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Builds and deploys AI/ML solutions for enterprise data intelligence, focusing on GenAI, LLMs, and large-scale data processing to improve data quality, enrichment, and retrieval for Demandbase’s GTM platform.
Мы развиваем платформу по формированию аналитической и управленческой отчетности. О команде _Небольшая высокопроизводительная команда дает возможности для самореализации и ощущение нужности своей работы. Ищем…
This role involves building data quality pipelines and conducting ML experiments to improve robot control models within Sber's Robotics Center. The engineer will analyze multimodal datasets, evaluate model performance, and translate data insights into actionable improvements for model training and data collection.
Data Scientist applying statistical modelling and classical ML to validate and benchmark Gen AI solutions within NCS AI Central's Forward Deployed Engineering model, primarily using Python and SQL.
AI Engineer designing and running rapid experiments on Gen AI models, prompts, and RAG retrieval strategies within Forward Deployed Engineering engagements at NCS AI Central, using Python, cloud AI services (AWS Bedrock, Vertex AI, Azure AI Foundry), and agentic orchestration frameworks.
Build and maintain scalable data pipelines and ML systems for clinical trials, R&D, and drug manufacturing at a global pharma company’s applied AI team.
Senior Data Scientist Company: Norstella Location: Remote, United Kingdom Date Posted: Aug 5, 2026 Employment Type: Full Time Job ID: R-2090 **Description** **About Norstella** Norstella is a group of prominent…
Builds and maintains ETL/ELT pipelines to integrate messy client data into a data warehouse, bridging engineering and consulting for health/social/education projects.
About us Synergia is a consulting firm specialising in data analytics, evaluation, service design, and social investment. For more than 25 years, we've supported organisations across New Zealand | Aotearoa to make…
Leads a growing team of applied ML scientists to develop and deploy fraud detection and identity verification models for SentiLink’s fintech solutions, driving product strategy and technical decisions while ensuring AI safety and data governance.
Leads a growing team of applied ML scientists to develop and deploy fraud detection/identity verification models for US financial institutions, balancing technical execution, mentorship, and product strategy in fintech risk solutions.
Builds and deploys AI/ML models for a client’s product, focusing on data pipelines, model optimization, and production integration using Python, TensorFlow/PyTorch, and cloud platforms.
Builds statistical models, processes large-scale data platforms, and collaborates with teams to develop and evaluate cloud-based ML models using Python, SQL, and cloud tools like BigQuery and Teradata.
Senior Data Engineer builds and maintains scalable data pipelines and models for GRESB’s sustainability benchmarks, ensuring trustworthy, well-documented data for investors and AI systems using Python, Postgres, and cloud-native tools.
Builds and maintains Python-based backend services, data platforms, and internal tools for King’s gaming ecosystem, focusing on scalable APIs, distributed systems, and analytics to support business decisions.
Lead Software Engineer designing and building AI-driven observability and agentic systems for Disney's streaming platforms (Disney+, Hulu, ESPN) using Python, foundation models, and distributed systems at scale.
Junior data analyst at a global bank, extracting and processing data with Python and SQL, building dashboards, and translating insights into business decisions.
Data Scientist building time series models and predictive algorithms for quantum sensor systems, using Python, NumPy, Pandas, scikit-learn, and TensorFlow/PyTorch in an office/lab setting.
The Data Engineer will design, build, and maintain ETL pipelines and data marts within a banking environment using PySpark and Python. The role involves managing the full SDLC, from development and UAT to production deployment and support, while working with diverse data types.
Data Engineer building ETL pipelines and data marts with PySpark and Python in a banking environment, owning the full SDLC from build through production deployment and support.
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