your family members.

All roles are eligible to participate in the Fortinet equity program.  Bonus eligibility is reviewed at time of hire and annually at the Company's discretion.

Why Join Us:
We encourage candidates from all backgrounds and identities to apply. We offer a supportive work environment and a competitive Total Rewards package to support you with your overall health and financial well-being. Embark on a challenging, enjoyable, and rewarding career journey with Fortinet. Join us in bringing solutions that make a meaningful and lasting impact to our 660,000+ customers around the globe.

Fortinet (NASDAQ: FTNT) secures the largest enterprise, service provider, and government organizations around the world. Fortinet empowers its customers with intelligent, seamless protection across the expanding attack surface and the power to take on ever-increasing performance requirements of the borderless network - today and into the future. Only the Fortinet Security Fabric architecture can deliver security without compromise to address the most critical security challenges, whether in networked, application, cloud or mobile environments. Fortinet ranks number one in the most security appliances shipped worldwide and more than 500,000 customers trust Fortinet to protect their businesses.

We are committed to providing reasonable accommodations for all qualified individuals with disabilities. If you require assistance or accommodation due to a disability, please contact us at accommodations@fortinet.com.
 
Fortinet is an equal opportunity employer. We value diversity in our company, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, military/veteran status or any other applicable legally protected characteristics in the location in which the candidate is applying.