AI/MLOps Platform Engineer

Embark on a Career-Defining Journey: AI/MLOps Platform Engineer at Barclays

Barclays is at the forefront of an ambitious initiative to revolutionize AI development. If you're a passionate and skilled engineer eager to shape the future of artificial intelligence, this opportunity is for you. This role offers a unique chance to build and scale next-generation platform components that empower developers, including Quants and Strats, to create cutting-edge, AI-driven applications.

As an AI/MLOps Platform Engineer, you won't just be an engineer; you'll be a key architect in this transformation. You'll work hands-on, developing the critical infrastructure and tooling that underpins the entire machine learning and generative AI lifecycle. This is your chance to influence technical direction, collaborate with diverse teams, and define how AI and GenAI are delivered at scale within a leading financial institution.

Key Advantages for Aspiring Candidates:

• Influence and Impact: Play a pivotal role in a groundbreaking initiative, directly impacting the future of AI within Barclays.
• Cutting-Edge Technology: Work with advanced AI and GenAI technologies, including deep AWS expertise and leading MLOps platforms.
• Skill Development: Opportunity to hone your Python backend and infrastructure skills, deepen your cloud expertise, and gain invaluable experience in MLOps and GenAI deployment.
• Collaborative Environment: Engage with cross-functional teams, including product managers, designers, and fellow engineers, fostering a culture of knowledge sharing and technical excellence.
• Career Growth: This role offers a clear path for leadership and influence, whether through leading complex technical assignments or advising on strategic decisions.
• Global Reach: Be part of a dynamic team with the potential to impact a global organization.

What Makes This Opportunity Stand Out:

This position is designed for individuals who thrive on building robust, scalable, and secure AI platforms. You'll be instrumental in enabling developers to leverage the power of AI and GenAI effectively and responsibly.

Essential Skills and Experience:

• Core Engineering Prowess: Strong Python engineering skills, particularly in backend systems and infrastructure development.
• Cloud Mastery: Deep expertise in AWS services such as SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock.
• MLOps & GenAI Productionization: Proven experience building and scaling MLOps platforms and successfully deploying GenAI workloads in production environments.
• Security and Efficiency: A solid understanding of secure software development practices, cloud cost optimization strategies, and platform observability.
• Communication Excellence: The ability to articulate complex technical concepts clearly to a variety of audiences.
• Hands-On Leadership: Demonstrated ability to set technical direction while remaining actively involved in implementation.

Highly Valued Skills (These will set you apart):

• Advanced MLOps Platforms: Experience with platforms like Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes).
• AI Infrastructure Specialization: Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration.
• LLM/SLM Expertise: Proficiency in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and enterprise deployment.
• Open Source Contributions: Hands-on experience with Hugging Face libraries and tools.
• Agentic Frameworks: Knowledge of frameworks like LangChain and AutoGen for building autonomous AI workflows.
• Emerging Trends: Awareness of the latest advancements in GenAI platforms, open-source MLOps, and cloud-native AI solutions.

Considering Your Career Path:

This role is ideal for experienced engineers who are looking to specialize in the rapidly growing field of AI/MLOps. It provides a platform to deepen your technical expertise, gain exposure to enterprise-level AI implementation, and develop leadership capabilities. Your contributions will be crucial in driving innovation and ensuring the secure and efficient delivery of AI solutions.

Location:

This position is based in either our Glasgow or Canary Wharf office.

Barclays Values and Mindset:

All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship. You will also be encouraged to demonstrate the Barclays Mindset: Empower, Challenge, and Drive.