Developer, ML API Platform
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Role details
Tech stack
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Requirements
This software engineering role sits at the intersection of powerful analytics, a valuable repository of real-world data, and an internet-facing API using GraphQL. You’ll build the core services which enable advanced queries via a powerful API of your design.
To join this capable, engaged and friendly team of software engineers, you’ll need a primarily software engineering skillset. Additional knowledge or interest in machine learning, big data, statistics and/or predictive analytics is relevant, but not essential.
The requirements:
- Extensive software engineering skills, including fluency in Python and potentially C#, JavaScript, TypeScript and/or React, one of which may be a specialty.
- Fluency in different software development paradigms which may include functional, procedural and object-oriented, through experience, will give a good grounding for mapping between a structured hierarchical query model and different execution subsystems, some of which may employ machine learning. An interest in compilers or DSLs may do the same.
- An appreciation of good web API design practice and execution - considering its surface area, specificity, query volumes, metering and similar concerns.
- Plus familiarity with relational databases and classical queries, joins, etc.
Experience of GraphQL specifically, and/or the AWS cloud, Docker containers and/or Elasticsearch are also advantageous.
Benefits & conditions
The successful candidate will become part of a talented community of developers with offices in central Cambridge. Flexible work patterns and good commute routes are available via cycle, rail and road. Salaries are generous and additional benefits are included.
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