Time since we first saw it
Day 13
Similar jobs usually come down between day 6 and day 69.
From 4,331 similar postings that came down. Coming down is not always a hire.
Machine Learning Engineer
Sofia, Bulgaria
Actively hiring, first seen by us 13 days ago- Pay
- Pay not listed
- Work setting
Working pattern needs review — work setting source
#LI-Hybrid This is a hybrid remote/in-office role. Experian Careers - Creating a better tomorrow together
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingYou will work with data scientists, product managers, and other teams to create analytical solutions.
From the employer’s posting
You will combine machine learning engineering, software development, data analysis, and automation. You will contribute to predictive model development. You will do ad-hoc analysis, write production-level code, support automated testing and deployment, and help improve analytical workflows to improve operational efficiency and speed time-to-market. You will work with data scientists, product managers, and other teams to create analytical solutions. What You'll Be Doing:
What you’ll bring
All qualificationsCore experience
- 1+ year technical experience in software development, with the ability to write production-level code in at least one general-purpose programming language, such as Python or C++.
- Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g.
- Knowledge of cloud and infrastructure technologies, such as Amazon Web Services, Azure or GCP, and exposure to Docker, Kubernetes, OpenShift or similar tools.
- Proficiency in English, with the ability to understand products and services, contribute to technical discussions and collaborate with stakeholders and clients.
Qualification wording
1+ year technical experience in software development, with the ability to write production-level code in at least one general-purpose programming language, such as Python or C++.
Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g. Hadoop, Spark, graph or time-series databases), exposure to front-end frameworks such as Angular or React
Knowledge of cloud and infrastructure technologies, such as Amazon Web Services, Azure or GCP, and exposure to Docker, Kubernetes, OpenShift or similar tools.
Proficiency in English, with the ability to understand products and services, contribute to technical discussions and collaborate with stakeholders and clients.
Posting record
Report an errorActively hiringFirst seen by us 13 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 22, 202613 days ago
- Recorded sightings
- 99
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring at a steady pace
- Takes jobs down quickly
- 32% of open jobs were reposted
See how this role fits your experience
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.
- C++
- Python
- Azure
- Docker
- GCP
- Hadoop
- Kubernetes
- Spark
- React
- AWS
Where the posting names them
What we're looking for: - 1+ year technical experience in software development, with the ability to write production-level code in at least one general-purpose programming language, such as Python or C++. - Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g. Hadoop, Spark, graph or time-series databases), exposure to front-end frameworks such as Angular or React
- Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g. Hadoop, Spark, graph or time-series databases), exposure to front-end frameworks such as Angular or React - Knowledge of cloud and infrastructure technologies, such as Amazon Web Services, Azure or GCP, and exposure to Docker, Kubernetes, OpenShift or similar tools. - Proficiency in English, with the ability to understand products and services, contribute to technical discussions and collaborate with stakeholders and clients.
- 1+ year technical experience in software development, with the ability to write production-level code in at least one general-purpose programming language, such as Python or C++. - Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g. Hadoop, Spark, graph or time-series databases), exposure to front-end frameworks such as Angular or React - Knowledge of cloud and infrastructure technologies, such as Amazon Web Services, Azure or GCP, and exposure to Docker, Kubernetes, OpenShift or similar tools.
Your next step
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Has Experian posted this job before?
Yes. We’ve followed 8 other Machine Learning Engineer jobs there since July 2026. 8 came down, usually after about 6 days.
Large employers often post one title for several teams, so these can be separate openings.
About the role
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.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
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.
Job description
Job Description
As a Machine Learning Engineer you will report to the Trusso Technical Lead and you will join our Analytics CoE in Sofia to help maintain analytical solutions for Experian clients. You will focus on data intelligence, automation of analytical procedures, and the delivery of analytical and machine learning solutions across cloud and on-premises environments.
You will combine machine learning engineering, software development, data analysis, and automation. You will contribute to predictive model development. You will do ad-hoc analysis, write production-level code, support automated testing and deployment, and help improve analytical workflows to improve operational efficiency and speed time-to-market.
You will work with data scientists, product managers, and other teams to create analytical solutions.
What You'll Be Doing:
- Develop analytical and machine learning solutions, including data analysis, predictive modelling, proof of concepts and production-ready code.
- Build and support machine learning pipelines, covering data ingestion, transformation, model training, testing and reliable delivery of analytical applications.
- Promote automation and process improvements, identifying opportunities to improve efficiency, reduce operational effort and increase speed-to-market.
- Contribute to software engineering best practices, including code reviews, technical documentation and compliance with Experian standards.
- Work with partners, clients and project teams to understand requirements, manage priorities and translate needs into analytical or technical solutions.
- Develop technical expertise, staying up to date with software development, analytics, data assets, tools and latest technologies through ongoing learning and application.
Qualifications
What we're looking for:
- 1+ year technical experience in software development, with the ability to write production-level code in at least one general-purpose programming language, such as Python or C++.
- Experience working with data and backend systems, including large datasets, REST APIs and modern data processing technologies (e.g. Hadoop, Spark, graph or time-series databases), exposure to front-end frameworks such as Angular or React
- Knowledge of cloud and infrastructure technologies, such as Amazon Web Services, Azure or GCP, and exposure to Docker, Kubernetes, OpenShift or similar tools.
- Proficiency in English, with the ability to understand products and services, contribute to technical discussions and collaborate with stakeholders and clients.
- Exposure to Machine Learning and NLP concepts, including working with unstructured data, and a relevant degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, Engineering or a related field.
Additional Information
What you will get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, dental coverage, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why.
Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address.
Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.
Experian Careers - Creating a better tomorrow together
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Sofia, Bulgaria
Experian Careers - Creating a better tomorrow together #LI-Hybrid This is a hybrid remote/in-office role. Experian Careers - Creating a better tomorrow together
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.