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Machine Learning Contract information

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$21K

$107.9K

$199.5K

How much do machine learning contract jobs pay per year?

As of Jun 13, 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 job?

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 the Machine Learning Contract position, 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 position?

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:
Machine Learning Contract jobs near you
Consultant/Senior Consultant, Financial Crimes Analytics (12 Month Contract)

Consultant/Senior Consultant, Financial Crimes Analytics (12 Month Contract)

Deloitte

Toronto, ON • Hybrid

Contractor

Life, PTO

Posted 21 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Type: Temporary Contract 
Work Model: Hybrid 
Reference code: 133146   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON

Our Purpose

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.


By living our Purpose, we will make an impact that matters.

  • Have many careers in one Firm.
  • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
  • Learn from deep subject matter experts through mentoring and on the job coaching
--

Would you like to further develop your career with our exponentially expanding Financial Engineering and Modeling group? Are you up for the challenge to help the most sophisticated Canadian and International clients to solve their challenging problems?

What will your typical day look like?

In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you’ll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.
As part of the AML Analytics team, you will play a pivotal role in the clients’ Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.
You will also have exposure to broader quantitative areas relevant to financial crimes — customer behaviour modelling, scenario modelling, and the application of machine learning and AI to detection, tuning, and investigator workflow.

About the team

Deloitte’s Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.
Our work is often high profile, high impact, and highly rewarding. If you’re looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you’ll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It’s all possible at Deloitte.

Enough about us, let’s talk about you

Experience

  • Consultant: 1–3 years with contribution to one or more full-cycle engagements — Full Validation, Annual Assessment, or a scoped control-testing engagement delivered end-to-end
  • Senior Consultant: 3–7 years progressive, primary track well-established with demonstrable cross-track exposure; led or served as primary reviewer on 2+ full-cycle engagements with sign-off accountability; scoped engagements end-to-end and reviewed junior deliverables
  • Direct exposure to at least one financial crimes model type (TM, CRR, Screening) or control domain (transaction monitoring operations, KYC/CDD/EDD, sanctions operations, SAR/STR reporting)
  • Relevant background in at least one of: financial crimes model validation, model development or tuning, quantitative risk analytics, financial crimes compliance, internal audit, or regulatory/control testing

Regulatory & Domain Knowledge

  • Working knowledge of US and Canadian AML/ATF frameworks — BSA/AML, PCMLTFA, FINTRAC, OFAC, FinCEN — and the end-to-end AML program
  • Strong understanding of AML/ATF, sanctions, ABAC, and KYC/CDD/EDD processes
  • Validation track: familiarity with model risk management guidance (SR 11-7 / OCC 2011-12, OSFI E-23) and the role of model validation within a three-lines-of-defence framework
  • Oversight track: familiarity with control design and operating-effectiveness assessment methodologies and enterprise issue management frameworks (documentation, rating, action plan, closure)
  • Senior Consultant: in-depth US and Canadian framework knowledge, with UK FCA and EU AMLD awareness where cross-border work is likely

Technical Skills

  • Proficiency in at least one of Python, R, SAS, or SQL; data extraction, quality checks, and reconciliation against source systems
  • Validation track: reads and interprets model code, business-rule logic, and data transformation steps; contributes to independent replication or outcome analysis
  • Oversight track: structured working-paper documentation with articulated sampling technique, sample size, test procedure, and results
  • Senior Consultant: designs and executes independent validation test plans (outcome analysis, sensitivity, benchmarking, replication) or oversight test plans with defensible sampling strategy and walkthrough scoping; reviews ATL/BTL tuning and performance monitoring reports or designs testing methodologies

Communication & Delivery

  • Clear written communication — drafts validation report sections, working papers, or findings with supporting evidence and articulated rationale
  • Organizes evidence files and testing artifacts in a structured, auditable manner
  • Comfortable in client-facing discussions with model developers, process owners, and control operators
  • Self-directed execution on scoped tasks with minimal day-to-day supervision; willing to work on-site at client premises in Toronto or remotely within Canada
  • Senior Consultant: authors complete validation or executive oversight-testing reports with clear assessment conclusions, rating rationale, and actionable recommendations; manages stakeholders at senior working-level; mentors consultants and analysts

Education

  • Bachelor's degree. Quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics, Finance) preferred for validation-track candidates; Accounting, Business, Economics, or Law acceptable for oversight-track candidates
.

Preferred Qualifications

  • Master's or PhD in a quantitative field; CAMS, FRM, CFCS, or CFE
  • Hands-on experience with commercial AML/sanctions platforms — Actimize, Fircosoft, LexisNexis Bridger, Verafin, Oracle FCCM, SAS AML, SymphonyAI Sensa, World-Check
  • Validation depth: coverage assessment, typology-to-rule mapping, ATL/BTL tuning, sanctions list completeness/timeliness testing, OFAC SDN matching verification, resting criteria review; validation of vendor-sourced models including sandbox testing; validation of AI/ML financial crimes models (training labels, feature selection, overfitting, stability, interpretability)
  • Oversight depth: 2LOD/3LOD experience in financial crimes; data quality and lineage review for financial crimes models; enterprise oversight testing and issue management lifecycles at large financial institutions
  • Prior experience at a professional services firm serving financial services, or within model risk / financial crimes compliance at a large financial institution; involvement in regulatory examinations, MRA/MRIA or consent order remediation, or enforcement action response
  • Machine-learning concepts applied to financial crimes (feature engineering, training-label design, interpretability); sensitivity analysis and benchmarking; SQL-heavy data analytics for sample selection and outcome analysis; version control (Git/GitHub)
  • Familiarity with FATF, Wolfsberg, Egmont, and ACAMS publications
  • Multi-jurisdictional validation or oversight experience (UK FCA, EU AMLD, MAS, HKMA, or other non-North-American regulators)
Total Rewards


The salary range for this position is $68,000 - $102,000 (Consultant) or $84,000 - $126,000 (Senior Consultant), and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.
Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

Our promise to our people: Deloitte is where potential comes to life.

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.
You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.
Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.
Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.
The next step is yours

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan, Reconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent  recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.

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