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Assistant Machine Learning Engineer

  1. Sofia
  2. Analytics
  3. Permanent
  4. Hybrid
  5. Full Time

What you will do:

  • Deliver toolbox development aligned with the defined roadmap, ensuring release of new features.
  • Provide bug fixing and ongoing support to maintain reliability and user satisfaction.
  • Improve toolbox functionality to meet evolving business and client needs.
  • Collaborate with data scientists to design and implement ML pipelines for data ingestion, transformation, and model training.
  • Help automate ML workflows and documenting processes for reproducibility and compliance.
  • Follow internal security, governance, and operational standards.
  • Maintain documentation for all processes and deployments.

You will report into the Product Manager.


About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.


Experience and Skills

What you will bring:

  • 2+ years of technical experience into the software development field.
  • Advanced Degree or equivalent in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics or other quantitative fields
  • Fluent English – written and spoken
  • Ability to write production-level code in Python
  • Knowledge of OOP principles, data structures, algorithms and design patterns
  • Back-end development skills, including work with REST APIs
  • Experience with CI/CD process development
  • Comfortable with cloud technologies (e.g. AWS, Azure, Google Cloud Platform) and virtual environment technologies (Docker and Kubernetes)
  • Flexible and adaptable to learn and understand new technologies
  • Good at spotting problems and quickly proposing solutions

Any of the following skills will be considered an advantage:

  • Knowledge and appreciation of Agile development methodologies and techniques
  • Basic knowledge of statistics and of measures used for evaluating performance of Machine Learning models, such as precision, recall, etc.
  • Comfortable with front-end-focused frameworks (e.g. Angular, React)

Additional Information

What you will get:

  • Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
  • Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
  • Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
  • Opportunity for flexible working hours and home office.
  • Personal Development - career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.

Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Hybrid

This is a hybrid remote/in-office role.

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