Python Engineer Jobs in Tyne and Wear

2 of 2 Python Engineer Jobs in Tyne and Wear

Data Engineer Python Spark SQL

Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom
Hybrid / WFH Options
Client Server
Data Engineer (Python Spark SQL) *Newcastle Onsite* to £70k Do you have a first class education combined with Data Engineering skills? You could be progressing your career at a start-up Investment Management firm that have secure backing, an established Hedge Fund client as a partner and massive … growth potential. As a Data Engineer you'll be instrumental in transitioning the core data platform to Azure, managing 3rd party data ingestion and integration. You'll collaborate and be supported by a small team, seeking ways to improve the data quality and introduce event streaming. Location/WFH … by minimum A A B grades at A-level You have commercial Data Engineering experience working with technologies such as SQL, Apache Spark and Python including PySpark and Pandas You have a good understanding of modern data engineering best practices Ideally you will also have experience with Azure and More ❯
Employment Type: Permanent, Work From Home
Salary: £70,000
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Senior ML Engineer - Python/Serverless

newcastle-upon-tyne, tyne and wear, north east england, united kingdom
Hybrid / WFH Options
Ocho
Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs … and engineering function, helping deliver intelligent automation features and ML-enhanced services in a high-scale cloud environment. The role requires deep expertise in Python, applied machine learning, and AWS-native ML workflows. You'll work closely with data engineers, backend developers, and product leaders to embed ML across … across the platform Essential Criteria: * 7-10+ years of software/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services More ❯
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