Machine Learning Engineer

Gdańsk, pomorskie
15,23 EUR za godzinę
Tymczasowa
Pełny etat

8 dni temu

We're hiring on behalf of one of London's most innovative SaaS scale-ups - a company that has been integrating AI and machine learning into its core products for over a decade. Long before AI became a buzzword, they were delivering advanced analytics and automation solutions to some of the world's largest enterprises, including several FAANG companies.Our client builds cutting-edge predictive analytics and integrative AI platforms that support complex decision-making for global leaders across sectors. They remain at the forefront of technology, constantly adopting the latest advancements in data science, LLMs, and cloud infrastructure.As an ML Engineer, you'll become part of a collaborative team working on real-world AI and machine learning applications. You'll help design and improve data pipelines and infrastructure used in production environments, with a strong focus on preparing data for LLMs, NLP, and other advanced ML use cases.You'll work alongside experienced engineers and data scientists, giving you the chance to grow technically while contributing to impactful projects. This is a great opportunity to develop your skills in data engineering, cloud services, and operationalizing ML models - all while supporting AI solutions used by global industry leaders.Machine Learning Engineer Nr ref.: 397/5/2025/PM/262579/jobs.pl Gdańsk (pomorskie)What we offer

Innovative Work - Engage in cutting-edge AI, ML, and LLM projects with real-world impact
Modern Tech Environment - Work with the latest tools and technologies in a fast-evolving landscape
Expert Team - Collaborate with top specialists in a culture that values knowledge-sharing and experimentation
Supportive Culture - Join a team-oriented environment where your input truly matters
Growth & Development - Access continuous learning and career advancement in a growing organisation
Meaningful Impact - Help shape next-gen AI solutions used by global industry leaders

Your tasks

Support the development and maintenance of scalable data pipelines using Python, SQL, and modern ETL tools
Clean, transform, and structure datasets to prepare them for machine learning and AI applications
Collaborate with Data Scientists on model training, evaluation, and deployment, including LLM-related use cases
Contribute to the creation and optimization of data models (e.g.,dimensional/star schemas) and data warehouse structures
Assist with monitoring model performance, data quality, and infrastructure health in production environments
Document key technical processes and workflows related to data and ML pipelines

What we expect

1-2 years of hands-on experience in a data-related role (e.g., data engineer, ML ops/engineer)
Practical experience with Python and SQL for data analysis or transformation tasks
Experience with ETL/ELT processes and tools such as Spark (PySpark), dbt, or Airflow
Familiarity with machine learning workflows and libraries like scikit-learn, TensorFlow or PyTorch
Interest or early experience in NLP or Large Language Models (LLMs) and how to prepare data for them
Understanding of data modeling concepts and working with relational or columnar databases
Strong communication skills and the ability to work cross-functionally with data teams
Excellent English written and spoken skills (B2/C1)

Employment agency entry number 47this job offer is intended for people over 18 years of age

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