AI/MLOps Platform Engineer (GLASGOW)

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Job Overview

The position of AI/MLOps Platform Engineer at Barclays Bank PLC offers a fantastic opportunity for those looking to contribute to cutting-edge technology. As part of an exciting initiative, the role involves designing, building, and scaling platform components that facilitate the development of high-performance, AI-driven applications. The employer aims to empower developers—specifically Quants and Strats—by creating the infrastructure necessary for machine learning and generative AI workloads.

Key Responsibilities

As an AI/MLOps Platform Engineer, you will play a pivotal role involving a range of responsibilities:

• Designing and Developing: Create software solutions that provide technology capabilities for users. This involves employing various engineering methodologies for optimal performance.
• Collaborative Development: Work cross-functionally with team members, including product managers and designers. You will define software requirements, create solution strategies, and ensure seamless integration of the software with overall business objectives.
• Code Quality: Promote a culture of high coding standards through activities like code reviews. Your focus will be on developing scalable and maintainable code while adhering to secure software practices.
• Technology Trends: Keep informed about industry trends and innovations, thereby fostering a culture of technical excellence within the organization.

Required Skills and Qualifications

To be successful in this role, candidates should have the following skills:

• Proficiency in Python: Strong engineering skills, particularly with backend systems and infrastructure, using Python is essential.
• AWS Expertise: Deep understanding of Amazon Web Services, notably systems like SageMaker, Lambda, ECS, and S3. This knowledge is crucial for building and scaling MLOps platforms.
• Experience in MLOps Platforms: Knowledge of tools such as Databricks or SageMaker is highly valued, alongside familiarity with hybrid cloud strategies.
• Strong Communication Skills: Ability to articulate complex technical concepts to both technical and non-technical audiences is vital, which aids in collaboration and understanding among teams.
• Demonstrated Leadership: The capacity to set technical direction while continuing hands-on contributions is encouraged. This includes assessing critical skills relevant to risk management, change management, and strategic thinking.

Additional highly valued skills include a solid understanding of Large Language Models (LLMs) and Small Language Models (SLMs), expertise in model training and deployment using Hugging Face tools, and experience with new frameworks for AI workflows.

Work Environment

The AI/MLOps Platform Engineer position can be based out of either Glasgow or Canary Wharf office. This flexibility allows for a potentially remote work arrangement, providing options that may benefit work-life balance.

Leadership and Expectations

As an Assistant Vice President, those in this role are expected to:

• Advise and influence decision-making processes.
• Collaborate closely with various business divisions to implement operational strategies.
• Lead a team or, as an individual contributor, guide collaborative assignments while encouraging the development of team members.

The four LEAD behaviors—Listen, Energize, Align, Develop—illustrate the leadership expectations at Barclays, fostering an environment where colleagues can thrive and deliver exceptional results.

Cultural Fit

All employees at Barclays are encouraged to embody their values of Respect, Integrity, Service, Excellence, and Stewardship. The emphasis on these values supports the moral compass of the organization and aims to ensure that actions align with collective ethics.

Compensation and Benefits

While specific figures for salary were not disclosed, roles of this nature at established institutions like Barclays typically include competitive compensation packages along with additional benefits, which may include healthcare, retirement plans, and opportunities for professional development. Candidates are encouraged to inquire about salary expectations during the interview process to gain a complete understanding of the offer.

Conclusion

In summary, the AI/MLOps Platform Engineer position at Barclays Bank PLC represents a significant opportunity for capable individuals looking to engage in groundbreaking AI technology. With responsibilities centered around developing robust solutions and collaborating across departments, this role suits candidates with strong technical abilities, leadership skills, and a commitment to continuous improvement. Candidates interested in this position are urged to reflect on their qualifications and readiness for the demands of the building and scaling of AI-driven applications.

This job offer was originally published on jooble.com