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Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!

Unisys

Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Senior AI/ML Engineer - Vilnius, Lithuania

Role Overview

As a Senior AI/ML Engineer at Unisys in Vilnius, you will play a pivotal role in developing and implementing cutting-edge AI and machine learning solutions. You will work closely with engineering teams, contributing to the creation of product features based on sophisticated AI/ML models. This role requires a proactive, solution-driven individual who can contribute to defining code and ML quality standards, ensuring consistent tracking and adherence. You will also be expected to stay abreast of emerging technologies, recommending and implementing best practices to enhance project effectiveness and strengthen overall AI/ML processes.

Day in the Life

A typical day for a Senior AI/ML Engineer at Unisys involves a variety of tasks centered around the design, development, and deployment of machine learning solutions. You might start by attending a team meeting to discuss ongoing projects and plan upcoming tasks. Following this, you could be involved in designing and implementing machine learning models, building and maintaining data pipelines, or evaluating model performance. Collaboration is key, so you will likely spend time working with other engineers and stakeholders to integrate AI/ML solutions into existing products and services. Additionally, you may dedicate time to researching and experimenting with new technologies to identify potential applications within Unisys.

Why Vilnius?

Vilnius, the capital of Lithuania, is a vibrant and rapidly growing tech hub in Eastern Europe. The city offers a high quality of life with a relatively low cost of living compared to other European capitals. Vilnius boasts a rich history, stunning architecture, and a thriving cultural scene. For tech professionals, Vilnius provides a supportive ecosystem with numerous startups, established tech companies, and a growing community of AI/ML experts. Additionally, Lithuania's strategic location provides easy access to other European markets, making it an ideal location for international collaboration and career growth.

Career Path

The Senior AI/ML Engineer role at Unisys offers a clear career path for ambitious and talented individuals. You can progress into roles such as a Lead AI/ML Engineer, where you will lead a team of engineers and oversee complex AI/ML projects. Alternatively, you can specialize in a particular area of AI/ML, such as natural language processing or computer vision, becoming a Principal AI/ML Scientist. Furthermore, there are opportunities to move into management roles, such as an AI/ML Engineering Manager, where you will be responsible for the overall strategy and execution of AI/ML initiatives within Unisys. Continuous learning and development are encouraged at Unisys, providing ample opportunities to enhance your skills and advance your career.

Salary & Benefits

The salary range for a Senior AI/ML Engineer in Vilnius typically falls between $38,000 and $65,000 USD annually, but is dependent on factors such as skills, competencies, and experience. Unisys offers a comprehensive benefits package designed to support the well-being of its employees. These benefits include:

  • Health insurance coverage, including private usage from day one
  • Attractive pension scheme
  • Various allowances
  • Employee assistance program for confidential mental health support
  • Bonus, referral, and recognition programs

Unisys Culture

Unisys prides itself on fostering a 'Winning Culture' where employees are encouraged to collaborate, innovate, and excel. The company places a strong emphasis on Corporate Social Responsibility and Inclusion, creating a diverse and supportive work environment. Unisys is committed to providing employees with the resources and opportunities they need to realize their full potential, including access to a company-owned learning platform. The hybrid work model promotes flexibility and work-life balance, while the camaraderie and collaboration with top talent from Lithuania and around the globe create a stimulating and rewarding work experience.

How to Apply

To apply for the Senior AI/ML Engineer position at Unisys in Vilnius, please visit the Unisys careers website and search for the job posting. Follow the online application process, submitting your resume and cover letter. Be sure to highlight your relevant experience, skills, and qualifications, and explain why you are a good fit for the role and the company.

FAQ

  1. What are the key skills required for this role?

    Key skills include proficiency in Python, experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch), experience with LLMs, knowledge of algorithms and data structures, and strong problem-solving and communication skills.

  2. What is the hybrid work model at Unisys?

    The hybrid work model allows employees to work onsite for 3 days a week and flexibly for 2 days a week.

  3. What kind of learning opportunities are available at Unisys?

    Unisys offers access to a company-owned learning platform with a wide range of courses and resources to support employee development.

  4. What is the company's commitment to inclusion?

    Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, race, gender, religion, or any other category protected by law.

  5. What is the salary range for this position?

    The salary range for this position is typically between $38,000 and $65,000 USD annually, dependent on skills and experience.

  6. What is the company's policy on mental health?

    Unisys is committed to support wellbeing and offers employees access to an Employee Assistance Program (EAP) for confidential mental health support.

  7. Is there opportunity to relocate?

    Relocation assistance is handled on a case-by-case basis. Please discuss it with the hiring manager.

  8. What career progression is available?

    Unisys is committed to the professional development of its staff and offer roles such as Lead AI/ML Engineer, Principal AI/ML Scientist or Engineering Manager.

  9. What are some of the projects that I could be working on?

    As a Senior AI/ML Engineer, you might contribute to projects such as natural language processing, computer vision, fraud detection, and predictive analytics.

  10. What type of equipment and hardware does the team use?

    As a Senior AI/ML Engineer, you may use cloud computing platforms (e.g., AWS, Azure, GCP), high-performance computing clusters and specialized hardware accelerators (e.g., GPUs, TPUs).

Locations

  • Vilnius, Lithuania

Salary

Estimated Salary Rangemedium confidence

41,800 - 71,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • Machine Learning Libraries (e.g., scikit-learn, TensorFlow, PyTorch)intermediate
  • LLM (Large Language Models)intermediate
  • Sparkintermediate
  • Distributed Computation Frameworksintermediate
  • Algorithm Designintermediate
  • Data Pipeline Developmentintermediate
  • Data Structuresintermediate
  • Software Engineeringintermediate
  • AI/ML Model Implementationintermediate
  • Code Quality Standardsintermediate
  • ML Quality Standardsintermediate
  • Emerging Technologies Evaluationintermediate
  • AI/ML Process Enhancementintermediate
  • Project Leadershipintermediate
  • Technical Communicationintermediate
  • Problem-Solvingintermediate
  • Mentoringintermediate
  • English Proficiency (Written and Verbal)intermediate

Required Qualifications

  • 4+ years of experience in software engineering/machine learning projects. (experience)
  • 2+ years of experience implementing LLM-based (or similar) solutions in production. (experience)
  • Proficiency in Python and its machine learning libraries. (experience)
  • Experience with Spark or other distributed computation frameworks. (experience)
  • Experience mentoring other Machine Learning team members. (experience)
  • Strong understanding of algorithms, data/ML pipelines, and data structures. (experience)
  • Ability to quickly grasp and apply new technologies. (experience)
  • Ability to work effectively both independently and as part of a team. (experience)
  • Excellent communication skills, both written and verbal, in English. (experience)
  • Experience in designing and leading discussions on key elements of new and existing AI/ML services. (experience)
  • Accountability for assigned projects or sub-projects. (experience)
  • Ability to connect AI/ML technology with business goals to solve real-life problems. (experience)

Responsibilities

  • Collaborate closely with Engineering teams and colleagues to build product features based on AI/ML models.
  • Act as a solution-driven contributor in the creation of features/solutions within the team.
  • Contribute to the definition of code and ML quality standards and ensure consistent tracking.
  • Recommend new/emerging technologies and best practices to enhance product/project effectiveness and strengthen overall AI/ML processes.
  • Stay up-to-date with advanced technologies, seeking opportunities for adaptation and application within Unisys.
  • Lead design discussions regarding key elements of new and existing AI/ML services.
  • Hold accountability for assigned projects or sub-projects.
  • Connect AI/ML technology with Unisys and clients’ business goals to solve real-life problems.
  • Design, develop, and deploy machine learning models and algorithms.
  • Build and maintain scalable data pipelines for model training and inference.
  • Evaluate model performance and identify areas for improvement.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.

Benefits

  • general: Opportunity to be part of a 'Winning Culture' and work on award-winning projects in a high-end technological setting.
  • general: Commitment to Corporate Social Responsibility and Inclusion standards.
  • general: Access to a company-owned learning platform to realize individual potential.
  • general: Wellbeing & Employee Assistance Program for confidential mental health support.
  • general: Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme, and various allowances.
  • general: Bonus/referral/incentive/recognition programs to feel appreciated at Unisys.
  • general: Extended health insurance coverage for private usage from day 1 (premium package).
  • general: Hybrid work model (3 days onsite / 2 days flexible) and great camaraderie, whilst working with Lithuanian and global top talent.
  • general: Free parking lots and a bike garage for storage.
  • general: Great team environment with learning and training opportunities.
  • general: Competitive salary and benefits package.
  • general: Opportunity to work with cutting-edge AI/ML technologies.

Target Your Resume for "Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!" , Unisys

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Unisys logo

Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!

Unisys

Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!

full-timePosted: Feb 17, 2026

Job Description

Senior AI/ML Engineer - Vilnius, Lithuania

Role Overview

As a Senior AI/ML Engineer at Unisys in Vilnius, you will play a pivotal role in developing and implementing cutting-edge AI and machine learning solutions. You will work closely with engineering teams, contributing to the creation of product features based on sophisticated AI/ML models. This role requires a proactive, solution-driven individual who can contribute to defining code and ML quality standards, ensuring consistent tracking and adherence. You will also be expected to stay abreast of emerging technologies, recommending and implementing best practices to enhance project effectiveness and strengthen overall AI/ML processes.

Day in the Life

A typical day for a Senior AI/ML Engineer at Unisys involves a variety of tasks centered around the design, development, and deployment of machine learning solutions. You might start by attending a team meeting to discuss ongoing projects and plan upcoming tasks. Following this, you could be involved in designing and implementing machine learning models, building and maintaining data pipelines, or evaluating model performance. Collaboration is key, so you will likely spend time working with other engineers and stakeholders to integrate AI/ML solutions into existing products and services. Additionally, you may dedicate time to researching and experimenting with new technologies to identify potential applications within Unisys.

Why Vilnius?

Vilnius, the capital of Lithuania, is a vibrant and rapidly growing tech hub in Eastern Europe. The city offers a high quality of life with a relatively low cost of living compared to other European capitals. Vilnius boasts a rich history, stunning architecture, and a thriving cultural scene. For tech professionals, Vilnius provides a supportive ecosystem with numerous startups, established tech companies, and a growing community of AI/ML experts. Additionally, Lithuania's strategic location provides easy access to other European markets, making it an ideal location for international collaboration and career growth.

Career Path

The Senior AI/ML Engineer role at Unisys offers a clear career path for ambitious and talented individuals. You can progress into roles such as a Lead AI/ML Engineer, where you will lead a team of engineers and oversee complex AI/ML projects. Alternatively, you can specialize in a particular area of AI/ML, such as natural language processing or computer vision, becoming a Principal AI/ML Scientist. Furthermore, there are opportunities to move into management roles, such as an AI/ML Engineering Manager, where you will be responsible for the overall strategy and execution of AI/ML initiatives within Unisys. Continuous learning and development are encouraged at Unisys, providing ample opportunities to enhance your skills and advance your career.

Salary & Benefits

The salary range for a Senior AI/ML Engineer in Vilnius typically falls between $38,000 and $65,000 USD annually, but is dependent on factors such as skills, competencies, and experience. Unisys offers a comprehensive benefits package designed to support the well-being of its employees. These benefits include:

  • Health insurance coverage, including private usage from day one
  • Attractive pension scheme
  • Various allowances
  • Employee assistance program for confidential mental health support
  • Bonus, referral, and recognition programs

Unisys Culture

Unisys prides itself on fostering a 'Winning Culture' where employees are encouraged to collaborate, innovate, and excel. The company places a strong emphasis on Corporate Social Responsibility and Inclusion, creating a diverse and supportive work environment. Unisys is committed to providing employees with the resources and opportunities they need to realize their full potential, including access to a company-owned learning platform. The hybrid work model promotes flexibility and work-life balance, while the camaraderie and collaboration with top talent from Lithuania and around the globe create a stimulating and rewarding work experience.

How to Apply

To apply for the Senior AI/ML Engineer position at Unisys in Vilnius, please visit the Unisys careers website and search for the job posting. Follow the online application process, submitting your resume and cover letter. Be sure to highlight your relevant experience, skills, and qualifications, and explain why you are a good fit for the role and the company.

FAQ

  1. What are the key skills required for this role?

    Key skills include proficiency in Python, experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch), experience with LLMs, knowledge of algorithms and data structures, and strong problem-solving and communication skills.

  2. What is the hybrid work model at Unisys?

    The hybrid work model allows employees to work onsite for 3 days a week and flexibly for 2 days a week.

  3. What kind of learning opportunities are available at Unisys?

    Unisys offers access to a company-owned learning platform with a wide range of courses and resources to support employee development.

  4. What is the company's commitment to inclusion?

    Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, race, gender, religion, or any other category protected by law.

  5. What is the salary range for this position?

    The salary range for this position is typically between $38,000 and $65,000 USD annually, dependent on skills and experience.

  6. What is the company's policy on mental health?

    Unisys is committed to support wellbeing and offers employees access to an Employee Assistance Program (EAP) for confidential mental health support.

  7. Is there opportunity to relocate?

    Relocation assistance is handled on a case-by-case basis. Please discuss it with the hiring manager.

  8. What career progression is available?

    Unisys is committed to the professional development of its staff and offer roles such as Lead AI/ML Engineer, Principal AI/ML Scientist or Engineering Manager.

  9. What are some of the projects that I could be working on?

    As a Senior AI/ML Engineer, you might contribute to projects such as natural language processing, computer vision, fraud detection, and predictive analytics.

  10. What type of equipment and hardware does the team use?

    As a Senior AI/ML Engineer, you may use cloud computing platforms (e.g., AWS, Azure, GCP), high-performance computing clusters and specialized hardware accelerators (e.g., GPUs, TPUs).

Locations

  • Vilnius, Lithuania

Salary

Estimated Salary Rangemedium confidence

41,800 - 71,500 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • Machine Learning Libraries (e.g., scikit-learn, TensorFlow, PyTorch)intermediate
  • LLM (Large Language Models)intermediate
  • Sparkintermediate
  • Distributed Computation Frameworksintermediate
  • Algorithm Designintermediate
  • Data Pipeline Developmentintermediate
  • Data Structuresintermediate
  • Software Engineeringintermediate
  • AI/ML Model Implementationintermediate
  • Code Quality Standardsintermediate
  • ML Quality Standardsintermediate
  • Emerging Technologies Evaluationintermediate
  • AI/ML Process Enhancementintermediate
  • Project Leadershipintermediate
  • Technical Communicationintermediate
  • Problem-Solvingintermediate
  • Mentoringintermediate
  • English Proficiency (Written and Verbal)intermediate

Required Qualifications

  • 4+ years of experience in software engineering/machine learning projects. (experience)
  • 2+ years of experience implementing LLM-based (or similar) solutions in production. (experience)
  • Proficiency in Python and its machine learning libraries. (experience)
  • Experience with Spark or other distributed computation frameworks. (experience)
  • Experience mentoring other Machine Learning team members. (experience)
  • Strong understanding of algorithms, data/ML pipelines, and data structures. (experience)
  • Ability to quickly grasp and apply new technologies. (experience)
  • Ability to work effectively both independently and as part of a team. (experience)
  • Excellent communication skills, both written and verbal, in English. (experience)
  • Experience in designing and leading discussions on key elements of new and existing AI/ML services. (experience)
  • Accountability for assigned projects or sub-projects. (experience)
  • Ability to connect AI/ML technology with business goals to solve real-life problems. (experience)

Responsibilities

  • Collaborate closely with Engineering teams and colleagues to build product features based on AI/ML models.
  • Act as a solution-driven contributor in the creation of features/solutions within the team.
  • Contribute to the definition of code and ML quality standards and ensure consistent tracking.
  • Recommend new/emerging technologies and best practices to enhance product/project effectiveness and strengthen overall AI/ML processes.
  • Stay up-to-date with advanced technologies, seeking opportunities for adaptation and application within Unisys.
  • Lead design discussions regarding key elements of new and existing AI/ML services.
  • Hold accountability for assigned projects or sub-projects.
  • Connect AI/ML technology with Unisys and clients’ business goals to solve real-life problems.
  • Design, develop, and deploy machine learning models and algorithms.
  • Build and maintain scalable data pipelines for model training and inference.
  • Evaluate model performance and identify areas for improvement.
  • Collaborate with cross-functional teams to integrate AI/ML solutions into existing products and services.

Benefits

  • general: Opportunity to be part of a 'Winning Culture' and work on award-winning projects in a high-end technological setting.
  • general: Commitment to Corporate Social Responsibility and Inclusion standards.
  • general: Access to a company-owned learning platform to realize individual potential.
  • general: Wellbeing & Employee Assistance Program for confidential mental health support.
  • general: Solid qualification-, performance- & competence-based remuneration model, attractive pension scheme, and various allowances.
  • general: Bonus/referral/incentive/recognition programs to feel appreciated at Unisys.
  • general: Extended health insurance coverage for private usage from day 1 (premium package).
  • general: Hybrid work model (3 days onsite / 2 days flexible) and great camaraderie, whilst working with Lithuanian and global top talent.
  • general: Free parking lots and a bike garage for storage.
  • general: Great team environment with learning and training opportunities.
  • general: Competitive salary and benefits package.
  • general: Opportunity to work with cutting-edge AI/ML technologies.

Target Your Resume for "Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!" , Unisys

Get personalized recommendations to optimize your resume specifically for Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now!" , Unisys

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

AIMLPythonSparkVilniusLithuaniaAI EngineerMachine Learning EngineerSenior AI EngineerSenior Machine Learning EngineerArtificial IntelligenceMachine LearningDeep LearningNatural Language ProcessingComputer VisionTensorFlowPyTorchScikit-learnData ScienceData AnalysisAlgorithm DevelopmentModel DeploymentCloud ComputingAWSAzureGCPUnisysTech Jobs VilniusAI Jobs LithuaniaMachine Learning Jobs LithuaniaIT ServicesCloud ComputingCybersecurityConsulting

Answer 10 quick questions to check your fit for Senior AI/ML Engineer Careers at Unisys - Vilnius, Lithuania | Apply Now! @ Unisys.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.