As a Machine Learning Engineer with the Department of National Defence, you will design, develop, and deploy machine learning solutions that support defence and security operations. You will work on complex problems ranging from data analysis and predictive modeling to autonomous systems and intelligent decision support tools. Your work will directly contribute to enhancing operational effectiveness, improving resource allocation, and strengthening Canada's defence capabilities in an increasingly digital security environment.
In this role, you will collaborate with cross-functional teams including data scientists, software engineers, subject matter experts, and military personnel to understand requirements and translate them into machine learning solutions. You will be responsible for the full lifecycle of ML projects: from problem definition and data preparation, through model development and testing, to deployment and monitoring in production environments. You will also contribute to establishing best practices, documenting methodologies, and mentoring junior team members.
You will work in a dynamic environment where your technical expertise helps solve real-world defence challenges. Whether you're working in a laboratory setting, a DND office, or collaborating remotely with teams across Canada, you'll have access to modern computing infrastructure and opportunities to work with cutting-edge technologies relevant to national defence.
Key Responsibilities
Contribute to artificial intelligence (ai) engineering & deployment projects and initiatives, Develop, test, and deploy AI/ML models and solutions, Analyze data to support evidence-based decision-making, Document technical approaches and ensure responsible AI practices
Required Skills
Python/R programming, Machine learning frameworks, Data analysis, Statistical modelling, Critical thinking, Technical proficiency, Attention to detail, Collaboration, Continuous learning
Typical Education
Post-secondary education or equivalent experience relevant to the position
Training
You will typically have a bachelor's degree in computer science, engineering, mathematics, statistics, or a related field. Many Machine Learning Engineers hold a master's degree in machine learning, artificial intelligence, data science, or computer science. Strong foundational knowledge in mathematics (linear algebra, calculus, probability) and statistics is essential.
Key technical competencies include proficiency in programming languages such as Python, Java, or C++; experience with machine learning frameworks and libraries (TensorFlow, PyTorch, scikit-learn); knowledge of data engineering and big data technologies; and understanding of software development best practices. You should be familiar with cloud computing platforms and have experience with model evaluation, validation, and deployment methodologies.
The Government of Canada supports ongoing professional development through access to training programs, conferences, and certification opportunities. Within DND, you may pursue certifications in cloud platforms (AWS, Azure, Google Cloud), specialized machine learning credentials, or advanced technical training. You will also have opportunities to develop leadership and communication skills, and to stay current with rapidly evolving AI technologies through departmental learning and development initiatives.
Entry Plans
Entry to this position within the DND civilian workforce typically occurs through Public Service Commission (PSC) advertised competitions or by joining talent pools that feed into ongoing recruitment initiatives. Competitions are regularly posted on the Government of Canada Jobs website (jobs.gc.ca) and may be open to Canadian citizens, permanent residents, or specific candidate pools.
The Government of Canada operates several pathways for entry: direct competitions for those with relevant experience, post-secondary recruitment programs for recent graduates, and lateral movement from other government departments for those already in the federal Public Service. Your eligibility and entry route will depend on your citizenship status, security clearance level, and professional experience.
If you are already working in the federal Public Service, you may be able to apply for these positions through internal competitions or through the staffing process. DND also participates in student recruitment and co-op programs that can provide a pathway to permanent employment. Security clearance requirements vary depending on the specific role and may range from Reliability Status to Top Secret level, which can take several months to process.
Part-Time Options
Machine Learning Engineer positions in the DND civilian workforce typically offer flexible work arrangements suited to modern technology environments. While many positions are full-time, the department increasingly supports flexible schedules and remote or hybrid work options, particularly for technical roles where work can be performed independently or in distributed teams.
Remote work is often available for portions of your work week, allowing you to collaborate with colleagues across DND locations while maintaining focus time for complex technical tasks. Some positions may offer compressed work weeks or flexible hours to support work-life balance. Specific arrangements depend on operational requirements, team structure, and manager approval.
Part-time or job-share opportunities may be available in some instances, though Machine Learning Engineer positions are generally structured as full-time roles to ensure continuity on complex, ongoing projects. Your manager will work with you to establish arrangements that meet both departmental needs and your personal circumstances, within the parameters set by Treasury Board and DND policies.
Related Careers
No related military careers on file for this position.
