Senior Software Engineer, Machine Learning Services (MLS)

UiPath; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading automation software company in Greater London is seeking a systems-level engineer to build its core machine learning platform. This role involves designing and operating a Rust-based API and collaborating with product teams to ensure high-performance and scalable solutions. Ideal candidates will have at least 5 years of experience, deep knowledge of Rust and Python, and familiarity with cloud services. This position offers a flexible work environment with opportunities for remote work.

Qualifications

• 5 years of experience in engineering and architecting large-scale distributed services.
• Deep proficiency in Rust and strong skills in Python are essential.
• Experience with containerization and cloud ecosystems is required.

Responsibilities

• Design, build and operate the core MLS platform.
• Solve performance and distributed systems problems for production workloads.
• Work with product and ML teams to build scalable infrastructure.

Skills

Rust

Python

Cloud ecosystems (Azure, AWS, GCP)

Docker

Kubernetes

Concurrency and multithreading

Job description

Life at UiPath

The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category‑leading enterprise software that unleashes that power.

To make that happen we need people who are curious, self‑propelled, generous and genuine. People who love being part of a fast‑moving, fast‑thinking growth company. And people who care about each other, about UiPath and about our larger purpose.

Could that be you?

Your Mission : Build the Engine Not Just the Car

We’re the Machine Learning Services (MLS) team at UiPath—a small, sharp group of senior engineers building the core platform that powers UiPath’s large‑scale AI and Document Understanding products.

Our world is one of distributed systems, high‑throughput model serving and complex asynchronous training workflows. We’re looking for a systems‑level engineer who wants to work on the gnarly foundational problems of a production ML platform. You’ll support a system that handles a massive volume of inference requests and orchestrates unattended model training across a diverse landscape of model architectures. This isn’t just about gluing APIs together; it’s about building the infrastructure that makes it all happen. The core platform is written in Rust for performance, correctness and fearless concurrency. ML models and services are primarily in Python. If you’re intrigued by the challenges of the software/hardware interface, OS‑level optimization and building robust multi‑tenant distributed systems, you’ll fit right in.

What You’ll Actually Do

Design, build and operate the core MLS platform. This includes our Rust‑based API gateway, Python ML compute workers and the distributed job queue that orchestrates it all.

…solve hard concurrency, performance and distributed systems problems to ensure our platform is bulletproof for high‑volume production workloads.

Work directly with product and ML science teams to understand their needs and build the scalable infrastructure required to bring their models to life—from massive GenAI models to fine‑tuned specialized classifiers.

Develop our custom‑built content‑addressable storage abstraction layer over cloud object stores (GCS, S3, Azure Blob) complete with its own garbage collection and sharding logic.

Enhance our asynchronous job‑queueing system built from the ground up on the storage layer using compare‑and‑swap primitives for atomicity. No off‑the‑shelf message broker can handle our specific needs.

Dive deep into the entire stack from Kubernetes and container orchestration through gRPC‑based service communication to the performance tuning of ONNX‑based inference on GPU‑accelerated hardware.

Write clean, efficient and rigorously tested code. We value simplicity, correctness and peer review.

What You’ll Bring to the Team

A solid track record (5 years) of engineering and architecting large‑scale distributed commercial services. Your experience speaks for itself.

Deep proficiency in a systems‑level language (Rust, C, Go). A willingness and curiosity to become an expert in Rust is essential as it’s the foundation of our core services. Strong Python skills are also critical.

Real‑world experience with cloud ecosystems (Azure, AWS or GCP) and containerization (Docker, Kubernetes). You should understand how production systems are deployed, monitored and scaled.

A firm grasp of concurrency, multithreading and asynchronous programming. You know the difference between a mutex and a channel and when not to use them.

A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real‑world problems with data structures and algorithms than your ability to recite them from a textbook.

An opinion on what makes good code and good architecture and the ability to articulate it. You should be comfortable challenging assumptions (including our own) and contributing to a culture of continuous improvement.

You’re a builder and a problem‑solver at heart.

Nice to Haves (but we can teach you)

• You've already worked with Rust in a production environment.
• Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi‑tenant high‑availability system.
• Familiarity with building ML inference services, model serialization (e.g. ONNX) and GPU programming (CUDA).
• You’ve built or worked on custom storage or job‑queueing systems before and have the scars to prove it.

Maybe you don’t tick all the boxes above, but still think you’d be great for the job. Go ahead apply anyway. The experience comes in all shapes and sizes; passion can’t be learned.

Work Flexibility

Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid office‑based and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.

EEO Statement

We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status or any other protected class. Additionally UiPath provides reasonable accommodations for candidates on request and respects applicants privacy rights. To review these and other legal disclosures visit our .

Required Experience

Senior IC

Employment Type

Full‑Time

Department / Functional Area

Engineering

Vacancy

1