2

Remote Machine Learning Jobs in Utica, MI (NOW HIRING)

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Palantir, Data Engineer

Detroit, MI · Remote

$113K - $135K/yr

A healthcare company based in the Midwest is looking to hire a remote Data Engineer with some monthly regional travel. They are midway through a Palantir Foundry implementation, and are looking for ...

Benefit Summary This role is remote but if you live within 50 miles within Dearborn, MI, you will be required on-site 4x a week. *Visa Sponsorship IS provided for this specific role * *Relocation ...

Remote • XtendM3 certification from Infor. • Experience in developing mashup in multi-tenant cloud. • Must have worked in an Infor-M3 environment for over 10 years • Must understand ...

Senior Software Engineer I

Detroit, MI · Remote

$121K - $159K/yr

From understanding the business problem, shaping the technical approach, building across the stack, deploying to production, and learning from real usage. You will be expected to use AI as a core ...

next page

Showing results 1-20

Remote Machine Learning information

See Utica, MI salary details

$23.3K

$38.8K

$80.3K

How much do remote machine learning jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote machine learning in Utica, MI is $38,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,600.00 and $42,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually. Compensation may include base salary, bonuses, and stock options, especially in high-demand markets.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

How to make 2000 a week working from home?

Remote machine learning professionals can earn $2,000 or more weekly by taking on high-paying freelance projects, consulting roles, or working for companies that offer remote positions with competitive salaries. Building specialized skills in programming, data analysis, and tools like Python, TensorFlow, or cloud platforms can increase earning potential. Consistent work, a strong portfolio, and networking are key to reaching this income level from home.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Are there remote machine learning jobs?

Yes, remote machine learning jobs are widely available across various industries, often requiring skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch. Many companies offer flexible schedules and remote work options for qualified candidates, especially in tech and research sectors.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role involves understanding algorithms, data preprocessing, and model optimization. While AI automation tools can handle certain tasks, MLEs are essential for creating, fine-tuning, and maintaining complex AI systems, making complete replacement unlikely in the near term.
What cities near Utica, MI are hiring for Remote Machine Learning jobs? Cities near Utica, MI with the most Remote Machine Learning job openings:
Infographic showing various Remote Machine Learning job openings in Utica, MI as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $38,849 per year, or $18.7 per hour.
Technical Lead AI Accelerated Software Engineering

Technical Lead AI Accelerated Software Engineering

X by 2

Detroit, MI • On-site, Remote

$143K - $185K/yr

Full-time

Re-posted 12 days ago


Job description

X by 2 is a technology consulting firm specializing in healthcare and insurance transformation. For over 25 years, we have partnered with leading organizations across North America, from strategy and architecture to system modernization, data analytics, and AI, delivering high-impact solutions from start to finish. We're agile, collaborative, and deeply committed to doing consulting the way it was meant to be done.

We are looking for a Technical Lead who will lead the design and development of enterprise software solutions. You'll combine hands-on engineering with leadership, guiding architecture decisions, mentoring teams, and building solutions.

Responsibilities
  • Technical Leadership & Architecture

    • Lead architecture, design, development, testing, and deployment of enterprise software solutions (applications, data, integration, AI agents, AI models)

    • Translate fuzzy, ambiguous business problems into concrete, well-scoped technical solutions that teams can execute against

    • Participate in strategy and roadmap discussions, architecture definition, and technology evaluations

    • Mentor engineers through design reviews, code reviews, and technical guidance

    • Quickly evaluate and adopt new tools, technologies, and platforms to build prototypes and proofs-of-concept

    • Drive adoption of the use of AI in the software development life-cycle with engineering teams, product leaders, and domain experts to deliver results

  • Software Engineering

    • Design, develop, and maintain scalable, production-grade enterprise applications using modern languages and frameworks (e.g., Python, Java, C#, JavaScript)

    • Define and enforce coding standards, best practices, and design patterns across the team

    • Build a strong testing culture, including unit, integration, and end-to-end testing, and design systems for testability from the outset

    • Establish and evolve automated testing strategies and quality gates within CI/CD pipelines

    • Build and maintain CI/CD pipelines, infrastructure-as-code, and cloud-deployed services (AWS, Azure)

    • Integrate enterprise systems using common approaches such as APIs, event-driven architectures, and messaging platforms

    • Identify and resolve performance bottlenecks, technical debt, and system reliability issues

Qualifications
  • Experience

    • 6+ years of experience in software engineering designing and developing enterprise applications, data/analytics solutions, and/or integration solutions

    • 1+ years of providing technical leadership as Tech Lead, Lead Engineer, or Architect

    • 1+ years in AI-augmented software development of enterprise solutions

  • Education

    • Bachelor's Degree in Computer Science, Software Development, Software Engineering, or Computer Engineering

    • (Optional) Master's Degree or Minor in AI/Machine Learning

  • Software Engineering Skills

    • Programming (e.g., Python, Java, C#, JavaScript)

    • Data (e.g., Relational Modeling, SQL, Document Databases, Graph Databases)

    • Integration & Messaging: REST/GraphQL APIs, event-driven architectures, and messaging platforms (e.g., Kafka, RabbitMQ, Azure Service Bus)

    • Containerization (e.g., Docker, Kubernetes)

    • Cloud Platforms (e.g., AWS, Azure)

  • AI Engineering Skills

    • AI-Augmented Development: Using AI coding assistants to accelerate software development (e.g., GitHub Copilot, Claude Code, OpenAI Codex, Cursor)

    • LLM Prompt Engineering & Fine-Tuning: Designing effective prompts, system instructions, and fine-tuning strategies for LLM applications within the context of the software development life-cycle.

  • What We're Looking For

    • You move fluidly between writing code and leading a room, equally comfortable in a design review as you are in a pull request

    • You have strong opinions about architecture and aren't afraid to share them, but you know when to listen and adapt

    • You take ownership seriously, on small teams, your decisions have real impact and you're energized by that, not intimidated

    • You're genuinely curious about AI, not just checking a box, you've experimented with agentic systems, LLMs, or ML tools on your own terms

    • You communicate clearly with both engineers and non-technical stakeholders, and can translate complexity without dumbing it down

Location
  • Metro Detroit Area in Michigan

  • Hybrid: Flexibility to work remotely, but not fully remote

  • Travel to X by 2 offices (Farmington Hills, MI) and client sites (within US) is required when requested

Work Environment and Culture
  • Work alongside smart, collaborative people who continually challenge and invest in each other

  • Partner with seasoned architects to solve hard problems and challenge assumptions

  • Small teams mean real ownership, with growth and responsibilities driven purely by individual performance

  • Everyone has a voice and is encouraged to shape the company by sharing their interests, ideas, and feedback

Compensation & Benefits
  • Base salary $143K–$185K, depending on experience, plus profit sharing

  • Annual raises and promotions based on performance

  • 401(k) with employer match

  • Comprehensive health, vision, dental, life, and disability insurance coverage, plus voluntary benefits and HSA with employer contribution

  • Home Office Reimbursement, Health and Wellness Reimbursement, and Professional Dress Allowance

  • Professional Self-Development Program

  • Paid vacation, unlimited sick days (as needed), and holidays

  • Company-sponsored social events and an employee recognition rewards program

Sound Like You?

We're not looking for someone who has done everything, we're looking for someone who is driven to. If you thrive in environments where you can move fast, go deep, and make a real difference for clients solving complex problems in healthcare and insurance, we'd love to hear from you.

 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.


X by 2 logo

About X by 2

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998