Software Engineer MLOps

Job Description

Purpose of the role

To support the implementation of major changes and improvements to the organisations IT service management practices by driving strategic initiatives to modernize, transform and future-proof how the bank delivers and supports technology services. 

Accountabilities

• Establishment of KPIs to measure the success and impact of specific transformation programmes, and actively monitor KPIs to identify the ongoing effectiveness of the initiative, improvement areas with the IT service management framework, and mitigate any potential issues.
• Analysis of emerging IT service management tools and platforms to discover if they can support the banks transformation goals and future needs.
• Manage the selection and seamless implementation of new tools and platforms into the IT service management processes, while overseeing the migration of data from legacy systems, to improve system efficiency and reduce manual workload.
• Development and communication of change management strategic initiatives, visions and goals through workshops, sessions, and various communication channels to highlight the benefits and impact of modernising, transforming, and future-proofing the way the bank delivers and supports its technology services.
• Prioritisation of the bank’s initiatives based on their impact on the bank’s goals, resource availability and feasibility, and develop and monitoring a clear execution plan for each transformation project to ensure a successful implementation.

Assistant Vice President Expectations

• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Join us as Software Engineer (MLOps) at Barclays, where you'll help design, build and deploy artificial intelligence (AI) and machine learning (ML) solutions that will help the organisation achieve its strategic objectives, while ensuring that projects are delivered to a high quality and in compliance with regulatory requirements and internal policies and procedures.

To be successful as a Software Engineer working in MLOps you should have skills in:

• Python (or other relevant programming languages), Public Cloud and the Software Development Lifecycle: experience of working with the technologies that are part of a modern data technology stack, including Python, AWS, Azure or Google Cloud. You should also be comfortable working against

• Communication Skills: Ability to interpret business and stakeholder requirements and translate these into technical requirements and vice versa the ability to explain your technical work to both technical and non-technical stakeholders and colleagues.

Some other highly valued skills may include

• DevOps and MLOps: an understanding of modern DevOps practices in automation, infrastructure-as-code and CI/CD (e.g GitLab). It will be beneficial if you know how these practices apply to machine learning and AI projects.

• Collaboration and Team Work: You will be working in a multi-disciplinary team and must collaborate with a variety of partners across the organisation. Being able to work effectively with others is a key requirement.

•  ML and AI: an understanding of data science, from the point of view of algorithms, data preparation and model deployment. Experience with data processing engines like Spark and ML specific tooling like Sagemaker, Kubeflow, Azure ML etc is a bonus (but not required).

You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills

This role will be based in our Glasgow office

.