Find work in Canada.

318,608 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 11 hours ago
S
Technical Specifications Coordinator
SYSTRA
Montreal, QC
- Full-time
Ensure specification data is properly structured for future operations and asset management use.
Added 23 hours ago
IT
System Administrator
Ideon Technologies
Richmond, BC
- Full-time
…tomography, Ideon has developed the REVEAL™ Subsurface Intelligence Platform®, comprising an advanced suite of proprietary data-generation hardware, software, physical AI, and multi-physics…
Added 1 day ago
MU
Research Assistant 2
McGill University
Macdonald Eng. Bldg.
- Part-time
The Department of Mechanical Engineering at McGill University is seeking a Research Assistant 2 for the AI Platform Development for Collaborative Autonomy research project under the…
Added 1 day ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI…
Added 1 day ago
B
Bilingual Lease Analyst (FR/ENG)
BGIS
Toronto, ON
- Full-time
The Lease Analyst, in conjunction with our RealLease technology platform, supports our clients nationwide in effectively and efficiently managing their leased portfolios. From abstracting…
Added 2 days ago
CI
05 - Operations Engineering Support 2
Celestica International LP
Newmarket, ON
- $51,000 to $60,000 CAD / year
Reads and understand Bills of Materials, Component Data, Engineering Change Order and similar technical information. Inspects for standard quality requirements.
Added 2 days ago
SC
Environmental Design and Approvals Sr Specialist
SYSTRA Canada
Toronto, ON
- Full-time
Identify data gaps and commitments and Oversees development of the Investigation scope and schedule.
Added 2 days ago
HC
Energy Engineer - CDFM - FT Admin
Humber College
Toronto, ON
- Internship
Lead the implementation and development of the SkySpark platform; Humber’s energy management and fault detection system that integrates BAS, metering and lighting controls data into one…
Added 2 days ago
08 - Lead Engineer, Systems/Applications Design
Celestica International LP
Newmarket, ON
Setting up and operating machine on trial run to verify accuracy of machine settings or programmed control data.
Added 3 days ago
JH
Intermediate Forensics Mechanical Engineer
J.S. Held LLC
Toronto, ON
- Full-time
The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations.
Added 3 days ago
E
Principal Analyst, Power Markets – Long-Term Forecasting - 26150DD
Enverus
Calgary, AB
- Full-time
Cross-functional collaboration. Partner with product, data science, and engineering to integrate models into the Enverus Prism™ platform and improve workflow efficiency for clients.
Added 4 days ago
C
Senior System Engineer
Confidential
Ottawa, ON
- Full-time
Lead certification activities for avionics system installations and modifications, including communication, connectivity, and data systems
Added 4 days ago
C
Avionics Delegate
Confidential
Kelowna, BC
- Full-time
Lead certification activities for avionics system installations and modifications, including communication, connectivity, and data systems
Added 5 days ago
DC
Environmental Engineer/Environmental Scientist
Dillon Consulting Limited
London, ON · Hamilton, ON · Guelph, ON · Kingston, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Vaughan, ON · Chatham-Kent, ON · Chatham, ON · North York, ON
- Full-time
Assist senior staff and Qualified Persons (QPESA) in collecting, evaluating, and reporting data for human health/ecological risk assessments, Conceptual Site Models (CSMs), and Records of…
Added 8 days ago
S
AVEVA Enterprise SCADA Specialist
SGS
Vancouver, BC
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 8 days ago
S
AVEVA Enterprise SCADA Specialist
SGS
Regina, SK
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 8 days ago
S
AVEVA Enterprise SCADA Specialist
SGS
AB · Edmonton, AB
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 8 days ago
S
AVEVA Enterprise SCADA Specialist
SGS
Calgary, AB
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 8 days ago
B
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
- Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 8 days ago
S
AVEVA Enterprise SCADA Specialist
SGS
Calgary, AB
- $85,000 to $165,000 CAD / year
- Full-time
…solutions provider specializing in industrial automation, SCADA, data historians, and analytics for the energy sector. We work with major oil and gas producers across North America, helping…
Added 8 days ago
SS
Senior UAV Airframe & Aerodynamics Designer
SkyCan Systems
Toronto, ON
- Full-time
This role leads conceptual and preliminary UAV configuration design across SkyCan's platform programs, covering sizing, geometry definition, and configuration trade studies. You will…
Added 9 days ago
AA
Chargé de projet et Maintenance prédictive - Performance de flotte / Project manager and Predictive maintenance - Fleet Performance
Airbus Aircraft
Montreal, QC
- Full-time
Added 9 days ago
RB
Senior Manager, Strategic Execution and Data Transformation
Royal Bank of Canada
Toronto, ON
- Full-time
…ensuring effective coordination and accountability (i.e. for Data Foundation Layer, Electronic Funds Transfer Reporting…
Added 9 days ago
W&
Account Executive - Greenfield
Weights & Biases
Toronto, ON
- Full-time
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with…
Added 9 days ago
R
Senior Manager, Strategic Execution and Data Transformation
RBC
Toronto, ON
- Full-time
…ensuring effective coordination and accountability (i.e. for Data Foundation Layer, Electronic Funds Transfer Reporting…

Direct IT Recruiting Inc.

MLOps Engineer – Databricks (1896) $90-100hr

Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $90 to $100 CAD / hour
Job type: Contract
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Location: Toronto, Ontario (Hybrid – 3 days/week onsite)

Contract Duration: 14 months, 40-hour work week

Skills: Python, MLOps, LLMOps, Azure Databricks, NIST AI RMF, MLFlow, RAG, AI governance, GitHub Actions, Terraform, Jenkins

Rate: $90-100/hr

Industry: Bank

DESCRIPTION

Applied Intelligence is scaling enterprise AI across Microsoft Foundry, Databricks, Copilot Studio, and a mixed model estate spanning Anthropic, Azure OpenAI, other frontier models, and open source models.

This hands-on engineering role partners with AI Governance and Risk to translate NIST AI RMF and enterprise requirements into practical platform controls, reusable patterns, automated guardrails, and governance evidence across the AI lifecycle.

You'll join the Applied Intelligence Platforms team and work closely with Platform Engineering, Data Engineering, Enterprise Architecture, Privacy, Enterprise Security, AI Governance and Risk, and the AI Centre of Excellence. You will report to the Senior Manager, Applied Intelligence Platforms.

Apply safe deployment practices including automated builds, artifact versioning, deployment gates, and rollback strategies such as blue/green, canary, and shadow, avoiding manual production changes.
Develop operational runbooks, support procedures, incident response guidance, and recovery processes.

Responsible AI, Privacy and Governance Enablement

Partner with AI Governance, Privacy, Information Security, and the AI Centre of Excellence to translate enterprise requirements into practical implementation patterns.
Implement technical guardrails supporting responsible AI outcomes, including content safety, grounding, human-in-the-loop checkpoints, and auditability.
Apply secure AI implementation patterns aligned with OWASP guidance for LLM and agentic systems, mitigating risks such as prompt injection, insecure tool usage, model exfiltration, and data leakage.
Implement authentication and authorization flows using OAuth2 and OIDC so AI agents and services inherit appropriate user context and role-based access.
Implement privacy-supporting controls in AI solutions, such as data minimization, access scoping, retention alignment, and handling of sensitive data in prompts, logs, and retrieval sources.

AI delivery model

Define and operationalize the AI delivery model, including reusable implementation patterns, reference solutions, and engineering standards for RAG, agentic, and machine learning solutions.
Select and integrate models across the estate based on suitability, performance, and cost.
Partner with delivery teams to accelerate build and support production readiness.

MLOps, LLMOps and evaluation

Build and maintain pipelines covering development, evaluation, deployment, monitoring, and model lifecycle management.
Establish evaluation frameworks with measurable quality criteria, behavioural regression testing, and continuous evaluation of probabilistic systems.
Implement lineage, experiment tracking, and reproducibility using tools such as MLflow.

AI governance technical implementation

Translate NIST AI RMF and enterprise AI governance requirements into technical controls across Govern, Map, Measure, and Manage.
Implement reusable guardrails through platform configuration, CI/CD/IaC, evaluation gates, access controls, policy enforcement, and OWASP-aligned secure AI patterns.
Establish traceable governance evidence for models, agents, deployments, evaluations, approvals, and human-in-the-loop controls.
Partner with AI Governance and Risk to validate control effectiveness and escalate policy, privacy, security, and risk-acceptance decisions to accountable teams.

Operations, reliability and cost

Own the reliability, observability, and production support of enterprise AI services.
Own cost tracking, attribution, and optimization, treating cost as a measurable engineering metric.
Apply safe deployment practices and maintain runbooks, incident response, and recovery processes.
Enablement
Onboard teams onto approved AI platforms and patterns, and provide technical mentorship, documentation, and reusable assets.

Decision making

Independent analysis approach based on business context

What you'll need:

Qualifications:

Has shipped and supported production systems, and designs for failure.
Has debugged performance or latency issues in distributed systems.
Writes modular, testable code and favours automation over manual intervention.
Defines measurable success criteria before building, and can test systems where outputs vary.
Treats cost as a measurable engineering metric.
Bachelor's degree in a related technical field, or equivalent practical experience.

Knowledge:

Generative AI, LLMs, RAG, agentic systems, and enterprise AI application patterns.
Microsoft Foundry, Databricks/Unity Catalog/MLflow, Copilot Studio, AI Gateway/model access patterns, and mixed-model tradeoffs.
MLOps/LLMOps, CI/CD, Infrastructure as Code, evaluation, observability, and cloud-native engineering.
NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and translation into engineering controls.
Responsible AI, human-in-the-loop design, auditability, privacy, IP, security, bias, and model misuse risks.
Cloud fundamentals, distributed systems and API design, observability, and data literacy.
Cloud cost management, consumption tracking, and cost attribution.
Proficiency in Python.

REQUIREMENTS

Hands-on Python coding, AI, machine learning, platform, or cloud engineering.
Hands-on experience building and operating production AI or machine learning solutions.
Experience implementing RAG and agent-based solutions.
Experience implementing MLOps and LLMOps capabilities end-to-end.
Experience implementing automated AI governance controls or evidence, ideally mapped to NIST AI RMF or another recognized framework.
Experience owning cost tracking and optimization of cloud or AI workloads.
Experience in a regulated environment is an asset.
Experience collaborating with Enterprise Architecture, Platform Engineering, Privacy, Security, and Governance teams in a large organization.
Experience in financial services, pension, asset management, or another regulated environment is an asset.

NOTE: As part of our hiring process, we use AI-based systems to support the initial screening of applicants.

To Apply: https://directitrecruiting.com/job/mlops-eng-databricks-1896/

Apply About employer

More about this job

Responsibilities

Build and operate production AI and machine learning platforms, pipelines, evaluation frameworks, and deployment controls, including reusable patterns for RAG and agentic systems. Implement governance, privacy, security, reliability, observability, and cost controls across the AI lifecycle, while supporting teams with onboarding, documentation, and technical mentorship.

Requirements

Candidates need hands-on Python experience and a track record building and supporting production AI or machine learning solutions, including RAG, agent-based systems, and end-to-end MLOps/LLMOps. They should be experienced with automated governance controls, cloud cost optimization, and cross-functional work in large organizations; regulated-industry experience is an asset, and a related bachelor's degree or equivalent practical experience is accepted.

Skills

Python
MLOps
LLMOps
Azure Databricks
NIST AI Risk Management Framework
MLflow
Retrieval-Augmented Generation
AI Governance
GitHub Actions
Terraform
Jenkins
Responsible AI
CI/CD
Infrastructure as Code
OAuth2
OIDC

Visa sponsorship

Not detected in the job text

Keywords

Python
MLOps
LLMOps
Azure Databricks
Microsoft Foundry
Copilot Studio
MLflow
Unity Catalog
NIST AI Risk Management Framework
Retrieval-Augmented Generation
Agentic Systems
Generative AI
Large Language Models
AI Governance
Responsible AI
GitHub Actions
Terraform
Jenkins
CI/CD
Infrastructure as Code
OAuth2
OIDC
Model Evaluation
Observability
Cloud Cost Management
Human-in-the-Loop
Privacy
OWASP
Distributed Systems
Financial Services

Report this job