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Machine Learning Finance Jobs in Alberta (NOW HIRING)

Sidetrade

Legal Manager

Calgary, AB · On-site

Partner with Procurement and Finance to ensure appropriate risk allocation, service levels, data ... and machine learning models. * Contribute to risk assessments related to algorithmic decision ...

Capital Power

Sr. Analyst, Market Data

Calgary, AB · On-site

Post-secondary degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced ... Leverage AI and emerging analytical tools (e.g., Copilot, LLMs, machine learning libraries) to ...

Aerotek

CNC Operator

Calgary, AB · On-site

Operate CNC machinery to cut, form, and machine metal components according to specifications ... You will work on diverse custom projects, providing variety, continuous learning, and opportunities ...

Apply Early

Amrize

Sales Loader Operator

Edmonton, AB

May feed materials into machines, and transfer material from one location to another * Conducts pre ... Access to online learning platforms, financial educational assistance, and a culture that fosters ...

Amrize

Rock Truck Operator

Edmonton, AB

Operate equipment effectively to minimize carbon footprint of machinery. * Perform other duties as ... Access to online learning platforms, financial educational assistance, and a culture that fosters ...

Amrize

Journeyman Welder

Edmonton, AB

Perform welding repair and maintenance to production-related equipment, machinery, and structures ... Access to online learning platforms, financial educational assistance, and a culture that fosters ...

Amrize

Loader Operator

Calgary, AB

CA$35.82/hr

Physically fit with stamina to operate machinery in various weather conditions and extended hours ... Access to online learning platforms, financial educational assistance, and a culture that fosters ...

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All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Alberta

Machine Learning Finance information

See Alberta salary details

$22K

$115.8K

$214.5K

How much do machine learning finance jobs pay per year?

As of Jul 4, 2026, the average yearly pay for machine learning finance in Alberta is $115,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $158,000.00 per year, depending on experience, location, and employer.

What job makes $1,000,000 a year?

In the field of machine learning finance, highly senior roles such as Chief Data Officer or Quantitative Hedge Fund Manager can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, extensive experience, and expertise in algorithms, financial modeling, and programming tools like Python or R.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence or machine learning within finance or technology sectors, often involving advanced skills in data analysis, programming, and model development. Such roles may include AI research scientists, machine learning engineers, or senior data scientists, and usually require extensive experience, specialized certifications, and proficiency with tools like Python, TensorFlow, or cloud platforms.

Can machine learning be used in finance?

Machine learning is widely used in finance for tasks such as risk assessment, fraud detection, algorithmic trading, and portfolio management. Machine learning finance professionals develop models using programming languages like Python and tools such as TensorFlow or scikit-learn to analyze large datasets and improve decision-making processes.

What are the key skills and qualifications needed to thrive in the Machine Learning Finance position, and why are they important?

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What is the salary of ML in finance?

Machine Learning professionals in finance typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior roles or those with advanced skills in data analysis, programming, and financial modeling can earn higher salaries, often exceeding $200,000 with bonuses and incentives.

What are some typical challenges faced by professionals in Machine Learning Finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a Machine Learning Finance job?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are popular job titles related to Machine Learning Finance jobs in Alberta? For Machine Learning Finance jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Alberta look for? The top searched job categories for Machine Learning Finance jobs in Alberta are:
Machine Learning Finance jobs near you

Legal Manager

Sidetrade

Calgary, AB • On-site

Other

Medical, Life

Posted 12 days ago

Job description

We are seeking a proactive and business-oriented Legal Manager to join our growing Legal Team and support our global SaaS operations across the USA and Canada but also Europe, and Asia. This role plays a key part in enabling commercial growth, managing contractual risk, supporting privacy and AI regulatory compliance, and contributing to the modernization and automation of the legal function.

Sidetrade is an AI company, listed on Euronext Growth, on a mission to revolutionize the way enterprises unlock value from their customers leveraging its Order-to-Cash Intelligence platform and its Data Lake.

We're proud of our 38 nationalities and these diverse perspectives drive our innovation, one team culture and a customer-first mindset. Sidetrade is positioned as a Gartner Magic Quadrant Leader since 2022.

We value passion over perfection. So, if you're eager to learn and bring great energy, we want to hear from you. Be you. Grow with us. 

Curious about Sidetrade? Catch theSidetrade Inside Out podcast. 

Requirements

What you'll be doing:

  • Draft, review, and negotiate a wide range of customer-facing commercial agreements, including: SaaS subscription agreements, Statements of Work (SOWs, Partnership Agreements and NDAs.
  • Support Sales and Account Manager teams across multiple regions to facilitate efficient deal execution.
  • Develop and maintain contract templates, fallback positions, and negotiation playbooks.
  • Provide pragmatic legal advice balancing risk management and commercial objectives.
  • Draft, review, and negotiate supplier and third-party agreements, including: Technology and cloud service provider agreements, Professional services and consulting contracts
  • Partner with Procurement and Finance to ensure appropriate risk allocation, service levels, data protection, and liability protections.
  • Support vendor governance processes, renewals, and ongoing contractual compliance across jurisdictions.
  • Support the implementation and monitoring of the company's privacy compliance framework, with particular focus on: CCPA (California Consumer Privacy Act) and PIPEDA (Canada).
  • Contribute to broader international privacy compliance efforts (e.g., GDPR and other applicable frameworks).
  • Review and negotiate Data Processing Agreements (DPAs) and privacy-related contractual provisions.
  • Partner with Security and Product teams to ensure alignment between contractual commitments and technical practices.
  • Assist with privacy risk assessments, internal policies, and incident response processes.
  • Monitor and support compliance with emerging AI-related regulations, including: EU AI Act (where applicable) U.S. federal and state AI regulations, Canadian AI and data governance frameworks.
  • Partner with Product and Engineering teams to assess legal risks related to AI-enabled features and machine learning models.
  • Contribute to risk assessments related to algorithmic decision-making and automated processing.
  • Support internal stakeholders in maintaining and strengthening the company's compliance posture in connection with key security and trust frameworks, including: ISO 27001 certification, SOC 1 and SOC 2 reports (Type I & Type II), Contribute to the structuring and scaling of the Legal Team.
  • Support the automation of legal processes and tools, including: Contract lifecycle management (CLM) systems, Template automation, Workflow optimization and Legal knowledge management.
  • Identify and assess legal risks associated with commercial, technological, and operational activities.
  • Provide clear, actionable guidance to internal stakeholders across departments and regions.
  • Manage external counsel relationships where specialized advice is required.
  • Support dispute resolution and pre-litigation matters when necessary.
  • Support the management of the company's insurance programs, including coordination with brokers and internal stakeholders on coverage matters (e.g., professional liability, cyber insurance, D&O).

What you'll bring :

Required

  • Law degree and qualification to practice law in Canada or another relevant jurisdiction.
  • 5/7+ years of experience in commercial law, ideally within a SaaS or technology-driven company.
  • Strong experience negotiating both customer and supplier contracts in a B2B environment.
  • Demonstrated knowledge of privacy regulations (CCPA, PIPEDA) and familiarity with emerging AI regulatory frameworks.
  • Fluent in English and French would be highly desirable.
  • Ability to operate independently while collaborating effectively in a cross-functional, international environment.

Preferred

  • Prior in-house experience in a high-growth SaaS environment.
  • Exposure to AI governance, technology risk, or digital regulatory compliance.
  • Experience supporting multi-jurisdictional operations (Americas, Europe, Asia).
  • Knowledge of French law would be considered an asset.
  • Experience with CLM platforms and legal automation tools.

Skills & Attributes

  • Strong drafting and negotiation skills.
  • Business-oriented mindset with a pragmatic and solution-driven approach.
  • Ability to clearly communicate complex legal and regulatory concepts to non-legal stakeholders.
  • High level of autonomy, organization, and adaptability.
  • Interest in legal innovation and process optimization.
  • Comfortable working in a remote and dynamic global environment.

Benefits

  • Premium office facilities- including a free health club membership, basketball court, golf simulator, food trucks, tenant lounge & bar, bike storage, and more!
  • Hybrid work model - a flexible mix of in-office and remote days.
  • Great culture - active Social Club organizing regular team events and activities.
  • Health & wellness - medical coverage, life insurance, and other wellness programs.
  • Time off - competitive paid holidays plus public holidays. 
  • Career growth & compensation - competitive salary, equal opportunities, learning & mentorship programs, and advancement support.

 Because when you thrive, we all succeed! 

We're committed to providing a welcoming and inclusive experience for every candidate If you need any accommodation during the hiring process, just let us know. 

Agencies 

We only accept applications from invited agencies via our Workable portal. Unsolicited CVs sent to managers or HR won't be subject to fees. 

Apply