Salary: £40,000 - 75,000 per year Requirements:
* ###
* As an AI/MLOps Platform Engineer at Barclays, I seek candidates with:
* Proficiency in Python, especially in backend systems and infrastructure.
* Deep expertise in AWS services, including SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock.
* Proven experience in building and scaling MLOps platforms and supporting GenAI workloads in production.
* A strong understanding of secure software development, cloud cost optimization, and platform observability.
* The ability to clearly communicate complex technical concepts to both technical and non-technical audiences.
* Demonstrated leadership in setting technical direction while remaining hands-on.
* Additionally, the following skills are highly valued:
* Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes).
* A strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration.
* Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases.
* Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment.
* Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows.
* Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions.
* ###
Responsibilities:
* In this role, I expect you to:
* Design, develop, and improve software using various engineering methodologies to deliver crucial capabilities for our customers and colleagues.
* Develop and deliver high-quality software solutions using industry-aligned programming languages, frameworks, and tools, ensuring code is scalable, maintainable, and optimized for performance.
* Collaborate cross-functionally with product managers, designers, and other engineers to define software requirements and devise solution strategies, ensuring alignment with business objectives.
* Promote a culture of code quality and knowledge sharing through participation in code reviews and collaboration with peers.
* Stay informed of industry technology trends and actively contribute to our technology communities to foster excellence and growth.
* Adhere to secure coding practices to mitigate vulnerabilities and protect sensitive data.
* Implement effective unit testing practices to ensure proper code design, readability, and reliability.
* ###
Technologies:
* AI
* AWS
* Azure
* Backend
* Cloud
* Databricks
* IAM
* Kubernetes
* Python
* Support
* Machine Learning
More:
As an Assistant Vice President, I will expect you to advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. You will lead a team in performing complex tasks, setting objectives, and coaching employees. If you’re in a leadership role, I look for a clear demonstration of leadership behaviors that create an environment for colleagues to thrive.
For individual contributors, leading collaborative assignments and guiding team members through structured projects will be essential. You will also engage in complex analysis of data from multiple sources to solve problems creatively and effectively, and communicate complex information to stakeholders.
All colleagues are expected to embody the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, along with the Barclays Mindset of Empower, Challenge, and Drive. This is an exciting opportunity to be part of a transformative journey at Barclays, shaping the future of AI together.
last updated 51 week of 2025