Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Engineer

London
1 week ago
Create job alert

Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely

Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.

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 deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk

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

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer (LLMs & AI Agents)

Machine Learning Quant Engineer - Investment banking

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Head of Data Science

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.