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Senior Machine Learning Scientist Jobs in Calgary, AB

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager,you'lloperateas a key leader within the practice, accountable ...

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

Senior Software Engineer - Canada

Calgary, AB · Remote

CA$120K - CA$150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine and investigation tools work together to provide guaranteed performance lift from day one.

Our team includes machine learning engineers, data engineers, developers, and technical architects ... and senior leadership * You have development experience with Python and/or JavaScript/Typescript

University degree in computer science, engineering, data science, mathematics, or a related discipline. * 5+ years of professional experience in machine learning, data science, AI engineering, or a ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with ...

Senior Deep Learning Engineer

Calgary, AB · On-site +1

$130K - $180K/yr

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus ... Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with ...

Sr. AI Engineer

Calgary, AB · On-site

CA$91K - CA$114K/yr

  • Life

  • Retirement

  • PTO

AI or machine learning certifications (e.g., AI-900, AWS Certified Machine Learning Engineer, Google Professional Machine Learning Engineer, or equivalent) are considered an asset. Compensation: A ...

Our SimOpti intelligence platform brings AI, machine learning and simulation to power business ... Working with our data science team to integrate ML/AI models into the platform. * Integrating ...

Showing results 21-40

Senior Machine Learning Scientist information

See Calgary, AB salary details

$104.5K

$174.4K

$247.5K

How much do senior machine learning scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior machine learning scientist in Calgary, AB is $174,375.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $189,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning ScientistData Scientist
CredentialsMaster's or PhD in CS, ML, or related fieldBachelor's or Master's in CS, Statistics, or related field
Work EnvironmentFocus on developing ML models, algorithms, and researchData analysis, visualization, and business insights
Industry UsageUsed in AI-driven companies, tech firms, research labsCommon across industries for data analysis and reporting

While both roles involve working with data, Senior Machine Learning Scientists focus on developing advanced ML models and algorithms, often requiring research and deep technical expertise. Data Scientists typically analyze data to generate insights and support decision-making. The roles overlap but differ mainly in technical depth and focus area.

What is a senior machine learning scientist?

Senior Machine Learning Scientists are experienced professionals who design, develop, and implement advanced machine learning models to solve complex business or research problems. They are responsible for leading projects, mentoring junior team members, and staying updated on the latest AI and data science technologies. Their work often involves analyzing large datasets, selecting the right algorithms, and optimizing model performance for real-world applications. In addition to technical expertise, they often collaborate cross-functionally to align machine learning solutions with organizational goals.

What are the key skills and qualifications needed to thrive as a senior machine learning scientist?

To thrive as a Senior Machine Learning Scientist, you need expertise in machine learning algorithms, statistical analysis, programming (usually in Python or R), and an advanced degree (often a Ph.D.) in a quantitative field. Experience with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms, and version control systems is typically expected, along with knowledge of deploying models in production environments. Exceptional problem-solving, communication, and leadership skills help you translate complex data insights into actionable business solutions and mentor junior team members. These skills are crucial for developing innovative models, ensuring robust deployment, and driving impactful data-driven decisions.

What are some common challenges senior machine learning scientists face when deploying models to production environments?

Senior Machine Learning Scientists often encounter challenges such as ensuring model scalability, maintaining model performance over time, and addressing data drift once models are deployed to production. Collaborating closely with engineering and operations teams is crucial to streamline deployment pipelines and monitor models for real-world reliability. It’s also important to communicate findings and potential risks to stakeholders, and to regularly update models based on new data or business requirements. These aspects make strong cross-functional teamwork and problem-solving skills essential in this role.
What are popular job titles related to Senior Machine Learning Scientist jobs in Calgary, AB? For Senior Machine Learning Scientist jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Scientist jobs in Calgary, AB look for? The top searched job categories for Senior Machine Learning Scientist jobs in Calgary, AB are:
Infographic showing various Senior Machine Learning Scientist job openings in Calgary, AB as of August 2026, with employment types broken down into 1% As Needed, 63% Full Time, 33% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $174,375 per year, or $83.8 per hour.

AI Scientist & Engineer, Assurance Innovation Lab

BDO Canada

Calgary, AB • Hybrid

Full-time

PTO

Re-posted 22 days ago


Job description

Putting people first, every day

BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and insight they can trust. In turn, we offer an award-winning environment that fosters apeople-first culturewith a high priority on your personal and professional growth.

Your Opportunity

We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and scalable enterprise software engineering in our new Assurance Innovation Lab.

The Assurance Innovation Lab (ASR Labs) serves as the experimentation, innovation, and solution development engine supporting our practice. Working alongside other functions nationally - including our Innovation Operations, AI Studio - Central Lab, Central Data Team, and Innovation & Change (I&C) - you will help ideate, design, prototype, develop, and deliver scalable solutions that modernize how work gets done across our Assurance practice.

In this net new role, you will work with a team dedicated to building modern applications, intelligent workflow solutions, integrations, and AI-enabled platforms that support business transformation and operational modernization initiatives across our practice. You will be reporting to our Head of ASR Transformation, and have a dotted line to our technically astute managers in our AI Studio - Central Lab.

This hybrid role is responsible for extracting high-value insights from complex datasets, training custom large language models (LLMs), and designing, building, and deploying production-grade agentic workflows and retrieval-augmented generation (RAG) solutions. Operating under enterprise governance frameworks like ISO/IEC 42001 and the NIST AI Risk Management Framework (AI RMF), you will deliver responsible, scalable, and highly impactful AI systems that drive true business transformation.

The ideal candidate for this role will have 3-5 years of hands-on experience building, fine-tuning, deploying, and monitoring machine learning models and Generative AI solutions in an enterprise production environment. This role rests on the ability to work cross-functionally with AI Architects, AI Studio Leads, ML Engineers, Data Scientists, Full Stack Developers, and citizen developers on firm-wide strategic initiatives.

Key Responsibilities:

AI, Machine Learning & Advanced Analytics

  • Design, build, train, and optimize machine learning and AI models to support Assurance transformation initiatives

  • Develop intelligent solutions leveraging NLP, generative AI, knowledge graphs, predictive analytics, and automation capabilities

  • Support experimentation and prototyping of emerging AI technologies and use cases within Assurance

  • Evaluate model performance, explainability, reliability, and responsible AI considerations

  • Contribute to development of scalable AI-enabled workflows and intelligent operational solutions

Cross-Functional Collaboration & Business Partnership

  • Partner closely with Transformation Relationship Managers (TRMs), Assurance practitioners, Innovation & Change (I&C), Data & Analytics, and leadership teams

  • Contribute to multidisciplinary teams focused on solving business problems through technology, AI, automation, and workflow redesign

  • Support rapid experimentation, prototyping, and scaling of innovative solutions within the Assurance R&D Lab

  • Help bridge strategy, business operations, and technical execution to accelerate transformation outcomes

  • Translate complex business problems into practical analytical and AI-driven solutions

  • Participate in discovery sessions, design thinking workshops, ideation activities, and working groups

Data Engineering & Platform Enablement

  • Collect, clean, transform, and analyze large and complex datasets from multiple sources

  • Build and maintain scalable data pipelines and model integration frameworks

  • Support connected data and intelligence capabilities aligned to the broader Total Assurance Ecosystem strategy

  • Work with cloud-based environments and modern AI infrastructure to support scalable deployment and operationalization

  • Collaborate with engineering teams to productionize and operationalize solutions

Innovation & R&D Collaboration

  • Work closely with the Assurance R&D Lab to validate concepts, prototype solutions, and scale successful initiatives

  • Stay informed on emerging trends across AI, automation, Assurance technology, data science, and intelligent systems

  • Help evaluate external tools, platforms, and ecosystem opportunities relevant to Assurance Transformation

  • Contribute to a culture of experimentation, innovation, and continuous improvement

Requirements

  • Programming Languages: Expert-level Python is required. Professional proficiency in R, Scala, Java, or TypeScript is highly desirable

  • AI & LLM Frameworks: Deep experience with OpenAI API, Anthropic, Hugging Face, LangChain, LlamaIndex, and LangGraph

  • Data Science & Deep Learning: Comprehensive experience with PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy, and Matplotlib

  • Model Training: Practical knowledge of training and fine-tuning open-source LLMs/transformers (e.g., Llama, Mistral) and implementing Knowledge Graphs

  • Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases

  • DevOps / MLOps: Advanced proficiency with Docker, Kubernetes, Nvidia Triton Inference Server, and MLOps tracking platforms (MLflow, Weights & Biases)

  • Cloud Platforms: Strong working knowledge of enterprise cloud environments including Microsoft Azure (Azure AI / AI Foundry), AWS (Bedrock), or GCP

  • Architecture & Patterns: Demonstrated mastery of Retrieval-Augmented Generation (RAG) architectures and multi-Agent AI design patterns

Ideal Candidate Will Have

  • A systematic approach to problem-solving and devising practical solutions for complex enterprise bottlenecks

  • Published academic research in top-tier ML/AI conferences/journals OR demonstrated practical excellence through Kaggle competitions

  • High passion for translating complex data and multi-agent system capabilities into tangible, actionable business value

  • Strong business curiosity and problem-solving mindset

  • Passion for applying AI and data science to practical operational challenges

  • Ability to balance experimentation with scalable execution

  • Strong collaboration and stakeholder engagement skills

  • Interest in workflow modernization, intelligent automation, and future-state operating models

  • Passion for continuous learning and emerging technologies

Why Join the Assurance Innovation Lab?

This is an opportunity to help build the future of Assurance through modern platforms, intelligent workflows, and scalable AI-enabled solutions.

You will join a high-performing team to work on high-impact transformation initiatives that directly influence how the business operates and delivers value.

The role offers exposure to:

  • Enterprise transformation and innovation programs

  • AI-enabled applications and intelligent workflow solutions

  • Modern cloud and engineering ecosystems

  • Cross-functional collaboration with Assurance, AI-Studio, Data & Analytics, Innovation & Change, and leadership teams

  • Rapid experimentation and enterprise-scale delivery initiatives

  • Most importantly, you will help create practical solutions that improve how work gets done across our Assurance practice


Why BDO?
Our people-first approach to talent has earned us a spot among Canada's Top 100 Employers for 2026. This recognition is a milestone we're thrilled to add to our collection of awards for both experienced and student talent experiences.


At BDO, our people experience is guided by three core pillars-Do work with genuine care, Do what matters with purpose, and Do what's next - shaping how we support our people, serve our clients, and grow together.

Our firm is committed to providing an environment where you can be successful in the following ways:

  • We enable you to engage with how we change and evolve, being a key contributor to the success and growth of BDO in Canada.
  • We help you become a better professional within our services, industries, and markets with extensive opportunities for learning and development.
  • We support your achievement of personal goals outside of the office and making an impact on your community.
  • We foster a collaborative, inclusive environment where your ideas are valued, and you can do your best work with genuine care and purpose
  • We encourage innovation and forward thinking, empowering you to embrace what's next and help shape the future of our firm

Giving back adds up:Where company meets community.BDO is actively involved in our communities by supporting local charity initiatives. We support staff with local and national events where you will be given the opportunity to contribute to your community.

Total rewards that matter: We pay for performance with competitive total cash compensation that recognizes and rewards your contribution. We provide comprehensive benefits from day one, and a flexible personal time off policy. We're committed to supporting your overall wellbeing and provide reimbursement for wellness initiatives that fit your lifestyle.

Everyone counts:
We are committed to creating a workplace where employees can participate fully, contribute meaningfully and succeed without barriers. We are dedicated to fostering a workplace defined by respect, fairness, and a true sense of belonging for everyone. We recognize and celebrate the unique experiences, identities, and perspectives that each of us bring - and that these experiences strengthen how we work together. Our commitment extends to ensuring that our application process is both inclusive and accessible. If you require accommodation to complete the application process, please contact us.


Flexibility:
All BDO personnel are expected to spend some of their time working in the office, at the client site, and virtually unless accommodations or alternative work arrangements are in place.

Our model is a blended approach designed to support the flexible needs of our people, the firm and our clients. It's about creating work experiences that meet everyone's needs and providing flexibility to adjust when, where and how we work to meet the expectations of our role.

Code of Conduct: Our Code of Conduct sets clear standards for how we conduct business. It reflects our shared values and commitments and includes guiding principles to help us make ethical decisions and maintain trust with each other, our clients, and the public.

BDO may use artificial intelligence enabled tools to support certain aspects of the recruitment process. While these tools assist our teams, our use of AI does not replace human decision making, and all employment-related outcomes are made by BDO personnel.

More information on BDO Canada's Privacy Policy can be found here:

Privacy Policy | BDO Canada


Ready to make your mark at BDO? Click "Apply now" to send your up-to-date resume to one of our Talent Acquisition Specialists.


To explore other opportunities at BDO, check out ourcareers page.


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