ZipRecruiter

Log In

2

Remote Cyber Security Machine Learning Jobs in Calgary, AB

Fullscript

Staff, Machine Learning Engineer

Calgary, AB · On-site +1

The Opportunity We're hiring a Staff Machine Learning Engineer to join our AI team and help shape ... Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred ...

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Preferred based in Calgary, but could be a fully remote position Benefits Compensation: Annual ...

DataVisor

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Preferred based in Calgary, but could be a fully remote position Benefits Compensation: Annual ...

atVenu

Manager, Privacy & Compliance

Calgary, AB · Remote

Remote, in Canada: preference will be given to Calgary based applicants. Salary Range: $120,000 ... Assess the privacy implications of AI and machine learning systems at every stage, from evaluating ...

TELUS

Manager AI

Calgary, AB · On-site +1

Deep technical knowledge and 3+ years of experience in deploying AI and machine learning solutions ... Anywhere in Canada (hybrid or fully remote work arrangement) * Collaboration : Work with experts in ...

Fullscript

Cloud Security Engineer

Calgary, AB · Remote

CA$100K - CA$110K/yr

Strengthen IAM, secrets management, key rotation, cloud credentials, machine identities, and just ... Continuous learning opportunities to grow your skills and career Fullscript shares salary ranges to ...

All JobsRemote Cyber Security Machine Learning JobsRemote Cyber Security Machine Learning Jobs in Calgary, AB

Remote Cyber Security Machine Learning information

What is the difference between Remote Cyber Security Machine Learning vs Remote Cyber Security Analyst?

AspectRemote Cyber Security Machine LearningRemote Cyber Security Analyst
Required CredentialsCertifications in cybersecurity and machine learning (e.g., CISSP, CompTIA Security+, Python, ML certifications)Certifications in cybersecurity (e.g., CISSP, CompTIA Security+)
Work EnvironmentFocus on developing algorithms, analyzing data, and automating security processesMonitoring security alerts, investigating incidents, and implementing security measures
Employer & Industry UsageTech companies, cybersecurity firms, organizations leveraging AI for securityOrganizations across industries needing security monitoring and incident response

Remote Cyber Security Machine Learning specialists develop AI-driven security tools, while Remote Cyber Security Analysts focus on monitoring and responding to threats. Both roles require cybersecurity knowledge, but the former emphasizes data analysis and machine learning skills, whereas the latter concentrates on security operations and incident management.

What is a Remote Cyber Security Machine Learning job?

A Remote Cyber Security Machine Learning job involves using machine learning techniques to detect, prevent, and respond to cyber threats, all while working from a remote location. Professionals in this role develop and deploy algorithms that can identify patterns of malicious activity, automate threat detection, and enhance security protocols. They work with large datasets, collaborate with security teams, and continuously update models to address emerging threats. This position combines expertise in both cyber security and machine learning, making it critical for modern, data-driven security operations.

How does a Remote Cyber Security Machine Learning professional typically collaborate with cross-functional teams?

As a Remote Cyber Security Machine Learning professional, you'll often work closely with cybersecurity analysts, data engineers, and IT staff to design, implement, and refine machine learning models that detect and prevent threats. Collaboration happens primarily through virtual meetings, shared documentation, and project management tools, ensuring that everyone stays aligned despite geographic distances. Clear communication and proactivity are key, as you'll need to translate complex machine learning concepts into actionable insights for team members with varying technical backgrounds. Regular updates and feedback loops help ensure that models are robust, effective, and aligned with organizational security goals.

What are the key skills and qualifications needed to thrive as a Remote Cyber Security Machine Learning Specialist, and why are they important?

To excel in a Remote Cyber Security Machine Learning role, you need a strong background in computer science, cybersecurity principles, and machine learning algorithms, typically supported by a relevant degree and experience. Familiarity with tools like Python, TensorFlow, PyTorch, and security platforms such as SIEM systems, along with certifications like CISSP or CEH, is often required. Excellent analytical thinking, problem-solving skills, and clear remote communication set top performers apart. These abilities are crucial for proactively identifying and mitigating threats using advanced AI techniques while collaborating effectively in distributed teams.
What are popular job titles related to Remote Cyber Security Machine Learning jobs in Calgary, AB? For Remote Cyber Security Machine Learning jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Remote Cyber Security Machine Learning jobs in Calgary, AB look for? The top searched job categories for Remote Cyber Security Machine Learning jobs in Calgary, AB are:
Remote Cyber Security Machine Learning jobs near you

Staff, Machine Learning Engineer

Fullscript

Calgary, AB • On-site, Remote

Full-time

Retirement, PTO

Posted 10 days ago

Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

We're hiring a Staff Machine Learning Engineer to join our AI team and help shape the next generation of Fullscript's AI-powered experiences. You'll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

This is a senior individual contributor role for someone who can go beyond implementation. In addition to building high-quality systems, you'll help define technical direction, guide architecture decisions, and identify where AI can create meaningful value in clinical workflows. You'll work with a high degree of autonomy and partner closely with engineering, product, analytics, and medical stakeholders to deliver scalable, reliable, and clinically useful AI experiences.

What you'll do
  • Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context
  • Own backend services in Python that integrate LLM agents with Fullscript's platform and support reliable production use
  • Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows
  • Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality
  • Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control
  • Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities
  • Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases
  • Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team
  • Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript
What you bring to the table
  • 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows
  • A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions
  • Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production
  • Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks
  • Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability
  • Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems
  • Strong proficiency in Python and SQL
  • Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems
  • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders
Bonus if you have
  • Experience defining technical direction for AI or machine learning systems across multiple projects or teams
  • Experience building clinician-facing, healthcare-adjacent, or other high-trust AI experiences
  • Experience with recommendation systems, personalization, or other applied ML systems beyond LLMs
  • Experience with modern retrieval, grounding, or evaluation patterns for LLM applications
  • Experience working closely with domain experts to build systems in complex or highly contextual problem spaces
What we can offer you
  • Competitive Salaries
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career

Fullscript shares salary ranges to support transparency and help candidates make informed decisions. The range shown reflects base salary only and does not include stock options, wellness stipends, or other benefits that are part of Fullscript's total rewards package.

Final compensation depends on experience, skills, and location. We review pay regularly to stay aligned with market data and internal equity. Benefits and total rewards may vary by region.

Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply