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Machine Learning Jobs in British Columbia (NOW HIRING)

SAP

Senior Machine Learning Scientist

Vancouver, BC

We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP ...

Clio

Manager, Machine Learning Engineering

Vancouver, BC · Remote

CA$181K - CA$272K/yr

  • Medical

  • Dental

  • Vision

We are currently seeking a Manager, Machine Learning Engineering to join our rapidly growing engineering organization. This role is for someone who is passionate about building innovative solutions ...

DataVisor

Software Engineer - Canada

Vancouver, BC

  • Medical

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

MasterCard

Lead Data Scientist

Vancouver, BC · Hybrid

The Data Science team is responsible for developing advanced AI and machine learning solutions that power critical products across Mastercard's network. This role will support the merchant/acquiring ...

Workday

AI Engineer

Vancouver, BC

About the Role As a Machine Learning Engineer in Agent Factory, you'll design and build the core ML systems behind Workday's next generation of AI agents. Working within a small, senior, cross ...

ALS

Geodata Scientist

Vancouver, BC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Evaluate emerging machine learning, artificial intelligence, and uncertainty quantification methodologies for potential incorporation into company products and services. * Assist in developing ...

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Showing results 21-40

All JobsMachine Learning JobsMachine Learning Jobs in British Columbia

Machine Learning information

See British Columbia salary details

$108K

$157.7K

$196K

How much do machine learning jobs pay per year?

As of Aug 17, 2026, the average yearly pay for machine learning in British Columbia is $157,676.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $187,500.00 per year, depending on experience, location, and employer.

What is a machine learning?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are the typical day-to-day responsibilities in a machine learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What are the key skills and qualifications needed to thrive in a machine learning position?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the most commonly searched types of Machine Learning jobs in British Columbia?

The most popular types of Machine Learning jobs in British Columbia are:

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

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

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

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

What cities in British Columbia are hiring for Machine Learning jobs?

Cities in British Columbia with the most Machine Learning job openings:

Machine Learning jobs near you
Infographic showing various Machine Learning job openings in British Columbia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $157,676 per year, or $75.8 per hour.

Senior Machine Learning Scientist

SAP

Vancouver, BC

Full-time

Re-posted 8 days ago

Job description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. 

We are looking for a seasoned machine learning scientist to join our team at SAP Concur to deliver world class applied AI solutions to millions of users. We solve real-world challenges faced by SAP’s global customers with scalable and robust AI-augmented user experiences. This position is at the forefront of innovation and ambitious AI roadmap of SAP Concur. This is a high-impact individual contributor role for someone who thrives in a fast-paced, data-driven environment, and have a passion for applied AI systems. 
 
What you’ll build: 
 
In this job, you will work closely with our SAP Concur Spend AI team and the Spend product team to deliver real-world, high user-impact AI-driven product features in Finance and Spend domain. Specifically, you will: 

  • Explore, implement, experiment and evaluate the most recent LLMs and agentic frameworks in AI field for our use cases; 

  • Push the frontiers of scalable applied AI with real-world data and application. 

  • Work with interdisciplinary teams of developers, designers, and business experts to develop solutions with real measurable customer impact. 

  • Help to ensure performance, reliability, and ongoing improvement of our model deliverables in continuous collaboration with development teams. 

What you bring: 
 

  • Proven hands-on experience with ML / deep learning frameworks, NLP, LLMs and agents 

  • Strong track record in experimentation and evaluation of ML / AI models, LLMs and agents 

  • Extensive experience with at least one major cloud platform, AWS preferred 

  • Strong proficiency in Python and SQL  

  • Demonstrated ability to drive decisions using a data-driven mindset 

 

Preferred Skills and Experience: 
 

  • Experience with agentic systems and frameworks 

  • Experience with LLM fine-tuning, distillation, retrieval-augmented generation (RAG) systems, grounding techniques 

  • Experience with ML model / LLM deployment and productionization 

Where you belong: 

At SAP, you will collaborate across teams and geographies, sharing expertise and elevating Machine Learning engineering practices. You will act as a technical partner and lead by example, helping raise the quality and reliability of production of Machine Learning systems. 

#LI-RS11 

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.  
We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.
SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.
For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity,  gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.
SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 108100-222800CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link:  www.SAPNorthAmericaBenefits.com.
Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

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Requisition ID: 454735  | Work Area: Software-Design and Development  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations:  #LI-Hybrid
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