Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday
Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday

Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join us to architect and build cutting-edge AI platforms for innovative financial solutions.
  • Company: Bloomberg is a leader in financial technology, enhancing market transparency with AI-driven products.
  • Benefits: Enjoy a collaborative culture, remote work options, and opportunities for professional growth.
  • Why this job: Be part of a dynamic team shaping the future of AI in finance with impactful projects.
  • Qualifications: Experience in programming, cloud-native platforms, and CI/CD tools; degree in relevant field preferred.
  • Other info: Bloomberg values diversity and is committed to an inclusive workplace.

The predicted salary is between 43200 - 72000 £ per year.

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. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive, integrated, and managed AI development life cycle to enable the building and maintenance of our AI systems. Our teams make extensive use of open source technologies such as, Kubernetes, Kubeflow, KServe, 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. Join the AI Group as a Senior ML Platform Engineer and you will have the opportunity to: Architect, build, and diagnose multi-tenant AI platform systems Work closely with AI application teams to design seamless workflows for continuous model training, inference, and monitoring Work with AI experts to understand workflows, pinpoint, and resolve inefficiencies, and to inform the next set of features for the platforms Collaborate with open-source communities and AI application teams to build a cohesive MLOps experience Design CI/CD automation frameworks that incorporate regulatory requirements Develop cloud-native deployment patterns for AI systems across environments Troubleshoot and debug user issues Provide operational and user-facing documentation We are looking for a Senior ML Platform Engineer with: Proven years of experience working with an object-oriented programming language (Python, Go, etc.) Experience designing cloud-native, distributed platforms Strong knowledge of Kubernetes, Argo, and container orchestration technologies Previous experience with modern CI/CD tools and GitOps workflows Familiarity with implementing automation for model development lifecycles A proactive mentality and ability to collaborate with peers, stakeholders, and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai 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 #J-18808-Ljbffr

Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday employer: Bloomberg L.P.

Bloomberg is an exceptional employer, offering a dynamic work environment in London where innovation thrives. With a strong commitment to employee growth, we provide opportunities for collaboration with top AI experts and access to cutting-edge technologies, fostering a culture of transparency and inclusivity. Our focus on open-source contributions and community outreach further enhances the rewarding experience of working here, making it an ideal place for those passionate about advancing AI solutions.
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Contact Detail:

Bloomberg L.P. Recruiting Team

amer_recruit@bloomberg.net

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Kubernetes and Argo. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.

✨Tip Number 2

Engage with open-source communities related to MLOps and AI platforms. Contributing to projects or discussions can not only enhance your knowledge but also demonstrate your commitment to the field, which Bloomberg values highly.

✨Tip Number 3

Network with current or former employees of Bloomberg, especially those in the AI department. They can provide insights into the company culture and expectations, which can be invaluable during interviews.

✨Tip Number 4

Prepare to discuss your experience with CI/CD automation frameworks and how you've implemented them in past projects. Being able to articulate your thought process and problem-solving skills will be crucial in demonstrating your fit for the role.

We think you need these skills to ace Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday

Proficiency in Python or Go
Experience with Kubernetes and container orchestration
Knowledge of Argo and cloud-native MLOps technologies
Familiarity with CI/CD tools and GitOps workflows
Understanding of distributed systems architecture
Ability to design automation for model development lifecycles
Strong problem-solving skills
Experience in troubleshooting and debugging
Excellent collaboration and communication skills
Understanding of data structures and algorithms
Experience with multi-tenant platform systems
Ability to create operational and user-facing documentation
Proactive mentality and teamwork orientation
Degree in Computer Science, Engineering, Mathematics, or equivalent experience

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior ML Platform Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Kubernetes, CI/CD tools, and cloud-native platforms.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in object-oriented programming languages, cloud-native platforms, and any previous work with AI systems or MLOps technologies.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to architect and build AI platforms, and how you can contribute to Bloomberg's mission.

Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and free of mistakes, as attention to detail is crucial in this field.

How to prepare for a job interview at Bloomberg L.P.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with object-oriented programming languages like Python or Go. Highlight specific projects where you've designed cloud-native platforms or worked with Kubernetes and CI/CD tools.

✨Understand the AI Landscape

Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to Bloomberg's work. Be ready to discuss how you can contribute to their innovative solutions using technologies like transformers and large language models.

✨Demonstrate Collaboration Skills

Bloomberg values teamwork, so be prepared to share examples of how you've successfully collaborated with peers and stakeholders. Discuss any experiences where you've worked with open-source communities or contributed to MLOps practices.

✨Prepare for Problem-Solving Questions

Expect technical questions that assess your problem-solving abilities. Practice troubleshooting scenarios related to AI systems and be ready to explain your thought process clearly and logically.

Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday
Bloomberg L.P.
Location: London
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  • Senior ML Platform Engineer - Artificial Intelligence London, GBR Posted yesterday

    London
    Full-Time
    43200 - 72000 £ / year (est.)
  • B

    Bloomberg L.P.

    5000-10000
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