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Remote Deep Learning Jobs in British Columbia (NOW HIRING)

Clio

Senior Platform Engineer

Vancouver, BC · Remote

CA$157K - CA$212K/yr

Deep experience designing, deploying, and operating AWS infrastructure and managed services (like ... This posting is for an existing vacancy. #LI-Remote What you will find here: Compensation is one of ...

Parallel Domain

Product Manager

Vancouver, BC · Remote

They are fully remote and growing fast. How long has the company been operating? 2017 Total company ... Develop a deep understanding of customer workflows across autonomy, robotics, computer vision, and ...

Creator, Inc.

Full-Stack Engineer

Vancouver, BC · On-site +1

CA$65K - CA$75K/yr

... track, and display deep social media metrics (from millions of creators) alongside real-time ... Join a highly supportive team environment that deeply values continuous learning, constructive ...

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Showing results 41-49

All JobsDeep Learning JobsRemote Deep Learning JobsRemote Deep Learning Jobs in British Columbia

Remote Deep Learning information

See British Columbia salary details

$21.5K

$131K

$214K

How much do remote deep learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote deep learning in British Columbia is $130,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,000.00 and $169,500.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning job involves working with artificial intelligence and machine learning models, particularly using deep neural networks, from a location outside a traditional office, often from home. Professionals in this field design, build, and optimize algorithms that enable computers to learn from large amounts of data. They often work on projects such as image and speech recognition, natural language processing, or autonomous systems. The remote aspect allows flexibility and access to global opportunities, but requires strong communication skills and the ability to collaborate virtually with teams.

What skills and qualifications are needed to thrive as a remote deep learning engineer?

To thrive as a Remote Deep Learning Engineer, you need strong programming skills in Python, a deep understanding of machine learning algorithms, and typically a degree in computer science, engineering, or a related field. Proficiency with frameworks like TensorFlow or PyTorch, as well as cloud computing platforms such as AWS or Google Cloud, is essential, and certifications in these technologies can be advantageous. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These skills ensure effective development, deployment, and maintenance of deep learning models while working independently in distributed teams.

What are common challenges faced by remote deep learning engineers, and how can they be addressed?

Remote deep learning engineers often encounter challenges such as limited access to high-performance computing resources, communication barriers with distributed teams, and difficulties in collaborating on large codebases or datasets. These issues can be mitigated by leveraging cloud-based platforms for scalable computing, using clear communication tools like Slack or Zoom for regular check-ins, and employing version control systems like Git for collaborative code management. Proactively setting up workflows and documentation helps ensure smooth collaboration and project continuity within a remote environment.

What is the difference between Remote Deep Learning vs Remote Machine Learning Engineer?

AspectRemote Deep LearningRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with neural networksBachelor's/Master's in CS, Data Science, or related; experience with algorithms and data modeling
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesDevelopment teams, data-driven projects, across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech companies, finance, healthcare, e-commerce

Remote Deep Learning specialists focus on designing and training neural networks for AI applications, often requiring advanced knowledge of deep neural architectures. Remote Machine Learning Engineers work on developing algorithms and models for broader data analysis and predictive tasks. While both roles involve machine learning, deep learning emphasizes neural networks, whereas machine learning engineers may work with a variety of algorithms across industries.

What are popular job titles related to Remote Deep Learning jobs in British Columbia?

For Remote Deep Learning jobs in British Columbia, the most frequently searched job titles are:

What job categories do people searching Remote Deep Learning jobs in British Columbia look for?

The top searched job categories for Remote Deep Learning jobs in British Columbia are:

Remote Deep Learning jobs near you
Infographic showing various Remote Deep Learning job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 30% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,996 per year, or $63 per hour.

AI Adoption & Transformation Consultant

Accenture

Vancouver, BC • On-site, Remote

CA$88K - CA$105K/yr

Full-time

Re-posted 6 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 494 rated business services

Job description

This is a hybrid role that combines remote work with regular client engagement. The successful candidate must be fluent in both French and English and be comfortable traveling to client locations as business needs require.

At Avanade, we help organizations transform how work gets done through Microsoft technologies, AI, and modern workplace solutions.

As a AI Adoption & Transformation Consultant, you will guide enterprise clients through the people side of AI transformation. Working at the intersection of business strategy, organizational change management, employee experience, and Microsoft Copilot adoption, you will help clients identify high-value use cases, accelerate workforce readiness, drive behavioral change, and realize measurable business outcomes from AI investments.

You will work directly with executives, business leaders, and technology stakeholders to shape transformation strategies, facilitate AI adoption programs, and build scalable approaches that help organizations embrace new ways of working.

What You'll Do

Drive AI Transformation Strategy

  • Partner with executive and business stakeholders to identify, prioritize, and evaluate AI and Copilot opportunities.

  • Develop adoption roadmaps aligned to business objectives and workforce transformation goals.

  • Help clients establish AI governance, readiness, and value realization strategies.

  • Translate emerging AI capabilities into practical business outcomes.

Lead Adoption & Change Programs

  • Assess organizational readiness, stakeholder needs, change impacts, and adoption barriers.

  • Design and execute enterprise-wide adoption strategies for Microsoft Copilot and AI-enabled solutions.

  • Develop communications, engagement, training, and reinforcement plans to drive sustained behavioral change.

  • Facilitate executive workshops, stakeholder alignment sessions, and transformation planning activities.

Enable Business Value Realization

  • Define adoption metrics, success criteria, and value measurement frameworks.

  • Monitor adoption progress and recommend improvements based on user feedback and usage insights.

  • Help clients connect AI adoption efforts to productivity, employee experience, and business performance outcomes.

  • Create executive-ready narratives that communicate progress, impact, and opportunities for continued growth.

Build Scalable Adoption Programs

  • Design champion networks, enablement programs, and change acceleration initiatives.

  • Develop repeatable playbooks, toolkits, training assets, and governance approaches.

  • Support organizations as they scale AI adoption across business units, geographies, and workforce populations.

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Required Qualifications

  • 5+ years of experience in enterprise consulting, digital transformation, or business change enablement.

  • Bilingual(French/English)

  • Prosci Certified Change Practitioner or equivalent.

  • Proven Microsoft Copilot knowledge credentials or equivalent.

  • Experience leading use case identification and business case development for emerging technologies.

  • Demonstrated experience guiding Microsoft 365 or Copilot programs with large enterprise customers.

  • Strong understanding of AI and productivity transformation, organizational readiness, and skilling strategies.

  • Experience with adoption and change management frameworks (Prosci, or equivalent).

  • Proven ability to work cross-functionally with business, IT, and executive stakeholders.

  • Excellent communication, facilitation, and stakeholder engagement skills.

  • Experience with internal communications, skilling, or change enablement programs in large organizations.

  • Experience working with adoption and success teams to accelerate impact and remove blockers.

Preferred experience

  • Experience enabling champions communities at 1k+ scale.

  • Prior short-format consulting (Big-4/boutique).

  • Deep enablement for finance/legal/customer service personas.

  • Multi-geo/multilingual rollouts.

  • creation of learning assets and Power BI adoption views.

Compensation at Avanade varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Avanade provides a reasonable range of compensation, based on full-time employment, for roles that may be hired as set forth below.

The recruiting efforts for this position are intended to fill a brand new position.


The base pay range shown below is intended as a guideline to reflect the majority of offers for this role.


It does not represent a maximum limit - in some cases, actual compensation may exceed the range where appropriate.

See more information on our benefits here: Canada Employee Benefits | Avanade

Role Location Annual Salary Range

British Columbia/Ontario $88,800 to $105,450

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