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Added 36 mins ago
Machine Learning Engineer Intern
Jobright.ai
Canada
Internship
Familiarity with data structures, software development, and version control
Added 50 mins ago
Applied Scientist, Demand Tech Planning
Amazon Science
Toronto, ON
Full-time
…machine learning approaches including deep learning techniques, with insights delivered through agent-based tools and APIs that integrate seamlessly into user interfaces and programmatic…
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Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
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Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
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Added 13 hours ago
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Halifax, NS
Full-time
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Added 14 hours ago
Senior Product Security Engineer
Jobgether
Canada
Full-time
Experience with Python, Java, and/or JavaScript for security automation and tooling is an advantage.
Added 14 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
Proficiency in Python (or equivalent) for data analysis and ML model development, and strong SQL or equivalent skills for working with large structured production datasets
Added 15 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
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Added 15 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
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Added 15 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing…
Added 16 hours ago
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 16 hours ago
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
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Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 16 hours ago
Head of Machine Learning
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Vancouver, BC
$160,000 to $180,000 USD / year
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Added 17 hours ago
System Engineer
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ON · Ontario, Canada
Contract
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Experience with Python and common data science libraries (NumPy, Pandas, SciPy, or similar)
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Added 18 hours ago
Co-op Winter 2027 DevOps Engineering - 8-16 Months
General Dynamics Missions System International
Ottawa, ON
Internship
…defence operations. These positions provide hands-on experience with build systems, automated testing, tooling evaluation, and DevOps practices. Students gain exposure to critical software…
Added 18 hours ago
Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Apptoza Inc.
Toronto, ON
Contract
This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing…
Added 18 hours ago
AI Engineer
Tiger Analytics
Toronto, ON
Full-time
Proficiency in programming languages commonly used in AI (such as Python or Java) and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
Added 19 hours ago
System Engineer
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Ottawa, ON · Kanata, ON
Full-time
Collaborate with embedded, cloud, software, and AI/ML teams to deliver scalable solutions.

Jobgether

Senior Product Security Engineer

Canada

Pay: Base compensation range of £90,000–£122,000 GBP.
Job type: Full-time
Experience: 5–7+ years of experience in product, application, or cloud security engineering.
Posting language: English
Posted: Sep 25, 2026

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Original job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Security Engineer based in Canada

This role leads product security across an AI-native technology environment, with a strong focus on building secure, scalable, and trustworthy products. You’ll work closely with architecture, engineering, product, and compliance teams to embed security throughout the software development lifecycle. The position combines AI/ML security, secure architecture, threat modeling, automation, and customer-facing security assurance. You’ll help address emerging AI-specific risks while establishing practical security standards and governance frameworks. The role also offers the opportunity to influence architectural decisions, strengthen security culture, and mentor engineering teams. It is well suited to a senior security professional who enjoys solving complex problems at the intersection of product development, cloud, and AI.

Accountabilities

Architect and implement security controls for AI/ML systems, including model training, data pipelines, inference environments, and agentic workflows.
Identify and mitigate AI-specific threats such as prompt injection, data poisoning, model inversion, and model theft.
Establish controls for model provenance, integrity, auditability, and responsible AI security practices.
Align AI security initiatives with governance and compliance frameworks such as NIST AI RMF and the EU AI Act.
Embed security, privacy, and compliance requirements into application, cloud, software, and AI development lifecycles.
Define and maintain secure development standards, architectural guidance, and security best practices.
Lead threat modeling, secure design reviews, and risk assessments across the software development lifecycle.
Build security automation and governance capabilities that integrate naturally into engineering workflows.
Prepare customer-facing security assurance materials, including questionnaire responses, security whitepapers, and trust documentation.
Represent product security in customer, leadership, and cross-functional discussions, helping communicate security requirements and risk decisions.
Mentor engineering teams on secure coding, AI risk management, threat modeling, and secure design.
Promote a security-first culture through documentation, training, advocacy, and continuous improvement.

Requirements

5–7+ years of experience in product, application, or cloud security engineering.
Strong knowledge of secure SDLC practices, threat modeling, and secure architecture design.
Ability to read and review code to support security assessments, threat models, and architectural reviews.
Experience securing AI/ML pipelines, data workflows, and model-serving infrastructure, with practical knowledge of LLM and AI security risks such as prompt injection, model integrity, and provenance.
Strong understanding of cloud security principles and best practices across multi-cloud environments.
Familiarity with DevSecOps practices and CI/CD environments.
Knowledge of encryption fundamentals, including symmetric and asymmetric cryptography, TLS/mTLS, key management, and secrets handling.
Understanding of modern authentication and authorization patterns, including OAuth 2.0, OIDC, SAML, RBAC, and ABAC.
Demonstrated ability to lead cross-functional security initiatives and collaborate with engineering, product, and compliance teams.
Strong communication, stakeholder management, analytical thinking, and influencing skills.
Experience with Python, Java, and/or JavaScript for security automation and tooling is an advantage.
Experience with Kubernetes and container security, software supply chain security, artifact integrity, or bug bounty programs is a plus.
Familiarity with security and compliance frameworks such as SOC 2, ISO 27001, NIST 800-53, and NIST AI RMF is desirable.
Certifications such as CKS, CISSP, CSSLP, or AI/ML security credentials are considered a plus.

Benefits

Base compensation range of £90,000–£122,000 GBP.
Potential performance-based bonus and equity.
Generous benefits program.
Opportunity to work on advanced AI/ML security, cloud security, secure architecture, and product security challenges.
Ability to shape and influence product security strategy and security-by-design practices.
Collaboration with engineering, architecture, product, compliance, and customer-facing teams.
Opportunities to mentor teams and contribute to security culture, standards, and training.
Career growth within a fast-moving technology environment.
Commitment to an inclusive workplace and reasonable accommodations for qualified employees with disabilities.

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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.

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More about this job

Responsibilities

Lead product security for AI/ML systems by designing security controls, addressing AI-specific threats, and embedding security, privacy, and compliance throughout development lifecycles. Establish secure architecture and governance practices, automate security workflows, support customer-facing security assurance, and mentor teams while promoting a strong security culture.

Requirements

Requires 5–7+ years of product, application, or cloud security experience, with strong knowledge of secure SDLC practices, threat modeling, secure architecture, cloud security, and AI/ML security risks. Candidates should be able to review code, lead cross-functional initiatives, and communicate effectively; experience with security automation, containers, supply chain security, compliance frameworks, or relevant certifications is advantageous.

Skills

Product Security
AI/ML Security
Secure SDLC
Threat Modeling
Secure Architecture
Cloud Security
DevSecOps
CI/CD
Cryptography
OAuth 2.0
OIDC
SAML
Python
Java
JavaScript
Kubernetes Security

Benefits

Performance-Based Bonus
Equity
Generous Benefits Program
Career Growth Opportunities
Inclusive Workplace
Reasonable Accommodations for Employees with Disabilities

Visa sponsorship

Not detected in the job text

Keywords

AI/ML Security
Product Security
Application Security
Cloud Security
Secure SDLC
Threat Modeling
Secure Architecture
Prompt Injection
Data Poisoning
Model Inversion
Model Theft
Model Provenance
NIST AI RMF
EU AI Act
DevSecOps
CI/CD
Encryption
TLS/mTLS
Key Management
Secrets Management
OAuth 2.0
OIDC
SAML
RBAC
ABAC
Python
Java
JavaScript
Kubernetes
SOC 2

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