scikit-learn Jobs in Sofia.
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About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Role
We’re seeking Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.
The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.
Role Responsibilities
- Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure
- Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability
- Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases
- Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate
- Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team
Our Technology
You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology
Key Competencies
Essential
- Minimum 3 years professional software development experience, primarily using Python
- Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science
- Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
- Proficient on Linux platforms and strong understanding of Git
- Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB
- Demonstrated experience working with large data sets, both structured and unstructured
- Ability to work independently and gather requirements from stakeholders
Nice to Have
- Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
- Familiarity with distributed systems and orchestration
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Contributions to open-source projects
- Experience working with Large Language Models (LLMs)
- Experience mentoring junior team members and managing projects
Why Man Group?
- Work on challenging problems at the cutting edge of technology and finance
- Collaborate with world-class engineers, researchers, and investment professionals
- Receive on-the-job training to develop and succeed at the firm
- Entrepreneurial, innovation-driven culture
- Small, agile teams with high autonomy
- Opportunity to make a real impact on investment strategies managing billions in assets
Benefits
- Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities
- Hybrid working model
- Generous parental leave
- Opportunities for professional development including internal tech talks and external conference attendance
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
About Man Group
Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent.
Headquartered in London, we manage $227.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at www.man.com
* As at 31 December 2025
The Role
We’re seeking Senior Python Engineers to join various teams across our technology organisation, working on diverse challenges spanning systematic trading, quantitative research, a petabyte-scale data platform, and AI solutions.
The role offers the opportunity to collaborate with and learn alongside highly skilled engineers whilst developing core technical and financial services knowledge. You will work with cutting-edge technologies and systems that power critical areas of Man Group’s business.
Role Responsibilities
- Design and maintain scalable backend systems and APIs that support quantitative research and trading infrastructure
- Develop distributed compute applications, optmise performance, and implement monitoring and observability tooling to ensure system reliability
- Build high-performance data pipelines for processing large-scale financial datasets using timeseries, SQL, and NoSQL databases
- Partner with engineers, researchers, and platform teams to translate complex requirements into technical solutions that integrate with Man Group’s technology estate
- Participate in production support rotations and contribute to architecture decisions, code reviews, and engineering best practices across the team
Our Technology
You’ll work in a modern, Linux-based infrastructure where Python is the primary development language, utilising the full scientific stack including pandas, numpy, scipy, and scikit-learn. A key component of our data infrastructure is ArcticDB (https://arcticdb.io/), our internally developed DataFrame database that you’ll use extensively. We maintain a dynamic technology landscape, continuously evaluating and adopting new tools and libraries that enhance our capabilities. man.com/technology
Key Competencies
Essential
- Minimum 3 years professional software development experience, primarily using Python
- Strong academic record with coursework focused on mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Science
- Experience developing mission-critical production systems, with knowledge of best practices for testing, monitoring, and deployment
- Proficient on Linux platforms and strong understanding of Git
- Strong knowledge of one or more relevant database technologies e.g. MS SQL, Postgres, or MongoDB
- Demonstrated experience working with large data sets, both structured and unstructured
- Ability to work independently and gather requirements from stakeholders
Nice to Have
- Deep understanding of the Python scientific stack (pandas, numpy, scipy, scikit-learn)
- Familiarity with distributed systems and orchestration
- Knowledge of modern data engineering practices including data pipeline & ETL tools, distributed storage & processing and data warehousing
- Contributions to open-source projects
- Experience working with Large Language Models (LLMs)
- Experience mentoring junior team members and managing projects
Why Man Group?
- Work on challenging problems at the cutting edge of technology and finance
- Collaborate with world-class engineers, researchers, and investment professionals
- Receive on-the-job training to develop and succeed at the firm
- Entrepreneurial, innovation-driven culture
- Small, agile teams with high autonomy
- Opportunity to make a real impact on investment strategies managing billions in assets
Benefits
- Modern office located in the OfficeX campus with free parking, easy transport access and onsite amenities
- Hybrid working model
- Generous parental leave
- Opportunities for professional development including internal tech talks and external conference attendance
Inclusion, Work-Life Balance and Benefits at Man Group
You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at www.man.com/diversity.
You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering.
Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance.
Equal Employment Opportunity Policy
Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws.
Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact TalentAcquisition@man.com.
Ready to apply?
Apply to Man Group
Why us?
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
- Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
- Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
- Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
- Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
- Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
- 4+ years of relevant experience
- Experience building and using machine learning models with clear and measurable business impact
- Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
- Comfortable working in production-oriented codebases, including using Git for version control
- An interactive and collaborative approach to delivering ML-powered data products
- Quick learning ability and a drive well-suited to a fast-paced startup environment
- Experience clarifying ambiguous business problems and translating them into effective ML solutions
- Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
- Strong quantitative and programming skills paired with a product-driven sensibility
- Graduate degree in a technical or quantitative discipline
- Fluent in spoken and written English and Bulgarian
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify
Why us?
Insurify is one of America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022, and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
- Design, train, and iterate on ML models and algorithms that personalize the ranking of results within the product
- Identify opportunities for applying machine learning, propose experiments, and build models to improve customer conversion and engagement
- Take ownership of ML solutions end-to-end, from problem formulation and data exploration to model validation and iteration
- Collaborate with engineers and stakeholders using modern development practices such as version control (Git), code reviews, and reproducible experimentation
- Partner closely with the Marketing team to develop and improve machine-learning–driven bidding and targeting methodologies
- 4+ years of relevant experience
- Experience building and using machine learning models with clear and measurable business impact
- Strong skills and hands-on experience in Python (numpy, pandas, sklearn, etc.) and SQL
- Comfortable working in production-oriented codebases, including using Git for version control
- An interactive and collaborative approach to delivering ML-powered data products
- Quick learning ability and a drive well-suited to a fast-paced startup environment
- Experience clarifying ambiguous business problems and translating them into effective ML solutions
- Curiosity about data, distributions, and outliers, with a strong interest in using data to propose and validate causes and effects
- Strong quantitative and programming skills paired with a product-driven sensibility
- Graduate degree in a technical or quantitative discipline
- Fluent in spoken and written English and Bulgarian
Benefits
- Employee stock options
- 25 days annual leave
- Enhanced private medical, dental, and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Employee Assistance Program and other wellbeing perks
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify
Why us?
Insurify is one of the America’s fastest-growing MIT FinTech startups and has been recognized as one of Inc. 5,000’s fastest-growing private companies in America in 2025, 2024, 2023, 2022 and 2021, Forbes Fintech 50 List for 2023, 2022, and 2021, Forbes Next Billion Dollar Startups of 2022 global and Top 100 InsurTech company. We’re changing the way millions of people compare, buy and manage insurance with artificial intelligence, technology, and superior product design.
Our company vision is to be recognized as the preeminent and most trusted digital agent for insurance comparison, purchase, and management. Our team is critical to achieving our vision and fostering the right culture is essential to our team’s success.
How you will make an impact
- Partner closely with the Marketing team to assist in the development of more sophisticated bidding and targeting methodologies across Paid Search, Retargeting, and Email campaigns
- Develop models and algorithms to personalise the ranking of results in the product
- Identify opportunities, propose experiments and develop models to improve customer conversions
What you need to succeed
- 4+ years of relevant experience
- Experience with building and using machine learning models with clear business impact
- Strong skills and experience in Python (numpy, pandas, sklearn, etc) and SQL
- Quick learning ability and a drive suitable for the startup hustle
- As an early member of a small team, emphasise on interactive approach to delivering data products
- Experience with clarifying a business problem, identify and implement good solution
- Curiosity about data, outliers, using data to propose and confirm causes and effects
- Strong quantitative and programming skills with a product-driven sensibility
- Graduate Degree in technical/quantitative disciplines
- Fluent spoken and written use of English language
Benefits
- 25 days annual leave
- Enhanced private medical, dental and vision insurance plans
- Yearly wellbeing budget or Multisport card
- Personal budget for learning and books
- Office kitchen and fun area with snacks and beverages
- Regular social events
- Friendly office culture
- Hybrid office
Ready to apply?
Apply to Insurify