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Design and deploy AI/ML systems for industrial cybersecurity, focusing on threat detection and automation in ICS/xOT environments using Python, ML frameworks, and Kubernetes.
Lead a team of software engineers building AI/ML models and platforms for Conga’s products, including feature stores, model training, and monitoring pipelines.
Salary: £57,000 - 63,000 per year Requirements: Significant professional experience in backend development at a senior level. Strong proficiency in Python, including asynchronous programming, concurrency, and…
Salary: £? - ? per year Requirements: We have 5+ years of experience in MLOps, DevOps, or related engineering roles. We have strong knowledge of the ML lifecycle and production ML operations. We have hands-on…
Задачи: Создание моделей нейронных сетей в задачах Object detection, Instance Segmentation, Classification, Pose Estimation. Проработка сценариев тестирования моделей машинного обучения. Участие в создании инструкций…
Senior Data Engineer building and supporting batch and real-time data pipelines using SQL, Python, Databricks, Azure, and distributed data technologies, with focus on query optimization over billions of rows.
The Senior Software Engineer, Data Science will design and maintain data pipelines, data lakes, and data products to support Nexthink's cloud intelligence platform. The role involves applying software engineering best practices to data science workflows, mentoring team members, and leveraging AI to enhance data infrastructure.
AI Engineer for a banking client project, building production-ready AI/ML models, data pipelines, and APIs using Python, cloud platforms, and Generative AI/LLM technologies.
ABOUT SINGLESTORE & THE TEAM SingleStore is the Intelligence Platform powering real-time data, analytics, and AI experiences at enterprise scale. Internally, we practice what we preach through our AI &…
We are looking for a Middle/Senior Data Scientist to join the Data Science team of a leading financial institution in Ukraine. We are open to considering candidates at the Middle to Senior level, depending on their…
Data Scientist builds ML models to assess credit, market, and fraud risks for a major Ukrainian bank, using Python, SQL, and cloud tools like SageMaker.
Привет! Это команда Возвраты ML. Мы ищем талантливого Data Scientist/ML Engineer в новую ML-команду отдела «Возвраты маркетплейса». Отдел занимается обработкой и модерацией возвратов покупателя и продавца, аннуляциями,…
Anti-fraud analyst investigating fraud cases, modeling scenarios, and improving monitoring algorithms using Python and SQL at Sberbank's Moscow office.
Мы — ООО « Датаномика » , решаем проблемы структурирования разнородных данных, которые сложно поддаются анализу, помогаем среднему и малому бизнесу, банкам, ритейлу использовать данные чеков для оценки конъюнктуры…
A Senior Data Analyst bridges sports business teams and digital data teams, defining key data-driven challenges, conducting advanced analyses, and delivering actionable insights to inform product and commercial decisions for team sports.
Build and scale production AI systems for English Language Learning, developing agentic content generation workflows and LLM-powered services (Conversation Brain, Ambient ORA) that serve multiple Pearson products. Work with Python (FastAPI, CrewAI, LangGraph, LangChain), Azure, and observability tools to operationalize AI from research into production.
The Forward-Deployed Data Scientist designs and builds end-to-end machine learning solutions for clients, managing the full ML pipeline from data transformation to model deployment. This role involves direct customer collaboration to drive business value and partnering with product teams to advance reinforcement learning algorithms.
Data Engineer building scalable batch and real-time data pipelines, conducting data operations, and developing ML algorithms using Python, SQL, Spark, Kafka, and Kubernetes for Schwarz Digits, the IT division of retail group Schwarz (Lidl/Kaufland).
Develops AI/ML algorithms for defense applications, integrating models into systems and collaborating with cross-functional teams to solve complex national security challenges.
Builds and deploys predictive/prescriptive ML models for procurement, manufacturing, and sales at a global snacks producer, integrating AI into agentic workflows and bridging technical rigor with business decision-making.
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