AI/MLOps Platform Engineer
Listed on 2026-01-02
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Cloud Computing, Systems Engineer
Join Us in Shaping the Future of AI at Barclays.
Ensure you read the information regarding this opportunity thoroughly before making an application.We’re launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications.
As an AI/MLOps Platform Engineer, you’ll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads.
This is more than an engineering role—it’s an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale.
To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with:
- Proficiency in Python engineering skills, especially in backend systems and infrastructure.
- Deep AWS expertise, including services like Sage Maker, Lambda, ECS, Step Functions, S3, IAM, KMS, Cloud Formation, and Bedrock.
- Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production.
- Strong understanding of secure software development, cloud cost optimization, and platform observability.
- Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
- Demonstrated leadership in setting technical direction while remaining hands-on.
Some other highly valued skills may include:
- Experience with MLOps platforms such as Databricks or Sage Maker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes).
- 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., Lang Chain, Auto Gen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability.
- Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions
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 can be based out of our Glasgow or Canary Wharf office.
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…
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search: