Data Engineer+AWS (Machine Learning & Financial Crime Technology)

Job DescriptionWe’re Hiring: Data Engineer – Machine Learning & Financial Crime Technology (Immediate Joiner) Experience: 7+ Years Location: London, UK (Hybrid – 2 Days per Week from Office) Employment Type: Contract (Inside IR35) Company: Derisk360 Are you a passionate Data Engineer ready to build and optimize cloud-native data platforms that power Machine Learning solutions for AML, Fraud, and Transaction Monitoring? Join Derisk360—where innovation, engineering excellence, and financial technology converge to transform the global payments and financial crime ecosystem. What You'll Do: • Design and implement scalable ETL/ELT pipelines for machine learning model training, inference, and monitoring. • Build data ingestion frameworks using Python, Spark, PySpark, Kafka, EMR, and MongoDB. • Develop feature engineering pipelines to support model experimentation and production deployment. • Ensure data quality, lineage, versioning, and reproducibility across ML workflows. • Integrate machine learning models into real-time and batch applications through APIs and microservices. • Build model inference pipelines, scoring engines, and streaming integrations. • Automate model deployment, CI/CD pipelines, and infrastructure provisioning using GitLab, Docker, Terraform, and AWS services. • Design cloud-native architectures aligned with enterprise standards and regulatory requirements. • Collaborate closely with Data Scientists, ML Engineers, Platform Engineers, Security, Compliance, and Risk teams. • Build monitoring, observability, auditability, and compliance controls across data and machine learning platforms. • Support A/B testing, model comparison workflows, and shadow deployment strategies. What You Bring: • Strong experience with Python, SQL, PySpark, MongoDB, and distributed data processing. • Hands-on expertise with AWS services including EMR, Lambda, Step Functions, and S3. • Experience with Kafka or similar event-streaming technologies. • Strong understanding of data modelling, feature stores, and ML pipeline orchestration. • Knowledge of machine learning lifecycle concepts including model training, evaluation, deployment, and monitoring. • Experience with CI/CD pipelines, GitLab, Docker, and Infrastructure as Code (Terraform/CloudFormation). • Strong analytical, troubleshooting, and problem-solving skills. • Ability to work independently while collaborating effectively across cross-functional teams. Nice to Have: • Experience working within Financial Crime, AML, Fraud Analytics, or Transaction Monitoring domains. • Understanding of model risk management and regulatory compliance frameworks. • Experience with model interpretability, data drift, and feature drift detection frameworks. • Exposure to large-scale cloud-native machine learning platforms. What You'll Get: • Competitive compensation. • Opportunity to work on cutting-edge Machine Learning and Financial Crime Technology initiatives. • Exposure to large-scale cloud-native data and machine learning platforms. • Be part of a high-performing, cross-functional engineering team. • Culture of innovation, continuous learning, and engineering excellence. Important Note: • This is a Contract role Inside IR35. • Candidates must be able to work 2 days per week from the London office. • Visa Sponsorship is not available for this position. Applicants must have valid UK work authorization.