Senior machine learning engineer

Take your career to new heights with Loopio!

We’re seeking an experienced Senior Machine Learning Engineer to build and scale ML-powered features that help customers improve proposal quality, boost win rates, and increase team productivity. In this role, you’ll drive enhancements to dashboard usability, deliver tailored recommendations, and optimize workflows through actionable analytics—showcasing Loopio’s ROI to executive stakeholders. You’ll work across our platform portfolio, applying NLP and GenAI to power intelligent solutions that support users as they build their content library, review and import documents, search for answers, and collaborate on proposals.

This is a unique opportunity to join a growing, creative, and mission-driven team solving real-world problems with modern AI practices. You’ll collaborate closely with Product Managers, Engineers, Architects, and Data Scientists to deliver ML solutions that elevate the value our users experience across the platform.

What You’ll Be Doing

• End-to-End ML & NLP Deployment: Design, build, and optimize scalable ML systems for NLP applications, including fine-tuning large language models (LLMs), deploying transformer-based architectures, and optimizing inference for real-time and batch workloads. Architect distributed ML solutions for large-scale data processing and efficient retrieval-augmented generation (RAG).

• MLOps & Cloud Infrastructure: Implement best practices for ML lifecycle management, including model versioning, monitoring, and automation. Build robust CI/CD pipelines, integrate with feature stores and vector databases, and deploy models on cloud platforms (preferably AWS).

• Software Engineering & Microservices: Develop high-performance ML systems using Python, deep learning frameworks (TensorFlow, PyTorch), and distributed computing frameworks (Spark). Build scalable microservices and APIs for real-time model serving using containerized (Docker, Kubernetes) and serverless (AWS Lambda, Kinesis) architectures. Strong Object Oriented Programming fundamentals to build modular and reusable code.

• Agent Workflow Intelligence: Design and deploy ML-powered systems to enhance agent workflows through intelligent task orchestration, context-aware assistance, and real-time response optimization. Leverage LLMs to build agent copilots that integrate with CRM and ticketing platforms, delivering in-the-moment suggestions, summarizations, and action recommendations. Instrument workflows to capture agent behavior signals and feedback loops, enabling continuous learning and adaptive automation that improves efficiency, accuracy, and customer satisfaction.

• Cross-Functional Collaboration: Work closely with Data Scientists, Engineers, and Product teams to productionize NLP models, ensuring alignment with business needs and maintaining robust, scalable AI-driven solutions.

What You’ll Bring to the Team

• ML & NLP Expertise: 4+ years of experience in ML engineering, with strong expertise in NLP, LLMs, transformers, and RAG. Proven ability to fine-tune, optimize, and deploy large-scale NLP models.

• MLOps & Cloud Engineering: Hands-on experience with ML pipeline automation, monitoring, and deployment using cloud services. Strong background in data engineering for scalable AI systems, including structured (MySQL, PostgreSQL) and NoSQL (Redis, Cassandra) databases.

• Scalable Systems & Distributed Computing: Experience with performance optimization techniques for ML inference, distributed computing (Spark, Presto, Databricks), and real-time/batch processing pipelines.

• Software Development & Microservices: Strong Python development skills, experience with API-driven architectures (REST, gRPC), and ability to build robust, maintainable ML services.

• Agent Workflow Optimization: Experience designing intelligent agent workflows and copilots powered by LLMs, including context-aware recommendations, task automation, and feedback-driven improvement loops. Proven ability to integrate ML solutions into agent-facing systems, enhancing efficiency and decision-making in real time.

• Collaborative Problem Solving: Ability to work cross-functionally with product, engineering, and design teams effectively to translate business needs into AI solutions. Skilled at fostering alignment, sharing knowledge, and co-creating strategies that drive measurable impact.

Where You’ll Work

• Loopio is a remote-first workplace because we recognize the advantages of working flexibly. We are HQ’d in Canada, with established hub regions around the world where we hire from.

• Our employees (or Loopers, as we call ourselves!) live and work in Canada (British Columbia and Ontario), London, and India (specifically in Gujarat, Maharashtra, and Bengaluru).

Why You’ll Work at Loopio

• Your manager supports your development by providing ongoing feedback and regular 1-on-1s, we leverage Lattice for our 1:1s and performance conversations.

• You will have the opportunity to elevate your craft and the opportunity to explore your creativity, with a dedicated professional mastery allowance for more learning support! We encourage experimentation and innovative thinking to drive business impact.

• We offer a wide range of health and wellness benefits to support your physical and mental well-being, starting day with Loopio.

• We’ll set you up to work remotely with a MacBook laptop, a monthly phone and internet subsidy, and a work-from-home budget to help get your home office all set up.

Loopio is an equal opportunity employer that is deeply committed to building equitable workplaces that are diverse and inclusive. We actively encourage candidates from all backgrounds and lifestyles to consider us as a future employer. Please contact a member of our Talent Experience team (work@loopio.com) should you require accommodations at any point during our virtual interview processes.