MLOps Engineer

Job Description

Purpose of the role

To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. 

Accountabilities

• Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
• Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
• Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
• Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
• Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
• Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• 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 MLOps Engineer 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 MLOps Engineer, you should have experience with

• 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

.