Senior ML Research Engineer

Salary: £55,000 - 95,000 per year

Requirements:

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• We are looking for a Senior ML Research Engineer with the following experience:
• Practical experience with Machine Learning problems, along with familiarity in Classical Machine Learning, Deep Learning, and Statistical Modeling techniques.
• A Ph.D. in ML, NLP, or a relevant field, or an MSc in CS, ML, Math, Statistics, Engineering, or related fields, coupled with previous relevant work experience.
• Proficiency in software engineering.
• An understanding of Computer Science fundamentals, such as data structures and algorithms, and a data-oriented approach to problem-solving.
• Excellent communication skills, with the ability to collaborate with engineering peers as well as non-engineering stakeholders.
• A track record of authoring publications in top conferences and journals is a strong plus.
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Responsibilities:

• As a Senior ML Research Engineer, you will have the opportunity to:
• Collaborate with colleagues on production systems and write, test, and maintain production-quality code.
• Design, train, experiment, and evaluate ML models, algorithms, and solutions.
• Demonstrate technical leadership by owning cross-team projects.
• Stay current with the latest research in AI and incorporate new findings into our models and methodologies.
• Represent Bloomberg at scientific and industry conferences and in open-source communities.
• Publish product and research findings in documentation, whitepapers, or publications to leading academic venues.
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Technologies:

• AI
• Machine Learning
• CTO

More:

At Bloomberg, we foster a transparent and efficient financial marketplace powered by technology that makes over 35 million financial instruments searchable, discoverable, and actionable across global capital markets. Our Engineering AI department consists of over 350 AI practitioners developing highly sought-after products. We have been building AI applications since 2009, focusing on high accuracy and low latency to assist in processing and organizing large volumes of structured and unstructured information. As part of your role, you will work on initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and analyzing the financial impact of controversies. We are committed to providing reasonable adjustments for qualified individuals with disabilities, so please let us know if you require accommodations during the application process or while performing your job.

last updated 33 week of 2026