Senior Python Engineer

London
1 day ago
Create job alert

Hungry for a challenge?

That’s good, because at Just Eat Takeaway.com (JET) we believe everything is possible, or, as we say, everything is on the table. We are a leading global online food delivery marketplace. Our tech ecosystem connects millions of active customers with hundreds of thousands of connected partners in countries across the globe.

Our mission? To empower every food moment around the world, whether it’s through customer service, coding or couriers.

The opportunity:

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.

These are some of the key ingredients to the role:

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.

What will you bring to the table?

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

At JET, this is on the menu:

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.

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we 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.

Are you ready to take your seat? Apply now!

#LI-CB2

Related Jobs

View all jobs

Senior Software Engineer

Senior FGPA Engineer

Senior Infrastructure Engineer

Senior Software Engineer

Senior Linux Infrastructure Engineer

Senior Agentic AI Consultant – Python / Full-Stack (London, Hybrid)

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Edge Computing Employers to Watch in 2026: UK and Global Companies Shaping Edge Innovation

Edge computing is transforming how data is processed by bringing compute power closer to the source of generation. With the proliferation of Internet of Things (IoT), real‑time analytics, autonomous systems, and latency‑sensitive applications, edge computing has moved from a niche discipline to a core component of digital infrastructure. In 2026, organisations that specialise in or heavily invest in edge computing are expanding their teams to build distributed systems, real‑time analytics platforms, and edge‑optimised AI. For professionals exploring opportunities on www.EdgeComputingJobs.co.uk , understanding which employers are growing, winning contracts, or securing investment is essential. This article highlights the new and high‑growth edge computing employers to watch in 2026, including UK startups, international innovators with a UK presence, and established companies shifting strategy toward edge.

How Many Edge Computing Tools Do You Need to Know to Get an Edge Computing Job?

If you’re trying to start or grow a career in edge computing, it can feel like you’re navigating a maze of tools, frameworks and platforms — Kubernetes, Docker, IoT frameworks, AWS Greengrass, Azure IoT Edge, OpenShift, TinyML toolkits, networking orchestration, real-time streaming frameworks, and on it goes. Scroll job boards and community forums and it’s easy to conclude that unless you master every buzzword imaginable, you’ll never get a job. Here’s the honest truth most edge computing hiring managers won’t necessarily say out loud: 👉 They don’t hire you because you know every edge computing tool — they hire you because you can solve real system problems using the tools you know. Tools matter, yes — but only when they support clear outcomes: reliable systems, performance at scale, secure edge deployments and real business value. So how many edge computing tools do you actually need to know to secure a job? For most edge computing roles, the answer is fewer than you think — and a lot clearer when sorted by fundamentals and roles. This guide shows you what matters, what doesn’t, and how to focus your time wisely so you come across as capable, confident and employable.

What Hiring Managers Look for First in Edge Computing Job Applications (UK Guide)

In today’s fast-evolving tech landscape, edge computing is one of the most sought-after fields — blending distributed systems, embedded systems, networking, cloud, IoT, data and real-time processing. But that also means hiring managers are highly selective. They scan applications fast and look for signals of relevance, impact, technical depth and real-world delivery long before they read every line. This guide demystifies what hiring managers in edge computing look for first in your application — so you can tailor your CV, portfolio and cover letter to jump out of the stack. Whether you’re targeting edge systems roles, embedded IoT edge jobs, edge-native data roles, edge platform engineering or edge-AI positions, this checklist will help you position your experience in a way hiring managers can trust immediately.