# Senior ML Engineer

> Accepted ltd · Athens, Greece (Hybrid) · Full-time · Posted 2026-03-17

**Workplace:** hybrid

## Description

**Working model:** Hybrid | **Type:** Full-time

Accepted is a software and digital transformation services firm helping clients accelerate innovation in **Finance, Energy, Gaming, Telco, and beyond**. With **20+ years** of engineering excellence, we’re known for building outcome-driven solutions and high-performing teams that feel like part of your own.

We’re looking for a **Senior ML Engineer** to strengthen our hybrid delivery teams.

### What You’ll Do

-   Design, develop and deploy machine learning solutions for document-intensive environments, focusing on intelligent document processing, automation and information extraction;
-   Develop and optimize NLP and LLM-based applications for document understanding, including classification, entity recognition, semantic search and retrieval;
-   Build and maintain end-to-end ML pipelines, including data preprocessing, training, evaluation, deployment and monitoring;
-   Work on document ingestion and processing workflows (PDFs, scanned documents, unstructured data) and enable metadata extraction and indexing;
-   Implement and optimize RAG pipelines and LLM integrations for enterprise knowledge systems;
-   Collaborate with product, engineering and business teams to translate document management and operational needs into scalable ML solutions;
-   Contribute to the design and evolution of internal AI platforms and automation pipelines;
-   Ensure performance, scalability and reliability of ML systems in production environments;
-   Support experimentation, model tuning and continuous improvement of ML solutions.

## Requirements

### What You’ll Bring

-   3–8 years of experience in Machine Learning / AI engineering roles, ideally in document-heavy or enterprise environments;
-   Strong experience in:

-   NLP and document understanding;
-   LLMs and prompt engineering;
-   Information extraction, classification and semantic search.

-   Hands-on experience with **Python and ML frameworks** (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face);
-   Experience with **document processing technologies** (OCR, intelligent document processing, metadata extraction);
-   Experience building and deploying ML pipelines (MLOps, APIs, Docker, cloud environments such as AWS/Azure/GCP);
-   Familiarity with vector databases, embeddings and retrieval systems;
-   Understanding of data engineering concepts (ETL pipelines, data preprocessing, large-scale text processing);
-   Ability to design scalable solutions for high-volume document workflows and enterprise platforms;
-   Bachelor’s or Master’s degree from a reputable university in Computer Science, Machine Learning, Data Science or a related field.

## Benefits

### Why Accepted

-   Competitive compensation aligned with your experience and skills;
-   Annual bonus scheme linked to company performance;
-   Private medical, dental, and life insurance coverage;
-   Ongoing professional development through training and certifications;
-   Structured mentoring to support your growth and advancement.

### Your Next Step

Apply today and grow with a company where innovation, trust, and excellence come together. All applications are confidential. We are proud to be an Equal Opportunity Employer.

## Apply

[Apply at Accepted ltd](https://apply.workable.com/accepted-ltd/j/61DB2BE4E2/apply)

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