Senior Machine Learning Operations Engineer

Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. 

We are transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice.

We are currently seeking a Senior MLOps Engineer to join our Engineering team. This role is available to candidates local to our Toronto hub, where you will be expected to be in office minimum two days per week for our Anchor Days.

Our MLOps team builds and operates the scalable infrastructure and robust platforms that power AI solutions across Clio. We blend deep AI and ML expertise with strong software engineering and cloud infrastructure skills to enable the entire lifecycle of machine learning and generative AI - spanning experimentation, deployment, monitoring, and continuous improvement. By applying best practices in CI/CD, observability, cost optimization, and model governance, and leveraging state-of-the-art tools and frameworks, we ensure our AI systems are reliable, performant, and aligned with business goals. We partner closely with ML engineers, data engineers, and product teams to accelerate the delivery of impactful AI capabilities.

• Build and deploy LLM-based solutions that help Clio’s customers save time and improve operational efficiency

• Collaborate cross-functionally with engineering, product management, operations, and data science to identify and develop new ML-driven features

• Evaluate and integrate new ML tools and frameworks to accelerate experimentation and optimize operations

• Troubleshoot and resolve production issues such as data drift and model latency using observability tools and logs

• Participate in design reviews and contribute to architectural decisions shaping Clio’s AI platforms

• Engage in code reviews within your team and across the company, providing and receiving constructive feedback to maintain high standards

• Continuously learn, challenge yourself, and grow as a machine learning expert while mentoring and collaborating with teammates

• Solid Python or Ruby on Rails development skills, with experience building production-grade applications, services, or ML tooling

• Expertise in cloud infrastructure (AWS, GCP, or Azure), including Kubernetes, and infrastructure-as-code (Terraform, Helm, or similar)

• Experience with CI/CD and automating model training, testing, and deployment pipelines

• Understanding of machine learning and AI concepts, workflows, and lifecycle management

• Demonstrated leadership skills, with the ability to mentor and guide team members effectively

• Ability to fully own the design and delivery of robust, scalable solutions from concept through implementation

• You excel at breaking down complex, challenging problems into manageable parts and iterating toward effective solutions

• You are naturally curious and love to dig deep into problems, constantly asking, “why?”

• You communicate clearly and concisely, regardless of the medium (text, voice, or in-person)

• You value collaboration and proactively seek to build context to power your decisions

• You have a team-first mentality and will naturally support co-workers when you sense they are facing difficulty

• Demonstrate a keen interest in improving your craft by using AI

• Familiarity with AI observability tools (logging, metrics, tracing) to monitor and debug AI systems

• Awareness of ML governance, responsible AI, and best practices for secure, compliant AI operations

• Proficient in developing and utilizing guardrails to ensure secure, reliable, and compliant AI operations

This is for a new role.

What you will find here:

Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.
 

Some highlights of our Total Rewards program include:

• Competitive, equitable salary with top-tier health benefits, dental, and vision insurance 

• Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin, London, New York City and Sydney) to be in office min. twice per week. 

• Flexible time off policy, with an encouraged 20 days off per year.

• $2000 annual counseling benefit

• RRSP matching and RESP contribution 

• Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

*Our salary bands are designed to reflect the range of skills and experience needed for the position and to allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount for this role will be dependent on geographical region, applicable experience, and skillset of the candidate.

Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility 

Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply.

Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs.

Learn more about our culture at clio.com/careers

We're a Human and High Performing AI company, meaning we use artificial intelligence to improve all of our operations. In recruitment, AI helps us streamline the process for greater efficiency. However, we've built our systems to ensure that a human always reviews AI-generated output, and we never make automated hiring decisions.

Disclaimer: We only communicate with candidates through official @clio.com email addresses.