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Full Time Senior Machine Learning Engineer Jobs in Toronto, ON

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Career Renew

Senior ML Engineer

Toronto, ON · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

... senior levels, and will evaluate your application in its entirety. Layer 6 is the AI center of ... As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

We are currently seeking a Machine Learning Engineer to join our rapidly growing engineering team. This role is for someone who is passionate about building innovative solutions and being exposed to ...

The App Labb

Sr. AI Engineer

Toronto, ON · On-site

We are looking for a Sr. Machine Learning Engineer to help translate raw data into meaningful insights that drive strategic decision-making. The Opportunity Summary We are seeking an experienced ...

Invision AI

Machine Learning Engineer

Toronto, ON · Hybrid

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... Location This is a full-time, hybrid position based in Toronto. You will work from our downtown ...

Invision AI

Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... Location This is a full-time, hybrid position based in Toronto. You will work from our downtown ...

Vancity

Machine Learning Engineer Lead

Toronto, ON · Remote

... a Full-time, Permanent role and will report directly to the Manager, Data Science & AI. This ... Machine Learning Engineering, Data Science, Applied AI, Software Engineering, or related ...

Stripe

Machine Learning Engineer

Toronto, ON · On-site

What you'll do As a machine learning engineer, you will be responsible for analyzing opportunities ... in full time software development roles * Experience shipping LLM integrations to user products ...

Td

Machine Learning Engineer II

Toronto, ON · On-site

CA$154K - CA$199K/yr

As a Machine Learning Engineer, you will: * Join a world-class team of AI developers with an extensive track record of shipping solutions at the cutting-edge * Build scalable machine learning ...

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Full Time Senior Machine Learning Engineer information

What is a full time senior machine learning engineer?

Full Time Senior Machine Learning Engineers are experienced professionals who design, develop, and deploy advanced machine learning models and systems. They often lead teams, set technical direction, and collaborate with data scientists, engineers, and stakeholders to solve complex problems using data-driven approaches. Their responsibilities include selecting appropriate algorithms, optimizing model performance, and ensuring that machine learning solutions are scalable and maintainable in production environments. Senior engineers typically have several years of experience and a strong background in programming, statistics, and machine learning theory.

What types of projects and cross-functional collaboration can a full time senior machine learning engineer expect in their role?

As a Full Time Senior Machine Learning Engineer, you’ll typically work on complex projects that involve designing, deploying, and optimizing machine learning models for real-world applications. You can expect to collaborate closely with data scientists, software engineers, product managers, and domain experts to define project requirements, integrate models into production systems, and iterate based on feedback. This collaborative environment not only fosters innovation but also provides opportunities to mentor junior engineers and contribute to strategic decisions, making the role both technically challenging and highly impactful within the organization.

What are the key skills and qualifications needed to thrive as a full time senior machine learning engineer, and why are they important?

To thrive as a Full Time Senior Machine Learning Engineer, you need expertise in machine learning algorithms, statistical analysis, programming (commonly Python or R), and a relevant degree such as computer science or engineering. Experience with tools like TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and often advanced certifications in ML or data science are highly valued. Strong problem-solving, leadership, and communication skills set top candidates apart by enabling them to lead projects and collaborate effectively across teams. These skills are crucial for designing scalable ML solutions, mentoring peers, and delivering impactful business outcomes.

What is the difference between Full Time Senior Machine Learning Engineer vs Data Scientist?

AspectFull Time Senior Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, creates reports for business insights
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, healthcare, research

Full Time Senior Machine Learning Engineers focus on designing, building, and deploying scalable ML models, often working closely with engineering teams. Data Scientists analyze data, develop models for insights, and support decision-making. While both roles require strong analytical skills and knowledge of ML, engineers emphasize deployment and system integration, whereas data scientists focus on data analysis and modeling for insights.

What are popular job titles related to Full Time Senior Machine Learning Engineer jobs in Toronto, ON?

For Full Time Senior Machine Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Full Time Senior Machine Learning Engineer jobs in Toronto, ON look for?

The top searched job categories for Full Time Senior Machine Learning Engineer jobs in Toronto, ON are:

Full Time Senior Machine Learning Engineer jobs near you
Infographic showing various Full Time Senior Machine Learning Engineer 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.

Senior ML Engineer

Career Renew

Toronto, ON • Remote

$180K - $240K/yr

Full-time

Medical, PTO

Re-posted 3 days ago

Key responsibilities

  • Lead the exploration and application of Large Language Models and Generative AI.

  • Collaborate with teams and product managers to develop and implement ML-based solutions, ensuring performance optimization and alignment with business goals.

  • Actively engage in all aspects of development, from ideation and experimentation to implementation and deployment.

Job description

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.
 
Since 2017, we’ve been on a mission to use AI to resolve as many conversations as possible while elevating human agents to do what they are uniquely good at.
 

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA and Fanatics. You're an applied AI engineer who thrives in startup environments, writes clean Python, and can ship LLM-powered systems that handle real, high-stakes conversations at scale — not just run experiments.


What will you be doing?

  • Leading the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields 

  • Translating the latest research into high-performing systems and models that can be practically applied to enhance user experiences 

  • Help set the team's strategic direction, cultivating an environment that encourages innovation and professional growth

  • Actively engaging in all aspects of development, from ideation and experimentation to implementation and deployment

  • Collaborating with various teams and product managers to develop and implement ML based solutions, ensuring performance optimization and alignment with broader business goals

 
Requirements:
 
5 - 10 years of experience in applied ML engineering, building production systems in Python with LLMs or NLP (Mandatory)
Experience building production systems in Python (Mandatory)
Familiarity with low-latency production ML systems (Mandatory)
Experience working at a high-growth startup (Mandatory)
Background in NLU, NLP, or conversational AI (Nice-to-have)
BS/MS/PhD in CS, ML, Mathematics, or closely related field with ML coursework (Mandatory)
 
Why you should join
  • Industry leader in Voice AI for customer service since 2017 — powering enterprise customers like AAA and Fanatics where 50%+ of callers get fully resolved by the bot with higher satisfaction scores than human agents.
  • $113M raised from top-tier investors including Stripes, Salesforce Ventures and Norwest — Series B closed in 2022 at $78M with strong backing from day one.
  • Work on genuinely cutting-edge AI problems — low latency inference, hallucination reduction, prompt injection guardrails and dynamic conversation design at the frontier of what's possible with LLMs today.
  • Small team means real ownership and real impact — every improvement you ship moves the needle for enterprise customers in high-stakes scenarios (think: someone stranded on the road calling AAA).
  • Remote-first with strong perks — flexible vacation, paid sabbatical after 5 years, comprehensive health benefits, wellness stipend and a tech/learning stipend for conferences, books and courses. Competitive salary ($180K–$230K) plus meaningful equity.