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21 Remote, Hybrid & Onsite Jobs in Poland matching "Machine Learning"
Machine Learning Team Lead
GWI
Remote
Join GWI
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Be part of a company helping Twitter, Google, and Spotify uncover insights through its unique audience targeting platform.
Industry Leader
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GWI leads the global marketing industry with a data platform representing nearly 3 billion people, delivering actionable insights since 2009.
Unique Platform
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GWI’s platform is designed for easy use by anyone, cutting through the noise to deliver reliable facts about global audience behaviors.
Role Responsibilities
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As a Machine Learning Team Lead, lead a team of ML engineers in defining operating standards, consolidating data strategies, and promoting growth.
Key Requirements
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Candidates need experience managing diverse data science teams, proficiency in Python, and strong skills in probabilities, statistics, and optimization.
Compensation Package
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Enjoy a competitive gross salary, employee share scheme, private health insurance, and a host of benefits focusing on work-life balance.
Flexible Work
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Based in Greece, this position offers remote and flexible-first options, allowing you to work from anywhere that suits your lifestyle.
Diverse Culture
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GWI champions diversity, equity, and inclusion, ensuring their office and teams are as diverse as the data they handle. Your uniqueness is valued.
Career Development
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GWI is committed to your professional growth with accredited learning programs, career development opportunities, and an annual international conference.
Make an Impact
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Join GWI to make a significant impact, working on game-changing projects in a supportive, inclusive environment that respects, values, and empowers all.
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Machine Learning Engineer
Appsilon
Remote
Join Appsilon
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Contribute to world-changing ML projects in drug discovery and biodiversity at Appsilon, an R and Shiny global leader.
Company Mission
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Appsilon helps Fortune 500 enterprises unlock potential using data science, with a focus on societal and environmental impact.
Unique Projects
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Join exciting ML projects, including drug development and biodiversity preservation, with partners like Boston Medical Center and Uni Sorbonne.
Collaborative Excellence
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Work alongside top-notch teams in ML, innovation, and application deployment, backed by ex-Googlers and PhDs from MIT, MiMUW, and more.
Position Scope
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As a Machine Learning Engineer, engage in data collection, EDA, model design, cloud infrastructure setup, and client interactions.
Core Requirements
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Candidates need 2+ years of experience, strong Python and PyTorch skills, familiarity with MLOps, and advanced machine learning knowledge.
Flexible Salary
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Earn a competitive monthly salary ranging from 14,000 - 21,000 PLN (3,600-5,400 USD), with comprehensive remote work options.
Professional Development
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Benefit from a development budget (5% of salary) and four paid training days annually to support your growth and learning.
Inclusive Culture
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Join a smart, friendly, and inclusive team with high technical standards, low burnout risk, and no micromanagement.
Impactful Work
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Work on high-impact projects ensuring ML applications drive positive change in healthcare, climate crisis, and biodiversity preservation.
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Head of Machine Learning and Data Science
Finom
Remote in
Poland
(+7)
Mission statement
FINOM's mission is to simplify the life of entrepreneurs and freelancers, who are the economic backbone of Europe.
Sénior Machine Learning Engineer - Trust & Safety
Ubisoft
3.8
(4)
Remote
Exciting Mission
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Join Ubisoft's quest to enrich player experiences with awe-inspiring gaming adventures. Be part of groundbreaking entertainment evolution.
Iconic Brand
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Ubisoft, the power behind Assassin's Creed and Far Cry, pioneers interactive entertainment, pushing boundaries in technology and creativity.
Creative Synergy
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With 20,000 peers across 40+ locales, Ubisoft thrives on diverse talent to craft immersive worlds, partnering with industry giants like Apple and Netflix.
Data-Driven Culture
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As a Machine Learning Engineer, delve into data and algorithms to sculpt Ubisoft's future, ensuring user trust and safety with every code.
Tech Pioneers
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Craft scalable ML systems, work alongside top engineers, and implement cutting-edge technologies to shape the future of gaming experiences.
Empower Innovation
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Employ your expertise in Python, ML frameworks, and anomaly detection to build, innovate, and lead projects enhancing our gaming ecosystem.
R&D Spirit
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Flourish in a role that values a 'try hard, fail fast' mindset, where challenging the status quo and embracing new ML trends is the norm.
Global Collaboration
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Work remotely from the stunning Saint-Mandé office, contribute globally and relish perks like profit sharing, generous leave, and a family-oriented health plan.
Inclusive Growth
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Ubisoft celebrates diversity in every form, fostering an inclusive environment where every team member feels valued and inspired.
Join the Unknown
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Embark on an unparalleled career adventure with Ubisoft, where your skills fuel next-gen gaming and your growth is as unlimited as our game worlds.
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Senior AI Engineer (f/m/d)
Xayn
Remote
Innovative Privacy
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Experience Xayn's unique approach to privacy with AI tech that empowers users globally.
Xayn's Mission
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Join a company with a vision to transform privacy tech into a mainstream choice, ensuring it is a fundamental human right.
Global Impact
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Make a difference in the tech industry as part of Xayn's diverse team, based in the heart of Europe, Berlin, and dedicated to democratic values.
Unique Offer
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Benefit from long weekends with Xayn's four-day workweek and embrace a healthy work-life balance with the flexibility of remote work.
Personal Growth
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Xayn invests in personal and professional development, offering up to €1,800 annually for your continuous learning journey.
AI Pioneering
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Take the lead in designing, coding, and deploying scalable AI systems that balance improvement and scalability at Xayn.
Tech Innovation
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Join a forward-thinking team to refine machine learning methods, enhance software quality, and collaborate on transformative technologies.
Senior Expertise
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Seeking AI enthusiasts with a mastery of machine learning, neural networks, Python, and version control, aiming to apply research to production.
Career Advancement
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As a Senior AI Engineer, impact the industry by implementing and testing ways to advance current models and sharing expert knowledge.
Join the Mission
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Be part of Xayn's vision to protect privacy using AI, where cutting-edge tech meets purposeful work in a supportive and dynamic environment.
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ML Research Engineer (Remote)
Let's Enhance
Remote in
Poland
(+25)
Cutting-edge Role
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Join Let’s Enhance, a top-tier AI imaging startup, as an ML Research Engineer. Shape state-of-the-art AI tools for image enhancement.
Innovative Mission
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Let’s Enhance builds AI-driven imaging solutions for photo quality, enabling stunning user-generated content and better conversion rates.
Unique Backing
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Supported by Techstars, Nvidia, and Google, Let’s Enhance boasts recognition on Product Hunt. Their API is used by Fortune 500 companies globally.
Team Diversity
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Work with a team of over 20 talented individuals from 11 different countries, offering an inclusive and diverse working environment.
Research Focus
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Conduct R&D in computer vision and image processing. Implement cutting-edge solutions using deep learning models and share insights with your peers.
Development Collaboration
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Collaborate with software developers to productize new AI solutions, ensuring high-quality code and resolving complex model issues.
Core Requirements
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Applicants need a Bachelor’s in STEM, 3+ years in machine learning, solid coding skills in PyTorch and OpenCV, and knowledge in deep learning frameworks.
Attractive Compensation
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The role offers an attractive salary plus equity. Additional benefits include unlimited vacation, a remote-first culture, and a non-bureaucratic environment.
Preferred Timezone
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The position is fully remote, with a preferable timezone of CET (+-3 hours). Applicants from various global locations are encouraged to apply.
Apply Now
frank ai
Join Let’s Enhance to contribute to revolutionary AI projects, enjoy diverse team interactions, and benefit from a supportive, innovative workplace.
View or apply