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Senior Python Engineer

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Just Eat Takeaway.com

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Location:
United Kingdom , Fleet Place Office

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

A Senior Engineer opportunity within our Enterprise AI team. Working with a group of other Engineers to design, build, and deploy cutting-edge AI-powered solutions that drive business value across the organisation. The Senior Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production-grade deployments.

Job Responsibility:

  • Design, develop, and deploy high-quality, scalable software solutions, focusing on AI-enabled applications and infrastructure
  • Lead and participate in technical projects and deployments of AI systems
  • Provide guidance and mentoring to other team members on best practices in AI engineering
  • Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI
  • Optimise existing model serving and data pipelines to meet changing performance and security requirements
  • Hold requirements gathering sessions with business stakeholders and data science teams
  • Lead functional projects or work streams focused on AI infrastructure and tooling

Requirements:

  • Experience working with cloud platforms like AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery)
  • Strong experience in Python and fluency in another language
  • Knowledge of Infrastructure as Code tools (e.g., CloudFormation, Terraform, Ansible, Serverless Framework)
  • Enjoy automating processes
  • Knowledge of containers (Docker, Container Orchestration like Kubernetes/ECS/GKE)
  • A genuine interest in and at least foundational experience with AI/ML concepts and technologies, demonstrating an eagerness to grow into a specialised AI Engineering role
  • Proven track record of delivering high-quality work and driving forward best practices in software engineering
  • Stays up to date with new technology in the AI space

Nice to have:

  • Direct experience with advanced AI tools and platforms, such as Amazon Bedrock or Google Vertex AI
  • Familiarity with frameworks for building complex, multi-step generative AI applications, like LangGraph
  • Experience with Agent-to-Agent (A2A) communication or coordination patterns in AI systems
  • Hands-on experience leveraging AI-powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation
  • Knowledge of or experience with MCP to integrate LLMs with external data sources and tools

Additional Information:

Job Posted:
March 18, 2026

Employment Type:
Fulltime
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