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Sr Machine Learning Engineer Jobs in Temple, TX (NOW HIRING)

AxisCare

Software Engineer (Mid-Level)

Waco, TX · Remote

This is a senior-track position, and you'll find a team of senior and staff engineers deeply ... Share what you're learning. This is a team sport, and the team only gets better if wins and lessons ...

AxisCare

Software Engineer (Mid-Level)

Waco, TX · Remote

This is a senior-track position, and you'll find a team of senior and staff engineers deeply ... Share what you're learning.This is a team sport, and the team only gets better if wins and lessons ...

AxisCare

Software Engineer (Mid-Level)

Waco, TX · On-site

This is a senior-track position, and you'll find a team of senior and staff engineers deeply ... Share what you're learning. This is a team sport, and the team only gets better if wins and lessons ...

SST Direct

Senior Sourcing Specialist

Mcgregor, TX · On-site

Serve as a trusted sourcing advisor to engineering, operations, and planning, ensuring sourcing ... Strong understanding of the full procure-to-pay lifecycle If you are interested in learning more ...

AxisCare

Senior Product Manager

Waco, TX · On-site

$112K - $148K/yr

- Senior Product Manager Reports To - VP of Product Management Position Summary As a Senior Product ... learning. * Collaborate closely with Engineering to co-create solutions that take advantage of ...

AxisCare

Senior Product Manager

Waco, TX · On-site

$120 - $170/hr

- Senior Product Manager Reports To - VP of Product Management Position Summary As a Senior Product ... learning. * Collaborate closely with Engineering to co-create solutions that take advantage of ...

AxisCare

Senior Product Manager

Waco, TX · On-site

$112K - $148K/yr

- Senior Product Manager Reports To - VP of Product Management Position Summary As a Senior Product ... learning. * Collaborate closely with Engineering to co-create solutions that take advantage of ...

AxisCare

Senior Product Manager

Waco, TX · Remote

$129K - $170K/yr

- Senior Product Manager Reports To - VP of Product Management Position Summary As a Senior Product ... learning. * Collaborate closely with Engineering to co-create solutions that take advantage of ...

Texas Hydraulics Inc

Maintenance Manager

Temple, TX · On-site

This role is responsible for improving equipment reliability, machine availability, facility ... The Senior Maintenance Manager will lead the continued development of the maintenance function from ...

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Showing results 41-60

All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Temple, TX

Sr Machine Learning Engineer information

See Temple, TX salary details

$55.3K

$117.6K

$170.5K

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

As of Aug 19, 2026, the average yearly pay for sr machine learning engineer in Temple, TX is $117,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $133,300.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What are popular job titles related to Sr Machine Learning Engineer jobs in Temple, TX?

For Sr Machine Learning Engineer jobs in Temple, TX, the most frequently searched job titles are:

What cities near Temple, TX are hiring for Sr Machine Learning Engineer jobs?

Cities near Temple, TX with the most Sr Machine Learning Engineer job openings:

Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Temple, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $117,575 per year, or $56.5 per hour.

Senior Manager, Site Reliability Engineering - Paylo Platform

PDI Technologies

Temple, TX • On-site

Full-time

Posted 5 days ago

PDI Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

137th of 245 rated software companies

Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency. By "Connecting Convenience" across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We're a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Role Overview
PDI Technologies is looking for a Senior Manager, Site Reliability Engineering to lead the SRE organization supporting Paylo, PDI's payments, loyalty, and fuel-pricing product suite. This role owns the reliability, infrastructure, and operational strategy for a portfolio of high-traffic, customer- and partner-facing platforms that power payment transactions, fuel pricing, loyalty and rewards, and offer/coupon redemption for convenience retail and fuel customers around the world.
This is a hands-on, leadership-first role. You will manage a team of three SRE Managers/Leads who together lead approximately 20 engineers, while staying technically engaged yourself - reviewing architecture, unblocking hard infrastructure problems, and setting the technical bar across the organization. You will bring strong, current, hands-on expertise across AWS, Azure, Kubernetes, Helm, Argo CD, Terraform/OpenTofu, Jenkins, and Datadog, and you will be a strong, visible people leader who can coach managers and represent SRE to senior engineering and business stakeholders.
Key Responsibilities
  • Directly manage and develop 3 SRE Managers/Leads and own the overall health, growth, and performance of an ~20-person SRE organization supporting the Paylo product suite.
  • Set the vision, priorities, and operating cadence for the SRE function; translate business and product priorities into a reliability roadmap your managers can execute against.
  • Build a strong bench by hiring, coaching, and developing managers and senior engineers while creating clear career paths and succession plans.
  • Foster a blameless, learning-oriented culture around incidents, on-call, and operational excellence.
  • Partner closely with engineering directors, product managers, and business stakeholders across the Paylo organization to align reliability investments with business risk and customer impact.
  • Stay technically engaged day to day by participating in architecture and design reviews, troubleshooting complex production issues, and directly contributing to infrastructure-as-code, Kubernetes manifests/Helm charts, and CI/CD pipelines when needed.
  • Set and enforce engineering standards for multi-cloud infrastructure across AWS and Azure and for container orchestration on Kubernetes at scale.
  • Own adoption and standards for GitOps-based continuous delivery using Argo CD/Argo Workflows, including deployment strategy, rollout policy, and multi-cluster promotion.
  • Own the Infrastructure-as-Code strategy across teams (Terraform, OpenTofu), including module standards, state management, drift detection, and remediation.
  • Own CI/CD pipeline architecture and standards built on Jenkins, driving build/deploy automation, pipeline reliability, and progressive delivery practices such as blue-green/canary deployments and automated rollback.
  • Evaluate and guide adoption of new infrastructure tooling and patterns as the platform evolves across AWS and Azure.
  • Own the observability strategy across all supported products, with deep, hands-on expertise in Datadog (APM, infrastructure monitoring, log management, dashboards, and alerting) as the standard platform for metrics, tracing, and alerting.
  • Define and drive adoption of SLIs/SLOs, error budgets, and reliability KPIs across the organization, holding managers and teams accountable to them.
  • Own the incident management program end to end, including on-call structure, escalation paths, severity definitions, postmortems, and follow-through on remediation actions.
  • Drive root-cause analysis and long-term reliability investments that reduce Sev1/Sev2 frequency and recurrence.
  • Ensure appropriate resilience, disaster recovery, and capacity planning practices are in place given the sensitivity of payment- and transaction-related systems.
  • Partner with Security and Compliance to maintain awareness of PCI DSS and related compliance requirements and ensure the SRE organization supports audit and compliance readiness.
  • Track and report cost, capacity, and operational KPIs to senior leadership.

Required Qualifications
  • 8+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure/Platform Engineering, including 4+ years in a people-leadership role.

  • Proven experience managing managers - you have directly led team leads/managers, not just individual contributors, and are comfortable operating at the scale of ~20 total reports.

  • Strong, hands-on expertise across AWS and Azure - you can architect, troubleshoot, and operate multi-cloud infrastructure yourself, not just direct others to do so.

  • Strong, hands-on expertise with Kubernetes and Helm - cluster operations, troubleshooting at scale, and chart design/maintenance.

  • Strong, hands-on expertise with Argo CD/Argo Workflows for GitOps-based continuous delivery.

  • Strong, hands-on expertise with Infrastructure as Code (Terraform, OpenTofu), including module design and state management.

  • Strong, hands-on expertise with Jenkins for CI/CD pipeline design, administration, and automation.

  • Strong, hands-on expertise with Datadog (or equivalent enterprise observability platform), including designing monitoring/alerting strategy, dashboards, and APM/tracing at scale.

  • Demonstrated track record of driving incident management, on-call, and postmortem programs for high-traffic, customer-facing systems.

  • Excellent communication and stakeholder-management skills; able to represent SRE to engineering leadership and business partners with equal credibility.

  • A strong, visible leadership style - someone who sets clear direction, holds teams accountable, and builds trust across the organization.
  • Applicants must be legally authorized to work in the United States without the need for employer sponsorship, now or in the future. PDI Technologies is unable to offer visa sponsorship for this role.

Preferred Qualifications
  • Experience supporting payments, fuel/retail, or loyalty platforms, or other systems with PCI DSS or similar compliance obligations.

  • Relevant certifications such as CKA/CKAD, AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or HashiCorp Terraform Associate.

  • Experience with messaging systems (Kafka/SQS/SNS), PagerDuty (or similar), and multi-region/multi-AZ resilience patterns.

  • Prior experience consolidating or standardizing SRE and DevOps practices across multiple product lines or recently-integrated/acquired teams.

  • Experience partnering with product and business stakeholders to translate reliability investments into business outcomes.

What Success Looks Like
  • A stable, well-led SRE organization with clear ownership, career paths, and low regrettable attrition among your managers and their teams.

  • Consistent, Datadog-driven observability and SLOs in place across the organization, with measurable reduction in Sev1/Sev2 incidents and mean time to detect/resolve.

  • Modern, standardized infrastructure practices - GitOps delivery via Argo, IaC via Terraform/OpenTofu, and reliable CI/CD via Jenkins - adopted consistently across teams and clouds.

  • A mature, blameless incident-management culture with strong postmortem follow-through.

  • Strong cross-functional trust with engineering, product, and security/compliance stakeholders.

PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
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.

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