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Machine Learning Government Jobs in British Columbia

Fortinet

Software Dev QA Developer

Burnaby, BC · On-site

CA$79K - CA$97K/yr

... machines (VM) or Kubernetes, etc. * Implement and maintain automated test software using Python ... Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer ...

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All JobsMachine Learning Government JobsMachine Learning Government Jobs in British Columbia

Machine Learning Government information

See British Columbia salary details

$22K

$114.4K

$214.5K

How much do machine learning government jobs pay per year?

As of Aug 15, 2026, the average yearly pay for machine learning government in British Columbia is $114,361.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the machine learning government position, and why are they important?

To excel in a Machine Learning Government role, candidates typically need expertise in data analysis, machine learning algorithms, and programming languages such as Python or R, often backed by a degree in computer science, data science, or a related field. Familiarity with government data systems, cloud platforms, and security protocols, as well as certifications like Certified Data Professional (CDP), can be valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical concepts to non-experts are highly desirable soft skills. These competencies enable professionals to effectively integrate machine learning solutions while adhering to regulatory requirements and serving public sector objectives.

What types of government projects do machine learning professionals typically work on?

Machine learning professionals in the government sector often work on projects related to public service optimization, fraud detection, public safety analytics, and predictive modeling for policy development. These roles may involve collaborating with cross-functional teams, including data analysts, policymakers, and IT specialists, to turn large datasets into actionable insights. Daily tasks might include cleaning and analyzing data, building predictive models, and presenting results to stakeholders with varying technical backgrounds. The work environment is usually mission-driven, with an emphasis on transparency, compliance, and impact. Over time, professionals in this field can advance into leadership or specialized research roles, contributing to innovative solutions that benefit the public.

What is a machine learning government?

A Machine Learning Government job involves applying artificial intelligence and data science techniques to solve problems in public sector domains like healthcare, cybersecurity, law enforcement, and policy analysis. Professionals in this field work with large datasets, develop predictive models, and enhance decision-making processes for government agencies. They may also focus on ethical AI deployment, regulatory compliance, and ensuring transparency in machine learning applications. These roles often require expertise in programming, statistics, and domain-specific knowledge related to government operations.

What are popular job titles related to Machine Learning Government jobs in British Columbia?

For Machine Learning Government jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Machine Learning Government jobs in British Columbia look for?

The top searched job categories for Machine Learning Government jobs in British Columbia are:

Machine Learning Government jobs near you
Infographic showing various Machine Learning Government job openings in British Columbia as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $114,361 per year, or $55 per hour.

Associate Principal Software Engineer, Cloud & Edge Backend

Saviynt

Vancouver, BC • On-site

CA$220K - CA$235K/yr

Full-time

Re-posted 17 days ago

Job description

Saviynt's AI-powered identity platform manages and governs human and non-human access to all of an organization's applications, data, and business processes. Customers trust Saviynt to safeguard their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age, Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is recognized as the leader in identity security, with solutions that protect and empower the world's leading brands, Fortune 500 companies and government institutions. For more information, please visit www.saviynt.com.

Come join us as founding members of Saviynt's AI Security team and help us build out AI security for the world's leading enterprises.

WHAT YOU WILL BE DOING

  • Architect and build the next-generation AI Security platform for enterprise identity and privileged access.

  • Design and develop highly scalable microservices in Go (Golang) that power the Cloud Control Plane and distributed Edge Backends.

  • Build the Cloud Control Plane responsible for policy management, AI governance, discovery orchestration, analytics, reporting, and APIs.

  • Build distributed Edge Backends that operate as local Points of Presence (PoPs) for headquarters, regional hubs, branch offices, and customer data centers.

  • Design resilient policy synchronization from Cloud Edge Endpoint with secure fail-closed enforcement during connectivity failures.

  • Build enterprise-scale discovery services for cloud resources, on-prem infrastructure, endpoints, applications, databases, and AI agents.

  • Develop access-brokering capabilities that enable privileged access to applications, machines, and services through local Edge Backends.

  • Design highly available, observable, and resilient distributed systems using modern cloud-native technologies.

  • Mentor engineers, lead architecture discussions, and drive engineering best practices.

AI & Agentic Engineering

  • Leverage AI-assisted software development throughout the SDLC to improve productivity, code quality, testing, documentation, and operational excellence.

  • Build platform capabilities to discover, govern, and secure AI agents, automation frameworks, MCP servers, and agentic applications.

  • Develop scalable services supporting AI-native enterprise workloads.

  • Follow AI SDLC best practices across design, implementation, testing, deployment, and operations.r

WHAT YOU BRING

  • 1+ years at a Associate Principal level of backend software engineering experience.

  • Expert-level Go (Golang) development.

  • Deep experience building distributed systems and microservices.

  • Experience with Kubernetes, Docker, gRPC, REST APIs, and cloud-native platforms.

  • Experience with PostgreSQL, Redis, Kafka/NATS or similar distributed infrastructure.

  • Strong understanding of networking, authentication, authorization, TLS, proxies, and distributed caching.

  • Experience building enterprise security, IAM, PAM, Zero Trust, or networking products is highly desirable.

  • Hands-on experience using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, Windsurf, ChatGPT, or similar.

  • Understanding of modern AI application architectures, including LLMs, RAG, AI Agents, orchestration frameworks, and Model Context Protocol (MCP).

  • Familiarity with AI SDLC best practices, including AI-assisted development, automated testing, secure coding, CI/CD automation, observability, and responsible use of AI-generated code.

  • Strong technical leadership, architecture, mentoring, and communication skills.

$220,000 - $235,000 a year
We offer you a competitive total rewards package, learning and tremendous opportunities to grow and advance in your career. At Saviynt, it is not typical for an individual to be hired at or near the top of the range for their role and final compensation decisions are dependent on many factors including but are not limited to location; skill sets; experience and training; licensure and certifications; and other relevant business and organizational needs. A reasonable estimate of the current range is $220,000 - $235,000 annually.
You may also be eligible to participate in a Saviynt discretionary bonus plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. 
If required for this role, you will:
- Complete security & privacy literacy and awareness training during onboarding and annually thereafter
- Review (initially and annually thereafter), understand, and adhere to Information Security/Privacy Policies and Procedures such as (but not limited to):

> Data Classification, Retention & Handling Policy
> Incident Response Policy/Procedures
> Business Continuity/Disaster Recovery Policy/Procedures
> Mobile Device Policy
> Account Management Policy
> Access Control Policy
> Personnel Security Policy
> Privacy Policy

Saviynt is an amazing place to work. We are a high-growth, Platform as a Service company focused on Identity Authority to power and protect the world at work. You will experience tremendous growth and learning opportunities through challenging yet rewarding work which directly impacts our customers, all within a welcoming and positive work environment. If you're resilient and enjoy working in a dynamic environment you belong with us!

Saviynt is an equal opportunity employer and we welcome everyone to our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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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