Machine Learning Engineer

Randstad Technologies Recruitment; City Of London; Remote; GBP 60,000 - 80,000; Part time

Job summary

A leading tech recruitment agency is seeking a Senior Machine Learning Engineer for a 3-month remote contract. You will design and deploy scalable ML systems, bringing expertise in Java, Scala, or Python and frameworks like PyTorch or TensorFlow. This role demands urgency, with immediate interviews. Eligibility is for those with proven production experience in ML at large companies.

Qualifications

• Proven track record of developing large-scale ML systems.
• Strong proficiency in languages like Java, Scala, or Python.
• Hands-on experience with either PyTorch or TensorFlow.

Responsibilities

• Design, build, and deploy robust machine learning systems.
• Tackle complex challenges ensuring models are scalable and reliable.

Skills

Developing large-scale machine learning systems

Java

Scala

Python

PyTorch

TensorFlow

Job description

Overview

Senior Machine Learning Engineer — 3 Month Contract initially with a high probability of extension. Location: London — Working remotely.

The Role

We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.

What You'll Bring

• Production Experience: Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
• Technical Skills: Strong proficiency in languages like Java, Scala, or Python.
• Deep Learning Frameworks: Hands-on experience with either PyTorch or TensorFlow.
• Experience: Previous experience working on distributed systems is a plus.

This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it to [e-mail]

Randstad Technologies is acting as an Employment Business in relation to this vacancy.