Data Extraction Jobs in Swindon

2 of 2 Data Extraction Jobs in Swindon

(Senior) Software Engineer C# & .NET d/f/m

Swindon, Wiltshire, United Kingdom
RWE AG
area: IT/Digital Remuneration: tariff/non-tariff Department Insights It's an exciting time to join us! RWE Supply & Trading has recently introduced a new cloud-based data analytics platform. We are expanding our team and looking for an experienced Software Engineer to play a key role in enhancing our platform capabilities. The Lead in Data (LiD) platform has revolutionized data searching, sharing, transforming, and onboarding within our organization. Data is central to our trading and analysis activities and will continue to be a vital asset across the group. You will apply your expertise in C# and .NET to develop robust data services within the Mix system and help future-proof our … environments is highly desirable. If this sounds appealing, then apply now! Your future responsibilities Design and develop scalable back-end services and APIs using C# and .NET 8 Implement data extraction and transformation logic within .NET environments Utilize Python for data processing, automation, and application logic as needed Enhance and maintain the Market Data API and More ❯
Employment Type: Permanent
Salary: GBP Annual
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Machine Learning Engineer

Swindon, England, United Kingdom
Hybrid / WFH Options
JR United Kingdom
Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment decisions. Use AI to simulate different market conditions and generate optimal exit strategies. … Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine learning models using frameworks like Scikit-learn, TensorFlow, or PyTorch. Proficiency in Python and adherence to software More ❯
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