Top Machine Learning Jobs in Germany

Lead technical discovery and early development of an action-recognition CV product for retail: design experiments, build end-to-end video ML pipelines, set up annotation workflows, prototype and evaluate models, optimize precision/recall and latency, and provide technical leadership across product and engineering.

Lead business analytics projects partnering with ABB business areas: design data migration, integration, validation, reporting and governance; manage cloud analytics platforms, vendors and infrastructure; pilot AI/ML solutions and ensure alignment with business objectives and controls.

Lead development and execution of AI and automation roadmap for Western Europe Amazon e-commerce. Build AI-driven discovery and recommendation strategies, create automated reports and predictive analytics, drive AI tool adoption, ensure responsible AI governance, and run test-and-learn pilots to scale successful e-commerce AI use cases across Amazon markets.

Own end-to-end delivery of specific ADAS features (e.g., TFL, High Beam Assist, Blind Spot Monitoring). Define feature scope, set performance targets, align OEM requirements with internal roadmaps, collaborate with engineering/product/OEM teams, participate in testing/validation, and mitigate risks to ensure features meet specs and production readiness.

Lead Workday Compensation implementations and HCM transformations: run workshops, gather requirements, configure, test, deploy, lead workstreams, liaise with clients and teams, and apply Accenture/Workday methodologies and AI-enabled tools.

Lead delivery of analysis-ready translational and biomarker data products, define FAIR-compliant standards and semantic schemas, drive automation and platform integration, and build a distributed team to scale data stewardship, governance, and AI-ready workflows across research and development.

Lead chemoinformatics data engineering for drug discovery: build and manage data/ML workflows, partner with R&D and IT, implement ML models for ADMET and virtual screening, develop cheminformatics software, and support data-driven decision-making across global teams.

Lead the design and delivery of a greenfield Anti Financial Crime platform: define product requirements, own technical roadmap and architecture, partner with AML/AFC operations to detect and prevent financial crime, align cross-functional stakeholders, and manage a data-engineering-focused team to implement scalable, production-ready controls.

Lead the design and delivery of a greenfield Anti Financial Crime platform: define product and technical requirements, own roadmap and architecture, collaborate with AML/AFC operations and cross-product teams, translate regulatory threats into engineering specs, enable threat detection/prevention, and drive agile execution with a data-engineer-focused team.

Deliver operations-focused strategy consulting engagements across procurement, supply chain, manufacturing, and digital operations. Lead workstreams, perform advanced analytics and ML-driven solutions, synthesize recommendations, manage client relationships, and coach junior team members to drive sustainable performance improvements.

Lead operations-focused consulting engagements end-to-end, drive problem-solving and recommendations, manage teams, apply analytics and digital solutions, build client relationships, and support sustainable operational transformation.

Deliver client engagements in operations-focused performance transformation across procurement, supply chain, manufacturing, and digital operations. Lead major workstreams, perform rigorous analysis, synthesize recommendations, coach junior staff, collaborate with clients, and apply advanced analytics and digital solutions to improve operational performance.

The role involves sourcing and evaluating AI infrastructure founders, supporting them through early stages of investment, and representing the firm with technical expertise.

Build backend services and data infrastructure for a geospatial intelligence platform, focusing on scalable design and data architecture for large datasets.

Lead product strategy and delivery for backend-heavy, high-throughput adtech services. Manage teams, partner integrations, ML model integrations, and launch lifecycle while driving decisions with BI and data analysis.

As an R&D Engineer, you will design and optimize AI pipelines, integrate LLMs into testing workflows, and analyze semiconductor data.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

Develop, validate, and integrate optical and multiphysics simulation tools into a laser Digital Twin. Model laser amplifier architectures, couple optical/thermal/mechanical domains, create reduced-order and surrogate models, validate against experiments, perform UQ and sensitivity analyses, and collaborate with engineers and experimental teams to inform system design and optimization.

Develop and validate power system models and optimization algorithms, design computational experiments, produce versioned code and reproducible results, collaborate with internal and external teams, integrate solutions into products, and publish technical outputs.

Develop, analyze, and implement quantum error-correcting codes and decoding algorithms for fault-tolerant quantum computing. Design fault-tolerant operations (e.g., lattice surgery), implement and optimize decoders in Python/C/C++/Rust (potential FPGA deployment), perform resource estimation and scalability analysis, collaborate with hardware and software teams, and publish research in scientific venues.

Lead AI-enabled computational pathology and multimodal biomarker development for oncology/bioPharma. Drive biomarker strategy, cross-functional collaboration, proof-of-concept studies, multimodal data integration, validation, regulatory support, and scalable platform development to enable patient selection and translational decision-making across drug development.

Provide strategic scientific leadership for AI-powered computational pathology and multimodal biomarker development in Oncology/BioPharma. Lead cross-functional teams to implement end-to-end biomarker strategies from target validation through clinical implementation, oversee multimodal proof-of-concept studies, establish analytical and clinical validation frameworks for regulatory readiness, build reusable biomarker platforms, and drive external collaborations and adoption to translate AI innovations into clinical and regulatory impact.

Develop and improve AI/ML tools, models, and dashboards to optimize European station and fleet strategy. Create quantitative scenarios for expansion, capacity and electrification planning, monitor market trends, and present recommendations to senior management.

Lead enterprise strategic engagements to identify and sell high-value AI use cases and application roadmaps. Build relationships with Global 1000 customers, drive account expansion, collaborate cross-functionally, and support product and partner business development. Role is quota-carrying and involves frequent customer travel.

Lead global marketing strategy and GTM to scale Aisle into a market leader. Own brand, PR, product positioning, full-funnel demand generation, ABM, marketing tech stack, RevOps, attribution, budget/agency management, and grow a multidisciplinary marketing team aligned to revenue targets.