Python Engineer Jobs in Suffolk

2 of 2 Python Engineer Jobs in Suffolk

Senior Python Engineer

Ipswich, Suffolk, United Kingdom
IT Talent Solutions Ltd
Senior Python Engineer Are you an experienced Python Developer looking to make a real impact on a platform used globally in data intelligence? We're working with an innovative tech company that's transforming how digital investigations are conducted, and they're looking for a Senior Python Engineer to join their growing team. You'll play a key role in developing core features of a modular data platform used across sectors including law enforcement and financial services. This is a great opportunity to work on meaningful tech in a collaborative, agile environment where your ideas … are valued. What you'll do: Build and enhance scalable Back End systems in Python Design and develop RESTful APIs and microservices Collaborate with engineering, QA, and product teams to deliver new features Mentor junior engineers and contribute to best practice standards Drive CI/CD and automation efforts More ❯
Employment Type: Permanent
Salary: GBP 65,000 Annual
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Senior ML Engineer - Python/Serverless

ipswich, east anglia, 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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