1

Python Ml Developer Jobs in Montreal, QC (NOW HIRING)

... ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving * Develop across the stack: the Floyd Python SDK and its Gradio- and ...

Azure DevOps You don't need experience with every tool listed above - strong production-ML fundamentals matter more than direct experience with our exact stack. Python is the exception: it's a non ...

Stay current on industry trends in data engineering, ML, and cloud computing. * Provide mentorship ... Strong skills in DBT, SQL, Python, Snowflake, Iceberg, Spark, and AWS (ECS, S3, Aurora, RDS)

You'll own the data and ML platform that turns models into reliable production services, harden the ... Python, SQL, Bash * Google Cloud Platform (GCP) * BigQuery and dbt * Airflow (Cloud Composer), Pub ...

Showing results 41-60

Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Montreal, QC?

For Python Ml Developer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Montreal, QC look for?

The top searched job categories for Python Ml Developer jobs in Montreal, QC are:

Infographic showing various Python Ml Developer job openings in Montreal, QC as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 13% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Senior Applied AI Engineer

PSP Investments

Montreal, QC • On-site, Remote

Full-time

Retirement, PTO

Posted 22 days ago


Job description

ABOUT US

We're one of Canada's largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.


We invest funds for thepension plans of thefederalpublicservice, the Canadian Forces, theRoyal Canadian Mounted Police andthe ReserveForce. Headquartered in Ottawa, PSP Investments has its principal business office in Montreal and offices in New York, London and Hong Kong.


Capturing and leading complex global investments requires us to work as one to seize valuable opportunities, in close collaboration with some of the world's top companies. At PSP Investments, you'll join a team of motivated and engaged professionals, dedicated to propelling our organization further than ever before.


ABOUT YOUR ROLE

Floyd is PSP's in-house AI platform - a custom analyst built for our investment teams. It pairs a conversational assistant with purpose-built workflows that turn complex research questions into structured, decision-ready output. Under the hood, Floyd is an agentic system that orchestrates the latest frontier models through the OpenAI, Google (Gemini) and Anthropic (Claude) APIs, routing each task to the right model and breaking big problems into smaller ones it can work through in parallel. It's already changing how investment professionals work day-to-day - and it's still early, with a lot left to build.

This role puts you at the frontier of applied AI inside an institutional investor. It's hands-on and high-agency, blending AI engineering with real product sense and close partnership with the people who use what you build. You'll own problems end to end - from a vague request on the investment floor to a reliable capability running in production - with the autonomy to decide how to get there.

You will have the chance to shape a flagship AI platform at one of Canada's largest pension investment managers, with direct impact on how investment decisions are researched, with access to frontier models and proprietary data at scale, within a high-caliber, collaborative team.

As a Senior Applied AI Engineer, you'll:

  • Design and build the core of Floyd's agentic system: prompting, tool use, retrieval across unstructured and structured data, multi-model orchestration and evaluation

  • Collaborate with our Data Engineers to build the ML and AI-serving pipelines behind Floyd on Databricks - our primary platform for data engineering, data science and AI serving

  • Develop across the stack: the Floyd Python SDK and its Gradio- and React-based front ends

  • Keep Floyd production-grade - reliability, latency, cost and monitoring - within the security and data-governance standards of a financial institution

  • Lean on AI coding agents (Claude Code, Codex) to move fast from prototype to production and help the team get more out of them

  • Advise/Partner closely with investment professionals to build trust, drive adoption, and feed what you learn back into the product

WHAT YOU'LL NEED

We're looking for a senior engineer who has shipped real AI products and likes working close to the people who use them.

  • Five (5) years or more building and shipping production software and/or ML systems, ideally in hands-on, user-facing roles

  • Production experience building and deploying LLM applications at scale

  • Hands-on experience with agent frameworks, vector databases, model fine-tuning, and LLM observability and evaluation tooling

  • Expert in Python (mandatory) and strong in JavaScript/TypeScript - comfortable building both a Python SDK and a Gradio or React front end

  • Hands-on experience with Databricks for data engineering, data science and/or model serving.

  • Comfortable across cloud platforms - we run primarily on Azure (Databricks, AKS) and Google Cloud (Vertex AI)

  • Expert user of AI coding agents such as Claude Code and/or Codex

  • High agency and sound judgment in ambiguous, fast-moving environments, with a strong collaborative mindset

  • Excellent communication - you can translate between domain experts and engineers and explain complex ideas simply

  • Experience with tabular data and time-series manipulation, an asset

  • Traditional (classical) ML experience beyond LLMs, an asset

  • Experience in financial services, asset management or capital markets, or with investment-research workflows, an asset

  • MLOps and platform experience (CI/CD, containers, Kubernetes/AKS) , an asset

  • Bilingualism: English and French (frequent interactions in English with PSP employees based in our offices in Hong Kong, London and New York, and interactions in French with employees in our local offices in Montreal and Ottawa)

We offer a tailored employee experience and competitive total rewards and benefits package* designed to attract and retain global diverse talent, reward performance, and reinforce business strategies and priorities. Beyond salary and incentive pay eligibility, you have access to:

  • Investment in career development

  • Comprehensive group insurance plans

  • Competitive pension plans

  • Unlimited access to virtual healthcare services and wellness programs

  • Gender-inclusive paid family leave policy: up to 26 weeks for primary caregivers, 5 weeks for secondary caregivers

  • A personalized family-building support, from pre-pregnancy to menopause, with available financial assistance

  • Vacation days available on day one with additional days on milestone service anniversaries, and summer Friday afternoons off

  • A hybrid work model with a mix of in-office and remote days

*Benefits package may vary based on your employee type.


At PSP Investments, we aim to provide a workplace where everyone feels valued, safe, respected and empowered to grow. As part of this leadership commitment, we strongly encourage applications from all qualified applicants and strive to offer an inclusive and accessible candidate experience. If you require any accommodation for any part of the recruitment process, please let us know.

Visit us on www.investpsp.com/en/

Follow us on LinkedIn

#LI-GR1