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Machine Learning Engineer Python Jobs in Victorville, CA

SynergisticIT

Entry Level Cloud Engineer

Fontana, CA · On-site

We are continuously looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

SynergisticIT

Entry Level PowerBI Developer

Fontana, CA · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

SynergisticIT

Mern Stack Developer

Rancho Cucamonga, CA · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123.20K - $162.50K/yr

Develop Python-based machine learning components that enhance how users assess, understand, and ... Build scalable ML pipelines and data engineering processes to improve overall system architecture

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$54.75 - $72.50/hr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$123.14K - $202.49K/yr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site +1

$123.14K - $202.49K/yr

... Engineer to help advance the next generation of geospatial data quality capabilities across the ... Develop Python-based machine learning components that enhance how users assess, understand, and ...

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

Epic

Software Engineer

San Bernardino, CA · On-site

... and machine learning tools to drive innovation in healthcare. • Invent better ways to reduce ... Engineering, Computer Engineering, or a related field • A history of academic excellence or ...

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All JobsMachine Learning Engineer Python JobsMachine Learning Engineer Python Jobs in Victorville, CA

Machine Learning Engineer Python information

See Victorville, CA salary details

$24.2K

$147.5K

$213.4K

How much do machine learning engineer python jobs pay per year?

As of Jun 3, 2026, the average yearly pay for machine learning engineer python in Victorville, CA is $147,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.

What is the difference between Machine Learning Engineer Python vs Data Scientist?

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What are popular job titles related to Machine Learning Engineer Python jobs in Victorville, CA? For Machine Learning Engineer Python jobs in Victorville, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Python jobs in Victorville, CA look for? The top searched job categories for Machine Learning Engineer Python jobs in Victorville, CA are:
What cities near Victorville, CA are hiring for Machine Learning Engineer Python jobs? Cities near Victorville, CA with the most Machine Learning Engineer Python job openings:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in Victorville, CA as of May 2026, with employment types broken down into 42% Full Time, 56% Part Time, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $147,526 per year, or $70.9 per hour.
Distributed Systems Software Engineer, Python / Go

Distributed Systems Software Engineer, Python / Go

Canonical

San Bernardino, CA • On-site

Full-time

Posted 3 days ago

Job description

Distributed Systems Software Engineer, Python / GoJoin to apply for the Distributed Systems Software Engineer, Python / Go role at CanonicalDistributed Systems Software Engineer, Python / Go3 months ago Be among the first 25 applicantsJoin to apply for the Distributed Systems Software Engineer, Python / Go role at CanonicalGet AI-powered advice on this job and more exclusive features.We are seeking a software engineer with a passion for building and validating resilient distributed systems. At Canonical you can build a career and drive the success of those leveraging Canonical's Ubuntu and Juju to build multi-cloud deployable cloud applications.We see quality engineering as a first class engineering practice and are looking for people who can bring deep engineering insights and a data driven approach to test automation, reporting and data analytics.The Distributed Systems testing team at Canonical is responsible for ensuring the high quality of Canonical's Cloud solutions based on Juju, Terraform, OpenStack, Kubernetes when deployed under highly diverse conditions, from bare metal in customer data centers to public clouds like AWS, GCE, Azure.As a software engineer you will have the opportunity to develop CI pipelines which power Canonical's cloud integration testing and reporting. Upcoming initiatives you will have the opportunity to contribute to include expanding deployment capabilities to new clouds and developing AI/ML pipelines for automatic analysis of test results.

A successful candidate is interested in tackling these problems, as well as imagining and leading new initiatives within the team and across Canonical.Location: this is a Globally remote roleWhat your day will look likeCreate automated testing approaches and infrastructure for validating reliability, performance, and resilience of cloud orchestration tools and applicationsEnable engineering teams across Canonical to develop software with confidence by making distributed system testing tooling available across the companyEnhance continuous integration pipelines for deploying and testing Canonical's cloud native products such as KubeflowDeploy, manage, and debug highly distributed systemsMonitor and report on automated testing effortsCollaborate daily with a globally distributed teamWhat we are looking for in youSolid background in modern test processes and strategiesExperience with Python or Go developmentStrong object oriented development skillsAbility to develop and ship production grade modern web applicationsWorking knowledge of continuous integration tools such as Jenkins, CircleCI, GitHub CIKnowledge of networking technologies and fundamentalsSolid understanding of Linux system architectureA capacity for complex abstract thinkingCapability for 2-4 weeks of international travel travel per yearAdditional skills that you might also bringCollecting and analyzing large multidimensional datasetsOperating data platforms: key-value stores, relational or document databases, event busesWork with cloud technologies such as OpenStack, Kubernetes, Terraform and AWSDeveloping AI/ML pipelinesWhat we offer youWe consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus.

We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.Distributed work environment with twice-yearly team sprints in person - we've been working remotely since 2004!Personal learning and development budget of USD 2,000 per yearAnnual compensation reviewRecognition rewardsAnnual holiday leaveMaternity and paternity leaveEmployee Assistance ProgrammeOpportunity to travel to new locations to meet colleagues from your team and othersPriority Pass for travel and travel upgrades for long haul company eventsCanonical believes a diverse workforce enhances our ability to deliver world class software and services which meet the world's computing needs. We are committed to ensuring equal employment opportunities to all qualified individuals.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Seniority levelSeniority levelEntry levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Canonical by 2xSign in to set job alerts for "System Software Engineer" roles.Software Engineer - Solutions EngineeringGraduate Software Engineer, Open Source and Linux, Canonical UbuntuPython and Kubernetes Software Engineer - Data, AI/ML & AnalyticsOntario, CA $163,000.00-$247,000.00 2 weeks agoSoftware Engineer (Python/Linux/Packaging)AI Ops Automation Engineer - CEO's Office (Remote)Software Engineer - Cross-platform C++ - MultipassPython and Kubernetes Software Engineer - Data, Workflows, AI/ML & AnalyticsAssociate Software Engineer | Active Secret clearanceHome Gardens, CA $63,750.00-$86,250.00 3 days agoSystem Software Engineer - GCC/LLVM compiler, tooling, and ecosystemPython Software Engineer - Ubuntu Hardware Certification TeamWe're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.J-18808-Ljbffr

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