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Machine Learning Jobs in Vancouver, BC (NOW HIRING)

Senior Machine Learning Engineer

Vancouver, BC · On-site

CA$84K - CA$128K/yr

Machine Learning Application * Convert data science prototypes into robust, scalable ML solutions. * Apply appropriate ML algorithms to structured and unstructured data problems. * Evaluate model ...

Machine Learning Scientist What you will do Let'sdo this.Let'schange the world.Within Amgen's Research and Development organization, the Therapeutic Protein Design (TPD) team supports the broad goal ...

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 ...

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Machine Learning information

See Vancouver, BC salary details

$108.5K

$158.5K

$197K

How much do machine learning jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning in Vancouver, BC is $158,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,638.00 and $188,427.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some 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 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 jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

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.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Vancouver, BC? The most popular types of Machine Learning jobs in Vancouver, BC are:
What are popular job titles related to Machine Learning jobs in Vancouver, BC? For Machine Learning jobs in Vancouver, BC, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Vancouver, BC look for? The top searched job categories for Machine Learning jobs in Vancouver, BC are:

Intermediate Machine Learning Developer

Weir Group

Vancouver, BC

CA$84K - CA$120K/yr

Full-time

Posted 20 days ago


Job description

Intermediate Machine Learning Developer
Weir Motion Metrics

Vancouver, BC Canada(Hybrid)
Purpose of Role:

We are looking for a Machine Learning Developer who is passionate about solving challenging computer vision and machine learning problems in collaboration with other data scientists and developers. AI team members will be involved in various stages of algorithm development from research to production, which includes AI model development for embedded, edge and cloud environments.
Why choose Weir:
Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It's a big challenge - but it is exciting.
An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.
Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual's contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.
Key Responsibilities:

  • Design, implement and optimize proprietary machine learning algorithms based on runtime system requirements and constraints.

  • Collect, sanity-check and preprocess large image datasets to ensure data quality and suitability for model training.

  • Breakdown, implement, and supervise machine learning development lifecycle for assigned projects.

  • Conduct code reviews and work closely with the software/hardware/cloud teams to deliver production grade code/algorithm.

  • Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to define project requirements and deliver solutions that meet business goals.

  • Take ownership of AI project development including improvement roadmap and monitoring strategy

  • Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world class safety culture.


Job Knowledge/Education and Qualifications:

  • Master's Degree or higher in Computer Science or a related technology/engineering field.

  • 3+ years of hands-on experience in developing and implementing and evaluating machine learning models and algorithms.

  • In-depth knowledge of machine learning data structures and modeling, software architecture, libraries, and frameworks to create ML models that accomplish outlined goals.

  • Solid understanding of statistical learning algorithms, including (self, semi) supervised, unsupervised and transfer learning and computer vision algorithms.

  • Proficiency in Python development and version control.

  • Basic familiarity with object- and service-oriented design, containerization, and complexity analysis.

  • Solid Experience with TensorFlow, PyTorch and OpenCV.

  • Familiarity with image processing algorithms and Reinforcement Learning (RL).

  • Strong analytical, communication and presentation skills.

  • Must be legally eligible to work in Canada without sponsorship

Weir Motion Metrics (WMM) is a Canadian mining technology division that enables a new generation of safe, smart, and sustainable mining based in Vancouver, B.C. Serving the mining market since 1999, then joining Weir in 2021, Motion Metrics is proud to be Weir's first-ever center of excellence for artificial intelligence and machine vision technology.

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir's technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.
For additional information about what it is like to work at Weir, please visit our Career Page and LinkedIn Life Page.
Compensation: $84,300 - 120,000 CAD
Weir Motion Metrics is committed to fair and equitable compensation practices.

Actualcompensationpackages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location. Packages may vary by location due to differences in cost of living. The recruiter can share more about the specific salary range for a preferred location during the hiring process. Please note that the listed range reflects the base salary or hourly range only.


Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status.
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