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Senior Mlops Engineer Jobs in Spring, TX (NOW HIRING)

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

Vitol

Senior Machine Learning Engineer

Houston, TX · On-site

$117K - $154K/yr

Experience with cloud platforms (AWS preferred) and modern MLOps practices: containerization ... and senior management * Genuine intellectual curiosity about commodities markets, global energy ...

iShare Inc

SENIOR MODELING LEAD

Houston, TX · On-site

Collaborate cross-functionally with data engineering, technology, operations, and business teams to ... Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large ...

NAVA Software Solutions

Staff Data Scientist

Spring, TX · On-site

... * DevOps & MLOps: Proficient in CI/CD pipelines, containerization (Docker, Kubernetes), and cloud ... senior leadership. * Project Ownership: Proven ability to own the full project lifecycle - from ...

iShare, Inc.

SENIOR MODELING LEAD

Houston, TX · On-site

$145K - $165K/yr

Collaborate cross-functionally with data engineering, technology, operations, and business teams to ... Strong proficiency in Python; familiarity with modern AI/ML frameworks, MLOps tooling, and large ...

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All JobsMlops Engineer JobsSenior Mlops Engineer JobsSenior Mlops Engineer Jobs in Spring, TX

Senior Mlops Engineer information

See Spring, TX salary details

$52.9K

$112.6K

$163.3K

How much do senior mlops engineer jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior mlops engineer in Spring, TX is $112,622.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $127,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a senior MLOps engineer?

To thrive as a Senior MLOps Engineer, you need deep expertise in machine learning workflows, software engineering, and cloud infrastructure, typically supported by a degree in computer science or related fields. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and platforms such as AWS, GCP, or Azure, as well as certifications in cloud or DevOps, are highly valuable. Strong problem-solving, collaboration, and communication skills set standout professionals apart in this role. These skills and qualities are crucial to ensuring robust, scalable, and efficient deployment of machine learning models in production environments.

What is the difference between Senior Mlops Engineer vs Data Scientist?

AspectSenior Mlops EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with ML deployment toolsBachelor's/Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in productionFocus on data analysis, model development, and insights generation
Industry UsageUsed in tech, finance, healthcare for ML deploymentUsed across industries for data analysis and modeling

The main difference is that Senior Mlops Engineers specialize in deploying and maintaining machine learning models in production environments, while Data Scientists focus on developing models and analyzing data. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ significantly.

What are some common challenges senior MLOps engineers face when deploying machine learning models to production environments?

Senior MLOps Engineers often encounter challenges such as managing model versioning, ensuring reproducibility, and scaling deployments across diverse infrastructure. Balancing the needs of data scientists for experimentation with the stability and reliability requirements of production systems can be complex. Additionally, integrating continuous integration and continuous deployment (CI/CD) pipelines for ML workflows and monitoring model performance post-deployment are ongoing responsibilities. Collaboration with data scientists, software engineers, and IT operations is crucial to address these challenges and maintain robust, efficient ML systems.

What is a senior MLOps engineer?

A Senior MLOps Engineer is an experienced professional who bridges the gap between data science, machine learning, and software engineering. They are responsible for designing, deploying, and maintaining scalable machine learning systems in production environments. Their role involves automating workflows, monitoring model performance, ensuring reproducibility, and managing the infrastructure needed to support machine learning operations. Senior MLOps Engineers also collaborate with data scientists, software developers, and IT teams to ensure smooth integration and continuous delivery of ML models. They play a crucial role in making machine learning solutions reliable, efficient, and scalable for business applications.

What are popular job titles related to Senior Mlops Engineer jobs in Spring, TX?

For Senior Mlops Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Senior Mlops Engineer jobs in Spring, TX look for?

The top searched job categories for Senior Mlops Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Senior Mlops Engineer jobs?

Cities near Spring, TX with the most Senior Mlops Engineer job openings:

Senior Mlops Engineer jobs near you
Infographic showing various Senior Mlops Engineer job openings in Spring, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $112,622 per year, or $54.1 per hour.

Engineer Software Developer Cloud Tech

Apex 2000

Houston, TX • On-site

Other

Posted 4 days ago

Job description

Senior/Lead Cloud Software Engineer
Location: Houston, TX
Duration: 9-12 Month
JD

Area of Responsibility (Job duties encompassing one or more of the following)

Essential Function

Contributes strategic technology vision and integrates a broad range of ideas regarding applications and software development. Presents, communicates, and articulates technical processes effectively to all levels within the organization (including technical and non-technical audiences, Senior Leadership, VPs and the C-level executives).

Undertakes complex applications development and maintenance projects involving multiple disciplines and multiple facets of the business. Implements software engineering best practices.

Develops enterprise-level information technology solutions by analyzing, coding, testing, and implementing new and by modifying existing software applications.

Leads design/coding sessions, develops and maintains solutions.

Articulates design and resolves technical/design conflicts as they occur.

Coordinates with business analysts and users to determine requirements. Performs analysis of system requirements and existing business processes.

Works with customers and technical staff to resolve problems with software and responds to suggestions for improvements and enhancements.

Reviews systems under development and related documentation. Participates in the development of software.

Should have a Product mindset and Leads advanced systems planning, scheduling and implementation.

Required Qualifications

Masters s or bachelor s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.

At least 10+ years of Information Technology experience

Preferred Skills

Cloud Technologies: AWS Services such as Lambda, IAM, S3, EFS, SQS, SNS, API Gateway, CLI, Kinesis, Glue, Elasticache (Redis), CloudWatch, CloudFormation, EC2

Experience working with Databases: Oracle, SQL, Server, PostgreSQL and NoSQL databases such as Cassandra and Dynamo DB

Experience with Big Data Technologies like Spark, Glue

Containers : Docker/Kubernetes/ECS

Integrations : REST, API , Synch, Asynch , Realtime, Batch

Network : VPC, Subnet, SG, IP ( CIDR )

Security : WAF, Encryption , Access Control, Identity , SSO, MFA

Performance/reliability: Auto-scale, ASG, ALB, NLB

Storage/Datawarehouese : EFS, S3, Snowflake, SQL

Proficiency in Python

Good to Have- Shell (Unix) /Batch Script

Angular, Node JS

Knowledge of Service Oriented, Microservices and Event-driven design patterns

Knowledge of Machine Learning foundations : Performance /Accuracy Metrics, Hyper-parameters, Training, Feedback, Inference

Experience working on complex cloud-based software projects, web application development, security and open-source technologies

Knowledge of enterprise coding standards

Ability to perform code reviews

Knowledge of software methodologies and agile development methodologies

Observability CloudWatch/CloudTrail, Event Bridge, Data Dog or any industry standard tools

Ensure reusability using framework, Domain Driven Approach, Modular Coding, Analytical, Data Driven Approach

Ability to estimate effort.

Be able to translate Business needs into technology goals

Be able to troubleshoot issues using services/resources/platforms/logs

Strategic thinker, innovative, responsible, confident, clear in thoughts, collaborative and has good communication skills

Understanding of MLOps.

Good understanding of Enterprise DevOps practice.

Apply