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Software Engineer - Data Science/Machine Learning

Job LocationLondon
EducationNot Mentioned
Salary60,000 - 70,000 per annum
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent,full-timeB

Job Description

Job Responsibilities

  • The individual in this role will design and implement technical solutions to support a range of Software Engineering projects, with a focus on Data Science, Data Engineering, and Machine Learning.
  • You must be capable of solving a range of technical data challenges, each expecting you to assess the requirements, propose a solution and manage delivery.
  • Responsible for design and delivery of a range of technical software engineering projects, from small proof of concepts to building software systems to support the exchange of data sets and associated Machine Learning algorithms.
  • Building APIs to access database and data application structures to enable automated aggregation and transfer of information between systems.
  • Responsible for managing and maintaining technical cloud infrastructure.
Skills Required
  • Several years working within a commercial environment is essential.
  • Familiarity with Devops principles and CI/CD approaches is preferable.
  • Experience of software development in Python, as well as Bash scripts is essential. Knowledge of JavaScript, and Front End technologies is desirable.
  • Experience of building APIs to make Data available using REST and other approaches is essential. Experience with Python frameworks such as Flask and Django technologies is desirable.
  • Experience of data storage and analysis technologies including SQL is essential. An understanding of NoSQL Databases, key-value stores and graph databases such as Neo4j is desirable.
  • Experience of Amazon Web Services/Azure and other Cloud infrastructure providers, Docker and container technologies is desirable.
  • Experience of Machine Learning libraries such as Scikit Learn is desirable.
  • Experience with using Infrastructure as Code tools such as Terraform is desirable.

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