Jobs in Canada

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Added 14 hours ago
S
Staff Applied Research Scientist
ServiceNow
Montréal, QC
- Full-time
- Hybrid
…quickly, stress-testing assumptions, and working side by side with the Forward Deployed Engineering team to validate ideas against real customer workflows. When a prototype fails in the…
Added 14 hours ago
Machine Learning Engineer
RECYCLEYE
Stratford, ON
We work mostly in Python, with some Go, deploying models and algorithms to NVIDIA Jetson devices running DeepStream pipelines, supported by Docker, GitHub Actions and Azure.
Added 14 hours ago
AI Data Developer II, Professional Services, Google Cloud
Google
Toronto, ON
Experience with database administration techniques or distributed data processing, as well as writing software in Java, Python, or SQL.
Added 14 hours ago
AI
Silicon Design Engineer (1 year contract)
AMD, Inc.
Markham, ON
- Temporary
Experience with Perl/Python/Shell scripting, C++, SQL
Added 14 hours ago
AI Engineer
hireVouch
Toronto, ON
Strong software engineering fundamentals, with hands-on experience in Python
Added 14 hours ago
CS
AI Inference Core - Senior SDET, Release Integration Testing
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Proficiency in Python, Go, or a similar programming language, with demonstrated experience writing maintainable, production-quality code.
Added 14 hours ago
Senior Software Engineer
RECYCLEYE
Stratford, ON
…low-latency Go services, GStreamer video pipelines, real-time Python data processing, Azure infrastructure, Linux systems and Python web applications. We're looking for a developer skilled…
Added 14 hours ago
RC
Intermediate Software Engineer - Python or Go, Data, Hybrid
Randstad Canada
Toronto, ON
- $96,000 to $130,000 CAD / year
- Full-time
This is a fulltime permanent position and hybrid in Toronto, 2 days per week onsite
Added 14 hours ago
C
AI Expert developer
CGI
Montréal, QC
- Full-time
Experience with AI powered developer tools: GitHub Copilot, Cursor, Codeium, or similar solutions.
Added 14 hours ago
C
Senior MLOps Engineer
CGI
Montréal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 14 hours ago
SM
ML Engineer, Trust & Safety [Hapiko]
Spin Master Ltd
Toronto, ON
- $136,700 to $182,300 CAD / year
- Full-time
Please Note: If you are a current Spin Master employee with access to Workday, apply to this job via the Workday application.
Added 14 hours ago
MC
AI Engineer
Myticas Consulting
Toronto, ON
- Contract
Experience with Docker, Kubernetes, CI/CD, and version control.
Added 14 hours ago
MC
Senior Machine Learning Engineer / Specialist – AI Centre of Excellence
Myticas Consulting
Canada
- Contract
The successful candidate will bring expert-level Python and SQL skills, combined with deep hands-on experience with Azure Machine Learning, Databricks, MLflow, CI/CD, MLOps, model…
Added 14 hours ago
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Sr. Security Specialist - GRC/Banking/CISSP
BeachHead
Toronto, ON
- Contract
Experience with AI/ML or data analytics tools such as Power BI and Python
Added 14 hours ago
AI
Integration Lead
Axya Inc.
Montréal, QC
- Full-time
- On-site
Strong hands-on coding ability, with the range to work across both of our stacks: Python (Django a strong plus) and C#/.NET. Deep strength in one and genuine willingness/ability to operate…
Added 14 hours ago
Senior Machine Learning (MLOps) Engineer
Nöord Technologies Corporation
QC
At Nöord Technologies, we empower top-tier financial institutions with exceptional talent in banking and capital markets. For the needs of one of our prestigious clients, a major banking…
Added 14 hours ago
FW
AI/ML Engineer
Future Works
Canada
- Contract
…twelve-week cycles, run by senior experts and fleets of AI agents, with our fees tied to outcomes our clients' own finance teams verify. We deliver in twelve weeks what incumbents quote at…
Added 14 hours ago
HT
Lead / Principal Java Engineer
High Tech Genesis
Toronto, ON
- Contract
- Hybrid
Work closely with data science, product, and engineering teams to move AI/ML capabilities from experimentation into production.
Added 14 hours ago
Industry 4.0 Digital Transformation Specialist
Stir Consulting Inc.
Toronto, ON
Design and deploy digital factory solutions aligned with Industry 4.0 principles
Added 14 hours ago
TR
Staff Software Engineer - AI II
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Expert-level proficiency in Python or another object-oriented language, with strong backend service and API design skills.
Added 14 hours ago
T
Senior Data Scientist
Takeaway
MB
- Full-time
Strong proficiency in Python and SQL, with experience shipping reliable models into production environments.
Added 14 hours ago
RQ09399 - Software Developer - Full Stack - Senior
Rubicon Path
Toronto, ON
You have strong proficiency in modern Python versions, and building REST API with FastAPI.
Added 14 hours ago
RQ09559 - Software Developer - Full Stack - Senior
Rubicon Path
Toronto, ON
You have strong proficiency in modern Python versions, and building REST API with FastAPI.
Added 14 hours ago
CG
Staff/Senior Data Scientist - GenAI
Cover Genius
Vancouver, BC
- $135,000 to $220,000 CAD / year
- Full-time
- Hybrid
Strong Python engineering, with practical experience of agent and tool-use patterns (e.g. MCP, function calling), workflow orchestration (e.g. Temporal or similar), and a major cloud AI…
Added 14 hours ago
T
Senior Staff ML Compiler and Performance Engineer
Talentlab
Markham, ON
- Hybrid
We are partnered with a global leader in the semiconductor industry, assisting in the search for a Senior-Staff level compiler optimization engineer to join their growing AI/ML R&D team.

Future Works

AI/ML Engineer

Canada

Contract

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Job details

Job type: Contract
Experience: 4+ years in software or machine learning engineering, with production experience building LLM-powered features or agents.
Posting language: English
Posted: Nov 4, 2026

Original job description

About Future Works

Large companies spend billions on consulting and implementation projects to adopt new technology. Most of that work is slow and expensive, and too often it fails to deliver. Future Works replaces it. We rebuild the operations that move a company's P&L in twelve-week cycles, run by senior experts and fleets of AI agents, with our fees tied to outcomes our clients' own finance teams verify. We deliver in twelve weeks what incumbents quote at two years.

We work with large companies in energy, construction, real estate and other asset-heavy industries. Every role here is built around humans and agents working as one system. Whatever the seat, we look for high energy, high agency and a real interest in building with AI.

The Role

We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across a multi-stage process.

As an AI/ML Engineer, you will build agent capabilities in parallel during the build phases, working under the Lead AI/Agent Architect. You will implement the tool integrations, data pipelines, and per-stage agent components that let a full transaction scenario run end to end against sandbox data.

Key Responsibilities

Per-Stage Agent Build: Implement agent capabilities for individual workflow stages (for example engagement agreement generation, needs-assessment brief, market survey and long-list scoring, tour management, RFP and proposal analytics, lease abstraction, and close-out and invoicing), building to the orchestration model and stage handoff protocols defined by the Lead Architect.
Tool & Integration Development: Build the typed tools the agents call: template population, market-data query, financial analytics (NER, TI, free rent, NPV), clause and lease-clause extraction, and document assembly.
Data Pipelines: Build and maintain pipelines against sandbox and representative sample data, including the property availability data source.
Human-in-the-Loop Implementation: Encode the approval gates and review checkpoints specified by the architect, so binding steps always route through a broker confirmation.
Quality & End-to-End Testing: Validate components against deal-scenario data and participate in end-to-end testing across all eight stages, checking artifact quality and stage handoff integrity.
Build-Phase Readiness: Participate in Phase 1 architecture workshops to ensure the build starts on solid foundations.

What We're Looking For

Required Skills and Experience

4+ years in software or machine learning engineering, with production experience building LLM-powered features or agents.
Agent Tooling: Hands-on experience with agent frameworks, tool and function calling, retrieval, and prompt engineering.
Python & Data Engineering: Strong Python and practical experience building data pipelines and integrating structured and unstructured data sources.
Document Processing: Comfort parsing, extracting, and generating documents across formats such as PDF, DOCX, and structured templates.
Financial & NLP Depth: Experience implementing financial analytics (lease economics, NPV, scenario modelling) and NLP information extraction (clause and entity extraction from contracts or leases) is strongly preferred.
Domain Exposure: Exposure to commercial real estate or another document-heavy transaction domain is a plus.
AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to ship faster and with higher quality.
Agile Execution: Ability to move quickly in hypothesis-driven, milestone-based sprint cycles, shipping working components and iterating against real evidence.

Our Culture & Benefits

We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on freedom, high performance and our core values. You can read more about our values and how we work on our careers page: https://future.works/careers

Benefits & Perks

New York or US Eastern. We work in our clients' time zones, with regular time in person on client sites.
Compensation. A competitive salary.

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More about this job

Responsibilities

The AI/ML Engineer at Future Works will build agent capabilities for individual transaction workflow stages, implement the tools agents call, and maintain data pipelines. They will also add approval checkpoints and test components end to end.

Requirements

Future Works needs 4+ years in software or machine learning engineering, including production experience with LLM-powered features or agents. Strong Python, data pipeline and document processing skills are required, with financial analytics and NLP extraction strongly preferred.

Skills

Python
LLM applications
AI agent development
Tool and function calling
Retrieval-augmented generation
Prompt engineering
Data pipeline engineering
Structured and unstructured data integration
Document parsing and generation
PDF
DOCX
Template population
NLP information extraction
Clause and entity extraction
Financial analytics
NPV modelling
Lease economics
Scenario modelling
LLM code assistants
Agile sprint delivery
Human-in-the-loop design
End-to-end testing

Keywords

AI engineer
machine learning engineer
ML engineer
LLM
AI agents
agent framework
tool calling
function calling
retrieval
prompt engineering
Python
data pipelines
document processing
PDF
DOCX
NLP
information extraction
NPV
lease economics
commercial real estate

Seniority

Mid level

Tools

Python

Languages

English

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Work requirements

Jobs in Canada