GM
Lead Data Engineer -ML Ops
full-time•Toronto, Cambridge•CA$97k - CA$147k
About this role
<div class="content-intro"><p></p>
<p style="text-align: center;"><strong><span data-contrast="auto">Next Horizon is here. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete. </span></strong><span data-ccp-props="{}"> </span></p>
<p style="text-align: center;"><span data-contrast="auto">At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.</span><span data-ccp-props="{}"> </span></p>
<p style="text-align: center;"><span data-contrast="auto">Our path forward sharpens our focus on business performance, driven by leading technology, innovation and an agile, high-performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026, we’ll be uniting two well-established, financially strong, and trusted brands to become the strongest mutual insurer in Canada, ensuring Canadians have purpose-driven insurance options for generations to come. </span><span data-contrast="auto">Come join us.</span><span data-ccp-props="{}"> </span></p>
<p> </p>
<p></p></div><p>This position is responsible for developing and maintaining the necessary infrastructure for deploying, monitoring, and optimizing machine learning (ML) and AI models, and maintaining scalable data infrastructure. It plays a pivotal role in strategizing, designing, and implementing robust data and analytics pipelines, ensuring the scalability and reliability of our ML and AI systems, and collaborating with cross-functional teams to advance our data-driven initiatives.</p>
<p><strong>What will you do in this role:</strong></p>
<p><strong>AI/ML & Data Pipeline / AI/ML Model Deployment</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li>Design, build, and maintain pipelines that support the development and maintenance of AI/ML models, data ingestion, transformation, and storage of large-scale datasets.</li>
<li>Optimize data workflows to ensure efficient data processing and availability.</li>
<li>Develop and implement best practices for deploying, monitoring, and managing robust data and analytics pipelines and AI/ML models in production.</li>
<li>Collaborate with data scientists to ensure seamless integration and deployment of AI/ML solutions. </li>
</ul>
<p><strong>Strategy and Planning</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li>Define the vision, strategy, and roadmap for data engineering and MLOps/AgentOps in alignment with the company's goals.</li>
<li>Ensure the scalability, reliability, and efficiency of AI/ML models and data pipelines. </li>
</ul>
<p><strong>Team Leadership and Development</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li>Lead and motivate a high-functioning engineering team, providing coaching to empower members and delivery squads.</li>
<li>Encourage innovation, experimentation, and best practices within the data engineering team.</li>
<li>Allocate resources, manage workloads, and set goals to ensure timely, budget-compliant project completion. </li>
</ul>
<p><strong>Security and Compliance</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li>Ensure that data engineering and MLOps/AgentOps processes adhere to industry standards, regulatory requirements, and security best practices.</li>
<li>Implement measures to safeguard sensitive data and protect against potential vulnerabilities </li>
</ul>
<p><strong>Continuous Improvement</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li>Stay updated on the latest advancements in data engineering and MLOps/AgentOps technologies and methodologies.</li>
<li>Implement best practices and drive continuous improvement initiatives to enhance the efficiency and effectiveness of our AI/ML systems.</li>
</ul>
<p><strong>What will you need to succeed in this role:</strong></p>
<ul data-editing-info="{"applyListStyleFromLevel":false,"unorderedStyleType":1}">
<li><span class="TextRun SCXW115496175 BCX8" lang="EN-CA" data-contrast="none"><span class="NormalTextRun SCXW115496175 BCX8">Bachelor’s or </span><span class="NormalTextRun ContextualSpellingAndGrammarErrorV2Themed SCXW115496175 BCX8">Master’s degree in Computer Science</span><span class="NormalTextRun SCXW115496175 BCX8">, Data Engineering, Software </span><span class="NormalTextRun SCXW115496175 BCX8">Engineering</span><span class="NormalTextRun SCXW115496175 BCX8"> or a related field.</span></span><span class="EOP SCXW115496175 BCX8" data-ccp-props="{"134233117":true,"134233118":true,"335557856":16777215}"> </span></li>
<li>Demonstrated experience (5+ years) in data engineering, machine learning operations, or related fields, including team leadership or mentoring role.</li>
<li>Advanced proficiency in programming languages such as Python, Java, or Scala. Comprehensive knowledge of data pipeline frameworks (e.g., Databricks) and MLOps tools (e.g., MLflow, Kubeflow).</li>
<li>Extensive hands-on experience with cloud platforms (e.g., AWS, Google Cloud, Azure), CI/CD pipelines, containerization/orchestration tools (e.g., Docker, Kubernetes).</li>
<li>Exceptional problem-solving and analytical skills, with in-depth expertise in MLOps/AgentOps architecture, data modeling, and database systems.</li>
<li>Strong leadership and team management capabilities, with the ability to motivate and inspire team members. Excellent communication and interpersonal proficiency.</li>
<li>Ability to excel in a fast-paced and dynamic environment. Proven adaptability and eagerness to adopt new technologies and methodologies.</li>
<li>High attention to detail and a commitment to delivering high-quality solutions. Ability to prioritize tasks and manage multiple projects concurrently.</li>
</ul>
<p><span style="color: rgb(255, 255, 255);">#LI-Hybrid</span></p>
<p> </p>
<p>The expected base salary range for this position is $ 97,500.00 - $ 147,500.00. Depending on your relevant experience, skills, qualifications, market conditions and business needs, base compensation may vary. You have the potential to earn more through Gore Mutual’s discretionary bonus program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.</p>
<p>Please note: This range reflects the expected base salary for this role but may not represent the full compensation range for all experience and skill levels. During the recruitment process, we will discuss and consider how your unique qualifications align with the broader range for this position.</p>
<p>Gore Mutual is proud to offer a comprehensive total rewards package which includes extended health and dental benefits, disability insurance, retirement plan matching, paid time off, recognition and perk programs.</p>
<p> </p><div class="content-conclusion"><p style="text-align: left;"><strong><em>This posting pertains to an existing vacancy that is actively being filled.</em></strong></p>
<p style="text-align: center;"> </p>
<p style="text-align: center;"><strong>Accessibility for applicants</strong></p>
<p style="text-align: center;">Gore Mutual Insurance Company is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process.</p>
<p style="text-align: center;">If you require accommodation because of a disability, we will work with you to meet your needs. <a href="mailto:[email protected]">Contact us</a> and a human resources representative will consult with you to determine an appropriate accommodation.</p>
<p style="text-align: center;">Should you request an accommodation during the interview process, please notify your Talent Acquisition Consultant.</p></div>
What you'll do
- The Lead Data Engineer is responsible for developing and maintaining infrastructure for deploying and optimizing machine learning models. This role involves strategizing and implementing data and analytics pipelines while collaborating with cross-functional teams.
About Gore Mutual Insurance
Gore Mutual has a long-standing tradition of supporting Canadian communities. As Canada’s first property and casualty insurer, we’ve been proudly built by and for Canadians for over 185 years. Insurance that does good isn’t just what we do—it’s why we exist.
Now, we’re building on that legacy. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete. Our path forward sharpens our focus on business performance and our ambition to transform our company—and our industry—for the better.
With our intent to merge with Beneva in 2026, we’ll unite two well-established, financially strong, and trusted brands to become the strongest mutual insurer in Canada—giving Canadians purpose-driven insurance options for generations to come.
When you join Gore Mutual, you’ll be empowered to Lead the way, make a difference, and grow your career. We believe true leadership happens at every level and are committed to building an inclusive, diverse, and collaborative workplace—a place where people are empowered to lead, share ideas, and make meaningful contributions.
Here, your ideas matter, your voice is heard, and your work will drive real impact. If this sounds like a place where you want to be, come join us.
Ready to join Gore Mutual Insurance?
Take the next step in your career journey
Frequently Asked Questions
What does Gore Mutual Insurance pay for a Lead Data Engineer -ML Ops?
Gore Mutual Insurance offers a competitive compensation package for the Lead Data Engineer -ML Ops role. The salary range is CAD 98k - 148k per year. Apply through Clera to learn more about the full compensation details.
What does a Lead Data Engineer -ML Ops do at Gore Mutual Insurance?
As a Lead Data Engineer -ML Ops at Gore Mutual Insurance, you will: the Lead Data Engineer is responsible for developing and maintaining infrastructure for deploying and optimizing machine learning models. This role involves strategizing and implementing data and analytics pipelines while collaborating with cross-functional teams..
Is the Lead Data Engineer -ML Ops position at Gore Mutual Insurance remote?
The Lead Data Engineer -ML Ops position at Gore Mutual Insurance is based in Toronto, Canada and Cambridge, Ontario, Canada. Contact the company through Clera for specific work arrangement details.
How do I apply for the Lead Data Engineer -ML Ops position at Gore Mutual Insurance?
You can apply for the Lead Data Engineer -ML Ops position at Gore Mutual Insurancedirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.