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Remote Machine Learning Engineer Biotech Jobs in Toronto, ON

Tiny Health

AI Engineer

Toronto, ON · Remote

Solid machine learning fundamentals. You understand how the models you work with actually behave ... Comfortable driving work forward in a fast-paced, remote startup environment. Preferred

Levio

ML/AI Engineer

Toronto, ON · On-site +1

CA$110K - CA$150K/yr

The ML / AI Engineer design, build, deploy, and operate production-grade machine learning and ... The role will be remote. Why Join Levio? * Work on complex,high impactdigital transformation ...

YO AI Labs

Mental Health Expert - Remote

Toronto, ON · Remote

$200 - $350/hr

AI/ML Engineer Job Type: Full-Time Location: Remote Job Summary We are seeking an experienced AI/ML ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

You will be based in our Toronto office, balancing in-office collaboration with remote flexibility ... Enable DataOps and MLOps practices, including feature engineering pipelines and machine learning ...

DataVisor

Delivery Engineer - Canada

Toronto, ON · Remote

CA$80K - CA$120K/yr

Its patented unsupervised machine learning technology, advanced device intelligence, powerful ... Position Overview: We are seeking a Delivery Engineer to join our Delivery team. The ideal ...

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

... Scientist or Machine learning. * Strong programming skills in languages such as Python * Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow * Experience with cloud compute ...

Waabi

Research Engineer, Neural Rendering

Toronto, ON · On-site +1

CA$134K - CA$235K/yr

You are familiar with the internals of modern machine learning (diffusion models, vision ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

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All JobsMachine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech JobsRemote Machine Learning Engineer Biotech Jobs in Toronto, ON

Remote Machine Learning Engineer Biotech information

What does a remote machine learning engineer do in biotech?

A Remote Machine Learning Engineer in the biotech industry develops and implements machine learning models to analyze biological data, such as genomics, proteomics, or medical imaging. They collaborate with scientists and researchers to interpret complex datasets, automate data-driven processes, and drive innovation in drug discovery, diagnostics, or personalized medicine. Working remotely, they use programming, data science, and domain knowledge to create solutions that improve research efficiency and outcomes in biotechnology.

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

Remote machine learning engineers in biotech often face challenges such as managing large datasets securely, collaborating effectively across multidisciplinary teams, and staying updated with the latest scientific and technical developments. Communication is key—regular video meetings and clear documentation help bridge gaps with colleagues in research, data science, and regulatory domains. Additionally, leveraging secure cloud platforms and adhering to data privacy regulations are essential for handling sensitive biological information. Staying proactive with self-learning and participating in online forums or company-sponsored training can also help address these challenges.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer in biotech, and why are they important?

To thrive as a Remote Machine Learning Engineer in Biotech, you need a strong background in computer science, statistical modeling, and biology, typically supported by a relevant degree and experience in data-driven research. Proficiency with programming languages like Python or R, machine learning frameworks (such as TensorFlow or PyTorch), and bioinformatics tools is essential, and certifications in data science or machine learning are advantageous. Strong problem-solving, communication, and collaboration skills are crucial for working effectively in remote, interdisciplinary teams and explaining complex results to stakeholders. These skills ensure accurate model development, effective knowledge transfer, and impactful contributions to biotech innovations.

What are popular job titles related to Remote Machine Learning Engineer Biotech jobs in Toronto, ON?

For Remote Machine Learning Engineer Biotech jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning Engineer Biotech jobs in Toronto, ON look for?

The top searched job categories for Remote Machine Learning Engineer Biotech jobs in Toronto, ON are:

Remote Machine Learning Engineer Biotech jobs near you
Infographic showing various Remote Machine Learning Engineer Biotech job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Lead Data Scientist- IBM Watson

Fusemachines

Toronto, ON • Remote

Contractor

Re-posted 29 days ago

Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government.
Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
Type: Full-time, Remote

About the Role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic AI, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

Responsibilities
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems.
  • Pipeline Management: Responsible for developing, implementing, and managing end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 Requirements for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

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