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- Tasks: Design and evaluate cutting-edge ML models for innovative AI-driven financial solutions.
- Company: Join Bloomberg, a leader in AI technology and financial data analytics.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make a real impact in AI while collaborating with top experts in the field.
- Qualifications: Ph.D. or MSc in relevant fields with strong ML and software engineering skills.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
The predicted salary is between 43200 - 72000 £ per year.
Location: London
Business Area: Engineering and CTO
Ref #: 10049298
Description & Requirements:
Bloomberg’s Engineering AI department has 400+ 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 conferences 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
We give back to the technology community and you can read more about our outreach at: Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
Senior ML Research Engineer - Artificial Intelligence London, GBR Posted today employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Research Engineer - Artificial Intelligence London, GBR Posted today
✨Network Like a Pro
Get out there and connect with folks in the AI and ML space! Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your projects, especially those related to ML and AI. This will give potential employers a taste of what you can bring to the table.
✨Tailor Your Approach
When reaching out to companies like Bloomberg, make sure to tailor your message. Highlight how your skills align with their needs, especially in areas like anomaly detection or financial analytics. Personalisation goes a long way!
✨Apply Through Our Website
We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our innovative team!
We think you need these skills to ace Senior ML Research Engineer - Artificial Intelligence London, GBR Posted today
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior ML Research Engineer role. Highlight your experience with Machine Learning, especially any projects that align with AI innovations. We want to see how your skills can contribute to our exciting initiatives!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for Bloomberg. Don’t forget to mention any relevant publications or projects that showcase your expertise.
Showcase Your Technical Skills: In your application, be sure to highlight your proficiency in software engineering and your understanding of data structures and algorithms. We’re looking for someone who can not only design and evaluate ML models but also write production-quality code.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our company culture there!
How to prepare for a job interview at Bloomberg L.P.
✨Know Your ML Stuff
Make sure you brush up on your Machine Learning knowledge, especially around classical techniques and deep learning. Be ready to discuss specific algorithms you've worked with and how they apply to real-world problems, like those mentioned in the job description.
✨Show Off Your Coding Skills
Since you'll be writing production-quality code, practice coding challenges that focus on data structures and algorithms. Familiarise yourself with the tools and languages relevant to the role, and be prepared to demonstrate your coding prowess during the interview.
✨Communicate Clearly
Excellent communication is key! Be ready to explain complex concepts in a way that non-engineers can understand. Think about examples from your past experiences where you successfully collaborated with cross-functional teams.
✨Stay Current with AI Trends
Bloomberg values innovation, so make sure you're up-to-date with the latest research in AI. Bring insights from recent papers or conferences you've attended, and be prepared to discuss how you can incorporate new findings into their existing models.