Praha 1, Hlavní město Praha, Czechia
Open 3 months, first seen by us 106 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: ContractFrom the employer’s posting
Design, implement, and maintain production ML and AI systems used at scale
Own end-to-end delivery of AI features, from data pipelines to inference and monitoring
Contribute to architecture decisions and mentor peers on ML quality
Identify and mitigate risks in AI systems, such as regressions, bias, and operational issues
Use and improve model lifecycle, monitoring, and evaluation frameworks
Design, implement, and maintain production ML and AI systems used at scale
Own end-to-end delivery of AI features from data pipelines and training workflows to inference and monitoring
Contribute to architectural decisions and technical standards and mentor peers to elevate ML quality
Identify and mitigate risks in AI systems, including performance regressions, bias, and operational issues
Use and improve model lifecycle management, monitoring, and evaluation frameworks
Bachelor’s degree in Computer Science or equivalent practical experience
Experience building and operating production ML systems
Strong proficiency in Python, TypeScript, or Java
Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP
Solid understanding of modern ML techniques, including deep learning and representation learning
Experience contributing to system design and technical decision-making
What We're Looking For: - Bachelor’s degree in Computer Science or equivalent practical experience - Minimum of 8 years of experience in software engineering with a focus on machine learning or AI systems
- Experience contributing to system design and technical decision-making - Bachelor’s degree in Computer Science or equivalent practical experience - Minimum of 8 years of experience in software engineering with a focus on machine learning or AI systems
Open 3 monthsWe first saw this posting 106 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 106
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past Versant’s usual: its jobs come down by about day 18.
From 4,442 similar postings that came down, and 75 of Versant’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience building and operating production ML systems - Strong proficiency in Python, TypeScript, or Java - Proven experience with LLMs, ranking or recommendation systems, search, or applied NLP
- Background in classical and modern NLP techniques such as tokenization, sequence labeling, language modeling, embeddings, text classification, and information extraction - Experience with training pipelines using frameworks such as TensorFlow or PyTorch - Experience building human-in-the-loop training or evaluation workflows
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Senior ML Engineer-AI Platform job there since June 2026. It came down after 6 days.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
StockStory, now part of CNBC under VERSANT, is building the next generation of AI-powered equity research for individual investors. This is a chance to build products that can shape how millions of consumers understand markets and make investing decisions.
We offer the best parts of a startup environment - small team, high ownership, fast execution, and room to experiment - with the backing and stability of VERSANT, an independent publicly traded media company.
As a Senior ML Engineer, you will work on both an existing AI product with real user impact and greenfield projects with significant room for exploration.
The work spans cutting-edge LLMs / ML, large-scale data systems, financial reasoning, and research tooling, with opportunities to apply ideas from functional programming and graph-based systems where they create real advantage.
You will be joining a team of exceptional engineers, analysts, and investors working at the intersection of AI and public markets. A particularly rare part of this role is the level of direct access to experienced market professionals, including former hedge fund managers and top-tier analysts, whose insights can directly inform how you think about modeling, signals, and product design. For an ambitious AI engineer, it is an unusual opportunity to work with cutting-edge technology and advanced data systems while learning firsthand how sophisticated investors analyze businesses and markets.
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We're looking for a highly capable Senior ML Engineer to join our team to build the next generation of AI-powered equity research.
What You’ll Do:
A genuine interest in investing, public markets, and fundamental business analysis is expected.
What We're Looking For:
As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.
VERSANT Media is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at VERSANT via-email, the Internet, or in any form and/or method without a valid written Statement of Work in place for this position from VERSANT's Talent Acquisition team will be deemed the sole property of VERSANT. No fee will be paid in the event the candidate is hired by VERSANT as a result of the referral or through other means.
VERSANT (Nasdaq: VSNT) is an industry-changing media and entertainment business and home to trusted brands that shape culture, inform audiences, and build lasting connections. It operates across four core markets: political news and opinion, business news and personal finance, golf, and sports and genre entertainment. These markets are served through a powerful portfolio of iconic and innovative brands, including CNBC, MS NOW, USA Network, Golf Channel, Oxygen, E!, SYFY, and Versant's sports division USA Sports, along with complementary digital assets including Fandango, Rotten Tomatoes, GolfNow and GolfPass.
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Praha 1, Hlavní město Praha, Czechia
Working pattern and location restrictions need checking in the full posting.
Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT Media employee at one of our locations prior to a hiring decision. VERSANT Media's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com.