1

Senior Machine Learning Engineer Jobs in Winnipeg, MB

Coordinate and liaise with supply, sales, engineering and customer service to ensure production ... Previous machine shop, manufacturing, aerospace, or MRO experience is considered an asset.

This position reports directly to the Senior Supervisor and your daily responsibilities will ... Scheduling, tracking, and completing preventative maintenance on all machinery and boilers

Escalate appropriately to Network Administrators, Senior Engineers, or management * Hit your ... Comfort learning and working with AI tools in a professional IT context Bonus Points For

Escalate appropriately to Network Administrators, Senior Engineers, or management * Hit your ... Comfort learning and working with AI tools in a professional IT context Bonus Points For

Escalate appropriately to Network Administrators, Senior Engineers, or management * Hit your ... Comfort learning and working with AI tools in a professional IT context Bonus Points For

Partner with functional leaders (operations, engineering, supply chain, quality, finance, IT) to ... Learning & Training opportunities Raising the Standard of Excellence since 1911 With over a century ...

University degree (BSc., Engineering or Operations Management).Minimum 5 to 8 years of full-time ... Learning and development opportunities, including workshops, ?speaker series? events, and resources ...

Showing results 41-60

Senior Machine Learning Engineer information

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

What is the difference between Senior Machine Learning Engineer vs Data Scientist?

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Winnipeg, MB? The most popular types of Machine Learning Engineer jobs in Winnipeg, MB are:
What are popular job titles related to Senior Machine Learning Engineer jobs in Winnipeg, MB? For Senior Machine Learning Engineer jobs in Winnipeg, MB, the most frequently searched job titles are:
Infographic showing various Senior Machine Learning Engineer job openings in Winnipeg, MB as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior Manager, Plans & Programs_Western Canada

Hibernian General Insurance

Winnipeg, MB

Full-time

Medical, Retirement

Posted 11 days ago


Job description

Individually we are people, but together we are Aviva. Individually these are just words, but together they are our Values - Care, Commitment, Community, and Confidence.

At Aviva Canada, we put people first, our employees, our customers, and our communities. We're proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We're not just about insurance; we're about making a real difference by protecting what matters most.

Our Global Corporate & Specialty (GCS) business unit has an exciting opportunity for a Senior Manager, Plans & Programs based in the Western region.

The Senior Manager, is responsible for the profitable growth, underwriting quality, and performance of the Plans & Programs portfolio across Western Canada. As a recognized underwriting leader, this role drives business development, strengthens broker and program partner relationships, and leads a team of underwriters in delivering sustainable growth and underwriting excellence.

Combining deep technical expertise with strong commercial acumen, the Senior Manager serves as a trusted advisor to brokers, clients, and colleagues, while coaching and developing underwriting talent and contributing to the continued success of the Programs business.

What you'll do

Portfolio Leadership & Underwriting Excellence

  • Manage the profitability, growth, retention, and underwriting performance of assigned Programs and Portfolio Solutions business.
  • Ensure underwriting quality, service standards, and portfolio management practices align with corporate objectives, underwriting guidelines, and delegated authorities.
  • Monitor portfolio performance, including premium growth, rate adequacy, loss ratios, retention, and profitability metrics.
  • Provide technical oversight and guidance on complex underwriting opportunities, referrals, manuscript wordings, and coverage solutions.
  • Analyze market trends, emerging risks, and portfolio results to identify opportunities and recommend actions to improve business performance.
  • Oversee underwriting audits, quality reviews, and remediation activities as required.
  • Support underwriting consistency and governance through effective application of policies, procedures, and risk management practices

Leadership & Talent Development

  • Lead, coach, mentor, and develop a team of underwriters.
  • Establish performance expectations, annual goals, and development plans that support employee growth and business needs.
  • Support recruitment, onboarding, succession planning, and talent management activities.
  • Deliver technical training and identify development opportunities to enhance underwriting capability across the team.
  • Foster a collaborative, high-performing culture that promotes accountability, engagement, and continuous learning.
  • Act as a trusted technical resource and escalation point for underwriting staff.

Business Development & Relationship Management

  • Build, maintain, and strengthen relationships with brokers, clients, program administrators, and other strategic partners.
  • Lead the development and presentation of business proposals for prospective and existing business opportunities.
  • Maintain a robust pipeline of new business opportunities while supporting the growth of existing Programs and Portfolios.
  • Conduct broker stewardship meetings, marketing visits, business reviews, and client presentations.
  • Identify opportunities to expand profitable business within established appetite and underwriting guidelines.
  • Promptly address and resolve broker and client issues to support long-term partnership success.

Business Planning & Operational Effectiveness

  • Support the execution of business plans designed to achieve production, profitability, pricing, and growth objectives.
  • Contribute portfolio insights and market intelligence to support business planning activities.
  • Monitor and report on monthly and annual portfolio performance, identifying variances and recommending corrective actions where required.
  • Support budget planning and forecasting activities for assigned portfolios.
  • Develop and maintain underwriting authority statements appropriate to team member capabilities and experience.
  • Identify and implement process improvements to enhance operational efficiency, service delivery, and underwriting effectiveness.

Collaboration & Risk Management

  • Promote a strong risk management culture and ensure compliance with underwriting authorities, governance standards, and regulatory requirements.
  • Monitor portfolio risk exposures and support strategies to improve underwriting results and mitigate emerging risks.
  • Partner with Claims, Actuarial, Risk Engineering, CTU, and other stakeholders to ensure sound underwriting and portfolio management decisions.
  • Support internal audits, broker reviews, peer reviews, and governance activities as required.

What you'll bring

  • University degree or equivalent combination of education and experience.
  • CIP designation required.
  • 8-10 years of commercial Property & Casualty underwriting experience.
  • 2 years minimum of people leadership experience.
  • Experience managing Programs, Portfolio Solutions, MGA, Delegated Authority, or Specialty business.
  • Strong understanding of underwriting principles, portfolio management, pricing, coverage analysis, and risk selection.
  • Proven ability to manage profitable books of business and achieve growth objectives.
  • Strong broker relationship management and business development skills.
  • Excellent analytical, communication, negotiation, and influencing abilities.
  • Demonstrated ability to manage competing priorities in a dynamic and fast-paced environment.

What makes you stand out

  • FCIP, CPCU, CRM, or other professional designation considered an asset.

What you'll get

  • The salary band for this position ranges from $100,000 - 140,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.
  • Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
  • Outstanding Career Development opportunities.
  • We'll support your professional development education.
  • Competitive vacation package with the option to purchase 5 extra days off per year.
  • Employee driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
  • Corporate wellness programs to support our employees' physical and mental health.
  • Hybrid flexible work model.

This job advertisement is for a new vacancy which has been posted both internally & externally.

Aviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.

Aviva Canada welcomes applications from all qualified individuals and has a process in place to provide accommodations for persons with disabilities at all stages of the hiring process and during employment. If you require an accommodation during the interview or hiring process, please contact your Aviva Talent Acquisition Partner so that an appropriate accommodation can be arranged.