Salary: £50,000 - 80,000 per year
Requirements: - Experience working with cloud platforms such as AWS (EC2, ECS, S3, Lambda, Fargate, DynamoDB/RDS) or GCP (Compute Engine, Cloud Storage, Cloud Functions, BigQuery).
- Strong programming skills, with extensive experience in Python and fluency in another language.
- Knowledge of Infrastructure as Code tools such as CloudFormation, Terraform, Ansible, or Serverless Framework.
- Enjoyment of automating processes.
- Knowledge of containers, including Docker and container orchestration tools such as Kubernetes, ECS, or GKE.
- Genuine interest in AI/ML concepts and technologies, with at least foundational experience and eagerness to grow into a specialised AI Engineering role.
- Proven track record of delivering high-quality work and advancing software engineering best practices.
- Ability to work independently and solve complex problems.
- Keeps 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.
- Nice to have: Familiarity with frameworks for building complex, multi-step generative AI applications, such as LangGraph.
- Nice to have: Experience with Agent-to-Agent (A2A) communication or coordination patterns in AI systems.
- Nice to have: Hands-on experience using AI-powered development tools such as GitHub Copilot, Kiro, or Cursor to enhance productivity and code generation.
- Nice to have: Knowledge of or experience with MCP to integrate LLMs with external data sources and tools.
Responsibilities: - Design, develop, and deploy high-quality, scalable software solutions focused on AI-enabled applications and infrastructure.
- Lead and participate in technical projects and AI system deployments.
- Guide and mentor team members on AI engineering best practices.
- Apply practices such as MLOps and AIOps to improve AI-related products, services, and processes.
- 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.
- Deliver a roadmap of improvements across the full lifecycle of AI applications, from initial prototyping to production-grade deployments.
Technologies: - AI
- AWS
- Lambda
- Ansible
- BigQuery
- Cloud
- Copilot
- Cursor
- Docker
- EC2
- GCP
- GitHub
- Kubernetes
- MCP
- MLOps
- Model Serving
- Python
- Security
- Serverless
- Terraform
More:
We are Just Eat Takeaway.com, a leading global online delivery platform connecting tens of millions of customers with restaurant, grocery, and convenience partners. Our vision is to empower everyday convenience. In this Senior AI Engineer role, youll join our Enterprise AI team and work with fellow AI Engineers to build AI-powered solutions that deliver business value across our organisation. We offer an international, dynamic, fast-paced, supportive culture focused on growth, collaboration, customer choice, and celebrating successes. We are committed to inclusion, diversity, and belonging, and to helping every employee feel welcome and able to bring their whole self to work.
last updated 41 week of 2026