Machine Learning Operations Engineer

Join Us in Shaping the Future of AI & DataAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, leading transformative initiatives for world-class businesses. Our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform enables our clients to future-proof their operations, extract actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your RoleAs a Lead Machine Learning Engineer, you will take the reins as the technical authority for our most ambitious projects. You will establish the technical vision, mentor a team of talented engineers, and translate intricate business challenges into pioneering AI solutions on Google Cloud. This hands-on leadership position requires you to not only architect innovative solutions but also engage actively in client discussions and oversee project delivery from inception to completion.Your responsibilities will include building strong relationships with prospects, identifying creative machine learning applications to address challenges, scoping projects, and ensuring successful delivery of these initiatives.To excel in this role, you will need a solid foundation in ML & Data Science and the ability to select the appropriate tools and strategies for diverse ML use cases. Proficiency in model optimization and deployment tools is essential, along with exceptional communication and consulting skills, and a passion for addressing real business needs through innovative AI and Cloud solutions.

Datatonic partners with organizations to help them manage and transform their data using Google Cloud. The team specializes in machine learning, data engineering, and analytics, supporting clients as they adapt to evolving business needs and seek actionable insights. Role overview The Lead Machine Learning Engineer - Team Lead will provide both technical leadership and people management for a group of engineers working on machine learning and data science projects. This role involves shaping project direction, mentoring team members, and supporting their development. The position is well suited to someone who enjoys change and wants to influence both team and company outcomes. Team leadership Guide the machine learning team with strategic and technical direction, ensuring practices align with industry standards. Recruit and onboard data scientists and machine learning engineers to build team capabilities. Mentor team members to support their technical growth and career progression. Foster a culture of inclusion, innovation, and open knowledge sharing. Conduct performance reviews, set objectives, and provide constructive feedback for continuous improvement. Project delivery Oversee complex machine learning projects from planning through deployment, focusing on quality and timely delivery within budget. Work with Delivery Managers to define project scope, set timelines, allocate resources, and monitor milestones. Location This position is based in Canada.

Affirm, Inc. is looking for a Lead Manager, Machine Learning Engineering to join the team remotely from anywhere in Canada. This leadership role centers on guiding engineers as they create and implement machine learning models that support Affirm’s financial products. Role overview The Lead Manager will provide direction and mentorship to a team of machine learning engineers. The work involves overseeing projects that use advanced machine learning techniques and ensuring models are successfully developed and deployed for Affirm’s financial solutions. What you will do Mentor and manage a team of machine learning engineers Lead projects that utilize advanced machine learning methods Guide the development and deployment of models for Affirm’s financial offerings Location This is a remote position open to candidates based in Canada.

Join Upwork Inc., a global leader in connecting businesses with AI-enabled talent, as a Senior Lead Machine Learning Engineer. In this pivotal role, you will architect and scale the future of agentic intelligence, leading the end-to-end development of AI agents and their underlying platform. From training and evaluating large language models to ensuring runtime orchestration and safety, you will drive innovative solutions that empower both internal teams and external developers to create reliable and high-performing AI agents. This hands-on position blends applied research with platform engineering, making a significant impact on Upwork's mission to transform the workforce for the age of AI.

Wisedocs is an innovative and rapidly expanding AI platform that revolutionizes the way insurance companies evaluate claims. With approximately $20 million USD in funding, over 100 team members worldwide, and more than 90 clients across North America and Australia, we are experiencing remarkable growth, doubling our revenue year after year.Founded by industry experts who have firsthand experience with the claims process, Wisedocs merges extensive domain expertise with cutting-edge AI, trained on over 100 million documents. Our platform simplifies complex medical records into clear, structured insights, supported by expert human oversight.Join our mission-driven team dedicated to developing intelligent products that simplify complexity, expedite decision-making, and create a significant impact when it matters most.Role OverviewWe are on the lookout for a Senior Machine Learning Engineer to spearhead the scaling and innovation of machine learning initiatives across the organization. In this pivotal role, you will enhance our inference and training pipelines to accommodate a higher volume of customers while refining extraction and summarization techniques across various modalities. You will foster a customer-centric approach and collaborate with fellow senior engineers to seamlessly integrate the ML system into the broader Wisedocs platform.Our Current ML EcosystemWe have three primary types of ML systems operational in production: an entity classification system, a custom reports generator, and a series of summarization models. Our entity classification has been functioning for four years and currently processes data asynchronously using a combination of models. Discover more about our initiatives at our tech blog.Recent Projects by Our ML Team:Reconstructing our inference pipeline to achieve 100x scalingDeveloping consistent parsing methods for 50,000-page PDFsDeploying our pipeline within an isolated government client environmentYour ResponsibilitiesDesigning and implementing machine learning models to analyze and interpret large sets of medical and insurance documentsCreating robust, scalable APIs using PythonCollaborating with technical stakeholders and leaders to contribute to system design and implementationEnsuring the reliability and scalability of ML systems while enforcing best practices in data engineering and model lifecycle managementWorking closely with our expert-in-the-loop teams to develop industry-leading evaluationsAdditional responsibilities will evolve as projects progress and change

c-serv is forming an AI Red Team to improve the security of enterprise AI products. As an Adversarial Machine Learning Engineer, the focus will be on identifying vulnerabilities in large language model (LLM) systems and testing their defenses before they reach enterprise clients. This hands-on position addresses practical security challenges in real-world AI deployments. Main responsibilities Perform adversarial assessments targeting LLMs and other AI systems Simulate real-world attack scenarios, including: Prompt injection Jailbreaking and bypassing model guardrails Data exfiltration Model inversion and evasion Manipulation of retrieval-augmented generation (RAG) pipelines Develop scripts and tools to automate attack scenarios Evaluate model behavior and performance under adversarial conditions Identify weaknesses in technical components, such as: APIs Embedding pipelines Vector databases Fine-tuned model deployments Collaborate with engineering teams to verify fixes and improvements Document findings clearly and thoroughly Location This position is based in Calgary, Alberta, Canada. Impact The work in this role directly supports the reliability and security of AI systems before they are deployed at scale for enterprise use.

“Transform every logistics journey into a remarkable experience”Company Overview:Established in 2014, Quincus is a pioneering B2B SaaS platform specializing in supply chain operations, with its headquarters in Singapore. Our mission is to tackle the pressing challenges of global supply chains through innovative technology. By leveraging AI and machine learning, we have revolutionized the logistics landscape, providing our clients with unparalleled transparency and efficiency in their supply chain operations.Founded by two visionary entrepreneurs with over a decade of tech experience, Quincus is led by Chief Product Officer Katherina-Olivia Lacey, who champions a tech revolution while promoting women's empowerment within the supply chain sector. CEO Jonathan E. Savoir, recognized in Forbes' 30 Under 30 Asia List in 2020, also contributes to several startup boards, driving innovation forward.Role Overview:Quincus Research is at the forefront of developing the next generation of intelligent systems for our suite of products. We are seeking a highly motivated and skilled Machine Learning Engineer to join our dynamic team. You will play a pivotal role in designing and deploying deep learning and reinforcement learning algorithms at scale. Your expertise will be essential in creating scalable systems for model serving, optimizing inference performance, and managing production workflows.Key Responsibilities:- Design and implement scalable systems for deploying deep learning and reinforcement learning models.- Optimize the inference performance of models through advanced techniques like quantization, pruning, and distillation.- Leverage GPU computing to enhance model training and inference efficiency.- Develop and manage production workflows for the training and deployment of machine learning models.- Collaborate cross-functionally with data scientists and software engineers to create effective machine learning systems.- Monitor and enhance the performance of machine learning models in production.- Stay abreast of the latest advancements in deep learning and reinforcement learning methodologies.

Join Our Innovative TeamSanctuary AI is at the forefront of developing dexterity-driven Physical AI for versatile robots. We are on the lookout for talented Machine Learning Engineers to become part of our dynamic team of engineers, researchers, and scientists. Together, we are committed to overcoming significant challenges in robotic perception, dexterous manipulation, planning, and reasoning.In this role, you will concentrate on creating robust systems to train and implement machine learning policies in robotic platforms. You will collaborate closely with researchers to introduce and execute cutting-edge ML techniques in production environments. Utilizing our state-of-the-art in-house robotic systems, you will design, test, and enhance software that connects advanced methodologies to practical outcomes. This role presents a unique opportunity to contribute to both the engineering foundations and the applied ML capabilities that propel our robots into the future.Note: Your role may require occasional travel (typically one to two weeks at a time, several times a year) to work closely with partners and teams on essential projects.

Join bree as a Machine Learning Engineer, where you will be at the forefront of cutting-edge technology, developing algorithms and models that drive innovation. Collaborate with a dynamic team to enhance machine learning frameworks and contribute to impactful projects that transform data into actionable insights.

Affinity integrates billions of data points from extensive datasets to craft a precise and powerful depiction of the global professional relationship graph. Our users gain essential insights and visibility to cultivate and leverage opportunities within their teams' networks. The position is part of the AI Platform team, responsible for the AI services that drive Affinity's premier relationship intelligence platform. Our work involves extracting and retrieving information from vast amounts of structured and unstructured data to provide actionable insights to our clients. As a Senior Machine Learning Engineer, you'll collaborate closely with data engineers, software engineers, and product managers to shape the future of the leading CRM platform in private capital. Your role will involve designing and building AI systems that efficiently uncover insights from dynamic business interaction data—an exciting and unique opportunity within the sector. This position focuses on applied machine learning with a significant emphasis on engineering rather than research. You will be instrumental in enhancing our ML Engineering capabilities, specifically in information retrieval and ultimately in recommendation systems. Key Responsibilities: Own the full ML lifecycle: Guide projects from ideation to production, encompassing feature engineering, model selection, deployment, and model observability and evaluation. Translate business needs into ML solutions: Gather product requirements and convert them into robust ML system design specifications. Build recommendation and ranking systems: Architect and implement ranking and recommendation infrastructure from the ground up, initially leveraging integrated off-the-shelf models and evolving to tailored solutions over time. Solve complex problems: Tackle diverse challenges in information extraction, storage, and retrieval for both structured and unstructured data. Collaborate cross-functionally: Work alongside cross-functional teams (product, infrastructure, data engineering, and software engineering) to develop robust, high-scale systems that underpin our data processing and ML operations.

About Datatonic Datatonic stands as Google Cloud's top partner in AI, specializing in machine learning, data engineering, and analytics. The team helps clients across industries use advanced technology on Google Cloud Platform to modernize operations and uncover valuable insights. Role Overview The Senior Machine Learning Engineer position is a hands-on technical role based in Canada. This engineer writes production-quality Python code and prototypes solutions to complex problems. The role involves leading projects, collaborating closely with clients, and delivering reliable machine learning systems that address real business needs. What You Will Do Develop and maintain machine learning models using Python Apply strong engineering practices to both production systems and prototypes Lead project delivery and help scope new engagements Work directly with clients to understand challenges and deliver tailored solutions Build and maintain trusted client relationships What We Look For Solid foundation in machine learning and data science Experience selecting tools and methods for different ML applications Proficiency in optimizing and deploying ML models Strong communication and consulting skills Ability to deliver innovative AI and Cloud solutions for clients

Join Us in Shaping the Future of AI and Data!At Datatonic, recognized as a premier partner in AI for Google Cloud, we are at the forefront of technological transformation for leading global enterprises. Our expertise ranges from machine learning and data engineering to analytics, all within the Google Cloud Platform ecosystem. Collaborating with us enables our clients to future-proof their operations, harness actionable insights, and maintain a competitive edge in a fast-evolving landscape.Your MissionIn the role of a Senior Machine Learning Engineer, you will craft elegant, efficient code in Python and take pride in your engineering output. You will champion high-quality development practices for both production software and rapid prototypes.Although the position is predominantly hands-on, we are particularly interested in candidates ready to lead projects and engage actively in client discussions. Key responsibilities include establishing trusted relationships with clients, creatively applying machine learning to resolve challenges, defining project scopes, and managing the successful delivery of engagements.To excel in this role, you should possess robust ML and Data Science fundamentals, along with proficiency in selecting appropriate tools for diverse ML use cases. Comfort with model optimization and deployment practices is essential. Additionally, you should exhibit exceptional communication and consulting skills, with a commitment to addressing real business needs through innovative AI and Cloud solutions.

Later is the leading platform in influencer marketing, empowering brands to craft unforgettable campaigns with confidence. By leveraging genuine creator relationships, reliable intelligence, and expert support, Later eliminates uncertainty from one of marketing's most visible investments.Our AI-driven platform, backed by over a decade of proprietary data—including billions of social interactions, impressions, and more than $2.4 billion in verified influencer-generated purchases—enables teams to predict campaign success before launch.By merging valuable insights with expert guidance, Later takes the guesswork out of influencer marketing, allowing brands to select the ideal creators, execute thoroughly managed campaigns, and achieve significant growth in awareness, engagement, and revenue. Trusted by major enterprise brands such as Nike, Wayfair, Unilever, and Southwest Airlines, Later harmonizes creativity with performance to ensure campaigns not only look impressive but also yield tangible results. Discover more at later.com.About this Position:We are seeking a Machine Learning Infrastructure Engineer to join our expanding Data & Platform team. In this pivotal role, you will establish the framework that drives our AI and machine learning capabilities across Later's product suite. As our inaugural dedicated ML Infrastructure Engineer, you will oversee the systems that facilitate model experimentation, training, deployment, and large-scale monitoring.This position is essential for accelerating our data science endeavors and fostering future AI innovations. You will design and maintain reliable, secure, and scalable ML infrastructure that empowers data scientists and engineers to deploy impactful models confidently. If you are passionate about creating robust ML systems in a dynamic environment and are eager to set the standard for ML Ops at Later, this is your chance.

Join Fullscript as a Staff Machine Learning Engineer, where you will play a pivotal role in designing and implementing innovative machine learning solutions that enhance our platform’s capabilities. You will work closely with cross-functional teams to develop algorithms and models that drive our business forward, making a significant impact on the healthcare industry.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates situated in the eastern or central time zones to facilitate collaboration with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to lead and implement our AI and data science strategy. This senior technical leadership position requires an individual with profound expertise in machine learning, data science, and production engineering, complemented by the business insight needed to translate complex capabilities into customer value.As the technical authority for AI at Wiser, you will set architectural direction, communicate our capabilities to customers and partners, and deliver production systems that yield measurable business outcomes. This role demands proficiency in both strategic planning and hands-on implementation, allowing you to present to executives while also debugging production pipelines in the same week.We are cultivating an AI-native engineering culture at Wiser, where AI tools and techniques are integral to our workflows, not just the products we develop. We need a Principal AI Engineer who not only delivers AI products but also exemplifies AI-enhanced work methodologies and aids the broader engineering team in their adoption. If you are passionate about the transformative potential of AI in software development and implement that transformation in your daily activities, we want to hear from you.What You Will DoStrategic LeadershipDefine and enhance Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors—clarifying our approach, roadmap, and unique offerings.Identify high-impact opportunities where AI can solve customer challenges or provide a competitive edge.Develop technical standards, patterns, and best practices that shape engineering decisions across the organization.Technical ExecutionArchitect and build production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions yield reliable, measurable results.Integrate classical data science methods (statistical modeling, experimentation design, feature engineering) with modern generative AI approaches.Oversee technical quality for AI systems across the board: from data pipelines to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to convert business requirements into technical solutions and validate these solutions against customer needs.Mentor and elevate the AI/data science team (3-5 engineers), enhancing the technical capabilities of the team.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the Eastern or Central time zones who can collaborate effectively with our teams across the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a dynamic Principal Machine Learning Engineer to lead and execute our AI and data science strategies. This senior-level technical leadership role demands an individual with profound knowledge in machine learning, data science, and production engineering paired with the business insight required to turn complex capabilities into tangible customer value.As the technical authority for AI at Wiser, you will guide architectural direction, represent our capabilities to clients and partners, and oversee the delivery of production systems that yield measurable business benefits. This role necessitates the ability to seamlessly transition from strategic planning to hands-on implementation, capable of presenting to executives while also troubleshooting production pipelines within the same week.At Wiser, we are cultivating an AI-native engineering culture where AI tools and techniques are integrated into our daily operations, not just the products we create. We seek a Principal AI Engineer who not only delivers AI solutions but also exemplifies AI-enhanced methodologies, supporting the broader engineering team in their adoption. If you believe in the transformative power of AI in software development and embody that transformation in your work, we want to hear from you.What You Will DoStrategic LeadershipDefine and evolve Wiser's AI and data science technical strategy in collaboration with product and business leadership.Articulate Wiser's AI capabilities to customers, partners, and advisors, outlining our approach, roadmap, and unique selling points.Identify significant opportunities where AI can address customer challenges or provide a competitive edge.Establish technical standards and best practices that guide engineering decisions across the organization.Technical ExecutionArchitect and develop production AI systems, including LLM applications, RAG pipelines, semantic search, and traditional machine learning models.Create robust evaluation frameworks, experimentation methodologies, and monitoring systems to ensure AI solutions deliver reliable and measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with contemporary generative AI methodologies.Oversee the technical quality of AI systems from data pipelines through to model deployment and production observability.Cross-Functional ImpactCollaborate with product management to translate business requirements into technical solutions, validating them against customer needs.Mentor and uplift the AI/data science team (3-5 engineers), raising the technical standards across the board.

Who You Are:Adaptable and Proactive Problem Solver. You excel in dynamic environments where data is unstructured, and solutions are not immediately apparent. You possess the ability to define problems, make logical assumptions, and adapt swiftly as challenges arise.Systematic Thinker. Your focus extends beyond just models; you consider the entire lifecycle of data, including its generation, movement, deployment of models, and the impact of outputs on product performance. You prioritize accuracy while also valuing latency, reliability, and transparency.Collaborative Team Player. You thrive in teamwork, effectively liaising with product, firmware, backend, and design teams to bridge business objectives, technical constraints, and implementation challenges. Your communication is clear, and you value collective success over individual accolades.What We Need:End-to-End Ownership of Data and ML Systems. You will be responsible for designing, building, and maintaining the data pipelines and machine learning models that drive our core product functionalities.

Join Samsara as a Staff Machine Learning Engineer, where you will leverage your expertise to develop innovative ML solutions that enhance operational efficiency across various industries. Collaborate with a talented team to push the boundaries of technology, while contributing to impactful projects that shape the future of IoT.

Who We AreSamsara (NYSE: IOT) leads the way in the Connected Operations™ Cloud, a platform designed to empower businesses reliant on physical operations to leverage Internet of Things (IoT) data for actionable insights and operational improvements. At Samsara, we strive to enhance safety, efficiency, and sustainability across industries that are vital to our global economy, such as agriculture, construction, field services, transportation, and manufacturing. Our mission is to digitally transform these sectors at scale.Joining Samsara means playing a key role in defining the future of physical operations and collaborating on a diverse range of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As a recently public company, you will have the freedom and support to make a significant impact as we build for the future.About the Role:We are in search of a Senior Machine Learning Engineer to spearhead the evolution of our safety systems architecture. You will drive the transition of our ML stack from isolated, end-to-end models to a cohesive Perception Platform Layer. Your objective is to develop a robust infrastructure that converts raw sensor data into immediate, high-stakes decisions, guaranteeing the reliable performance of our models in both cloud and edge environments.This position is fully remote for candidates located in Canada.You Should Apply If:You want to make a meaningful impact on essential industries: The software, firmware, and hardware you develop will lead to tangible outcomes—ensuring essential services are maintained, food reaches grocery stores, and, most importantly, that workers return home safely.You aspire to build for scalability: With over 2.3 million IoT devices deployed to our global clientele, you will engage with a variety of new and established technologies, fostering innovative solutions that propel the physical operations of the world's industries.You are a lifelong learner: Our ambitious goals require a growth mindset, as we navigate a broad spectrum of technologies, challenges, and customer needs.