Toronto On Natural language processing Jobs – 52 Openings This Week

Senior Machine Learning Engineer - Systems
EvenUp —Toronto, ON
- $195,000–$264,000 a year
- Full-time
- Hybrid work
- Databases
- APIs
- AI
- Designated paid holidays
- Disability insurance
Machine Learning Engineer II, Core Engineering
Pinterest —Toronto, ON
- $170,840–$220,840 a year
- Doctoral degree
- Master's degree
- SQL
Lead Data Scientist, Fraud Applied AI & Innovation
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Data analysis skills
- Research
Senior Data Scientist
Deloitte —Toronto, ON
- $72,000–$138,000 a year
- Hybrid work
- Bilingual
- Azure
- Oracle
Data Science Manager
Deloitte —Toronto, ON
- $84,000–$175,000 a year
- Hybrid work
- Azure
- Oracle
- Master's degree
Lead, Machine Learning Engineer, GFT
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon Development Centre Canada ULC —Toronto, ON
- $195,900–$327,200 a year
- Full-time
- Doctoral degree
- Computer Science
- Sales
- Profit sharing
- Dental care
Full Stack Data Science Engineering Specialist
TD Bank —Toronto, ON
- $187,500–$261,000 a year
- Full-time
- Bilingual
- Azure
- English
- Paid time off
Specialist - Data Engineering
LTM —Mississauga, ON
- $87,896–$93,824 a year
- Azure
- DevOps
- Databases
- Disability insurance
- Dental care
Quick apply
Senior Data Scientist
Royal Bank of Canada —Toronto, ON
- Full-time
- Azure
- Doctoral degree
- Computer Science
ML Engineer
Human Computer Lab —Toronto, ON
- Full-time
- Hybrid work
- C++
- Machine learning
- AI
Quick apply
Senior Manager, Data Science
Numeris —Toronto, ON
- $120,000–$150,000 a year
- Full-time
- Hybrid work
- Doctoral degree
- Master's degree
- Analysis skills
- Dental care
- Tuition reimbursement
Quick apply
Machine Learning Software Engineer II
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- DevOps
- Engineering
2026 Fall – GRM, Developer - AI Innovation for Risk Management (4 Months)
Royal Bank of Canada —Toronto, ON
- Full-time
- Computer Science
- Engineering
- Master's degree
1d
Senior AI Engineer
Bizinsys —Mississauga, ON
- $61,401.82–$120,000.43 a year
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
Quick apply
Senior Machine Learning Research Engineer
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Master's degree
Machine Learning Research Team Lead
Royal Bank of Canada —Toronto, ON
- Full-time
- Doctoral degree
- Computer Science
- Research
Finance Senior AI & Data Scientist
Royal Bank of Canada —Toronto, ON
- Full-time
- Microsoft Excel
- Computer Science
- Engineering
6d
Manager AI and Applied Research
Thomson Reuters —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- Doctoral degree
- Tuition reimbursement
Vector Distinguished Postdoctoral Fellow
Vector Institute —Toronto, ON
- Doctoral degree
- Computer Science
- Engineering
Quick apply

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Senior Machine Learning Engineer - Systems

EvenUp -
Toronto, ON

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Job details

Full-time
$195,000–$264,000 a year

Qualifications

Elasticsearch
Databases
Distributed systems
APIs
AI
Python

Full job description

EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more.

We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at www.evenuplaw.com.

At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation.

We are looking for a curious, impact-driven early career Machine Learning Engineer eager to join EvenUp's mission. You’ll develop and deploy models that power Piai, our proprietary claims-intelligence platform, with a focus on machine learning, natural-language processing, and generative AI. Working alongside senior ML engineers, data scientists, and legal subject-matter experts, you’ll turn raw legal and medical data into production-ready models that directly improve justice for personal-injury clients.

What you’ll do:

Design and implement end-to-end ML systems for retrieval-augmented generation (RAG), vector search, and fine-tuning pipelines.
Build and optimize data pipelines that integrate structured, unstructured, and embeddings-based data into ML workflows.
Develop frameworks and reusable components for data extraction, evaluation, and benchmarking of LLMs and other models.
Collaborate with data scientists and product teams to translate business problems into ML system designs.
Research, prototype, and productionize state-of-the-art techniques in semantic search, embeddings, and prompt engineering.
Implement evaluation strategies for ML systems, including relevance metrics, quality scores, and human-in-the-loop workflows.
Ensure scalability and efficiency of ML workflows, including large-scale embedding generation and retrieval pipelines.
Work with machine learning platform engineers to integrate ML frameworks into production environments.
Document system architectures and create internal best practices for building ML/AI frameworks.

Optional skills:

Experience with vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus, Elasticsearch/OpenSearch).
Familiarity with retrieval frameworks (LangChain, LlamaIndex, custom retrieval pipelines).
Strong software engineering skills (Python, distributed computing, APIs).
Strong knowledge of transformer models (LLMs, embeddings, fine-tuning methods like LoRA, PEFT).
Understanding of evaluation methodologies for generative AI (RAG benchmarks, hallucination reduction, factual grounding).

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (evenuplaw.com/careers) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com, [email protected] or no‑[email protected] email addresses.

To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you’re interested in a role, please submit your application directly through our careers page.

If you receive communication from someone you believe is impersonating EvenUp, please report it to us at [email protected]. Examples of fraudulent domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”.

Benefits & Perks:

As part of our total rewards package, we offer attractive benefits and perks to our employees, including:

Choice of medical, dental, and vision insurance plans for you and your family.
Additional insurance coverage options for life, accident, or critical illness.
Flexible paid time off, sick leave, short-term and long-term disability.
10 US observed holidays, and Canadian statutory holidays by province.
A home office stipend.
401(k) for US-based employees and RRSP for Canada-based employees.
Paid parental leave.
A local in-person meet-up program.
Hubs in San Francisco and Toronto.

Please note the above benefits & perks are for full-time employees

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Compensation Range: $195K - $264K

Apply Now

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natural language processing jobs in toronto on

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