Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Experian. Sofia · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Develop analytical products from data analysis and predictive models through proof-of-concept work and production code
- Build ML workflows that ingest and transform data, train and test models, and deliver dependable applications
- Automate analytical procedures and improve processes to reduce effort and get work to market faster
- Review code, document technical work and follow the required engineering standards
- Turn partner, client and project needs into technical solutions while helping set priorities
What you bring
- At least one year of software development work and the ability to produce production code in Python, C++ or another general-purpose language
- Experience handling large datasets, REST APIs and backend or data-processing systems
- Knowledge of cloud platforms and some familiarity with Docker, Kubernetes or similar infrastructure tools
- English skills for understanding services, joining technical conversations and working with clients and stakeholders
- Exposure to machine learning, NLP and unstructured data, plus a degree in a related technical subject
Who this fits
This mid-level position suits you if you want to combine software development, data analysis and machine learning engineering. The role is based in Sofia and uses a hybrid office and remote arrangement. You’ll report to a technical lead and collaborate with data scientists, product managers, clients and project teams.
From the employer
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.
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.
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.
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
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