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Added 5 hours ago
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Lead Senior Software Engineer
RBC
Toronto, ON
- Full-time
…Markets, and external vendor partners. We are looking for a lead senior software engineer, a seasoned technologist to build cutting-edge, products and solutions in cloud environments.…
Added 5 hours ago
SE
Senior AI Software Enginer
Stikeman Elliott LLP
Toronto, ON
- Full-time
…is already in daily use and continues to expand. This is the senior engineering role responsible for advancing its…
Added 6 hours ago
LI
Netezza Engineer
LanceSoft, Inc.
Toronto, ON
- $58 to $62 CAD / hour
- Contract
We are seeking a highly skilled Senior Platform Engineer with extensive experience in Big Data technologies, AWS Cloud, and data platform engineering. The ideal candidate will have strong…
Added 7 hours ago
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Data Engineer
Swoon
Toronto, ON
- $65 to $80 CAD / hour
- Contract
Job Title: Data Analyst - Expert (Senior Data Engineer)
Added 8 hours ago
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Senior Engineer (Python / AWS / On-Premise)
Caddie
Toronto, ON
- Full-time
Strong Python, including NumPy, and SQL well past CRUD
Added 10 hours ago
LT
Python Developer
Lorven Technologies Inc.
Toronto, ON
- Contract
We are seeking a Senior Software Engineer to design and build highly scalable, secure, and high-performance solutions within our core banking platform.
Added 11 hours ago
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Senior Machine Learning Engineer
TekRek
Montreal, QC
- $140,000 to $160,000 CAD / year
- Full-time
This is a senior, hands-on ML engineering role. You take a business problem, turn it into a machine learning solution, and carry it into production. You’ll work on client projects across…
Added 11 hours ago
GT
Databricks Engineer - Expert
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $95 CAD / hour
- Contract
…within Databricks. The candidate will work daily with the Data Engineer Lead and client stakeholders, operating within a team that includes one Data Engineer Lead, five Senior Data…
Added 11 hours ago
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Architecte de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Excellente maîtrise des langages T-SQL, M, R, JSON, Python, DAX;

TekRek

Senior Machine Learning Engineer

Montreal, QC, Canada

$140,000 to $160,000 CAD / year · Full-time

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Job details

Pay: $140,000 to $160,000 CAD / year
Job type: Full-time
Apply by: Nov 12, 2026
Posting language: English
Posted: Oct 13, 2026

Original job description

The Role

This is a senior, hands-on ML engineering role. You take a business problem, turn it into a machine learning solution, and carry it into production. You’ll work on client projects across different industries, building everything from classical models on structured data to LLM-powered systems in the cloud. The right person has deep expertise in at least one of software, data, or ML and working knowledge of the other two. They can also explain the reasoning behind a design without leaning on tool names.

What You Will Do

Build, train and ship ML and deep learning models that hold up under real production load
Set up and maintain MLOps workflows across cloud environments, including CI/CD, model versioning and performance monitoring
Fine-tune foundation models and design RAG systems, from embedding and indexing choices through retrieval strategy and deployment
Work directly with clients and internal teams to scope business problems and turn them into ML solutions with clear trade-offs
Train, validate and evaluate models on large datasets, and keep them fast, scalable and reliable once they’re live

What You Bring

4+ years in machine learning engineering or a closely related role, including production systems you’ve built and deployed
Strong Python and hands-on work in PyTorch, TensorFlow or Scikit-learn, covering both tree-based and gradient boosting methods on structured data and deep learning architectures such as CNNs and RNNs
Practical LLM experience: fine-tuning, prompt engineering, and RAG pipelines built on vector databases, embeddings and retrieval tuning
Working knowledge of MLOps tooling such as MLflow, Kubeflow or Airflow, and experience on AWS, Azure or GCP (multi-cloud is a plus)
French is preferred. Consulting or client-facing experience, LangChain or LlamaIndex, Spark and SQL, Docker and Kubernetes, and model governance are all strong assets

Why This Role

The work spans industries and problem types, so you won’t spend years tuning the same model. In one role you’ll work on classical ML, deep learning and generative AI, and own solutions from the first client conversation to production. The role is hybrid, with three days a week in the office. It comes with competitive pay and room to grow.

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More about this job

Responsibilities

Build, train, evaluate, and deploy machine learning and deep learning models, including foundation-model fine-tuning and RAG systems, for client projects across industries. Establish and maintain production MLOps workflows, and collaborate with clients and internal teams to scope business problems and deliver scalable, reliable solutions.

Requirements

Requires at least four years of machine learning engineering or related experience, including building and deploying production systems, strong Python skills, and practical experience with classical ML, deep learning, and LLM applications. Candidates should have working knowledge of MLOps and a major cloud platform; French is preferred, while consulting experience and tools such as LangChain, Spark, Docker, and Kubernetes are assets.

Skills

Machine Learning
Python
PyTorch
TensorFlow
Scikit-Learn
Deep Learning
Structured Data Modeling
Gradient Boosting
Large Language Models
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
MLOps
Cloud Computing
Model Evaluation
Client Consulting

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Machine Learning Engineering
Python
PyTorch
TensorFlow
Scikit-Learn
Tree-Based Models
Gradient Boosting
Deep Learning
CNNs
RNNs
Large Language Models
Foundation Models
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Embeddings
MLOps
MLflow
Kubeflow
Airflow
AWS
Azure
GCP
CI/CD
Model Versioning
Performance Monitoring
Spark
SQL

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