Senior Machine Learning Engineer

Vilnius, Lithuania (Remote)

Salary: 5500 - 6400 EUR/month gross (before tax) based on your skills and experience.

Location: Lithuania (remote)

Schedule: 1 FTE (40 hours/week)

We are Baltic Assist, an outsourcing company, specializing in innovative remote career solutions. We provide exciting opportunities on a global level fostering long-term cooperation between top talent and our partners. By cultivating a desirable environment, our people are empowered to excel and engage with a community of diverse professionals. With a commitment to efficiency and innovation, Baltic Assist aims to be the go-to choice for seeking rewarding careers.

What you'll be doing

We’re now looking for a skilled Machine Learning Engineer to join an innovative environmental technology organisation leveraging AI and data to optimise industrial processes and sustainability efforts. Our client is more than just a start-up - they are revolutionising waste management with innovative AI technology. Here, you’re not just taking on a job, but a mission: to make the world more sustainable – with cutting-edge technology and a team that lives its vision. 

As a Senior Machine Learning Engineer, you will drive the development and implementation of advanced AI solutions, with a particular focus on computer vision, time series analysis, and robotics-related applications. You will design innovative models for processing image and time-dependent data, lead complex projects from concept development to production deployment, and set new standards in the application of state-of-the-art AI technologies.

How you'll spend your day

  • Design and implement robust ML/CV models (e.g., object detection, image segmentation) as well as time series models (e.g., forecasting, anomaly detection) – particularly for our client's automated crane systems in bunker operations.
  • Develop scalable algorithms for control and decision support in mechatronic or robotic systems.
  • Utilise the latest technologies from deep learning, reinforcement learning, or LLMs to solve complex, real-world challenges.
  • Mentor junior engineers, conduct code reviews, and promote best practices.
  • Implement, monitor, and continuously optimise production-grade AI models in real industrial environments.

You'll be successful if you have  

  •  4+ years of hands-on experience in Machine Learning and applied Data Science. 
  • Strong grasp of probability, linear algebra, statistics, and data structures. 
  • Proven experience with time series analysis, signal processing, and predictive modelling. 
  • Expertise in Python, ML frameworks (TensorFlow, PyTorch, scikit-learn), and data pipeline orchestration (e.g. Airflow, MLflow). 
  • Practical knowledge of DBMS, data engineering concepts, and software development life cycle. 
  • Strong communication skills with the ability to translate complex findings into business insights. 
  • Degree in Computer Science, Mathematics, or a related field (Master’s preferred).

What we offer

  • Flexible work options, including a hybrid work model, to help you thrive in your career while maintaining a work-life balance.
  • The opportunity to significantly shape the future of our client AI products in a highly innovative industrial sector.
  • An agile, dynamic environment with flat hierarchies and plenty of creative freedom.
  • An interdisciplinary team of hardware and software developers from various fields (Computer Vision, Machine Learning, Data Science, and Product Management).
  • Private health insurance after 1 year of employment and one fully paid “sick day” per quarter after trial to support you in emergency situations.
  • The opportunity to work from abroad after a trial.
  • An environment that fosters innovation, creativity, and sustainable development.
  • Company-wide events and monthly team-building activities to foster collaboration and connection.
  • A modern office space located in one of Vilnius' top business centres, with a shared car parking system.
  • Special gifts for key occasions and milestones.


At Baltic Assist, we believe that the strength of our team lies in the diversity of our backgrounds and perspectives. We are fully committed to promoting equal opportunities at every stage of our recruitment and selection processes. Recruitment at Baltic Assist is based solely on individual merit, qualifications, and professional competence. Our shortlisting, interviewing, and selection practices are conducted without discrimination on the grounds of gender identity or expression, sexual orientation, marital or civil partnership status, race, nationality, ethnic origin, religion or beliefs, age, veteran status, disability, medical condition, pregnancy or parental status, trade union membership, or any other protected characteristics.

By applying to this position, candidates acknowledge and consent that any information provided during the application process or available on the communication channels through which they were contacted (e.g., LinkedIn, email, or other professional platforms) may be collected, stored, and processed by Baltic Assist solely for recruitment purposes.

Baltic Assist is committed to protecting your personal data in compliance with the General Data Protection Regulation (GDPR). All information collected during the recruitment process will be handled securely and used exclusively for recruitment purposes. Your data will not be shared with unauthorized parties, and it will be retained only as long as necessary for the recruitment process or as required by applicable laws. By applying, you consent to the processing of your personal data in accordance with our privacy policy and GDPR guidelines.

Senior Machine Learning Engineer

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Senior Machine Learning Engineer

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