Senior Machine Learning Research Engineer - Artificial Intelligence

Bloomberg LP; London; On-site; GBP 70,000 - 120,000; Full time

Job summary

A leading company in financial technology seeks a Senior ML Research Engineer to contribute to innovative AI-driven solutions. The role involves designing and evaluating machine learning models, collaborating with teams, and staying updated with the latest AI research. Ideal candidates will possess a Ph.D. or MSc in relevant fields and have a strong background in software engineering and machine learning.

Qualifications

• Practical experience with Machine Learning problems.
• Familiarity with Classical ML, Deep Learning techniques.
• Understanding of data structures and algorithms.

Responsibilities

• Collaborate on production systems and maintain production quality code.
• Design, train, experiment, and evaluate ML models.
• Represent Bloomberg at scientific and industry conferences.

Skills

Machine Learning

Deep Learning

Statistical Modeling

Software Engineering

Communication

Education

Ph.D. in ML, NLP or relevant field

MSc in CS, ML, Math, Statistics, Engineering

Job description

Description & Requirements

Bloomberg's Engineering AI department has 300+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

As an ML Research Engineer, you will be working on exciting initiatives such as anomaly detection in bond time series data, dividend forecasting, gas emission estimation, and financial impact of controversies.

Join us as a Senior ML Research Engineer and 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 conference and in open-source communities
• Publish product and research findings in documentation, whitepapers or publications to leading academic venues

We are looking for a Senior ML Research Engineer with the following experience:

• Practical experience with Machine Learning problems, and a familiarity with Classical Machine Learning, Deep Learning and Statistical Modeling techniques
• Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 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 and 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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