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Remote Machine Learning Architect Jobs in Utah (NOW HIRING)

Architect scalable ML systems (e.g., multi-agent, recommender, active learning, multi-stage model ... Proven expertise in Machine Learning and Deep Learning, including model design, optimization, and ...

$53 - $70.25/hr

Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). * Knowledge of front-end performance optimisation and accessibility standards. * Exposure to machine learning ...

Education & learning stipend for personal growth and development. * Flexible vacation time to ... Work from home stipend to help you succeed in a remote environment. The annual OTE for this ...

Education & learning stipend for personal growth and development. * Flexible vacation time to ... Work from home stipend to help you succeed in a remote environment. The annual OTE for this ...

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Application Security Engineer

Salt Lake City, UT · On-site +1

$56.75 - $76/hr

... machine software environments, especially challenges like remote device deployment and secure firmware/software delivery. * In-depth knowledge of cloud security best practices and architecture ...

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Remote Machine Learning Architect information

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Architect, and why are they important?

To thrive as a Remote Machine Learning Architect, you need deep expertise in machine learning algorithms, model development, and a solid background in computer science or related fields, often supported by an advanced degree. Familiarity with cloud platforms (such as AWS, Azure, or GCP), deep learning frameworks (like TensorFlow or PyTorch), and relevant certifications are typically expected. Strong problem-solving, communication, and project management skills help you collaborate effectively with distributed teams and stakeholders. These skills and qualities are crucial for designing scalable ML solutions that drive business value in a remote work environment.

How does a Remote Machine Learning Architect typically collaborate with distributed teams to deliver successful projects?

As a Remote Machine Learning Architect, effective collaboration with globally distributed teams is essential. You will often coordinate with data scientists, software engineers, and business stakeholders via virtual meetings, shared documentation, and project management tools. Regular communication, clear documentation of model designs, and version control practices are crucial to ensure alignment and smooth integration of machine learning solutions. Adopting agile methodologies and being proactive in addressing time zone differences help maintain project momentum and foster a productive team environment.

What is a Remote Machine Learning Architect?

A Remote Machine Learning Architect is a professional who designs, builds, and oversees machine learning systems and infrastructure while working remotely. They collaborate with data scientists, engineers, and stakeholders to define system architecture, select appropriate algorithms, and ensure scalable deployment of machine learning models. Their responsibilities include setting technical standards, optimizing workflows, and ensuring integration with existing IT infrastructure, all accomplished through remote communication and collaboration tools. This role requires strong expertise in machine learning, cloud platforms, and software engineering.

What is the difference between Remote Machine Learning Architect vs Data Scientist?

AspectRemote Machine Learning ArchitectData Scientist
Required CredentialsMaster's or PhD in CS, AI, or related fields; certifications in ML frameworksMaster's in Data Science, Statistics, or related; certifications in data analysis tools
Work EnvironmentDesigning ML systems, collaborating with engineering teams, remote or on-siteAnalyzing data, building models, often remote or in-office
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

Remote Machine Learning Architects focus on designing and implementing scalable ML systems, while Data Scientists analyze data and build models. Both roles require advanced degrees and often overlap in skills, but their core responsibilities differ in scope and focus.

What are popular job titles related to Remote Machine Learning Architect jobs in Utah? For Remote Machine Learning Architect jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Architect jobs in Utah look for? The top searched job categories for Remote Machine Learning Architect jobs in Utah are:
What cities in Utah are hiring for Remote Machine Learning Architect jobs? Cities in Utah with the most Remote Machine Learning Architect job openings:
GIS & Operations Associate

GIS & Operations Associate

Bentley Systems

Salt Lake City, UT • Remote

Other

Posted 29 days ago


Job description

GIS & Operations Associate

Location: Salt Lake City hybrid work model

 

Position Summary:

We are looking for an experienced GIS candidate who can help advance our GIS and mapping capabilities.  The position will be focused on supporting the Data & Delivery team by managing the day-to-day GIS mapping/annotations for our AI Machine Learning technology Blyncsy.AI, and support for other staff (including demos, system training and correspondence).

Responsibilities:

  • Work with the Blyncsy Data & Delivery team to run Blyncsy.AI implementations and projects with customers globally.
  • GIS mapping, annotations, Blyncsy.AI projects and support for our products
  • Collection, manipulation, analysis, and visualization of spatial data
  • Covering multiple types of data, classifications, and coordinating reference systems (CRS)
  • Provide integral feedback on the product (and company) road map
  • Organization and effective time management are critical to meeting project deadlines and client deliveries.

Qualifications:

  • 5+ years' experience in GIS support or related field
  • Experience with GIS/mapping and geospatial concepts.
  • Ability to speak professionally to customers, vendors, and stakeholders.
  • Ability to explore new mapping tools and put them to use through trial and error.
  • Be able to work independently with customers to understand requirements and collaboratively develop solutions.
  • Previous experience using QGIS/ArcGIS a plus.
  • An ability to think critically about logistics and help drive the process.
  • History of working well with a small, cross-functional team
  • Bachelor's degree preferred.
  • This position may require some travel.
  • Requires sitting or standing at will while performing work on a computer (or any other physical requirements).

What We Offer:

  • A great Team and culture - please see our colleague video. 
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start. 
  • An attractive salary and benefits package. 
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups. 
  • A company committed to making a real difference by advancing the world's infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact. 

#LI-NI1 #LI-Remote

About Bentley Systems

Around the world, infrastructure professionals rely on software from Bentley Systems to help them design, build, and operate better and more resilient infrastructure for transportation, water, energy, cities, and more. Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms and owner-operators worldwide, with software that spans engineering disciplines, industry sectors, and all phases of the infrastructure lifecycle. Through our digital twin solutions, we help infrastructure professionals unlock the value of their data to transform project delivery and asset performance. www.bentley.com

Equal Opportunity Employer:

Bentley is an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, sex, sexual orientation, gender identity, disability, pregnancy, protected veteran status, religion, national origin, age, genetic information or any other protected characteristic.  This commitment extends to all aspects of employment, including, but not limited to, hiring, placement, promotion, compensation, and training. Know Your Rights as an applicant under the law.

Bentley Policy on EEO, Affirmative Action and Pay Transparency Non-Discrimination

Bentley participates in e-Verify / Bentley participate in e-Verify / Right to Work Notice

Request an Accommodation:

As an Equal Opportunity Employer, Bentley is committed to providing reasonable accommodations to applicants with disabilities. We encourage you to request a reasonable accommodation if you are not able to fully use or access our online application system.   You can make an accommodation request by calling 610-458-5000 or sending us an email at disabilityrequest@bentley.com