Job title: Senior Machine Learning Engineer

Job type: Permanent

Salary: €60,000 – €65,000 base salary

Role Location: Hybrid – Athens, Greece (2 days per week in the office)

The company:

Our client is an established consumer technology business with a subscription and rewards-driven platform used by a large, active customer base. 

As the company continues to invest heavily in artificial intelligence, they're looking for a Senior Machine Learning Engineer to lead the development of production-grade AI solutions, helping shape the next generation of intelligent products and internal AI capabilities.

Role and responsibilities:

• Design, develop, and deploy advanced AI and machine learning solutions that support strategic business objectives.
• Lead the research, development, and optimisation of machine learning models for production environments.
• Build, fine-tune, and evaluate Large Language Models (LLMs) and modern AI applications using tools such as LangChain and Hugging Face.
• Develop solutions using Python alongside deep learning, machine learning, and natural language processing frameworks.
• Collaborate with software engineering, data, and product teams to identify opportunities for AI-driven innovation.
• Research and evaluate emerging AI technologies, ensuring the business remains at the forefront of industry developments.
• Monitor, maintain, and optimise model performance to ensure reliability and scalability in production.
• Translate business challenges into practical AI solutions, balancing speed of delivery with technical excellence.
• Mentor junior engineers and provide technical leadership across AI and machine learning initiatives.
• Champion best practices for model development, experimentation, deployment, and ongoing optimisation.

Job requirements:

• Proven experience designing, building, and deploying production-grade machine learning solutions.
• Strong Python development skills.
• Hands-on experience with Large Language Models (LLMs), LangChain, and Hugging Face Transformers.
• Experience with deep learning frameworks such as PyTorch.
• Strong knowledge of machine learning libraries including Scikit-learn and XGBoost.
• Experience working with NLP frameworks such as spaCy and NLTK.
• Strong understanding of the end-to-end machine learning lifecycle, including model training, validation, deployment, and monitoring.
• Experience collaborating across engineering, product, and business teams to deliver AI-driven solutions.
• Passion for staying current with emerging AI technologies and applying them to real-world business challenges.
• Strong communication skills with the ability to explain complex technical concepts to a range of stakeholders.
• Experience mentoring junior engineers or leading technical initiatives.
• A pragmatic mindset, balancing high-quality engineering with delivering business value quickly.

Accessibility Statement:

We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process.

Our Commitment to Diversity, Equity, and Inclusion:

Signify’s mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time.

Check out our DE&I page here.