Senior Software Engineer - London, United Kingdom - eFinancialCareers
Description
In the Artificial Intelligence group, we build data-driven, highly distributed high throughput systems, which are collectively called billions of times a day.
Our engineers are responsible for architecting and implementing these services end-to-end overcomingunique challenges that come with machine learning systems in the financial domain.
The AI Group is the central engineering group with 200+ researchers and engineers working together to build these data-driven customer-facing products, as well as AI infrastructureand algorithms used by engineers across the company.
In addition, we contribute to open source; contributions we have made and work with include Solr, Koan, KFServing, Cloud Native Buildpacks and PyTorch Lightning that directly impact our production services.
Broadly, we are looking for colleagues to who arepassionate about software engineering and who want to learn more about:- Parallel and distributed systems like Kubernetes, OpenMPI, Apache Kafka,
- Applied Machine Learning frameworks like PyTorch, scikitlearn, TensorFlow, and
- Datadriven frameworks like Apache Spark, Apache Solr, Pandas, Apache Hadoop.
We'll trust you to:
- Design, experiment, and evaluate software systems,
- Write, test, and maintain productionquality code,
- Represent Bloomberg at conferences and opensource communities,
- Demonstrate technical leadership by owning crossteam projects, and
- Build the libraries and frameworks that support fault tolerant and testable systems.
You'll need to have:
- 4+ years working with an objectoriented programming language (C/C++, Python, Java, etc.)
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- Proficiency in software development life cycle including backend systems
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 maternity/parental leave, protected veteran status, status as a victim of domestic violence,or any other classification protected by applicable law.
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