Top Machine Learning Jobs in Warsaw

The Quality Engineer will drive the adoption of AI-powered testing tools, establish self-service quality standards, and improve end-to-end test coverage while coaching teams to own their quality processes.

Lead the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Business Excellence Senior Manager enhances commercial performance, collaborates with leaders, and implements insights and tools across markets while managing enterprise-wide initiatives.

Lead and guide AI/ML research efforts: define research agendas, create experiments and prototypes, drive adoption of innovations, collaborate with universities and research communities, and publish research applying AI, data mining, and NLP to client problems.

Lead and grow a ~50-person ML organization, set technical and architectural ML direction, prioritize high-impact AI projects, ensure delivery and measurable business value, and establish standards and best practices across ML, MLOps, and AI initiatives while collaborating with product and senior leadership.

Lead and build Solidgate's ML/AI function from scratch: define vision and architecture, hire and lead the team, deliver real-time decisioning and recommendation systems, partner with Product/Engineering/Data Platform, run experiments and A/B tests, and translate models into revenue-driving production features.

The Data Scientist will design advanced algorithms for generative AI models, analyze large datasets, and collaborate on AI advancements to enhance business processes.

You will design and optimize LLM-based machine learning solutions, focusing on natural language processing, deep learning methods, and inferencing pipelines.

As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.

The Senior Cybersecurity Engineer will innovate IAM processes through automation and AI, ensure compliance, and collaborate with teams to enhance security.

Lead technical strategy and build scalable AI/ML platform infrastructure on AWS and Kubernetes. Design IaC, CI/CD, observability, security, and cost/capacity practices. Mentor engineers, improve deployment reliability, and enable generative AI workloads, model routing, and operational metrics across multiple environments and regions.

Lead end-to-end product management for the Student Assistant AI product: define vision and roadmap, coordinate cross-functional teams, manage discovery to launch, prioritize backlog, run Scrum rituals, and use analytics, experiments, and user research to optimize outcomes while ensuring ethical AI and data privacy.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Lead development, validation and governance of GLMs across European markets; translate pricing models into portfolio steering, monitoring, dashboards and executive insights; act as AKUR8 technical authority; embed pricing governance and mentor pricing leads while collaborating with actuarial, data, underwriting and business stakeholders.

Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Drive new business for Orca AI by prospecting and qualifying leads via calls, email, and social media. Meet opportunity quotas, map target accounts, develop outreach templates, nurture relationships, qualify inbound leads, and collaborate with Sales to generate opportunities in global mid/large/enterprise markets.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

Design end-to-end user experiences for Autodesk Flow Studio and web products. Lead UX from discovery through delivery, run user research and usability tests, create wireframes, flows, and journey maps, translate complex technical workflows into intuitive interfaces, and collaborate with product, engineering, ML, and CG teams to establish UX standards.

Support ~25–30 learners in a virtual ML/data program by answering questions, facilitating breakout rooms, holding office hours, grading submissions, monitoring Slack, reviewing materials, and providing constructive feedback. Provide bilingual (German/English) technical support focused on data annotation, labeling QA, and generative AI concepts. Participate in onboarding, weekly staff meetings, and submit program improvement write-ups.

Lead legal counsel for an adtech company providing commercial, product, privacy, and regulatory counsel. Negotiate complex agreements, advise on global privacy and IAB standards, support product launches and AI use cases, manage data governance and incident response, oversee corporate compliance and outside counsel, and build scalable legal operations and contract workflows.

The role involves designing MLOps platforms, implementing CI/CD pipelines, monitoring model performance, and collaborating with data scientists to productionize ML models. Mentorship to juniors is encouraged.