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Machine Learning Expert / Data Engineer

Machine Learning Expert / Data Engineer

Randstad PolskaGdańsk, Polska
30+ days ago
Job description

We’re hiring on behalf of one of London’s leading SaaS scale-ups — a company at the forefront of AI, data analytics, and next-generation technology. This is an opportunity to join an organisation that has embedded AI and machine learning into its core products for over a decade, long before it became a trend.

Our client is a trusted Enterprise SaaS provider, empowering some of the world’s largest corporations — including several FAANG companies — through cutting-edge predictive analytics and integrative AI solutions. They continuously explore and adopt the latest innovations to stay ahead in a fast-evolving tech landscape.

As a Senior / Expert ML or Data Engineer, you’ll play a key role in shaping the future of AI-driven products — designing and maintaining advanced data infrastructure and ML pipelines, including solutions based on Large Language Models (LLMs). This role combines deep data engineering skills, solid ML knowledge, and a strategic mindset, with opportunities to lead projects, mentor others, and drive innovation.

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

  • Design, build, and maintain scalable data pipelines using Spark, Python, and ETL tools to support advanced analytics and machine learning models, including LLMs
  • Develop and maintain data warehouses and models that ensure data quality, consistency, and performance, tailored to AI-driven use cases
  • Collaborate with Data Scientists to develop, test, and deploy machine learning solutions, including LLM integration and productionization
  • Engineer robust data infrastructure for handling large, complex datasets, including unstructured and semi-structured data essential for AI training and deployment
  • Evaluate and experiment with new ML models, frameworks, and LLMs to assess applicability in business products
  • Troubleshoot data and infrastructure issues, resolve performance bottlenecks, and implement optimization strategies, especially for large-scale AI deployments
  • Define and promote best practices in data modeling, pipeline architecture, and ML workflow design, with a focus on advanced AI integration
  • Maintain clear technical documentation for data workflows, models, and ML processes, including LLM-related implementations
  • Work closely with analysts, scientists, and engineering teams to gather requirements and deliver impactful data solutions
  • Stay current with emerging trends in data engineering, ML, and generative AI, and help mentor junior team members
  • what we expect

  • 5+ years of hands-on experience in designing, building, and maintaining complex data pipelines and data warehouse solutions in production environments
  • Expert-level proficiency in Spark (PySpark and / or Scala), Python, SQL, and modern ETL / ELT frameworks
  • Deep knowledge of data modeling (e.g. star schema, dimensional models) and data warehousing principles
  • Strong understanding of data governance, data quality, and data security best practices, including ethical considerations in AI / LLM contexts
  • Proven experience in large-scale data integration, transformation, and cleansing, including ML / LLM-ready data preparation
  • Familiarity with data profiling and lineage tools
  • Demonstrated ability to identify and resolve data issues and performance bottlenecks, especially in AI-related workflows
  • Analytical mindset with the ability to turn complex data into scalable, actionable technical solutions—particularly for ML / LLM performance
  • Excellent communication skills, both technical and business-oriented, including articulating AI model limitations and implications
  • Strong collaboration skills, especially in cross-functional teams implementing new AI / LLM technologies
  • Self-driven and adaptive, with a demonstrated passion for learning and applying new technologies in the AI / LLM space
  • High attention to detail to ensure data accuracy and integrity critical to AI outcomes
  • Proven ability to produce clear technical documentation, including for ML / LLM development and deployment processes
  • Technical requirements

  • Python (expert) + Java / Scala; familiar with NLP & LLM libraries
  • SQL (advanced) – complex queries, AI / ML workflows
  • Data Modeling – scalable models for large AI datasets
  • ETL / ELT – modern frameworks for ML data pipelines
  • Big Data – Spark & tools for large-scale processing
  • Cloud – experience with AWS or GCP or Azure, incl. ML / LLM services
  • Employment agency entry number 47

    this job offer is intended for people over 18 years of age

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    Machine Learning Engineer • Gdańsk, Polska

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