Machine Learning Developer

3 weeks ago


London, Greater London, United Kingdom Oxford Knight Full time
About Oxford Knight

Oxford Knight is a cutting-edge financial technology company that utilizes machine learning tools to drive innovation across the firm. With a focus on generative AI, our team develops and provisions a cutting-edge platform, collaborating closely with company-wide teams to deliver high-impact solutions.

The Machine Learning Technology team exists at the crossroads of finance and AI engineering, operating in a rapidly progressing space. As a result, we offer a unique opportunity for talented engineers to shape the technology landscape and have a high impact early on.

Role Summary

We are seeking an experienced Quantitative Analytics Specialist to join our Machine Learning Technology team. The successful candidate will have a strong background in quant development engineering, with experience working with large data sets and proficiency in Linux.

This is a fantastic opportunity for someone who wants to work on complex problems, develop new skills, and contribute to the growth of our dynamic team.

Tech Stack

Oxford Knight uses a modern data-science stack, including Python, Java, and C++. Our core systems run on Linux, and we use Docker, Kubernetes, and Airflow to streamline deployments. We also leverage OpenFin and React for front-end development.

We value technical excellence and encourage our team members to explore new technologies and share their knowledge with others.

What You Will Get
  • A competitive salary of $120,000 per year.
  • A comprehensive benefits package, including pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave, and long-service leave.
  • A flexible working environment, with regular social events and opportunities for professional development.

We are proud to be a Signatory of the Women in Finance Charter and committed to equality of opportunity. If you're passionate about technology and want to make a real impact, we'd love to hear from you.



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