48 AI Leadership jobs in Canada

Job Description

Our client is looking for a highly skilled Machine Learning Engineer to join their growing team in Mississauga. This role is ideal for a technically strong and experienced ML professional who thrives in a fast-paced, collaborative environment and is passionate about delivering scalable machine learning solutions on distributed systems such as Hadoop.

Key Responsibilities:

• Design, develop, and implement machine learning models using Spark ML for predictive analytics
• Build and optimize end-to-end training and inference pipelines on distributed platforms
• Process and analyze large datasets to uncover insights and engineer effective features
• Work closely with data engineers to integrate ML models into existing data pipelines
• Fine-tune models and hyperparameters to maximize performance and accuracy
• Develop scalable solutions for both real-time and batch inference
• Continuously monitor deployed models and address any performance issues
• Keep up-to-date with the latest tools, frameworks, and best practices in machine learning and distributed computing

• 10+ years of experience as a Machine Learning Engineer or similar role
• Expertise in Apache Spark and Spark MLlib
• Solid understanding of predictive modeling techniques (e.g., regression, classification, clustering)
• Hands-on experience with distributed systems such as Hadoop
• Proficiency in Python, Scala, or Java
• Strong grasp of data preprocessing and feature engineering methodologies
• Familiarity with model evaluation metrics and production deployment practices
• In-depth knowledge of distributed computing and parallel processing principles

Job Description

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

As a Machine Learning engineer, you’ll work on data ingestion and processing using various Natural Language Processing (NLP) tools. You will also work on building AI agents, fine-tuning LLMs, and building chatbots.

Key responsibilities include:

• Design, build, and maintain AI Agents using Langchain and other similar tools.

• Fine-tune and test LLMs on various verticals explored by Qorsa.

• Develop and deploy applications using Docker and Kubernetes.

• Improve on our existing technologies including data processing, natural language pipelines, and building knowledge graphs

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

Qorsa Corp is a Canadian technology company pioneering quantum-proof AI solutions for governments, enterprises, and institutions. We build and integrate advanced machine learning with cryptographically agile systems built for the post-quantum era to help our clients better understand and protect their data.

Job Description

Who We Are:

Muniworth is an innovative SaaS startup dedicated to municipal financial forecasting, empowering local governments to optimize budgeting and strategic financial planning. We are currently building an advanced Machine Learning and AI team to develop internal tooling, enhance our web applications, and create customized solutions for our municipal clients. If you're passionate about leveraging machine learning to drive impactful real-world solutions, Muniworth is the ideal place for you.

Who You Are:

You're an experienced Machine Learning Engineer excited by the prospect of working closely with a talented ML and AI team, under the guidance of our brilliant Lead ML Engineer. You thrive in environments with varied, challenging projects ranging from classic supervised and unsupervised ML tasks to advanced NLP, LLM, and RAG implementations. You're highly proficient with ML frameworks and libraries and ML Ops tools, and love finding innovative ways to apply ML and AI in solving complex problems.

What You'll Do:

• Design, build, and deploy robust machine learning pipelines and model serving infrastructure, ensuring reliable ML workflows from training to production.
• Write clean, maintainable code following software engineering best practices - while this isn't a senior engineering role, candidates should have demonstrated competency in creating readable, well-structured solutions that support collaborative development.
• Collaborate closely with our Lead ML Engineer and ML/AI team on projects spanning classical ML techniques, including feature engineering, dimensionality reduction, clustering, and classification, as well as NLP, Large Language Models, and RAG.
• Optimize model performance and scalability, leveraging your expertise in ML frameworks, model optimization, and distributed computing systems.
• Develop internal ML tools and customized AI-driven solutions for municipal clients, significantly influencing our product direction and company strategy through advanced analytics and predictive modelling.
• Own and manage specific ML-focused projects, balancing responsibilities between model maintenance, performance monitoring, and research into new ML approaches and techniques.

Requirements

What You Bring:

• 3+ years of industry experience in machine learning engineering.
• Proficiency using PyTorch/TensorFlow for implementing custom neural networks and training processes.
• Demonstrated experience writing clean, maintainable code with attention to software engineering best practices.
• Experience using transformer libraries (e.g. Hugging Face) for text classification.
• Experience utilizing traditional ML algorithms creatively to solve complex classification tasks.
• Experience using MLflow or similar for experiment tracking and model registry
• Familiarity using Docker for containerization and orchestration
• Familiarity using Apache airflow for pipeline automation
• Familiarity using Fast API/Flask for model serving APIs
• Familiarity with GitHub Actions for CI/CD
• Exposure to using Redis and Elasticsearch for caching and search
• A master’s degree in computer science, mathematics, statistics, or a related field—or significant practical experience demonstrating equivalent expertise beyond an undergraduate level.
• Excellent problem-solving abilities and strong communication skills, with the capability to articulate complex technical concepts clearly.
• Enthusiasm for innovation, adaptability, and actively contributing to team objectives beyond traditional role boundaries

Benefits

Why Join Muniworth:

• Competitive salary and comprehensive health and dental benefits.
• Flexible working hours (40 hours/week), tailored to your preferred schedule.
• Collaborative, intellectually stimulating environment emphasizing mathematics, innovation, and technical excellence.
• Modern, welcoming office located centrally in downtown Victoria, BC—100% in-person role.
• Regular team-building events and optional social activities.
• Directly influence critical municipal financial infrastructure, making a tangible impact on communities and local governments.
• For an ideal candidate with exceptional experience, we are open to offering compensation beyond the listed salary range.

Hiring Process:

We're actively hiring and eager to onboard exceptional talent as soon as possible. If you're excited by the intersection of data engineering and machine learning, thrive in a dynamic startup environment, and are motivated by meaningful work that impacts municipal governance, we'd love to connect with you. Please include a link to your public GitHub repository!

Job Description

Salary: $100,000-$25,000+ yearly salary + benefits (See below for more details)

About us:

Spring Financial is revolutionizing financial access for Canadians, providing smart credit-building, mortgage, and lending solutions. Millions struggle with high-interest debt and limited financial optionswere here to change that.
As one of Canadas fastest-growing fintech companies, annually we help 1 million customers explore their financing options with easeonline, via text, or over the phone. Our dynamic, innovative team thrives on collaboration, growth, and making a real impact.
To learn more about our products please visit our website here:

NOTE: This is a full-time, permanent, hybrid position in downtown Vancouver, with 3 set days in the office and 2 WFH.

Job Overview:

As a Machine Learning Engineer II, you independently design, build, and maintain machine learning systems that deliver impact for our customers and business. You are responsible for deploying reliable, scalable solutions from credit scoring models to intelligent automation and LLM-powered features. You work across the stack to connect ML systems with real user value.

You own end-to-end workflows: from data ingestion and transformation to model training, validation, and online inference. You actively contribute to model quality, observability, and performance optimization. You also help standardize development practices, CI/CD, and deployment tooling for ML systems.

You are expected to integrate modern AI techniques including LLM APIs, embeddings, and generative workflows where appropriate, and help evaluate how they can enhance products and operations. You use AI development tools to accelerate delivery and improve testing and debugging. You also build and maintain automated data pipelines and model services, working across real-time and batch systems.

You work closely with product managers, data scientists, and business stakeholders to clarify problems, evaluate feasibility, and align technical solutions with strategic outcomes. You are a key contributor to the evolution of Springs ML platform and culture.

What youll do:

• Own development of production-grade ML and AI systems from data to deployment.
• Build automated pipelines for training, feature engineering, and model serving.
• Use AI tools to improve development speed and integrate AI capabilities (e.g. LLMs) into products.
• Optimize systems for performance, latency, and cost.
• Collaborate with cross-functional stakeholders to scope projects and communicate results.
• Monitor, retrain, and improve models based on feedback and system metrics.
  
  

What You Should Already Have:

• Experience deploying machine learning models into production systems.
• Proficiency in Python and tools such as scikit-learn, TensorFlow, PyTorch, or HuggingFace.
• Strong understanding of model lifecycle, MLOps, and data pipeline design.
• Skills in inference optimization.
• Ability to collaborate with data, product, and business teams on impactful ML features.
• Experience with testing, monitoring, and CI/CD for ML systems.
• Know-hows on cost/benefit analysis for different ML solutions, e.g. Lambda vs. Sagemaker Inference, OpenAI vs. xAI API.
• Comfortable working with AI technologies (LLMs, embeddings, etc.) in applied settings.

What We Will Give You:

• Competitive annual salary ranging from 100,000 to 125,000+ , reflective of experience and impact.
• Comprehensive benefits package, including extended health, dental, and vision coverage with 100% of monthly premiums covered by the Spring.
• GRSP matching program to support your long-term financial goals.
• Transit-Friendly Employer (Transit allowance).
• A modern, collaborative workspace in the heart of downtown Vancouver.
• Ongoing career growth opportunities and the chance to help shape Spring Financials technology strategy and team culture.

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Please note : Upon applying, our Talent Acquisition team will review your resume. If you qualify, we will reach out to learn more about your experience and answer any questions you may have about the role, benefits, compensation, and more. Due to high application volume, we may not be able to respond to everyone.

Thank you for your interest! We appreciate your time and look forward to reviewing your application!

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

The Software-Hardware System Optimization Lab continuously improves the power efficiency and performance of smartphone products through software-hardware systems optimization and architecture innovation. We keep tracking the trends of cutting-edge technologies, building the competitive strength of mobile AI, graphics, multimedia, and software architecture for mobile phone products.

About the job:

• Work on machine learning research, in particular for continual learning and their application in large language models (LLMs).

• Evaluate algorithms on general ML benchmarks or large foundation models such as LLMs.

• Keeping up-to-date on recent advances in related fields.

Huawei Canada has an immediate 12-month contract opening for a Researcher.

About the team:

Founded in 2012, the Noah’s Ark lab has evolved into a prominent research organization with notable achievements in academia and industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to enhance state-of-the-art research while integrating innovations into the company's products and services, including LLMs, RL, NLP, computer vision, AI theory, and Autonomous driving.

About the job:

• Participate in the innovative LLMs reasoning and LLMs empowered AI agent research project;

• Implement algorithms for proposed models and applications, deploy into internal product;

• Work closely with researchers in the team;

• Keeping up-to-date on selected areas of ML and writing scientific reports;

• Provide insight report on the latest literature work.

Job Description

Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: -recruitment

Opportunity is with one of Canada's fastest growing, well-funded, Series-B tech startups in the AI / ML domain.

Starboard Recruitment, on behalf of our client, is searching for an experienced Sr Machine Learning Engineer.

Our team will reach out to qualified candidates and discuss in further detail.

Key Responsibilities

• AI Strategy Development – Partner with the Director of R&D to define and execute the company’s AI strategy, focusing on geoscientific applications.

• Full-Cycle ML Leadership – Manage all aspects of the machine learning lifecycle, from data preprocessing to model deployment and performance monitoring, ensuring a streamlined and effective process.

• Innovative ML Architectures – Design and implement a broad spectrum of machine learning solutions, spanning computer vision, time series forecasting, and geospatial data analysis, while integrating cutting-edge technologies and methodologies.

• MLOps Best Practices – Drive the adoption of robust MLOps frameworks, including CI/CD pipelines for ML models, to enable smooth and scalable AI deployments.

• AI Infrastructure & Optimization – Enhance AI infrastructure and workflows, focusing on performance, scalability, data pipeline efficiency, and automation across all ML processes.

• Cross-Disciplinary Collaboration – Work closely with data engineers, scientists, and geoscientists to establish a well-integrated, end-to-end ML ecosystem within the company.

• Continuous AI Advancement – Regularly improve the efficiency, reliability, and impact of AI-driven systems through iterative optimizations and refinements.

• Geospatial ML Expertise – Familiarity with geospatial databases such as PostGIS and GeoPandas is highly desirable.

Experience:

• At least 7 years of hands-on experience in machine learning engineering, with a strong record of successfully deploying ML solutions into production environments.

Technical Proficiency:

• Expert-level Python programming skills and deep knowledge of ML frameworks, including PyTorch, scikit-learn, and inference engines like ONNX Runtime and OpenVINO.

• Strong grasp of various ML algorithms, architectures, and their real-world applications.

• Experience working with large-scale datasets and cloud computing environments, particularly AWS.

• Proficiency in software engineering best practices, version control systems, and CI/CD methodologies.

• Hands-on experience with containerization, orchestration, and microservices-based architectures.

• Solid understanding of data security, privacy considerations, and compliance requirements in AI-driven applications.

Leadership & Soft Skills:

• Proven ability to lead and mentor ML teams through complex projects.

• Strong analytical and strategic thinking skills to solve challenging AI problems.

• Exceptional communication skills, capable of conveying technical concepts to both technical teams and executive stakeholders.

• Strong project management capabilities, with the ability to oversee multiple initiatives simultaneously.

• Passion for continuous learning and adaptability in the ever-evolving field of machine learning.

Education:

• Master’s or Ph.D. in Computer Science, Machine Learning, or a related discipline. Industry certifications and contributions to the ML community (such as research publications or open-source projects) are a strong plus.

Follow Starboard Recruitment on LinkedIn for ongoing job opportunities, market updates and advice: -recruitment

Job Description

Salary:

About TheAILabb:

TheAILabb is a leading innovation company specializing in AI-powered digital solutions, mobile app development, and emerging technologies. We leverage data-driven insights to enhance digital experiences and drive business growth. We are looking for a Machine Learning (ML) Developer to help translate raw data into meaningful insights that drive strategic decision-making.

Role Overview:
As anML Developer at AILabb , you will be responsible for developing and optimizingmachine learning models , integrating AI-driven features into applications, and collaborating with data scientists, engineers, and product teams to build next-gen intelligent solutions. You will work on a variety of projects, fromcomputer vision andNLP topredictive analytics andrecommendation systems .

Key Responsibilities:
Model Development & Optimization: Design, implement, and optimizeML models for various AI applications.
Data Processing & Feature Engineering: Clean, preprocess, and transform structured and unstructured data for ML pipelines.
Model Deployment & MLOps: Deploy models into production using tools likeTensorFlow Serving, MLflow, or Kubeflow .
AI Integration: Embed ML capabilities into mobile apps, web platforms, and enterprise applications.
Performance Monitoring & Continuous Learning: Track model performance, retrain models, and enhance accuracy.
Collaboration: Work closely withdata engineers, software developers, and product managers to align AI solutions with business goals.
Research & Innovation: Stay updated on the latest advancements in AI/ML and apply new techniques to improve solutions.Required Skills & Qualifications:
Programming & ML Frameworks:
Proficiency inPython (NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch).
Experience withdeep learning architectures (CNNs, RNNs, Transformers).
Strong understanding ofsupervised and unsupervised learning techniques .
Data Handling & Processing:
Experience withSQL and NoSQL databases (PostgreSQL, MongoDB).
Knowledge ofbig data technologies (Spark, Hadoop) is a plus.
Cloud & Deployment:
Familiarity withAWS, GCP, or Azure AI/ML services.
Experience deploying models usingDocker, Kubernetes, or serverless architectures .
MLOps & Model Performance Optimization:
Understanding ofmodel lifecycle management, A/B testing, and continuous learning .
Experience withmodel monitoring and drift detection .

Soft Skills:
Strong problem-solving and analytical thinking.
Ability to work in a fast-paced, agile development environment.
Excellent communication skills for collaborating with cross-functional teams.

Nice-to-Have:
Experience withNLP, Generative AI (LLMs), or Computer Vision .
Knowledge ofReinforcement Learning or Time-Series Forecasting .
Familiarity withedge AI for mobile and IoT applications.

Why Join Us?

Work on large-scalecloud-based data platforms with cutting-edge technologies.
Collaborate with a dynamic, innovative, and data-driven team.
Competitive salary
Opportunities for career growth and continuous learning.

Why youll love TheA I Labb?

We are proud to be certified as a Great Place to Work, Canada. We're a motivated team with laser-focused mission to create exceptional experiences. At TheAILabb, our culture is geared towards creativity, collaboration, and flexibility.

Acknowledge and recognize employee efforts by having awards (Employee of the month, Employee with Most Growth, Leadership Award etc.)

We encourage a healthy lifestyle by incorporating fitness challenge incentives in our Company

TheAILabbs strong values and principles guide our employees to work with honesty, integrity, teamwork, and empathy.

At TheAILabb, we believe diversity and inclusion is a strength we cultivate. We are proud to be an equal opportunity employer, and we do not discriminate based on race, gender, ethnicity, citizenship, national origin, religion, sexual orientation, age, marital status, disability, veteran status or any other legally protected status.

Our work environment welcomes equity, inclusiveness, and diversity by providing accommodations throughout the recruitment process and during your employment here. If you require accommodation, please let us know and we will work with you to meet your needs. Please contact us at

So, if you are looking for your next challenge, then this is your chance to join our team of exceptionally talented, creative, and innovative professionals working towards a unified goal.