Senior Mlops Engineer - London, United Kingdom - eFinancialCareers

eFinancialCareers

Verified Company

London, United Kingdom

3 weeks ago

Posted by:

Tom O´Connor

beBee Recruiter

Description

The AI Group is the central engineering group responsible for driving Machine Learning (ML) adoption at Bloomberg, with 200 researchers and engineers working together to provide clients with the best-in-class news, research, market data, and analyticsusing state of the art machine learning technology We directly impact a wide variety of Bloomberg's flagship products, including news, research, pricing, our communications platforms and search and discovery tools.

We work on a variety of ML disciplines, includingnatural language processing, information retrieval, time series analysis, and recommender systems.

What We Do

What We Need From You

Architecting, building, and diagnosing production ML systems
Defining and providing strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
Interfacing with both ML experts and platform engineers to understand workflows, pinpoint and resolve inefficiencies, and inform the next set of features for the platforms
Collaborating with opensource communities and internal platform teams to build a cohesive MLOps experience
Troubleshooting and debugging user issues
Providing operational and userfacing documentation

Colleagues who excel in this role often exhibit these qualities:

Curiosity to solve new problems and keep learning new technologies
Passion for the engineering behind machine learning, and scaling it
Industry experience with machine learning teams
Proficiency in programming (Go, Python, JavaScript or similar) and willingness to learn new technologies as needed
Working knowledge of common ML frameworks such as PyTorch, TensorFlow, scikitlearn, ONNX, etc.
Prior experience with container technologies like Docker, Kubernetes, Buildpacks, etc.
Experience with cloud providers such as AWS, GCP or Azure
Willingness to collaborate with colleagues to achieve repeatable high quality outcomes as a team.

Our Open-Source Commitment

Our team makes extensive use of open source and is deeply involved in a number of communities such as PyTorch, PyTorch Lightning, Hugging Face, Solr, Kubernetes, Kubeflow, KServe, Apache Kafka, Apache Spark, Argo, Buildpacks, and other cloud-native MLOps technologies.

From technical governance to upstream collaboration, we are committed to enhancing the impact and sustainability of open source.
In this role, you'll be expected to interact with global open source project teams and communities. If you have a desire to use, develop, and lead open source software projects, we encourage you to apply. To learn more about our activities in the open sourcecommunity, head over to our Tech at Bloomberg site.
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 maternity/parental leave, protected veteran status, status as a victim of domestic violence,or any other classification protected by applicable law.