AI Platform Engineer

Skip to main content AI Platform Engineer hackajob Glasgow, Scotland, United Kingdom Apply Join or sign in to find your next job Join to apply for the AI Platform Engineer role at hackajob Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. AI Platform Engineer hackajob Glasgow, Scotland, United Kingdom 1 week ago 25 applicants See who hackajob has hired for this role Apply Join or sign in to find your next job Join to apply for the AI Platform Engineer role at hackajob Email or phone Password Show Forgot password? Sign in Sign in with Email or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement, Privacy Policy, and Cookie Policy. Save Report this job hackajob is collaborating with Barclays to connect them with exceptional professionals for this role.Join Us as an AI Platform Engineer – Shape the Future of AI at Barclays.We’re excited to launch a groundbreaking initiative at Barclays - building a next-generation platform that empowers front-office developers (Quants and Strats) to create high-performance, AI-driven applications. As an AI Platform Engineer, you’ll play a pivotal role in designing, building, and scaling robust platform components that enable advanced AI/ML workloads across both on-premises and cloud environments.This is a hands-on engineering role where your expertise will directly influence how we deliver secure, scalable, and innovative solutions. You’ll collaborate with diverse teams, solve complex challenges, and help shape the technical direction of a platform that will transform how AI is leveraged in financial services.To be successful as an AI Platform Engineer at this level, you should have experience with: Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to technical and non-technical audiences. Demonstrated capability to guide engineering teams and influence technical strategy.Some Other Highly Valued Skills May Include Experience with MLOps platforms such as Databricks or SageMaker, 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...