Data Analyst Remote jobs in Canada

We are seeking a highly skilled Senior Machine Learning Engineer with deep expertise in NLP, large language models, and model deployment. This role focuses on building and operationalizing the core ML components that power our next generation search, summarization, and answer generation capabilities. You will work closely with Applied Scientists, Product, and Engineering to bring advanced models from prototype to reliable, scalable production systems.

Note: This is an existing vacancy on the team

• Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine‑tuning methods while translating experimental prototypes into robust components that consistently perform under production conditions.

• Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation that ensures predictable behaviour over time.

• Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies such as batching, caching, streaming, and performance‑tuned deployment patterns that meet latency, reliability, and throughput requirements.

• Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness to support durable, maintainable ML systems.

• Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long‑term extensibility.

• Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product, Engineering, and Applied Science partners to align expectations, remove constraints, and deliver measurable customer impact.

• Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence while providing informal mentorship on modern NLP techniques and scalable model serving.

• Demonstrate strong ownership and attention to detail by driving high‑quality delivery in a fast‑moving environment focused on reliability, clarity, and meaningful outcomes.

• 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval‑augmented systems.

• Hands‑on and deep experience with transformer models, embedding‑based methods, and retrieval‑augmented techniques, prompt structured or fine‑tuned LLMs, for reasoning and generation tasks.

• Ability to turn prototypes into stable engineering solutions that perform consistently in production environments.

• Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development.

• Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability.

• Ability to design robust agentic components, including control flow, state management, and integrations with retrieval and knowledge systems.

• Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality.

• Strong collaboration skills with cross‑functional partners to align priorities and drive clear, grounded execution.

• Comfort operating with ownership and urgency in a fast‑moving environment focused on delivering meaningful outcomes.

• 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).

• The majority of our team is based in ON and BC, which means these employees live and work remotely within a 300km radius of Toronto (within Ontario) and Vancouver (Within BC).

• We offer flexible co‑working locations available to Loopers in ON and BC. Those based in ON have the option of working out of our convenient co‑working space located in the heart of Downtown Toronto and a 12‑minute walk from Union Station. BC Loopers have the option to work centrally in Vancouver. It is whatever works best for you!

• 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!

• 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, transcription 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.