Senior Machine Learning Engineer

Weare5vtech; Remote; GBP 150,000; Full time

Job summary

A leading AI infrastructure company is seeking a Senior Machine Learning Engineer to develop production-grade AI systems. You will work with technologies like PyTorch, TensorFlow, and Hugging Face, transforming research prototypes into scalable solutions across various environments. The role requires 5+ years in applied ML, and strong skills in optimization and systems programming. This is an exciting opportunity to work on real-world AI deployments in a remote capacity.

Qualifications

• 5+ years in applied ML, ML engineering, or production AI systems.
• Deep hands-on experience with PyTorch, TensorFlow, or Hugging Face.
• Proven track record deploying models across cloud, edge, and on-device environments.

Responsibilities

• Convert research prototypes into scalable, production-grade AI systems.
• Develop, fine-tune, and optimise models using PyTorch, TensorFlow, and Hugging Face.
• Apply model optimisation techniques such as quantisation, pruning, and distillation.

Skills

PyTorch

TensorFlow

Hugging Face

C

C++

Rust

Job description

Senior Machine Learning Engineer

Remote

Full Time

$200,000 pa plus equity

We are partnering with a next-generation AI infrastructure company building a distributed, privacy-first AI platform designed for enterprise and public sector environments.

They are seeking a Senior Machine Learning Engineer to join their growing team, working at the intersection of machine learning, systems engineering, and production deployment.

This role is hands-on and execution-focused. You will take research-grade models and turn them into robust, production-ready AI systems capable of running across cloud, edge, and constrained hardware environments.

Key Responsibilities

• Convert research prototypes into scalable, production-grade AI systems
• Develop, fine-tune, and optimise models using PyTorch, TensorFlow, and Hugging Face
• Apply model optimisation techniques such as quantisation, pruning, distillation, and hardware-specific acceleration
• Engineer parameter-efficient adaptation strategies (LoRA, PEFT) and on-device inference pipelines
• Work across multi-modal AI systems (vision, audio, language)
• Develop performance-critical components using C, C++, or Rust
• Optimise AI systems for distributed, resource-constrained, and offline environments

Required Experience

• 5+ years in applied ML, ML engineering, or production AI systems
• Deep hands-on experience with PyTorch, TensorFlow, or Hugging Face
• Proven track record deploying models across cloud, edge, and on-device environments
• Strong experience with model compression and optimisation
• Solid understanding of GPU computing, CUDA, and performance profiling
• Low-level systems programming experience in C, C++, or Rust
• Strong algorithmic thinking and problem-solving ability in constrained or distributed systems

Want to work on real-world AI deployments, not demos? Take the next step in your career and apply today!

5V Tech are acting as an Employment Agency for the purposes of this job vacancy. We offer a reward scheme if you can recommend someone for this position, up to $250 for you and an additional $250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK, and North America.