Software Engineer – anomaly detection

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/ £60000 - £95000 annum

INFO

Salary
SALARY:

£60000 - £95000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Software Engineer - Anomaly Detection

Remote

THE COMPANY

This is an opportunity to work with cutting‑edge AI infrastructure, production‑grade serverless technologies, and complex statistical modelling in a highly collaborative, tech‑forward environment.

THE ROLE

As a Software Engineer specialising in anomaly detection, you will design, build and maintain internal Python libraries, data validation workflows, and cloud‑based systems used across multiple data teams. You will take ownership of model development, tooling improvement and automated data quality checks for high‑value financial datasets.

You will:

  • Maintain, version and release internal Python libraries used in data science workflows
  • Build statistical and ML‑driven anomaly detection models for financial index validation
  • Develop and support AWS serverless pipelines (Lambda, Step Functions, S3, SQS, DynamoDB)
  • Apply strong testing practices through unit, integration, and regression tests
  • Conduct code reviews, enforce coding standards and support internal users
  • Design event‑driven architectures for automated data validation and publication

SKILLS & EXPERIENCE

Required Experience

  • 2-4 years in software engineering, analytics engineering, or data science
  • Advanced Python skills and strong engineering practices
  • Hands-on AWS experience (Lambda, S3, SQS, Step Functions, ECS, DynamoDB, CloudWatch)
  • Statistical anomaly detection methods (Z‑scores, IQR, CUSUM, control charts, etc.)
  • Time-series analysis or forecasting (ARIMA, Prophet, exponential smoothing)
  • Git branching, CI/CD, automated testing/deployment workflows

CONTACT

SIMILAR
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