Senior AI Engineer

Just Eat Takeaway.com; London Borough of Barnet; Sur place; GBP 90 000 - 130 000; Plein temps

Résumé du poste

Just Eat Takeaway.com is seeking a Senior AI Engineer in the Enterprise AI team. You will design, build and deploy AI-powered solutions that deliver business value across the organisation, focusing on full lifecycle from prototyping to production.

You will lead projects, mentor teammates, optimise data pipelines, and apply best practices in AI engineering, including MLOps and AI infrastructure. The role involves collaboration with business stakeholders and data science teams.

Qualifications

• Proven experience designing and deploying AI-powered solutions.
• Strong Python development skills and cloud experience.
• Familiarity with IaC tools and container orchestration.
• Experience with MLOps, AI tooling, and data pipelines.

Responsabilités

• Design and deploy scalable AI-enabled applications and infrastructure.
• Lead AI projects and deployments across the organisation.
• Mentor teammates on AI engineering best practices.
• Improve product/services with AI tooling and pipeline optimisations.
• Collaborate with stakeholders to gather requirements and deliver AI solutions.
• Lead projects focused on AI infrastructure and tooling.

Connaissances

Python

Cloud platforms

IaC

Containers

AI/ML concepts

MLOps

Mentoring

Outils

AWS

GCP

Terraform

Docker

Kubernetes

Description du poste

Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online delivery platform, and our vision is to empower everyday convenience.

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role:

A Senior AI Engineer opportunity within our Enterprise AI team. Working with a group of other AI Engineers to design, build, and deploy cutting-edge AI-powered solutions that drive business value across the organisation.

The Senior Enterprise AI Engineer is responsible for delivering a roadmap of improvements, focusing on the full lifecycle of AI applications, from initial prototyping to production-grade deployments.

Key Responsibilities:

• 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.

Your Profile & Recommended Experience:

• Experience working with cloud platforms like 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 (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.


• Works independently and is able to solve complex


• 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

At JET, this is how we play

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.

Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice. Every time a customer decides where to order, they're picking a side.

At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.

Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

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