# Lead Machine Learning Engineer Remote from[Canada](https://jobicy.com/job-region/canada.md)Salary, yearly, CAD 156,000 - 251,000Department [Software Engineering](https://jobicy.com/categories/engineering.md) Employment type Full Time, Job posted22 Jul 2026Apply before22 Aug 2026Experience level Senior Views / Applies 37 / 1 [About company](https://jobicy.com/company/thoughtworks.md) * Share About [Thoughtworks](https://jobicy.com/company/thoughtworks.md) Software design and delivery, together. [Information Technology & Services](https://jobicy.com/company-category/information-technology-services.md) * 1993 Actively Hiring Verified job posting This job post has been [manually reviewed](https://jobicy.com/tools/help-center/employee/how-does-jobicy-verify-the-legitimacy-of-remote-job-listings.md) for authenticity and compliance. ### AI Summary This is a Lead Machine Learning Engineer role at Thoughtworks, a global technology consultancy. The position involves leading the design and development of scalable ML systems, shaping technical strategy, and overseeing program inception. You will collaborate with clients to translate needs into impactful ML solutions while mentoring team members. The role requires deep expertise in ML engineering, MLOps, and distributed systems, as well as strong leadership and communication skills. ### Role DNA Job Complexity Easy Hard Pace & Pressure Relaxed Fast-paced Autonomy Level Guided Full Ownership Communication Load Independent Highly Collaborative AI Insight This role is rated difficulty 4 due to the requirement for deep expertise in ML engineering, strategic vision, and leadership across complex, high-stakes projects. ### Salary Analysis Median Above Market CAD203,500CA Market CAD130k – 200k 0 CAD224k AI Insight The offered salary range of $156,000 - $251,000 CAD is competitive for a lead ML engineer role in Canada. The median of ~$203,500 is above the national average for similar positions. ### Core Skills Required [Machine Learning](https://jobicy.com/jobs?search_keywords=Machine+Learning.md) [Python](https://jobicy.com/jobs?search_keywords=Python.md) [TensorFlow](https://jobicy.com/jobs?search_keywords=TensorFlow.md) [MLOps](https://jobicy.com/jobs?search_keywords=MLOps.md) [CI/CD](https://jobicy.com/jobs?search_keywords=CICD.md) [Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed+Systems.md) [Leadership](https://jobicy.com/jobs?search_keywords=Leadership.md) [Kubeflow](https://jobicy.com/jobs?search_keywords=Kubeflow.md) [PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md) [Cloud Platforms](https://jobicy.com/jobs?search_keywords=Cloud+Platforms.md) ### Cover Letter Sample I am writing to express my strong interest in the Lead Machine Learning Engineer position at Thoughtworks. With over 8 years of experience in machine learning engineering, I have led the development of scalable ML systems and driven technical strategy for high-impact projects. My expertise in Python, TensorFlow, and MLOps aligns with your requirements for building and deploying robust ML solutions. I am excited about the opportunity to contribute to Thoughtworks’ innovative culture and help deliver transformative AI solutions to clients. Copy ### Sample Interview Questions Describe a time you led the development of a large-scale ML system from concept to production. What challenges did you face and how did you overcome them?In my previous role, I led the development of a real-time recommendation system handling millions of users. Challenges included data latency and model drift. We implemented feature stores and automated retraining pipelines, reducing latency by 40% and maintaining model accuracy.How do you ensure that your ML models are fair, accountable, and transparent?I integrate Responsible AI practices by conducting bias audits, using interpretable models where possible, and maintaining documentation. I also work with stakeholders to define fairness metrics and monitor for unintended bias post-deployment.Explain your experience with MLOps and CI/CD for machine learning. Can you describe a pipeline you built?I have built end-to-end MLOps pipelines using Kubeflow and MLFlow, incorporating CI/CD via GitLab for automated testing and deployment. For example, a pipeline for fraud detection automated data validation, model training, and A/B testing, reducing deployment time from weeks to hours.How do you approach aligning technical solutions with business goals when working with clients?I start by understanding the client's strategic objectives and constraints. I then propose a roadmap that balances technical feasibility with business impact, using iterative development to deliver incremental value. Regular check-ins ensure alignment and adaptability.Describe your experience leading and mentoring a team of engineers. How do you foster a culture of excellence?I prioritize knowledge sharing through code reviews, tech talks, and pair programming. I set clear goals and provide constructive feedback. By encouraging experimentation and learning from failures, I help the team continuously improve and stay motivated. 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](https://www.thoughtworks.com/careers/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](https://docs.google.com/forms/d/11g4YSOXf5z7kAISyyPGLDrgJEvcIQIphHGVcLvz1e20/edit) 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. #LI-Remote ## Salary Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary$156,000—$251,000 CAD [See here our AI policy.](https://www.thoughtworks.com/careers/ai-policy-for-recruitment) Show more [Apply now >](https://jobicy.com/jobs/149586-lead-machine-learning-engineer-2.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. 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