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Remote Machine Learning Engineer Biotech Jobs in Toronto, ON

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 ...

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Miratech

Google DialogFlow Engineer (Python)

Toronto, ON · On-site +1

Leverage natural language processing (NLP), LLM, and machine learning (ML) techniques, including ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

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YuJa

AI Engineer

Toronto, ON · On-site +1

CA$90K - CA$100K/yr

Design, develop, and deploy machine learning and deep learning models * Collaborate with product, design, and engineering to integrate AI models into customer-facing applications * Conduct ...

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 ...

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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 ...

Tiger Analytics Inc.

Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... We are seeking an experienced Data Engineer to join our team, specifically focused on building ...

Databricks

Solutions Architect

Toronto, ON · On-site +1

P-225 While candidates in the listed locations are encouraged for this role, we are open to remote ... engineering pipelines, and data science/machine learning projects; prove out the Databricks ...

Thundersoft

Embedded Software Test Engineer

Toronto, ON · Remote

CA$70K - CA$110K/yr

Machine Learning Test Developer Location: Markham ON Key Responsibilities * Test development for Computer Vision / Machine Learning (CVML) applications for the Edge * Work with Developers in ...

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Remote Machine Learning Engineer Biotech information

What are some common challenges faced by remote machine learning engineers in the biotech industry, 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 does a Remote Machine Learning Engineer do in the biotech industry?

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.
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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
Delivery Engineer - Canada

Delivery Engineer - Canada

DataVisor

Toronto, ON • Remote

CA$80K - CA$120K/yr

Full-time

Medical, PTO

Posted yesterday

Be an early applicant

Job description

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real time. 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. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Position Overview:

We are seeking a Delivery Engineer to join our Delivery team. The ideal candidate will lead client communications and drive end-to-end project delivery, while designing and implementing innovative integration solutions that meet both technical and business requirements.This role requires close collaboration with clients, sales teams, and internal stakeholders to ensure successful project outcomes. As a technical delivery leader, the TPM will own and manage all engineering work streams, coordinating across teams to keep projects on schedule and aligned with scope. The role is hands-on, requiring the ability to contribute directly to technical implementation and problem-solving as needed.

Key Responsibilities:

  • Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay.
  • Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
  • Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
  • Take the project management role to ensure the client onboarding project runs as expected and under control.
  • Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
  • Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
  • Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
  • Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Requirements

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering or a related field is required; a Master’s degree in a business-related discipline (e.g., MBA, MIS, Information Systems, Management, or Analytics) is preferred.
  • Basic understanding of software development, system architecture, and system integration concepts; exposure to SaaS platform data integration is a plus.
  • Strong verbal and written communication skills, with the ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Enjoys working with clients and stakeholders, with a service-oriented mindset and interest in client-facing responsibilities.
  • Ability to work collaboratively in a team environment and support multiple projects under guidance and supervision.
  • Demonstrates strong problem-solving skills, attention to detail, and a willingness to learn in a fast-paced environment.
  • Familiarity with anti-fraud concepts in the financial services or internet industry is a plus.
  • Exposure to real-time computing, big data technologies, or machine learning through coursework, internships, or project experience is a plus.

Benefits

1. Health Insurance, PTO, stock option

2. The expected salary range for this role is CAD $80,000 – $120,000 per year, depending on experience, qualifications, and location. Final compensation will be determined based on job-related skills and business needs