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Remote Machine Learning Engineer Jobs in Montreal, QC

... while remote team members play an integral role in shaping our dynamic culture from afar. We have ... machine learning) and internet law. * Support product, commercial, and strategic initiatives by ...

The team serves as the hub for AI and machine learning across the entire organization and all our ... Work with the DevOps team to ensure deployment of the Python-based APIs are live and kept ...

Montreal, Quebec (remote work available) Job Type: Full-time About Us: GenAIz is a cutting-edge ... Experience working with AI-powered solutions or machine learning algorithms * Strong analytical and ...

Perks of Working for TTC Full Time Employment Remote Work Model within Canada Competitive Base ... At TTC, we value diversity, continuous learning, and different perspectives, and we welcome ...

... research, engineering, dataset and benchmark design, and redteaming. * Operate the team ... An advanced degree (MSc or higher) in machine learning, computer science, or a closely related ...

Having recognized the advantages of remote work, including employee morale, productivity, reduced ... If you thrive on tackling interesting challenges with continuous learning opportunities, then ...

Research Assistant 2

Montreal, QC ยท On-site +1

CA$32.15/hr

Strong programming skills in R and/or Python; experience with shell scripting. * Hands-on ... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ...

Research Assistant 2

Montreal, QC ยท On-site +1

CA$32.15/hr

Strong programming skills in R and/or Python; experience with shell scripting. * Hands-on ... machine learning, and single-cell biology. * Opportunities for co-authorship on high-impact ...

Showing results 21-40

Remote Machine Learning Engineer information

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Montreal, QC?

The most popular types of Machine Learning Engineer jobs in Montreal, QC are:

What are popular job titles related to Remote Machine Learning Engineer jobs in Montreal, QC?

For Remote Machine Learning Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer jobs in Montreal, QC look for?

The top searched job categories for Remote Machine Learning Engineer jobs in Montreal, QC are:

Infographic showing various Remote Machine Learning Engineer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Sr. Legal Counsel

Aylo Careers

Montreal, QC โ€ข On-site, Remote

Full-time

Re-posted 15 days ago


Job description

Established in 2004, we are a tech pioneer offering world-class adult entertainment and games on some of the internet's safest and most popular platforms. With the support of an international team of dynamic and collaborative innovators, we are on a mission to enable safe user experiences and empower our communities by celebrating diversity, inclusion, and expression - all while maintaining robust trust-and-safety protocols.ย 

We embrace the best of both worlds! Local talent can thrive in our collaborative office space with the flexibility of a hybrid work environment, while remote team members play an integral role in shaping our dynamic culture from afar. We have offices in Montreal (Quebec), Austin (Texas) and Nicosia (Cyprus). ย 

*A select number of positions require full-time in office attendance*ย 

We're looking for a pragmatic and business-minded Sr. Legal Counsel to join our in-house legal team. In this role, you will partner with teams across the organization to provide practical legal guidance, support commercial initiatives, and help manage legal risk in a fast-moving technology environment. You'll work on a broad range of matters including commercial contracting, intellectual property, and regulatory issues while helping the business move forward with confidence. Experience with emerging technologies, such as artificial intelligence, and a strong understanding of internet law will be considered valuable assets.ย 

Whatย you'llย be doingย 

  • Draft, review, and negotiate a variety of commercial agreements across the organization, including services agreements, license agreements, NDAs, intercompany agreements, and corporate and related legal documentation.
  • Provide clear, practical legal advice to internal stakeholders on commercial,ย technologyย and intellectual property matters,ย includingย matters related to emerging technologies (e.g., artificial intelligence, machine learning) and internet law.ย 
  • Support product, commercial, and strategic initiatives byย identifyingย legal risks and proposing practical solutions.ย 
  • Conduct legal research and prepare concise guidance on applicable laws,ย regulationsย and emerging legal issues.ย 
  • Assistย with discovery and due diligence in connection with litigation, audits, financing, and transactional matters.ย 
  • Support intellectual property enforcement activities, including cease-and-desist letters and domain name dispute processes (e.g., UDRP or URS).ย 
  • Monitor and advise on legal developments in the fields of artificial intelligence, data privacy, and internet law, to ensure compliance with evolving regulatory landscapes.ย 
  • Contribute to the development and improvement of contract templates, legalย playbooksย and internal processes.ย 

Whatย you'llย need to be successfulย 

Must havesย 

  • 5-8 years of legal experience, ideally in commercial, technology, or intellectual property law.ย 
  • Member in good standing of theย Quebec or Ontario Bar.ย 
  • Strong contract drafting and negotiation skills.ย 
  • Excellent written and verbal communication skills inย English, with the ability to explain legal concepts clearly to business stakeholders.ย 
  • Bilingual (French and English).ย 
  • Demonstrated ability to handle concurrent matters while meeting tight deadlines
  • Proven track record working with diverse departments and operations teams to achieve business objectives.
  • Ability to coordinate with external counsel and manage legal matters across different time zones (North America/Europe).
  • Advancedย proficiencyย with Microsoft Office.ย 

Nice to havesย 

  • Experience supportingย common lawย jurisdictions.ย 
  • Priorย in-house experience in a global technology or digital company.ย 
  • Experience advising on intellectual property or technology licensing matters.ย 
  • Familiarity with legal issues relating to artificial intelligence, machine learning, blockchain, or other emerging technologies.ย 
  • Experience advising on internet law, digital content regulation, or data privacy matters.ย 

As an equal opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees

In this role you may be exposed to adult content