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Machine Learning Engineer Jobs in Topeka, KS (NOW HIRING)

Sr. Software Engineer

Osage City, KS · On-site

$104K - $137K/yr

The Senior Software Engineer role involves leading the design, development, and delivery of ... learning Preferred : • Prior experience with financial technology (FinTech) or large-scale data ...

Transmission Engineering - Substation Protection & Control - Wichita Service Center or Topeka General Office LOCATION: Wichita, KS Topeka, KS PAY GRADE: (Min-Mid-Max) Engineer I: $68,500 - $85,600 ...

Transmission Engineering - Substation Protection & Control - Wichita Service Center or Topeka General Office LOCATION: Wichita, KS Topeka, KS PAY GRADE: (Min-Mid-Max) Engineer I: $68,500 - $85,600 ...

Senior Staff Engineer

Topeka, KS · On-site

$98K - $135K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

Senior Staff Engineer

Topeka, KS

$98K - $135K/yr

Provide engineering and consulting services for a broad array of projects and clients. This may include performing and/or leading field investigations, engineering analysis, calculations, and ...

The engineer will design and implement new feature sets, improve existing applications, debug complex issues, and support sports data analytics tools and processes. This position is expected to ...

The engineer will design and implement new feature sets, improve existing applications, debug complex issues, and support sports data analytics tools and processes. This position is expected to ...

Software Engineer IV

Lawrence, KS · On-site

$180K - $200K/yr

The engineer will design and implement new feature sets, improve existing applications, debug complex issues, and support sports data analytics tools and processes. This position is expected to ...

We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our people, our clients, and our company.

We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results - for our people, our clients, and our company.

Data Center Senior Operating Engineer On site in Topeka, KS, with BNSF What this job involves The Operating Engineer will have a strong focus on operating, maintaining, troubleshooting and repairing ...

Data & AI Engineer

Lawrence, KS · On-site

$108K - $129K/yr

Youll collaborate with teams such as Software Engineering, Data, Business Analysts, and Other technology stakeholders to create intelligent workflows, build/refine models and apply AI to real-world ...

Data Engineer

Topeka, KS · On-site

$108K - $130K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

... machining, heavy equipment rentals, commercial doors and hardware, engineered railing and ladder ... Strong Excel skills and comfort learning accounting and dealership software systems. Equal ...

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Machine Learning Engineer information

See Topeka, KS salary details

$29.8K

$122K

$183.4K

How much do machine learning engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning engineer in Topeka, KS is $122,016.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $146,900.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Topeka, KS? The most popular types of Machine Learning Engineer jobs in Topeka, KS are:
What are popular job titles related to Machine Learning Engineer jobs in Topeka, KS? For Machine Learning Engineer jobs in Topeka, KS, the most frequently searched job titles are:
What cities near Topeka, KS are hiring for Machine Learning Engineer jobs? Cities near Topeka, KS with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Topeka, KS as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $122,016 per year, or $58.7 per hour.
Sr. Software Engineer

Sr. Software Engineer

SS&C Technologies

Osage City, KS • On-site

$104K - $137K/yr

Full-time

Posted 10 days ago


SS&C Technologies rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

121st of 209 rated software companies


Job description

Job Summary:
SS&C Technologies is a leading financial services and healthcare technology company headquartered in Windsor, Connecticut. The Senior Software Engineer role involves leading the design, development, and delivery of scalable software solutions, collaborating with various teams to ensure high standards of quality and performance.
Responsibilities:
• Define and drive architectural vision for large-scale, distributed systems across multiple products and platforms
• Lead the end-to-end delivery of complex, mission-critical initiatives, from concept through deployment and optimization
• Partner with executive stakeholders, product leaders, and engineering teams to align technical strategy with business objectives
• Establish and enforce engineering standards, architectural patterns, and best practices across teams
• Serve as a technical escalation point for the most complex system design challenges and production issues
• Mentor and develop senior and junior engineers, scaling technical leadership across the organization
• Drive cross-team collaboration to ensure cohesive system design and seamless integration across platforms
• Evaluate and introduce emerging technologies, frameworks, and tools to enhance scalability, performance, and developer productivity
• Lead AI-first engineering initiatives, embedding AI-assisted development practices into the software lifecycle
• Influence and optimize development processes, DevOps maturity, and CI/CD frameworks
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field
• 8–12+ years of progressive experience building and delivering enterprise-grade, distributed systems
• Proven track record of leading large-scale technical initiatives with significant business impact
• Deep expertise in at least one primary language (Java, C#, Python, or JavaScript) with polyglot capability
• Advanced knowledge of software architecture patterns, including microservices, event-driven systems, and domain-driven design
• Strong experience with cloud-native architectures (AWS, Azure, or GCP) and containerization/orchestration (e.g., Kubernetes)
• Expertise with relational and NoSQL databases and large-scale data system design
• Deep understanding of DevOps practices, CI/CD pipelines, and system observability
• Exceptional problem-solving, communication, and stakeholder management skills
• Demonstrated ability to design and scale highly distributed, fault-tolerant systems across complex ecosystems
• Experience shaping multi-year technical roadmaps and influencing organizational technology direction
• Strong architectural judgment with the ability to navigate trade-offs at scale
• Proven experience working in or building toward an AI-first engineering organization
• Advanced use of AI-assisted tools for code generation, refactoring, testing, debugging, and documentation
• Leadership in adopting AI-driven practices to accelerate delivery and improve engineering quality
• Ability to lead large, cross-functional initiatives with minimal oversight
• Strong executive presence with experience influencing VP- and Director-level stakeholders
• Ownership mindset with accountability for system outcomes, reliability, and scalability
• Passion for solving complex, ambiguous problems with scalable and forward-thinking solutions
• Experience introducing modern engineering practices, frameworks, and process improvements
• Commitment to building a culture of technical excellence, innovation, and continuous learning
Preferred:
• Prior experience with financial technology (FinTech) or large-scale data processing systems
Company:
SS&C is a leading global provider of mission-critical, cloud-based software and solutions for the financial and healthcare industries. Founded in 1986, the company is headquartered in Windsor, USA, with a team of 10001+ employees. The company is currently Late Stage.

What SS&C Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

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About SS&C Technologies

Sourced by ZipRecruiter

SS&C Technologies is a prominent player in the software and IT services industry, specializing in investment and financial technologies. The company is headquartered in Windsor, Connecticut, USA, with the core mission to deliver advanced technology-driven solutions and software for the global financial services industry. SS&C Technologies was established in 1986, and since its inception, the company has grown immensely to offer a comprehensive portfolio of services that include fund administration, securities industry software, insurance and pension funds software, asset management, and trading and settlement services.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Windsor, CT, US

Year founded

1986