Take your career to new heights with Loopio! 🚀✨

Loopio is a workplace that unleashes learning & growth opportunities for our Loopers. We provide autonomous, challenging work that allows each employee to master their craft. We attract and retain people who are naturally curious, have grit and are eager to grow and build their careers. At Loopio, we genuinely support each other, because true success comes from working as #oneteam.

We are looking for an experienced Senior Machine Learning Engineer to join the Strategic Insights team within Engineering, building and supporting ML-driven features that empower customers with actionable insights to improve proposal quality, win rates, and team productivity. This role focuses on enhancing dashboard usability, integrating tailored recommendations, and increasing efficiency through analytics while showcasing Loopio’s ROI to executives. You’ll work across the platform portfolio, leveraging NLP and GenAI to develop solutions like automated language detection, intelligent project import, and search enhancements. This is a unique opportunity to join a growing team of creative and passionate individuals committed to solving real-world problems with modern AI practices.

You will partner closely with Product Managers, Architects and Data Scientists to use Machine Learning techniques to help us take Loopio’s user value to the next level.

This role requires close collaboration with teams across Canada, the UK, and India. To accommodate the time zone differences, you will be expected to work from 11 am to 7:30 pm IST.

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, Databricks). 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.

• 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: 3+ 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.

• 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).

• Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration.

• You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday

• We encourage asynchronous collaboration to effectively work as a global #OneTeam!

Why You’ll ❤️ Working 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 1️⃣ 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.

• You’ll be joining a supportive culture that has thoughtfully built out opportunities for connections in a remote first environment.

• Participate in 🎤 townhalls, AMA (Ask-Me-Anything), and quarterly celebrations to celebrate the big wins and milestones as #oneteam!

• Our four active Employee Resource Groups offer opportunities for employees to learn and connect year-round.

• You’ll be a part of an award-winning workplace 🏆with an opportunity to make a big impact on the business.

Questioning your qualifications? Read this ‼️ Hi there, we recognize that all too often, potential candidates don’t apply for a position simply because they don’t hit every single criteria included in the job description—particularly members of underrepresented groups.

Whether or not your experience ✅ checks off all the boxes on a job posting, we still encourage you to apply to ensure that your application receives a review from our team. We understand that a resume can only showcase so much during the applicant stage, so we've created prompts in the application for you to share more about yourself. If you've made a career transition (or a few!), you’re self taught in a new role, or you have skills/experience you’d like to highlight, we want to hear more about what you could bring to the table.

AI in Recruitment 👩🏻‍💻 At Loopio, we leverage artificial intelligence (AI) technology to enhance our recruitment process. These tools assist with tasks such as resume screening, drafting preliminary job descriptions, generating initial interview questions, and occasionally sourcing prospective candidates. However, AI is never used to make final hiring decisions; our use of AI serves to support repetitive and administrative tasks in order to streamline our hiring and recruitment workflows. We are committed to the responsible use of AI in our hiring practices, prioritizing both an improved candidate experience and operational efficiency. Our standardized hiring practices remain focused on reducing biases, with all key hiring decisions solely made by our team. We continuously review and refine our hiring practices to align with industry best practices and evolving legal guidelines

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.