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Senior Machine Learning Engineer Jobs in Alberta

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ... senior level Systems Developer with a strong Java and data expertise to join our team and work ...

Silent-Aire is a technology driven company that designs, engineers and manufactures hyperscale ... Fabrication of piece parts as per schematic under supervision of a Team Lead/Supervisor/Senior ...

Silent-Aire is a technology driven company that designs, engineers and manufactures hyperscale ... Fabrication of piece parts as per schematic under supervision of a Team Lead/Supervisor/Senior ...

Silent-Aire is a technology driven company that designs, engineers and manufactures hyperscale ... Fabrication of piece parts as per schematic under supervision of a Team Lead/Supervisor/Senior ...

Silent-Aire is a technology driven company that designs, engineers and manufactures hyperscale ... Fabrication of piece parts as per schematic under supervision of a Team Lead/Supervisor/Senior ...

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 ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Alberta salary details

$45K

$165.3K

$248.5K

How much do senior machine learning engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for senior machine learning engineer in Alberta is $165,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,500.00 and $184,000.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Alberta? The most popular types of Machine Learning Engineer jobs in Alberta are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Alberta? For Senior Machine Learning Engineer jobs in Alberta, the most frequently searched job titles are:
Infographic showing various Senior Machine Learning Engineer job openings in Alberta as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,321 per year, or $79.5 per hour.

Senior Backend Engineer - Features Team

Samdesk

Edmonton, AB โ€ข On-site, Remote

Full-time

Posted 10 hours ago


Job description

Who We Are

Samdesk is a global disruption monitoring platform delivering real-time crisis alerts 24 hours a day, 365 days a year, powered by AI. We make sense of the world's most valuable real-time data sources with a singular purpose: to create a safer world. Headquartered in Edmonton, Alberta, Canada, with team members distributed around the globe, we work with some of the largest brands in the world - including DoorDash, Meta, Uber, Ford, and NATO. We are a growing team of builders and problem-solvers who are deeply passionate about the products and services we create.


Check us out!
www.samdesk.io


About the Role

The Senior Backend Engineer on the Features Team plays a pivotal role in building the apps and API's that our customers use to access Samdesk's automated alert pipeline data. You will be architecting and building the systems that bridge a firehose of data into customer relevant information.

You will own the design and implementation of our data pipeline and APIs, orchestrate the interplay between our LLMs and data pipeline, and build the internal tooling that our operations, ML, and product teams rely on daily. You will work at the intersection of large-scale data systems and cutting-edge AI infrastructure, and your decisions will have a direct impact on system reliability and the quality of alerts delivered to users around the world.


This role reports into the Features Team and collaborates closely with machine learning, infrastructure, and product.


Responsibilities

Pipeline & API Engineering

  • Implement and iterate on microservices and APIs consumed by the alert pipeline and samdesk applications
  • Add new data sources to the pipeline, ensuring correct parsing, enrichment, and routing
  • Identify and resolve bottlenecks in dataflow before they reach production
  • Design and document APIs for consumption by front-end teams and external integrations
  • Report on health of key system components

AI Agent Development & LLM Orchestration

  • Design and implement AI agents that coordinate LLM inference with our real-time data pipeline
  • Build and maintain the orchestration layer governing how language models interact with structured pipeline outputs
  • Integrate with OpenAI and Anthropic APIs, including prompt engineering, tool use, and response handling at scale
  • Ensure agent workflows are observable, testable, and fault-tolerant in production

Internal Tooling

  • Architect and deliver internal tools used by operations, ML, and QA teams to monitor, debug, and improve alert quality
  • Identify gaps in developer and analyst workflows and build solutions that meaningfully reduce toil

Technical Excellence

  • Contribute to the roadmap and participate in architectural decision-making
  • Set the bar for code quality through rigorous code review and mentorship
  • Ensure adequate test coverage across components so systems can be safely extended
  • Decompose complex requirements into accurate effort estimates

Qualifications & Skills

Required

  • 5+ years of professional software engineering experience with a strong backend focus
  • Expert-level proficiency in Node.js (TypeScript) and/or Python
  • Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
  • Deep experience designing and building scalable REST or GraphQL APIs
  • Experience with Docker and containerized application architecture
  • Expertise leveraging AI Coding tools

Nice to Have

  • Experience with real-time data pipelines or event-driven architectures
  • Familiarity with LLM evaluation frameworks, observability tooling, or RAG architectures
  • Background in safety-critical or high-availability systems
  • Demonstrated experience building and operating AI agents or LLM-powered systems in production
  • Solid working knowledge of AWS services: ECS, SQS, S3, CloudWatch
  • Production experience with MongoDB and Apollo GraphQL

You'll Thrive Here If

  • You bring genuine intellectual ownership to the systems you build - you think about them when you're not at your desk
  • You have strong opinions, loosely held. You argue for the right solution, not your solution
  • You've led architectural decisions in complex, fast-moving environments and know when to move and when to slow down
  • You can translate ambiguous product requirements into well-scoped technical plans without a playbook
  • You take production reliability personally and are proud about that time you took 7s down to 400ms


Samdesk is an equal opportunity employer committed to creating a safe, diverse and inclusive environment. We encourage qualified applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and education levels to apply. If you are contacted for an interview and require accommodation during the interviewing process, please let us know.


The position is based out of Edmonton, AB but we may also consider remote candidates. Please note that only candidates selected for the interview process will be contacted. Thank you!