Join our dynamic team at Lingarogroup as a Machine Learning / Artificial Intelligence Engineer. In this pivotal role, you will be at the forefront of developing innovative AI solutions that will drive our business forward. You will collaborate with talented professionals in a stimulating environment, working on cutting-edge projects that leverage the latest advancements in machine learning and AI technologies.

About Air Space IntelligenceAt Air Space Intelligence, we harness cutting-edge technology to inform and enhance decision-making across critical sectors such as aviation, defense, energy, and other vital infrastructure domains. Supported by esteemed investors like Andreessen Horowitz, Spark Capital, and Renegade Partners, we empower organizations with operational decision superiority—transforming extensive analysis into instantaneous actions. Join us as we redefine the boundaries of what’s achievable.Your Responsibilities:As an integral member of our engineering team, you will architect and implement production-grade systems that seamlessly integrate machine learning models into scalable software pipelines. Your work will involve developing and deploying features that utilize machine learning to address real-world optimization and prediction challenges, leveraging modern infrastructure tools such as Kubernetes, AWS, and MLOps frameworks. You will approach challenges with a software engineer's perspective, emphasizing robustness, maintainability, and scalability.What We Look For:Expertise in Python and familiarity with production ML tools and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Hands-on experience with LLMs in production settings, including prompt engineering, fine-tuning, RAG systems, and frameworks like LangChain.Solid understanding of data structures, algorithms, and best practices in software engineering.Knowledge of classical ML concepts and deep learning, with a focus on transformer architectures and MLOps.Proven experience in building and maintaining scalable and reliable production ML systems with sophisticated data pipelines, including proficiency with tools like Apache Beam, MLflow, and others.Dedication to high-quality ML engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.A preference for simplicity and clarity when tackling complex problems.Intellectual curiosity paired with a collaborative spirit.Excellent communication skills for effective collaboration across diverse teams.What We Offer:Flexible Working Hours: Our global team supports mission-critical operations; we prioritize work-life balance through flexible scheduling.Comprehensive Healthcare and Health Insurance: We recognize that health and wellness are essential for a fulfilled and resilient life.

Join Our Team as a Machine Learning EngineerRTB House is a pioneering global leader in marketing technology, renowned for delivering cutting-edge advertising solutions to prestigious brands and agencies across the globe. Our proprietary ad-buying engine, the first in the world to be solely powered by Deep Learning algorithms, empowers advertisers to achieve exceptional results and meet their goals at every stage of the marketing funnel.Established in 2012, RTB House operates in over 90 markets and thrives on a foundation of privacy and innovation, utilizing first-party data to craft impactful advertising experiences. Our suite of Deep Learning-driven AdTech products and solutions is designed to maximize conversions, enhance customer acquisition, foster engagement, and sustain long-term demand for our diverse clientele.

Role Overview: We are on the lookout for an experienced Senior Machine Learning Engineer to join our innovative team at Fundraise Up. In this pivotal role, you will leverage your expertise in machine learning to design and implement cutting-edge solutions aimed at enhancing our fundraising platform. About Fundraise Up Fundraise Up is a state-of-the-art fundraising platform dedicated to making donations to nonprofit organizations seamless and efficient. We are committed to continuous innovation, improving page load times, increasing conversion rates, and supporting a diverse range of payment methods. Our platform facilitates hundreds of millions of dollars in donations globally each month. Renowned nonprofit organizations, including UNICEF, the American Heart Association, and the Alzheimer’s Association, trust our platform for their online fundraising needs. We are proud to maintain an impressive 4.9 out of 5 rating across leading review platforms. Our primary client base is located in the United States, Canada, the United Kingdom, and Australia. The Team Join our dynamic product development team, which consists of over 150 professionals spread across Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Our team communicates primarily in Russian, fostering a collaborative environment where every member is valued and encouraged to contribute their ideas. We hold bi-weekly engineering meetups to discuss technical challenges and share insights, promoting a culture of continuous learning and support. Key Responsibilities Design, develop, and deploy machine learning solutions across various business domains. Collaborate with multiple product teams to optimize features such as donation amounts and upsell offers. Experiment with and apply classical machine learning, reinforcement learning, and large language model-based solutions. Contribute to the development of smart assistants and transaction classification systems. Qualifications Minimum of 5 years of production experience in machine learning. Proficiency in English (B2 level) is required; Russian is a plus. Strong problem-solving skills and a willingness to experiment with various approaches. Experience working in a collaborative team environment.

Join our innovative team at inetum2 as a Technical Leader in Artificial Intelligence. In this pivotal role, you will spearhead groundbreaking AI projects, guiding a talented team of engineers and researchers to develop cutting-edge solutions. Your expertise will be crucial in driving our technology strategy and enhancing our product offerings.

Intuition Machines is at the forefront of building enterprise security solutions infused with cutting-edge AI and machine learning technologies. Our innovative research drives systems that cater to the needs of hundreds of millions of users globally, supported by a diverse team spread across various locations. Among our notable offerings is the hCaptcha security suite, which exemplifies our approach of maintaining low overhead, agile teams, and fast-paced development cycles.We are seeking a visionary Lead Machine Learning Engineer who possesses robust software engineering prowess and a flair for creatively solving ML-centric challenges.Responsibilities:Lead the development and execution of large-scale ML projects from concept through to production, managing the entire lifecycle including design, implementation, deployment, and ongoing maintenance.Make strategic architectural decisions to create solutions that are not only scalable and efficient but also maintainable, while carefully balancing both business and technical requirements.Foster collaboration among machine learning and engineering teams to drive product success, effectively influencing technical discussions and decisions across all organizational levels.Design and develop advanced machine learning pipelines and models that deliver substantial impact to millions of users and create tangible business value.Establish technical standards and lead the creation of scalable, testable, and high-performance applications.Provide leadership and mentorship to fellow ML engineers, nurturing the growth of a robust Machine Learning Engineering community.Opportunities for Growth:Engage with systems that reach millions of users daily, enhancing machine learning systems that process billions of data points and conduct millions of inferences each second.Acquire expertise in architecting and scaling sophisticated ML solutions to tackle real-world challenges, transcending typical methodologies found in academic literature.Seize the opportunity to define the technical strategy, contribute to groundbreaking ML advancements, and steer the future trajectory of ML systems at scale.

Join the #VLteam at VirtusLab, where technology meets passion and innovation. We are a group of tech enthusiasts dedicated to continuous growth and development. Our team culture emphasizes a friendly atmosphere, ample opportunities for self-improvement, and superior working conditions. We value trust and autonomy, believing in ‘measuring outcomes, not hours.’ Come and experience this unique environment for yourself!

Join hyperexponential (hx) as an AI EngineerAt hyperexponential, we are revolutionizing the insurance industry with our cutting-edge AI-powered platform that facilitates critical decision-making within a $7 trillion sector. Our technology is instrumental in determining which risks to take and how to price them, influencing vital outcomes such as successful space launches, the market readiness of autonomous vehicles, and the recovery of communities post-disaster.Insurance has long relied on antiquated methods for making billion-dollar decisions. We are changing this narrative by integrating data, AI, and human insight, enabling insurers to streamline their processes from submission to decision. Our platform empowers them to act swiftly, make informed choices, and embrace risk with greater assurance.Supported by renowned investors like a16z, Highland Europe, and Battery Ventures, we are expanding our global footprint. Currently, we serve nearly 50 of the largest insurance companies worldwide, maintaining zero churn and facilitating billions in premiums through hx.What started as a singular offering has swiftly transitioned into a multi-product, multi-territory solution that supports all phases of pricing and underwriting. AI is at the heart of our operations, from crafting the first domain-specific AI peer programmer for insurance to creating innovative workflows that redefine industry standards.At hx, we pride ourselves on our people. Here, the impact is determined by the challenges tackled and the dedication shown, rather than titles or tenure. In a collaborative environment that encourages growth, you will engage in meaningful work that challenges you to excel.If you resonate with this mission, we invite you to join us in shaping the future of insurance.About the hxAI TeamAI is integral to our software development and decision-making processes at hx. From large-scale document intelligence to specialized AI peer programming utilized by actuaries and underwriters, hx is pioneering the application of generative AI in the insurance sector.Our AI Platform team is essential to this endeavor, designing, building, and managing the systems that enable safe, scalable AI training, deployment, evaluation, and monitoring. This includes model serving, data pipelines, observability, automation of deployments, and orchestration of computing resources.Collaborating closely with product and research teams, we transform rapid experimentation into reliable, cost-effective, and developer-friendly production systems. Our success metrics include expedited releases, enhanced model performance in real-world applications, and AI solutions that our clients can rely on for critical decision-making.

SoftwareMind is looking for a Machine Learning Engineer in Kraków. This position centers on building intelligent systems that help organizations make better decisions through data-driven insights. Role overview The Machine Learning Engineer will design and implement models using established machine learning algorithms. The work involves processing data and developing solutions that support smarter business outcomes across various industries. What you will do Develop and refine machine learning models to extract actionable insights from data Apply data processing techniques to prepare and analyze large datasets Contribute to projects that aim to improve decision-making processes for clients Requirements Experience with machine learning algorithms Strong skills in data processing and analysis

Join our innovative team at Jobs for Humanity as an AI Content Specialist focused on Artificial General Intelligence (AGI). In this dynamic role, you will leverage your expertise in AI to create compelling, informative content that resonates with a diverse audience. Your contributions will help shape the future of AI communication and education.

Join Red Panda Data as an AI Agent Engineer, where you will be at the forefront of developing innovative AI solutions that enhance user experiences and streamline operations. In this role, you will collaborate with cross-functional teams to design, implement, and optimize AI agents that meet the needs of our clients.

Lead and execute software engineering initiatives to facilitate end-to-end machine learning operations, emphasizing the scaling of workflows for extensive datasets and distributed systems.Architect, develop, and sustain MLOps infrastructures, including microservices, queuing systems, APIs, and orchestration workflows utilizing Python, Kubernetes, Kafka, and advanced database technologies.Deploy observability tools such as Prometheus and Grafana to guarantee the reliability, performance, and visibility of machine learning systems in a production environment.Work collaboratively with data scientists and machine learning engineers to optimize workflows for large language models, generative AI, and intelligent agent development and deployment.Evaluate architecture and implementation strategies to ensure alignment with organizational objectives, scalability, and adherence to best practices.Guide and mentor junior and mid-level engineers, promoting a culture of collaboration, innovation, and operational excellence.

Join our dynamic Chat Group as a Senior Machine Learning Engineer, where we are revolutionizing the recruiting industry with next-generation intelligent conversational systems.Our mission is both ambitious and straightforward: to enhance the efficiency of recruiting and hiring teams, while providing an exceptionally personalized experience through advanced ML, NLP, and agentic AI technologies.In this pivotal role, you will architect and develop agentic workflows, enabling autonomous AI agents to collaborate, reason, and perform tasks that deliver scalable, intelligent, and context-aware recruiting experiences.At SmartRecruiters, you will collaborate with a global team across Germany, Poland, the UK, and the US, in a culture that prioritizes autonomy, innovation, and measurable success.We’re not just creating chat systems; we’re crafting the AI recruiting assistants of the future.Note: This position is available under a standard employment contract with 80% of tax-deductible costs.

Join our innovative team at jobsforhumanity as an AI Content Specialist focused on Artificial General Intelligence. In this role, you will harness your expertise to create high-quality AI-driven content that engages and informs audiences. You will collaborate with cross-functional teams to enhance our content strategy and ensure alignment with our mission to empower humanity through technology.

Location: Poland About Us: RTB House is a pioneering global technology company, recognized for delivering cutting-edge marketing solutions to premier brands and agencies worldwide. Our proprietary ad-buying engine stands out as the world’s first to harness the full potential of Deep Learning algorithms, empowering advertisers to achieve exceptional outcomes and reach their objectives at every stage of the customer journey. As a Machine Learning Researcher, you will play a crucial role in advancing this innovative technology. Established in 2012, RTB House operates in over 90 markets, maintaining a private-by-design ethos. We emphasize first-party advertising and a steadfast commitment to innovation. Our comprehensive suite of Deep Learning-powered AdTech products and solutions is designed to maximize conversions, enhance customer acquisition, foster engagement, and stimulate sustained demand for our diverse global clientele. Your Responsibilities: Design and implement models, predominantly deep neural networks, aimed at predicting user behavior and preferences online. Analyze the latest advancements in the Machine Learning domain. Conduct and interpret A/B tests for new methodologies. Develop and assess innovative strategies for modeling critical challenges, including bidding in first-price auctions. Desired Qualifications: Minimum of 4 years of practical experience in Machine Learning or Data Science. A strong interest and commitment to continuous professional development in the Machine Learning field. Solid understanding of statistics and probability. Proficient programming skills. Preferred Technologies: Python, Java, Scala PyTorch, NumPy, Pandas Jupyter Notebooks Additional Advantages: Experience within the ML industry. Background in designing recommendation systems. Hands-on knowledge of our utilized tools. Exploratory Topics: Implementation and evaluation of advanced model architectures, such as convolutional networks and transformers. Assessing discrepancies between training and production data distributions, problem scale estimation, solution identification, analysis, implementation, and deployment. Experiments utilizing transfer learning techniques. ...

Role Overview Title: Senior Machine Learning Engineer - Finance Location: Remote (Poland-based) Language Requirement: English proficiency at C1 level About Fundraise Up Fundraise Up builds a platform that streamlines online donations for nonprofits. The company focuses on fast, intuitive user experiences that help organizations increase conversion rates and collect tens of millions in contributions each month from supporters worldwide. Trusted by major nonprofits such as UNICEF and the American Heart Association, Fundraise Up holds a strong reputation with a 4.9 out of 5 rating on leading review sites. The company primarily serves enterprise clients across the US, Canada, UK, and Australia. Team and Culture The product development team includes more than 150 professionals from countries like Spain, Serbia, Poland, Portugal, Turkey, Cyprus, Georgia, and Armenia. Most team communication happens in Russian. Collaboration and knowledge sharing are central to the culture. Bi-weekly engineering meetups offer space for technical discussions and sharing achievements. Every team member’s input is valued, and mutual support is encouraged. What You Will Do This position involves leading a client intelligence project that is moving in-house after a successful proof-of-concept with an external consultant. The project’s goal is to build a global list of potential clients, analyze their product needs, industry sectors, and revenue potential, and deliver a scoring model that integrates with the sales pipeline. Responsibilities span the full lifecycle: from gathering and enriching data to modeling and deploying solutions. The work is highly visible, involving close collaboration with company executives. Key Responsibilities Build and maintain a market intelligence database using various data collection techniques, including scraping and data enrichment. Optimize data pipelines and develop machine learning models for data scoring and analysis. Design and implement web scrapers to extract actionable insights from nonprofit websites, ensuring data accuracy and relevance.

Join our dynamic ML Platform team at Bolt as a Senior ML Platform Engineer, where you will play a pivotal role in designing, developing, and optimizing our AI Infrastructure. This infrastructure powers Bolt's intelligent services, making machine learning and artificial intelligence easier to implement at scale.We are a rapidly growing tech company with over 200 million customers across more than 50 countries. Our mission is to create cities that prioritize people over cars, and we believe an inclusive environment is key to achieving this goal. We welcome applicants from all backgrounds and walks of life.

About PathwayAt Pathway, we are revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes. Our innovative architecture not only surpasses traditional Transformer models but also provides enterprises with unparalleled transparency into its operations.Combining our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental optimization and embrace a truly contextualized, experience-driven intelligence. We are proud to serve high-profile clients such as NATO, La Poste, and Formula 1 racing teams.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers such as CTO Jan Chorowski, who pioneered the application of Attention to speech and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at just 20 years old.Our endeavors are supported by leading investors and advisors, such as Lukasz Kaiser, co-author of the Transformer architecture (the basis for ChatGPT) and a pivotal researcher behind OpenAI’s reasoning models. Pathway is headquartered in Palo Alto, California.The OpportunityWe are seeking 1 or 2 R&D Engineers specializing in attention-based models.In this highly ambitious foundational project, we offer a flexible GPU budget guaranteed to exceed seven digits.You WillConduct (distributed) model training.Enhance and adapt model architectures based on experimental outcomes.Design innovative tasks and experiments.Optionally supervise team members involved in data preparation.Your contributions will be instrumental in the project's success.

Join our dynamic team as a Machine Learning Engineer, where you will engage in innovative projects that leverage cutting-edge technology to develop AI-driven solutions. Your primary focus will be on merchant segmentation, churn prediction, and comprehensive business evaluation through advanced web scraping and forecasting models.We are looking for candidates who are eager to take ownership of complex machine learning models and lead them from conception to production.