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Added 3 hours ago
EI
Software Development Manager
EBlock Inc.
Canada
- $160,000 to $180,000 CAD / year
- Full-time
We are looking for a hands-on Software Development Manager to lead one of our engineering teams within EDealer, reporting to the Sr. Director of Product and Engineering. This is a role for…
Added 3 hours ago
XI
Senior Engineering Manager - ERP
Xplore Inc
Markham, ON
- Full-time
We are looking for an experienced Senior Engineering Manager to lead and grow a technical team as we embark on a company-wide ERP transformation. This is your opportunity to use cutting…
Added 3 hours ago
Technical Inside Sales Specialist
Nanometrics Inc
Ottawa, ON
Answer standard technical inquiries regarding our solutions, hardware configurations, and data delivery workflows.
Added 5 hours ago
Q
Manager, Technical Support – Projects & Services (Global)
Qualitrol
Toronto, ON
- Full-time
Leads the global technical support function across all Qualitrol product lines supporting Projects & Services, including Generation (Toronto), CBM (Fairport), and Grid & GIS (Belfast).
Added 8 hours ago
P
Human Capital Manager, Consulting
PwC
Toronto, ON
- Full-time
Fast learner, strong technical skills, and open to implementing next generation HR skills (process automation, people/data analytics, Generative AI, and other digital skills)
Added 10 hours ago
R
Manager, Technical Support – Projects & Services (Global)
Ralliant
Mississauga, ON
- Full-time
Leads the global technical support function across all Qualitrol product lines supporting Projects & Services, including Generation (Toronto), CBM (Fairport), and Grid & GIS (Belfast).
Added 13 hours ago
T
Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
The Data Platform Engineering Manager role is responsible for designing, building, and operating the enterprise technology reference data platform that serves as the foundation for…
Added 13 hours ago
T
Senior Financial Analyst
TD
Toronto, ON
- Full-time
Canadian Personal Banking Finance is responsible for delivery of performance reporting insights, financial analyses, forecasting, planning and expense allocation activities. The team's…
Added 13 hours ago
Senior Product Manager
AutoScout24
Toronto, ON
You’ll thrive here if you enjoy solving complex problems, operating in ambiguity, connecting customer, business, technical, and data perspectives, and rallying teams around a clear product…
Added 14 hours ago
B
Sr. Application Developer - (Java / AWS / Payment Systems / Leadership)
BMO
Toronto, ON · BMOPLACE
- Full-time
…areas of focus includes translating user requirements into technical specifications, writing code and managing the preparation of design specifications. Supports system design, provides…
Added 15 hours ago
M
Delivery Lead, Media Operations
Monks
Toronto, ON
- Full-time
Utilize your project management experience and technical media skills to oversee quality campaign delivery from client teams and own client communications and relationships. You’ll be a key…
Added 16 hours ago
QP
Manager, AI Delivery
QuadReal Property Group
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…technology that keeps changing underneath it. What it needs is a manager who owns delivery of the portfolio end to end, makes the prioritization calls, and raises the technical bar without…
Added 16 hours ago
NA
Account Manager – Architecture Services B8C
NHS Ayrshire & Arran
AB · Mountain View County, AB
- Full-time
Digital Services Operations are responsible for the overall IT and Telecommunication service delivery to NHSGGC including the delivery of the underpinning technical infrastructure and…
Added 16 hours ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
161 Bay Street (93021), Canada, Toronto,Toronto, Ontario,Senior Manager, Software Engineering
Added 16 hours ago
H-
Sales Manager (AI Solutions)
HeitechSoft - AI Business Solutions
Cambridge, ON
- Full-time
Cross-Functional Collaboration: Work closely with the development and delivery teams to ensure valid technical scoping and smooth client handoffs.
Added 18 hours ago
M
Manager Engineering
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Manager Engineering, you will lead technology teams in delivering secure, reliable, and user-centric solutions that support business objectives. You will translate technical and…
Added 19 hours ago
T
Senior Financial Analyst
TD
Toronto, ON
- Full-time
Canadian Personal Banking Finance is responsible for delivery of performance reporting insights, financial analyses, forecasting, planning and expense allocation activities. The team's…
Added 19 hours ago
LC
Senior Manager, Learning, Development and Engagement
Loblaw Companies Limited
Toronto, ON
- Full-time
The Senior Manager, Learning, Development & Engagement will help strengthen leadership, collaboration, communication and engagement across Central Pharmacy Services. This role shapes and…
Added 20 hours ago
C
Senior Project Manager Finance Modernization
CGI
Toronto, ON
- Full-time
We are seeking an experienced Senior Project Manager to support a large-scale Finance Modernization initiative. This role will be responsible for strategically planning, coordinating, and…
Added 20 hours ago
TR
Principal Product Manager, Content Transformation
Thomson Reuters
Toronto, ON
- Full-time
Principal Product Manager, Content Transformation (Direct Tax AI)
Added 20 hours ago
A
Product Manager
Actalent
Vancouver, BC
- $60 to $70 CAD / hour
- Full-time
This Product Manager role focuses on developing and managing new consumer-facing payment and membership products that drive global member acquisition and engagement. You will own and evolve…
Added 21 hours ago
MC
Lead Data Centre Commissioning Engineer & Project Manager
Mission Critical Engineers | Mission Critical Forensics
Toronto, ON
- Full-time
Lead the technical delivery of commissioning programs for data centres and high-availability facilities.
Added 21 hours ago
AC
Customer Account Manager
Aston Carter
Woodbridge, ON
- $70,000 to $100,000 CAD / year
- Full-time
The Customer Account Manager drives business development within existing aerospace accounts by deepening relationships, identifying new opportunities, and ensuring an exceptional customer…
Added 22 hours ago
L
Delivery Manager
Lantern
AB · Edmonton, AB
- Full-time
Lantern is seeking a client-focused Delivery Manager, Data & AI to lead the successful execution of consulting engagements across modern data platforms, analytics, AI, and agentic solutions.
Added 23 hours ago
PC
Enterprise Application - Experienced Designer, Senior Associate (Reliability Security Clearance Required)
Pwc Canada
Ottawa, ON
- Full-time
Support the delivery of customer transformation engagements, including customer strategy, experience design, brand design, and service/operating model improvements.

Direct IT Recruiting Inc.

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

Toronto, ON, Canada

$90 to $100 CAD / hour · Contract

Apply About employer

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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/

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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

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