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Machine Learning Engineer Associate Jobs in Arlington, TX

Senior Staff Machine Learning Engineer

Dallas, TX

$103.80K - $142.60K/yr

Machine Learning Engineer At PowerSchool, we are a dedicated team of innovators guided by our shared purpose of powering personalized education for students around the world. From the central office ...

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Machine Learning Engineer - NJ

Addison, TX

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work closely with product and ...

Developer We can consider associates with Python and R experience. Experience range will be 3-5 years. • Hands-on experience with various machine learning algorithms like Naïve Bayes, Logistic ...

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Showing results 1-20

Machine Learning Engineer Associate information

See Arlington, TX salary details

$37.3K

$74.4K

$118.8K

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

As of Jun 1, 2026, the average yearly pay for machine learning engineer associate in Arlington, TX is $74,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,900.00 and $85,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.
What are the most commonly searched types of Machine Learning Engineer jobs in Arlington, TX? The most popular types of Machine Learning Engineer jobs in Arlington, TX are:
What are popular job titles related to Machine Learning Engineer Associate jobs in Arlington, TX? For Machine Learning Engineer Associate jobs in Arlington, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Arlington, TX look for? The top searched job categories for Machine Learning Engineer Associate jobs in Arlington, TX are:
What cities near Arlington, TX are hiring for Machine Learning Engineer Associate jobs? Cities near Arlington, TX with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer, Specialist

Machine Learning Engineer, Specialist

Vanguard Group

Dallas, TX • On-site

$113.30K - $136K/yr

Full-time

Posted 10 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Responsibilities:
  • Develops complex data pipelines and implements data engineering design principles for iterative data pipeline development to drive scale and efficiency. Proficient in model development environments and coding best practices to enable model deployment.
  • Integrates and optimizes existing data and model pipelines in a production environment. Identifies and diagnoses data inconsistencies and errors, documents assumptions, and forages to fill data gaps. Applies knowledge of experimental methodologies, statistics, optimization, probability theory, and machine learning concepts to create self-running artificial intelligence (AI) systems to automate predictive models. Proficient in SDLC processes and related tools and technologies.
  • Partners with data science teams to review model ready dataset document/feature documentation. Develops data model design and document and reviews for completeness with data science teams.
  • Partners with data science teams to understand data requirements, performs data discovery for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs. Drives efficiency through the use of data discovery tools.
  • Engages with internal stakeholders to understand and probe business processes and develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
  • Writes model monitoring scripts as needed. Diagnoses root causes based on model monitoring alerts and triages issues. Coordinates and plans response to model monitoring alerts and resolves issues.
  • Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Participates in special projects and performs other duties as assigned.
  • Designs and implements statistical analysis frameworks and protocols to uncover business trends across functions like marketing, supply chain, and economics.
  • Applies advanced data mining techniques to build scalable models for deriving actionable insights from large-scale data sets.
  • Explores and integrates evolving methodologies in machine learning and big data science to enhance decision-making strategies.

Qualifications:
  • Minimum 8 years of experience in machine learning engineering or data science roles
  • Bachelor's degree (B.E./B.Tech) in Computer Science, Data Engineering, AI/ML, or related fields, or a Master's degree/Diploma in Computer Science or Data Science
  • Strong expertise in data pipeline development, statistical modeling, SDLC, AI/ML concepts, model monitoring, and stakeholder engagement across domains

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

Pay

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