Please complete the CAPTCHA to continue
A concise factual answer block for searchers comparing this professional profile.
Nathan Tozer is listed as Software Engineer at Workday • Machine Learning and MLOps at Workday, a company with 13238 employees, based in Vancouver, British Columbia, Canada. AeroLeads shows a matched LinkedIn profile for Nathan Tozer.
Nathan Tozer previously worked as Software Engineer, Machine Learning at Workday and Software Engineer, Machine Learning at Amazon Web Services (Aws). Nathan Tozer holds Bachelor Of Science, Software Engineering from University Of New Brunswick.
This section adds company-level context without repeating Nathan Tozer's masked contact details.
Review company-level records connected to Nathan Tozer before choosing the right outreach path.
I'm a Software Engineer with a keen interest in machine learning, mlops, distributed systems, and self-improvement. I’m passionate about working on difficult problems that have a positive impact.My experience has primarily focused on developing machine learning solutions, optimizing the machine learning lifecycle, improving backend systems, or implementing data infrastructure. Throughout my professional experience and personal projects I've become proficient using tools and languages including Python, TypeScript, Java, C/C++, PyTorch, TensorFlow, Apache Spark, a plethora of AWS services, Infra-as-Code, and MLflow.
Listed skills include Rcm, Systems Engineering, V Metric, Reliability Engineering, and 21 others.
Company context helps verify the profile and gives searchers a useful next step.
A career timeline built from the work history available for this profile.
Vancouver, British Columbia, Canada
Currently a Software Engineer on the Centralized Inference Service team. My time is spent developing core functionality and improving scalability of a hosted inference system supporting both traditional ML and GenAI models.
Vancouver, British Columbia, Canada
As a Software Engineer on the AWS Payments Machine Learning Platform team my day to day consisted of building machine learning workflows, productionalizing models developed by Research Scientists, and developing systems to accelerate and simplify the machine learning lifecycle
Vancouver, British Columbia, Canada
As an SDE Intern on the AWS Step Functions team I worked on expanding support to all AWS services enabling customers to create more complex serverless applications
Fredericton, NB, Canada
As a member of the Machine Learning team I built computer vision solutions for clients, developed MLOps tooling, and explored the efficacy of state-of-the-art semi supervised ML research in production
Fredericton, NB, Canada
Core responsibility was improving UI and UX of the human-in-the-loop labeling tool
Ottawa, Ontario, Canada
Focused on building data pipelines, storage, and analysis tools for processing and displaying the consumption of licensed broadband frequencies across Canada
Fredericton, NB, Canada
Assisted in the development of the CyberEssentials Canada certification and participated in the organization of CyberSmart Summit 2017
Other employees you can reach at workday.com. View company contacts for 13238 employees →
Dawn Clayton, Mit, Pmp
Colleague at Workday
Jacksonville, Florida, United States, United States
View →
NA
Neelima Allapureddi
Colleague at Workday
Atlanta Metropolitan Area, United States, United States
View →
GS
Greg Simkowski
Colleague at Workday
Orland Park, Illinois, United States, United States
View →
AF
Alexander Ford
Colleague at Workday
Greater Chicago Area, United States
View →
SD
Sarah Dawson
Colleague at Workday
Ireland, Ireland
View →
DE
David Eagle
Colleague at Workday
Manchester, England, United Kingdom, United Kingdom
View →
MM
Mamata Mandal
Colleague at Workday
Rajarhat, West Bengal, India, India
View →
JI
James Ibison
Colleague at Workday
Slough, England, United Kingdom, United Kingdom
View →
BE
Beth Engwall Rinker
Colleague at Workday
Reston, Virginia, United States, United States
View →
KB
Kristen Biancardi
Colleague at Workday
Greater Sacramento, United States
View →
Quick answers generated from the profile data available on this page.
Nathan Tozer works for Workday.
Nathan Tozer is listed as Software Engineer at Workday • Machine Learning and MLOps at Workday.
Nathan Tozer is based in Vancouver, British Columbia, Canada while working with Workday.
Nathan Tozer has worked for Workday, Amazon Web Services (Aws), Eigen Innovations Inc., Communications Research Centre, and Cybernb.
Nathan Tozer's colleagues at Workday include Dawn Clayton, Mit, Pmp, Neelima Allapureddi, Greg Simkowski, Alexander Ford, and Sarah Dawson.
You can use AeroLeads to view verified contact signals for Nathan Tozer at Workday, including work email, phone, and LinkedIn data when available.
Nathan Tozer holds Bachelor Of Science, Software Engineering from University Of New Brunswick.
Nathan Tozer is listed with skills including Rcm, Systems Engineering, V Metric, Reliability Engineering, Report Writing, Configuration Management, Spares, and Cad.
Search by job title, company, industry, location, and seniority. Export verified B2B contact data when you need it.
Start free trial Search contactsCheck these profiles if this is not the Nathan Tozer you were looking for.
