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Machine learning engineer • etobicoke on

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Machine Learning Engineer

FullscriptToronto, ON
Full-time

We’re an industry-leading health technology company on a mission to help people get better.We started in 2011 with one simple idea.Make it easier for practitioners to access the products they trust...Show more

AI / Machine Learning Engineer

Thri5 Inc.Toronto, Ontario, Canada
Full-time

Despite massive investments in planning, forecasting, and analytics, retailers still face the same operational issues—out-of-stocks, bad master data, margin leakage, and inconsistent execution acro...Show more

Machine Learning Software Engineer

Jay AnalytixToronto, Ontario, Canada
Full-time

Machine Learning Software Engineer.AI solutions in a production environment.The ideal candidate will work closely with data scientists, engineers, and business stakeholders to turn data-driven insi...Show more

RQ11040 - Machine Learning Engineer - Senior

MaarutToronto, ON, ca
Full-time

Creates machine learning models and utilizes data to train models Focuses on analyzing data to find relations between the input and the desired output.Understands business objectives and develops m...Show more

 • New!

Machine Learning Engineer - Express Scripts Canada

CA2 ESI CanadaMississauga, ON
Full-time

Application Delivery Department.Please note that this is a general posting range and offer range will be varied based on relevant experience, qualifications, skills required and location for this r...Show more

Machine Learning Engineer

The Toronto-Dominion Bank (Canada)Toronto, Ontario
Full-time

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.Layer 6 is the AI center of excell...Show more

Machine Learning Engineer - AIRLKLHV

NavitasPartnersToronto, Ontario, Canada
Full-time

Job Title: Machine Learning Engineer.USA / Canada (Remote / Hybrid).Contract / Full-Time (Based on Engagement).This role bridges the gap between data science and production systems, ensuring models...Show more

Machine Learning Engineer (Canada)

Tiger Analytics Inc.Toronto, ON, CA
Full-time
Quick Apply

Tiger Analytics is an advanced analytics consulting firm.We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data.Our consultants b...Show more

Machine Learning Engineer

SurvalentMississauga, ON, CA
Full-time +1

Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate.Our systems transform complex operational data into clear...Show more

Machine Learning Engineer - Evisort

Workday, Inc.Toronto, ON, Canada
Full-time

As a Machine Learning Engineer, you will help develop tailored user experiences using advanced LLMs, Knowledge Graphs, personalization, and predictive analysis.You will collaborate with other engin...Show more

Machine Learning Software Engineer

Royal Bank of Canada>TORONTO, Canada
Full-time

We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry....Show more

Machine Learning Software Engineer

0000050007 Royal Bank of CanadaTORONTO, Ontario, Canada
Full-time

We’re looking for an enthusiastic software developer who’s excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry....Show more

Machine Learning Engineer

Astra North Infoteck Inc.Toronto, ON, ca
Full-time
Quick Apply

Primary Skill /s - Machine Learning to Customer Marketing initiatives -Python and libraries like PySpark, TensorFlow, PyTorch, and Scikit-learn big data ecosystems (e.Hadoop/Spark) and cloud platfo...Show more

Machine Learning Engineer

Cleo ConsultingToronto, ON, Canada
Full-time
Quick Apply

Assignment: RQ11040 - Machine Learning Engineer - Senior Job Title: Machine Learning Engineer Requisition (SS): RQ11040 Start Date: 2026-05-11 Show more

 • New!

Senior Machine Learning Engineer

Canada Workday ULCToronto, ON, Canada
Full-time

Architect & Build: Design, develop, and deploy scalable machine learning models and AI systems (ranging from predictive models to Generative AI and LLM-powered agents) that directly impact Workday'...Show more

Machine Learning Engineer / Data Scientist

FusemachinesToronto, ON, CA
Full-time
Quick Apply

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 com...Show more

Staff Machine Learning Engineer, MTS 2

0017 eBay Canada TechnologyToronto
Full-time

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells.Our platform empowers millions of buyers and sellers in more than 190 markets around the world....Show more

Machine Learning Engineer

Red Hat Canada Limited (f.k.a Cygnus Solutions Canada Limited)MSO,Toronto
Full-time

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise.Inference team accelerates AI for the enterprise and bring...Show more

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Machine Learning Engineer

Machine Learning Engineer

FullscriptToronto, ON
30+ days ago
Job type
  • Full-time
Job description
About FullscriptWe’re an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.This is your invitation.Bring your ideas, your grit, and your care for people.Join us and shape the future of care.We’re hiring a Senior Machine Learning Engineer to join our AI team to help strengthen and expand Fullscript’s AI-powered experiences. You’ll work on building innovative AI capabilities that help clinicians provide better services and help patients improve their health.

What you'll do:

  • Development and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that handle follow-up questions and reasoning over clinical context
  • Build and own backend services in Python that integrate LLM agents with Fullscript’s platform
  • Implement prompting, grounding, and safety strategies to optimize model outputs in clinical workflows
  • Implement AI feature quality testing, evaluation of LLM outputs (accuracy, hallucinations, edge cases), CI/CD pipelines, and version control for all model-related workflows
  • Collaborate with medical and product teams to deliver AI features that reflect real clinical reasoning and practitioner workflows
  • Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data solutions support clinical contexts
  • Stay current with the latest LLM research and emerging AI technologies

What you bring to the table:

  • 3+ years of experience building and implementing LLM applications used in production, including conversational or agent-based systems
  • Experience with LLM application frameworks (LangChain, LangGraph, Hugging Face tools), including agent orchestration, tool use, or RAG pipelines
  • Familiarity with model evaluation and monitoring frameworks for LLM outputs and conversational quality
  • Knowledge of MCP and agent orchestration tools
  • Strong proficiency in Python and SQL
  • Deep understanding of data engineering best practices, including version control, testing, and CI/CD methodologiesgineering best practices, including version control, testing, and CI/CD m
  • Experience designing AI systems that answer open-ended questions, support follow-up interactions, and explain their reasoning
  • Ability to communicate complex technical concepts effectively to technical and non-technical stakeholders
  • Learning mindset, with a keen interest in exploring new technologies and methodologies

Bonus if you have:

  • Familiarity with model evaluation and monitoring frameworks
  • Snowflake Snowpark or PySpark experience
  • Knowledge of MCP, Langfuse, or agent orchestration tools
  • Graph database experience (Neo4j)
  • Exposure to healthcare, clinical data, or decision-support systems

What we can offer you:

  • SalaryFlexible PTO & competitive pay—rest fuels performance.
  • RRSP match & stock options—invest in your future.
  • Customizable benefits—flexible coverage, paramedical services, and an HSA.
  • Fullscript discounts—save on wellness products.
  • Continuous learning—training budget + company-wide initiatives.
  • Wherever You Work Well—hybrid and remote flexibility.
Why FullscriptGreat work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.What to Know Before You ApplyWe’re grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page. We’re not able to respond to individual messages about open roles on email or social channels.Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at .All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the Learn More on instagramWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.