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Careers

   

Join our fast-growing startup in machine learning & data science.

Work with us in one of today’s most exciting technological areas.

Why it's worth to join Numlabs?

   

Numlabs is a small software house created by a dozen people specialised in machine learning solutions, particularly computer vision and data analytics. Our clients are mainly startups and SMEs developing innovative products, but without AI competencies. We work mainly on completely new projects and it is up to us to commit first.

Our portfolio includes, for example, a system supporting the planning of drilling on oil rigs, models detecting skin lesions suspicious for cancerous features, or a vision system for measuring conversion for retail industry.

Behind the scenes all our team members share similar sport passions, making us ambitious and dedicated to the goal. It also induces a lot of creativity useful in solving business problems.

CURRENT VACANCIES

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Machine Learning Engineer with Computer Vision

Who are we looking for?

  

As a Mid Machine Learning Engineer, you will design, build, and maintain data pipelines to support AI/ML models, ensuring data quality and scalability. You’ll develop and implement AI architectures in cloud environments such as AWS, Azure, or GCP, working closely with cloud engineers for seamless integration and deployment. Your role includes deploying and fine-tuning large language models (LLMs) for various business applications, while ensuring they are scalable, efficient, and secure. You will integrate ethical considerations into AI development, promoting responsible AI practices across all projects. Additionally, you’ll collaborate with stakeholders to understand business needs, translate them into technical requirements, and provide clear updates on project progress.


Formal requirements

  
  • arrow_forward Experience in working with Computer Vision is a mandatory requirement.
  • arrow_forward Advanced Python knowledge for data processing and scripting.
  • arrow_forward Proficiency in SQL data stores and appropriate use cases.
  • arrow_forward Strong problem-solving skills and attention to detail.
  • arrow_forward Communicative Polish language.
  • arrow_forward Fluent English.
  • arrow_forward 2 years of relevant experience

Good to have

  
  • arrow_forward Experience with Infrastructure as Code
  • arrow_forward Excellent communication skills with the ability to engage stakeholders and gather requirements.
  • arrow_forward Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, familiarity with containerization tools such as Docker and Kubernetes.
  • arrow_forward Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  • arrow_forward Hands-on experience with one or more cloud computing platforms (Azure, AWS, GCP).
  • arrow_forward In-depth knowledge of AI ethics, bias mitigation, and responsible AI practices.

What do we offer?

  
  • arrow_forward Competitive salary: 10.000 - 15.000 PLN net on a B2B contract.
  • arrow_forward Annual budget for courses and training.
  • arrow_forward Flexible work environment - 100% remote or hybrid from our office in Kraków.
  • arrow_forward Multisport card.
  • arrow_forward Strong substantive and practical support – we are committed to continuous learning.
  • arrow_forward Work in the fast-growing AI, ML, and Data Science industry.


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.



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Machine Learning Engineer with LLM

Who are we looking for?

  

As a Mid Machine Learning Engineer, you will design, build, and maintain data pipelines to support AI/ML models, ensuring data quality and scalability. You’ll develop and implement AI architectures in cloud environments such as AWS, Azure, or GCP, working closely with cloud engineers for seamless integration and deployment. Your role includes deploying and fine-tuning large language models (LLMs) for various business applications, while ensuring they are scalable, efficient, and secure. You will integrate ethical considerations into AI development, promoting responsible AI practices across all projects. Additionally, you’ll collaborate with stakeholders to understand business needs, translate them into technical requirements, and provide clear updates on project progress. Your Responsibilities: Building data acquisition and processing pipelines supporting AI/ML models, with emphasis on quality and scalability. Developing machine learning models in cloud environments, such as AWS or GCP. Fine-tuning and optimizing large language models (LLMs) for various business applications. Collaborating with cloud engineering teams to integrate and deploy models. Monitoring performance and optimizing deployed AI/ML solutions. Regularly reporting project progress and results to the team and stakeholders. Maintaining the highest ethical standards and promoting responsible AI development practices.


Formal requirements

  
  • arrow_forward Commercial experience working with Large Language Models (LLMs) – mandatory.
  • arrow_forward Minimum of 3 years of experience in the industry.
  • arrow_forward Advanced knowledge of Python for data processing and scripting.
  • arrow_forward Proficiency in managing and effectively utilizing SQL databases.
  • arrow_forward Strong problem-solving skills and attention to detail.
  • arrow_forward Fluent in English.
  • arrow_forward Communicative Polish language skills.

Good to have

  
  • arrow_forward Experience with Infrastructure as Code (IaC).
  • arrow_forward Bachelor's or Master's degree in computer science, data science, or a related field.
  • arrow_forward Excellent communication skills, ability to engage stakeholders and gather requirements.
  • arrow_forward Experience with the concept of "Data as Code," including version control, small and frequent changes, unit testing, CI/CD, packaging, and familiarity with containerization tools such as Docker and Kubernetes.
  • arrow_forward Experience designing and implementing AI architectures in cloud environments (AWS, Azure, GCP).

What do we offer?

  
  • arrow_forward Competitive salary: PLN 11,000 - 16,000 net per month (B2B contract).
  • arrow_forward Annual budget for courses and training.
  • arrow_forward Flexible work environment – 100% remote or hybrid from our office in Kraków.
  • arrow_forward Multisport card.
  • arrow_forward Strong practical and substantive support – we are committed to continuous learning.
  • arrow_forward Opportunity to work in a rapidly growing industry focused on AI, ML, and Data Science.


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.



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Data Scientist

Who are we looking for?

  

We are looking for an experienced Data Scientist specialized in predictive analytics and data modeling to join our team and support a project for a client from the construction industry. Your role will involve developing and implementing predictive models within an e-commerce environment. You will be responsible for creating, testing, and deploying statistical and machine learning models to support business decisions and improve customer conversion and retention. Responsibilities: Developing and deploying predictive models for e-commerce applications (e.g., product recommendations, demand forecasting, customer segmentation). Designing and implementing data models to support business analysis. Analyzing large datasets to identify patterns and trends. Conducting A/B tests and evaluating their results. Building tools to facilitate data analysis and visualization. Collaborating closely with business teams and data engineers to effectively implement solutions. Documenting created solutions and monitoring their performance.


Formal requirements

  
  • arrow_forward Minimum 4 years of experience as a Data Scientist, focusing on predictive analytics and e-commerce.
  • arrow_forward Experience in data modeling and designing data structures to support business analyses.
  • arrow_forward Proficiency with statistical methods, machine learning algorithms, and data modeling techniques.
  • arrow_forward Advanced knowledge of Python and ML libraries such as scikit-learn, XGBoost, LightGBM, Pandas, and NumPy.
  • arrow_forward Experience working with large datasets and databases (e.g., PostgreSQL, BigQuery, Snowflake).
  • arrow_forward Familiarity with cloud platforms (GCP preferred).
  • arrow_forward Ability to design and deploy models in production environments.
  • arrow_forward Experience analyzing data using SQL.

Good to have

  
  • arrow_forward Experience with data visualization tools (e.g., Tableau, Power BI) and A/B testing.

What do we offer?

  
  • arrow_forward Location: Fully Remote
  • arrow_forward Contract Type: B2B
  • arrow_forward Salary: 100 - 180 PLN/hour
  • arrow_forward Long-term cooperation
  • arrow_forward Flexible working hours
  • arrow_forward Work on innovative projects in a dynamic environment


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.



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Data Analyst – Anti-Financial Crime / Banking

Who are we looking for?

  

We are looking for a Data Analyst experienced in financial transaction analysis and anti-financial crime. You will join a team working on a long-term project for an international client in the financial sector. Your tasks will include analyzing transaction data, creating reports, and supporting activities aimed at preventing financial crimes. Responsibilities: Analyzing financial data using SQL and Python, Processing and interpreting transaction data, Supporting the team in identifying suspicious financial activities, Creating and maintaining analytical documentation, Collaboration with international teams in English.


Formal requirements

  
  • arrow_forward Minimum 2 years of experience as a Data Analyst or similar role
  • arrow_forward Bachelor’s degree (or higher) in data analysis or a related field
  • arrow_forward Proficiency in SQL, Python, and Git
  • arrow_forward Understanding of basic and intermediate statistical concepts
  • arrow_forward Excellent command of English (both spoken and written)

Good to have

  
  • arrow_forward Experience in financial or anti-financial crime industry

What do we offer?

  
  • arrow_forward Rate: up to 100 PLN/h
  • arrow_forward Contract Type: B2B
  • arrow_forward Location: Fully remote
  • arrow_forward Long-term cooperation
  • arrow_forward Flexible working hours
  • arrow_forward Participation in an international financial sector project in a dynamic environment


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.



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Data Scientist – Anti-Financial Crime / Banking

Who are we looking for?

  

We are seeking a Data Scientist experienced in financial transaction analysis and anti-financial crime. Your role will involve developing and implementing analytical and machine learning models to detect and prevent financial crimes for an international client. Responsibilities: Creating, developing, and deploying machine learning models (classification, clustering) related to financial transactions, Analyzing large datasets using Python and Apache Spark, Collaborating with analysts and data engineers to implement solutions, Monitoring and optimizing models in a production environment, Preparing reports and analytical documentation in English.


Formal requirements

  
  • arrow_forward Minimum 2 years of experience as a Data Scientist or similar role
  • arrow_forward Bachelor’s degree (or higher) in Data Science or a related field
  • arrow_forward Strong knowledge of machine learning algorithms (classification, clustering)
  • arrow_forward Practical experience with Python, Spark, and Git
  • arrow_forward Excellent command of English (both spoken and written)

Good to have

  
  • arrow_forward Experience in financial or anti-financial crime industry

What do we offer?

  
  • arrow_forward Rate: up to 100 PLN/h
  • arrow_forward Contract Type: B2B
  • arrow_forward Location: Fully remote
  • arrow_forward Long-term cooperation
  • arrow_forward Flexible working hours
  • arrow_forward Participation in an international project focused on combating financial crime


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.



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Machine Learning Engineer with GenAI Asset Creation Platform

Who are we looking for?

  

We're looking for a Mid/Senior Machine Learning Engineer with deep expertise in Generative AI to support our client in building AI-powered tools for large-scale ad asset generation. Project context: Client is developing a GenAI platform used by enterprise marketing teams to generate complete ads (not just text or images). The product connects directly to media accounts, uses brand assets, and applies brand guidelines automatically. Backed by a major international group with strong traction in Fortune 500 clients.


Formal requirements

  
  • arrow_forward Minimum 3 years of experience in Machine Learning, with strong hands-on coding skills (Python).
  • arrow_forward 1–2 years of experience with image generation models (e.g. Stable Diffusion, DALL·E, or custom diffusion models).
  • arrow_forward Practical experience with deep learning frameworks (PyTorch preferred).
  • arrow_forward Familiarity with Transformers, CLIP, and latent diffusion architectures.
  • arrow_forward Ability to fine-tune and deploy models for production use.
  • arrow_forward Experience working with cloud platforms (AWS or GCP).
  • arrow_forward Comfortable working with Docker, APIs, and MLOps best practices.
  • arrow_forward Strong product mindset – experience building tools used by non-technical end users is a plus.

Good to have

  

What do we offer?

  
  • arrow_forward Competitive salary: PLN 90 - 100 net per hour (B2B contract).
  • arrow_forward Annual budget for courses and training.
  • arrow_forward Flexible work environment – 100% remote or hybrid from our office in Kraków.
  • arrow_forward Multisport card.
  • arrow_forward Strong practical and substantive support – we are committed to continuous learning.
  • arrow_forward Opportunity to work in a rapidly growing industry focused on AI, ML, and Data Science.


Please keep in mind that by applying to this job, you agree to the conditions below: I hereby agree for processing of personal data by Numlabs sp. z o. o. of 30-201 Kraków, ul. Emaus 5 for current and future recruitment processes. Please, note that we will contact only selected candidates.