Lead Machine Learning Engineer

Remote from: Canada
Salary, yearly, CAD: 156,000 - 251,000
Department: Data Science & Analytics
Employment type: Full Time,
Job posted: 10 Jun 2026
Apply before: 10 Jul 2026
Experience level: Senior
Views / Applies: 43 / 8

Software design and delivery, together.

Actively Hiring

AI Summary

This Lead Machine Learning Engineer role at Thoughtworks involves designing and deploying scalable ML systems using modern architectures. The position requires strategic thinking to align technical solutions with business goals, hands-on coding, and leadership in cross-functional teams. Key responsibilities include developing ML pipelines, advocating for Responsible AI, and staying current with industry advancements. The role is suited for experienced engineers who can navigate complex challenges and drive innovation in high-stakes projects.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role demands deep technical expertise, strategic leadership, and the ability to manage high-stakes projects, placing it at a senior level but not at the most principal tier, hence difficulty 4.

Salary Analysis

AI Insight The offered salary range of $156,000 to $251,000 CAD is competitive, sitting at the higher end of the Canadian market for Lead Machine Learning Engineers (typically $120,000-$250,000). This reflects the seniority and impact of the role.

Key Skills

Machine Learning Python TensorFlow PyTorch MLOps CI/CD Distributed Systems Scikit-learn Kubeflow Leadership

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the Lead Machine Learning Engineer position at Thoughtworks. With extensive experience in designing and deploying scalable ML systems, I am excited about the opportunity to lead technical initiatives and drive innovation in a collaborative environment. My background includes leading cross-functional teams, implementing MLOps practices, and ensuring responsible AI adoption. I am confident that my strategic mindset and hands-on technical skills align perfectly with the requirements of this role.

Thank you for considering my application. I look forward to the possibility of contributing to Thoughtworks' success.

Sincerely, [Your Name]

Possible Interview Questions

How do you translate a client's business problem into a technically feasible ML solution?

I start by understanding the problem's success metrics and constraints, then map them to ML tasks. I conduct feasibility studies, consider data availability, and propose iterative approaches. For example, for a fraud detection problem, I would analyze transaction data, explore models like XGBoost, and plan deployment with monitoring.

Describe your experience with building scalable ML pipelines. What tools and practices do you use?

I have built pipelines using tools like MLflow for tracking, Kubeflow for orchestration, and CI/CD for automated deployment. I ensure modularity and reproducibility. At a previous job, I designed a pipeline that processed terabytes of data daily, using Spark for preprocessing and TensorFlow for model training.

How do you ensure responsible AI in your projects?

I prioritize fairness, transparency, and accountability. I use bias detection tools, document model decisions, and involve ethicists. In one project, we audited a hiring model for demographic parity and adjusted features to reduce bias.

Can you give an example of a time you led a team through a complex technical challenge?

We had a latency issue in a real-time recommendation system. I led a root cause analysis, identified bottlenecks in feature engineering, and guided the team to optimize with caching and model quantization. We reduced latency by 60%.

How do you stay current with advancements in machine learning?

I follow top conferences like NeurIPS and read papers on arXiv. I also participate in internal tech talks and experiment with new tools. Recently, I explored large language models and evaluated their application in our customer support system.

Lead Machine Learning Engineers at Thoughtworks use modern architectures to develop end-to-end scalable machine learning systems and applications. They use their specialized depth and breadth of knowledge to impact the achievement of client, project or service objectives and advocate for ways of working to promote and deliver excellence. They operate within the framework of functional policies, navigate through intricate challenges and apply their proficiency to contribute to the success of high-stakes projects. Their leadership extends beyond technical prowess, encompassing strategic thinking and effective collaboration to drive innovation and deliver solutions that meet and exceed organizational goals.

As a lead machine learning engineer on projects, you will be leading the design of technical solutions or perhaps overseeing a program inception to build a new system and/or application. Alongside hands-on coding, as a key influencer, you will shape the trajectory of machine learning engineering initiatives, playing a pivotal role in advancing the field and ensuring impactful outcomes for the broader objectives of the company.

Job responsibilities

You will embrace a strategic mindset, contributing to the direction of machine learning (ML) initiatives and aligning technical solutions with broader organizational goals.
You will play a pivotal role in program inception, shaping the development of new systems and applications from idea to reality, overseeing technical feasibility and resource allocation.
You will leverage your deep understanding of modern architectures to lead the development of scalable and maintainable ML systems, ensuring optimal performance and efficiency.
You will translate client needs into technically feasible and impactful ML applications, driving solution design and deployment within complex, high-stakes projects.
You will own the development and maintenance of ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation.
As a key influencer, you will champion Responsible AI and effective ways of working within the team, advocating for a culture of excellence and continuous improvement.
You will navigate intricate technical challenges with proficiency, employing your specialized knowledge to troubleshoot issues and guide the team towards successful resolutions.
You will stay at the forefront of the evolving field of machine learning, actively seeking out and implementing new technologies and advancements to ensure Thoughtworks remains a leader in innovation.
You will foster a collaborative environment, effectively leading your team through hands-on coding alongside mentorship and guidance, empowering individual growth and knowledge sharing.
You will measure and analyze the impact of ML initiatives, iteratively refining approaches and ensuring solutions deliver tangible value to clients and the organization.

Job qualifications

Technical Skills

You have experience in developing a technical vision and strategy, keeping it relevant and aligned to the business needs.
You can design and execute cross-functional requirements based on business priorities.
You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code using Python.
You have experience with distributed systems and scalable architectures to handle large-scale ML applications.
You have experience with building, deploying and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch.
You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML.
You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles.
You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc.
You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP and/or Databricks and associated ML managed services.

Professional Skills

You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them.
You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.

Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

Accommodations

Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law.
If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process.
Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements.
Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

About Thoughtworks

Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.

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