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Machine Learning Startup Jobs in Ontario (NOW HIRING)

Future Secure AI

We operate with startup speed and enterprise backing, building agentic AI Coworkers -autonomous ... Apply machine learning and advanced analytics to power decisionmaking within autonomous AI ...

Capital One

Senior Manager, Data Science

Toronto, ON · Hybrid

CA$184K - CA$210K/yr

When we launched as a startup we disrupted the credit card industry by individually personalizing ... Designing and contributing to highly scalable data pipelines, machine learning models, tools, and ...

Evolver

We are an innovative AI startup focused on transforming professional services through cutting-edge ... machine learning or Generative AI applications. 5+ years research experience related to next ...

HeyGen

Research Engineer

Toronto, ON

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... experience in machine learning and computer vision, demonstrating practical application of ...

Qfin

Data Scientist

Toronto, ON · On-site +1

Strong expertise in statistical modeling, machine learning, and predictive analytics (e.g ... Fast-growth startup environment with direct impact on product and P&L. * Flexible work model ...

New

Qfin

Senior Credit Risk Analyst

Toronto, ON

Exposure to alternative data and machine learning in credit decisioning. * Strong stakeholder management and presentation skills. * Experience in an Ontario fintech startup or high-growth alternative ...

Sanofi EU

Mechanic Group Lead

Brampton, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Mechanic Group Leader

Brampton, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Group Leader - Pkg. Mechanic

Unionville, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Mechanic Group Leader

Toronto, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Group Leader - Pkg. Mechanic

Brampton, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Group Leader - Pkg. Mechanic

Toronto, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Mechanic Group Lead

Maple, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

Sanofi EU

Mechanic Group Leader

Maple, ON · On-site

CA$54.52/hr

... implementation of machine modifications, moving startup of operations, trouble shooting of ... and machine learning, to analyze data and make predictions, inferences, decisions, or ...

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Showing results 1-20

All JobsMachine Learning Startup JobsMachine Learning Startup Jobs in Ontario

Machine Learning Startup information

See Ontario salary details

$23.5K

$114.7K

$210.5K

How much do machine learning startup jobs pay per year?

As of Jun 8, 2026, the average yearly pay for machine learning startup in Ontario is $114,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $147,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Startup position, and why are they important?

To succeed in a Machine Learning Startup, a strong background in computer science, statistics, and applied mathematics is essential, along with practical experience building and deploying machine learning models. Proficiency in tools such as Python, TensorFlow, PyTorch, and cloud-based platforms, as well as familiarity with data versioning and model deployment systems, is highly valuable. Adaptability, entrepreneurial thinking, and strong communication skills are crucial for thriving in the dynamic startup environment. These competencies enable effective product development, rapid iteration, and impactful collaboration within a fast-paced, resource-constrained setting.

What are the typical responsibilities and daily challenges when working at a Machine Learning Startup?

At a Machine Learning Startup, your daily tasks often include collecting and preprocessing data, training and validating models, collaborating with engineers to deploy solutions, and iterating rapidly based on feedback and performance metrics. You may also contribute to brainstorming sessions, product roadmapping, and customer discovery processes. Common challenges include working with limited labeled data, balancing research with production needs, and managing shifting priorities as the business pivots or scales. This dynamic environment provides a valuable opportunity to make a tangible impact, develop a broad skill set, and gain exposure to multiple aspects of both technology and entrepreneurship.

What is a Machine Learning Startup job?

A Machine Learning Startup job typically involves working in a fast-paced, early-stage company focused on developing and applying machine learning technologies. Employees may take on diverse responsibilities, including data collection, model development, algorithm optimization, and deployment. Since startups require adaptability, roles often blend research, engineering, and business-oriented problem-solving. These positions offer opportunities to work on cutting-edge innovations but may also demand long hours and rapid prototyping.

What are the most commonly searched types of Machine Learning Startup jobs in Ontario? The most popular types of Machine Learning Startup jobs in Ontario are:
What are popular job titles related to Machine Learning Startup jobs in Ontario? For Machine Learning Startup jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Machine Learning Startup jobs in Ontario look for? The top searched job categories for Machine Learning Startup jobs in Ontario are:
Machine Learning Startup jobs near you
Infographic showing various Machine Learning Startup job openings in Ontario as of May 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Temporary. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $114,691 per year, or $55.1 per hour.

Senior AI Engineer, Data Science

Future Secure AI

On-site

Other

Posted 7 days ago

Job description

Future Secure AI is a rapidly scaling frontierAI company codeveloped with one of the world's largest financial institutions. We operate with startup speed and enterprise backing, building agentic AI Coworkers-autonomous, reasoningcapable systems designed to partner with humans and 10x organisational performance.

With deep Csuite access and a growing international partner network, our mission is bold and simple:
Create AI Co-workers that think, act, and collaborate-redefining how work gets done.

We are expanding fast and seeking exceptional people to help build the future of autonomous AI.

The Opportunity

As a Senior Data Scientist, you will be a senior technical leader driving the development of agentic AI Coworkers, multistep reasoning systems, and enterpriseready autonomous workflows. You will architect and deploy advanced LLMdriven agents that plan, decide, and take action-safely, reliably, and at scale.

You'll shape the technical direction of our agentic AI platform, mentor emerging talent, and ensure our systems are robust, aligned, and capable of delivering highvalue outcomes in complex environments.

Your work will directly influence the evolution of how humans collaborate with AI.

What You'll Do

  • Design, build, and deploy agentic LLMdriven systems with planning, tooluse, workflow orchestration, and reasoning capabilities

  • Apply machine learning and advanced analytics to power decisionmaking within autonomous AI Coworkers

  • Enhance multistep reasoning quality, context management, and agent performance across real enterprise use cases

  • Lead MLOps initiatives across evaluation, benchmarking, safety, and quality for autonomous systems

  • Define longterm strategy for agentic AI frameworks, governance, and scalable deployment patterns

  • Collaborate with engineering, product, and executive teams to build productiongrade AI co-workers used by global clients

  • Mentor and uplift junior data scientists, raising the bar for scientific and engineering excellence

About You

You are an experienced Data Scientist with a strong record of delivering impactful ML systems and deep curiosity about the fastmoving agentic AI and LLM ecosystem. You thrive in ambiguity, communicate clearly, and take a pragmatic approach to building real, productionready intelligence.

You bring:

  • A Master's or PhD in a quantitative discipline

  • Ideally have gained experience as a software developer or have knowledge or willingness to learn typescript

  • Proven delivery of highimpact machine learning solutions in complex environments

  • Strong NLP foundations: transformers, LSTMs, CNNs, topic modelling, supervised NLP

  • Handson experience with LLM orchestration frameworks (LangChain, LlamaIndex), RAG, multiagent systems, or toolcalling architectures

  • Python focused on ML/AI and other languages

  • Experience in software development is highly desired

  • Ability to explain complex ideas clearly and influence crossfunctional stakeholders

  • Curiosity, humility, and a strong sense of ownership

  • Comfort operating in a highvelocity, evolving environment

  • Ability to attend our Sydney CBD office 1-2 days per week


Why Join Us?

  • A high-performance culture
  • State-of-the-art technology
  • Experience world-class leadership
  • Scale of impact and purpose
  • A competitive salary and a huge growth trajectory
  • Work with the best in the industry
  • Flexible work environment
  • Diversity and creativity


Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

Apply