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Model Jobs in Edmonton, AB (NOW HIRING)

Developing enterprise grade Power BI / Analysis Services semantic models. Optimizing existing ETL process and data transformations. Create technical documentation for solutions that have been built.

Lead the iterative development, validation, and deployment of AI/ML models across the organization, ensuring continuous improvement and scalability * Drive the development and deployment of ...

D365 CE Developer Support

Edmonton, AB ยท On-site

$100 - $105/hr

Develop solutions using Power Platform tools such as Model-Driven Apps, Power Automate, Dataverse, and Power BI. Design and support integrations with enterprise systems using APIs and Microsoft ...

Showing results 21-40

Model information

See Edmonton, AB salary details

$5

$46

$193

How much do model jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for model in Edmonton, AB is $46.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $62.74 per hour, depending on experience, location, and employer.

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

How much money do models get paid?

Model salaries vary widely based on experience, type of modeling, and market. Fashion models may earn from a few hundred to thousands of dollars per day, while commercial and promotional models typically earn less. Payment can be hourly, daily, or per project, and many models also receive additional compensation such as commissions or royalties.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or open casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with maintaining good health and grooming standards.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

What are the key skills and qualifications needed to thrive as a model, and why are they important?

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.

How to get a career in modeling?

To start a career in modeling, individuals typically build a portfolio with professional photos, gain experience through local auditions or open calls, and seek representation from modeling agencies. Physical appearance, confidence, and good communication skills are important, and maintaining a healthy lifestyle can enhance prospects. Success often requires persistence and networking within the industry.
What are the most commonly searched types of Model jobs in Edmonton, AB? The most popular types of Model jobs in Edmonton, AB are:
What cities near Edmonton, AB are hiring for Model jobs? Cities near Edmonton, AB with the most Model job openings:
Infographic showing various Model job openings in Edmonton, AB as of August 2026, with employment types broken down into 75% Full Time, and 25% Temporary. Highlights an 100% In-person job distribution, with an average salary of $97,255 per year, or $46.8 per hour.

Junior Machine Learning Engineer - Alerts Team

Samdesk

Edmonton, AB โ€ข On-site, Remote

Full-time

Re-posted 23 days 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 ML Engineer on the Alerts Team plays a pivotal role in the intelligence layer that powers Samdesk's automated alert pipeline - converting raw unstructured text to actionable crisis intelligence. You will own the quality of the output of our data pipeline. What does this mean? You will own the design and implementation of AI agents, 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 Alerts Team and collaborates closely with features, infrastructure, and product teams.


Responsibilities

Model Development & Fine Tuning

  • Design, build, and deploy ML models across the full lifecycle, from designing the ML architecture through error analysis and deployment
  • Fine-tune and adapt LLMs using domain-specific alert data, including dataset curation, supervised fine-tuning, preference optimization, evaluation, and safe production rollout
  • Upgrade models to newer versions, ensuring each new version measurably outperforms the last
  • Work hands-on with Python ML libraries such as PyTorch, TensorFlow, Hugging Face, and XGBoost
  • Collaborate with data and engineering teams to build scalable ML pipelines
  • Contribute to data labeling strategies, feature engineering, and model evaluation frameworks

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
  • Monitor and report on model performance, drift, and inference latency in production

Technical Excellence

  • Attention to detail and problem-solving aptitude
  • Set the bar for code and model quality through rigorous review of code, experiments, and evaluation results, and through mentorship
  • Champion reproducibility through experiment tracking, versioned datasets, and robust evaluation so models and systems can be safely iterated on
  • Decompose complex requirements into accurate effort estimates


Qualifications & Skills

Required

  • 2+ years of professional experience in a machine learning or applied ML engineering role
  • Familiarity with NLP, text classification, or information retrieval (a strong asset given our domain)
  • Comfort working with large, noisy, real-world datasets
  • Demonstrated experience building and operating AI agents or LLM-powered systems in production
  • Hands-on experience with OpenAI and/or Anthropic APIs, including tool use, streaming, and prompt management
  • Experience evaluating the outputs of ML components (ie precision and recall)

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 news, media monitoring, or open-source intelligence (OSINT)
  • Solid working knowledge of AWS services (S3, SQS, CloudWatch) and ML infrastructure such as GPU-based inference, or vector databases

You'll Thrive Here If

  • You bring genuine intellectual ownership to the systems you build and 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 have a bias towards action and don't require a 'playbook' to get things done.


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!