1

Machine Learning Contract Jobs in Toronto, ON (NOW HIRING)

... contract (226 business days) - possible extension ONSITE 5 days - 222 Jarvis St Must Have: * 5+ years of experience developin g Artificial Intelligence and Machine Learning solutions. * Hands-on ...

Background in legal operations, legal program management, or contract management systems. * Hands-on exposure to AI, machine learning, or generative AI tools. * Prior experience working with or ...

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Please note - this is a 12-month contract opportunity* The Data Scientist will be a pivotal member ... Leverage statistical techniques, machine learning, and data mining. This role involves building ...

New

Lead API and contract testing across services and integration boundaries * Develop test tooling ... Experience validating data pipelines or machine learning systems * Familiarity with simulation ...

... contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 ... With access to professionals spanning more than 10,000 skills across AI & machine learning ...

Showing results 21-40

Machine Learning Contract information

See Toronto, ON salary details

$21K

$107.9K

$199.5K

How much do machine learning contract jobs pay per year?

As of Aug 8, 2026, the average yearly pay for machine learning contract in Toronto, ON is $107,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,351.00 and $146,968.00 per year, depending on experience, location, and employer.

What is a machine learning contract?

A Machine Learning Contract job is a temporary or project-based role where professionals develop and implement machine learning models for a company. Contractors may work on tasks such as data preprocessing, model training, evaluation, and deployment. These roles are often remote or short-term, allowing companies to hire expertise for specific projects without long-term commitments.

What are the key skills and qualifications needed to thrive in a machine learning contract, and why are they important?

To thrive as a Machine Learning Contract professional, you need a solid background in programming (Python, R), data analysis, and machine learning algorithms, usually supported by a relevant degree in computer science or a related field. Familiarity with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn, as well as experience with cloud platforms like AWS or Azure, is typically required. Strong problem-solving abilities, time management, and effective communication are standout soft skills in contract-based roles. These competencies are crucial for efficiently delivering project-based solutions, collaborating with clients, and staying adaptable to varied organizational needs.

What are the typical responsibilities and workflow for a machine learning contract?

As a Machine Learning Contract professional, you’ll often be brought in to design, build, and deploy machine learning models tailored to a client’s specific challenges, ranging from data preprocessing and exploratory analysis to model selection and performance tuning. You may also be responsible for documenting your work, presenting results to stakeholders, and advising on best practices for model integration. Contract positions frequently involve collaborating remotely with cross-functional teams and meeting project milestones within set timelines. This role is ideal for those who enjoy variety, autonomy, and leveraging their expertise across different industries and datasets.

What are the most commonly searched types of Machine Learning jobs in Toronto, ON? The most popular types of Machine Learning jobs in Toronto, ON are:
What are popular job titles related to Machine Learning Contract jobs in Toronto, ON? For Machine Learning Contract jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Machine Learning Contract jobs in Toronto, ON look for? The top searched job categories for Machine Learning Contract jobs in Toronto, ON are:
Infographic showing various Machine Learning Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 57% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $107,911 per year, or $51.9 per hour.

ML Engineer (Speech-to-Speech) - Subject Matter Expert

Vosyn

Etobicoke, ON • Remote

$250/hr

Full-time

Re-posted 22 days ago


Job description

Job Title: ML Engineer (Speech-to-Speech) - Subject Matter Expert

Level: Senior SME

Department: Software Development

Status: Contract (10-15 hours/week)

Work location: Fully Remote

Compensation: Hourly ($250)

Company Overview: At Vosyn, we embrace the exciting, game-changing world of Artificial Intelligence, driving innovation and pioneering impactful projects across various industries. Our incubator, AI Venture Lab, nestled in the heart of Office146.com, is a crucible of entrepreneurial spirit, supported by intelligent processes and industry-leading best practices. We believe in fostering a culture of flexibility, continuous improvement, and solution-focused strategies. Here, every idea is welcomed, nurtured, and has the potential to scale to new heights. Currently, we're at the forefront of a significant IPO endeavor, a truly unicorn in the making. We invite you to be part of our journey and leave your imprint on the future of AI. At Vosyn, you will have the opportunity to engage with a fast-growing global organization with diversity of thought, experience, and cultures.

About the Role: We are seeking an experienced ML Engineer SME to provide strategic guidance and technical leadership on key components of our end-to-end speech-to-speech (S2S) pipeline. As a senior project advisor, you will collaborate with the VosynCore team, identifying solutions to complex challenges, particularly in text-to-speech (TTS) model development and optimization. Your expertise will be crucial in driving project progress and ensuring our S2S pipeline meets or exceeds industry standards for quality and performance.

Key Responsibilities:

  • Provide expert-level advice and mentorship on the architecture, training, and production of text-to-speech (TTS) models
  • Guide the implementation of robust testing methodologies for TTS models using industry standards like MOS testing
  • Share expertise in distributed training, monitoring, and deployment of large-scale ML models on cloud platforms
  • Lead latency optimization initiatives in real-time systems for high-quality speech-to-speech conversion
  • Provide guidance on tuning TTS models for precise control over speech characteristics
  • Share in-depth knowledge of various TTS model architectures and waveform generation methods
  • Mentor the team on implementing advanced deep learning models for audio processing
  • Guide the development of transformer architectures for complex TTS model development

Required Qualifications:

  • 5+ years of proven experience in machine learning development focused on audio generation and TTS systems
  • Extensive expertise in audio signal processing, particularly for human voices
  • Deep experience with TTS models, including waveform generation and spectrogram-based methods
  • Proven expertise in tuning TTS models for duration control and speech characteristics
  • Strong proficiency in Python and machine learning frameworks such as PyTorch
  • Experience with advanced deep learning models like WaveNet and transformer-based architectures
  • Demonstrated experience in distributed training and deployment of ML models on cloud platforms
  • Strong understanding of evaluation metrics for TTS systems
  • Proven ability to provide technical leadership and actionable guidance
  • Excellent communication and mentoring skills

Preferred Qualifications:

  • Experience with real-time audio processing systems
  • Background in speech synthesis research
  • Knowledge of multiple languages and accents in TTS
  • Experience with ML model optimization techniques
  • Publications or patents in related fields

Additional Perks:

  • Be part of the invigorating journey of a pre-seed AI startup in stealth mode
  • Engage directly with senior management and strategic advisory board members
  • Gain valuable experience in the bleeding-edge AI space
  • Remote-first culture with flexible working arrangements

DEI and Workplace Safety: At Vosyn Inc., we are committed to fostering a diverse, equitable, and inclusive workplace where every employee feels valued and supported. We believe that diversity of thought, background, and experience enriches our company culture and enhances innovation. We are an equal-opportunity employer and encourage candidates from all walks of life to apply. As part of our commitment to creating a safe and healthy work environment, we prioritize workplace safety, adhering to all relevant regulations and promoting a culture of responsibility. We believe that a safe and inclusive workplace is essential for the well-being and success of our team members.

Recruitment Process:

  1. Initial Screening: Review of application and preliminary assessment
  2. Video Interview: In-depth discussion of ML expertise and role expectations
  3. Technical Panel Interview: Deep dive into audio processing experience and ML architecture approach
  4. Final Selection: Assessment of overall fit and alignment
  5. Offer and Onboarding: Equity compensation details and onboarding process.

Join a dynamic global organization that champions diversity in thought, experience, and culture. Our team is composed of top experts from around the world. We invite you to leverage your expertise, mentor future leaders, and thrive with us in this exciting journey.

Apply Now: Vosyn Careers


Employment Type: FULL_TIME