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Senior Machine Learning Software Engineer Jobs in Alberta

Exposure to machine learning model integration or building AI-powered product features is an asset ... engineering roles where asking the right questions shapes outcomes. At AppDirect, we believe that ...

... senior engineers. * Build and evolve data-import and ingestion workflows, including ingestion from ... software development experience * Hands-on experience with a strongly-typed, object-oriented ...

... senior engineers. * Build and evolve data-import and ingestion workflows, including ingestion from ... software development experience * Hands-on experience with a strongly-typed, object-oriented ...

Strong software engineering fundamentals and the technical depth to independently own complex areas ... Experience integrating machine learning, generative AI, or LLM‑based components into production ...

Senior DevOps Engineer

Calgary, AB · Remote

$85K - $110K/yr

We are looking for an experienced Senior DevOps Engineer for our client. This is a permanent ... Previous experience as a Software Engineer/Developer will be regarded highly. You Have: * 4+ years ...

Senior DevOps Engineer

Edmonton, AB · Remote

$85K - $110K/yr

We are looking for an experienced Senior DevOps Engineer for our client. This is a permanent ... Previous experience as a Software Engineer/Developer will be regarded highly. You Have: * 4+ years ...

Senior DevOps Engineer

Edmonton, AB · Remote

$85K - $110K/yr

We are looking for an experienced Senior DevOps Engineer for our client. This is a permanent ... Previous experience as a Software Engineer/Developer will be regarded highly. You Have: * 4+ years ...

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Senior Machine Learning Software Engineer information

What is the difference between Senior Machine Learning Software Engineer vs Data Scientist?

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

What are the key skills and qualifications needed to thrive as a Senior Machine Learning Software Engineer, and why are they important?

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a Senior Machine Learning Software Engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

What are some common challenges Senior Machine Learning Software Engineers face when deploying models to production?

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Alberta? For Senior Machine Learning Software Engineer jobs in Alberta, the most frequently searched job titles are:
Software Developer

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Posted 21 days ago


Job description

About AppDirect

Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture-one that enables you to Be Seen, Be Yourself, and Do Your Best Work.

About the team - Tackle

Tackle, a business unit of AppDirect, is the leading solution built to help software companies generate revenue through data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft.

Tackle serves more than 500 software companies-including CrowdStrike, HashiCorp, New Relic, and Snyk-from high-growth startups to the largest software companies in the world.

About You

You'll join a small, high-ownership team building the intelligence layer of Tackle's platform - turning machine learning models into real product experiences that customers use every day. Your day-to-day work spans the full stack: TypeScript on both the backend (Node.js) and frontend (React), running on AWS serverless infrastructure including Lambda, API Gateway, and DynamoDB. Because the team is small, you'll own meaningful portions of the product end to end, collaborating directly with a product manager and a data scientist to ship features that are highly visible across Tackle's customer base. You bring a growth mindset to your work - you're comfortable asking questions, learning new services quickly, and closing gaps through curiosity rather than waiting for perfect prior experience. You communicate clearly in a distributed team setting and take pride in writing code that is testable, maintainable, and ready for production.

What you'll do and how you'll have an impact

  • Build and maintain full-stack features on Tackle's propensity-to-buy product, exposing machine learning model outputs directly to customers through a React frontend and TypeScript/Node.js backend.
  • Design and implement serverless backend services using AWS-native tools such as Lambda, API Gateway, and DynamoDB.
  • Contribute to data pipeline work that moves and associates model outputs with the right users and accounts.
  • Take end-to-end ownership of features - from design through deployment - on a team where your contributions are immediately visible in production.
  • Collaborate daily with a product manager and data scientist to shape how AI-driven insights are surfaced in the product interface.
  • Participate in code reviews to uphold code quality standards and share knowledge across a small engineering team.

What we're looking for

  • 2+ years of professional experience building full-stack web applications, with working knowledge of both frontend and backend layers.
  • Professional experience with React and TypeScript (or strong proficiency in JavaScript/TypeScript with demonstrated readiness to work in a TypeScript-only codebase).
  • Hands-on experience deploying applications on AWS, particularly with serverless services such as Lambda, API Gateway, or DynamoDB.
  • Familiarity with data pipelines or moving/transforming data between systems (nice to have, but valuable given how the team operates).
  • Exposure to machine learning model integration or building AI-powered product features is an asset, not a requirement.
  • A strong sense of ownership, because on a team this small you will hold significant responsibility for product areas and need to drive work forward with limited direction.
  • Intellectual curiosity that leads you to understand how your code fits into the broader system - this matters because you'll work across the stack and alongside non-engineering roles where asking the right questions shapes outcomes.

At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities.

At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice

At AppDirect, AI tools may assist our recruitment team with administrative automations - always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy - all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com.