Machine Learning Engineer( Real time Data Science Applications)

London
3 weeks ago
Create job alert

Job Title: Machine Learning Engineer (real time Data Science Applications)
Contract: 6 Months (possibility for extension)
Location: London (2 days a week onsite)
Rate: Circa £800/Day
Working Pattern: Full Time

Join our client, a global leader in financial technology, as they empower businesses of all sizes to make, take, and manage payments seamlessly. With operations spanning 146 countries and 135 currencies, they are at the forefront of creating exceptional commerce experiences. If you are passionate about leveraging machine learning to drive innovation in the fintech space, we want to hear from you!

Key Skills & Experience Required:

Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle.
Experienced in Real time - Data Science Applications is essential
Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and improving production systems
Strong familiarity with web server and API designs for ML model deployments.
Proficient Python skills, including experience with relevant data libraries.
Cloud engineering experience, particularly with AWS and Databricks.
Exposure to GenAI / NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing, and model. What You'll Do:
As a Machine Learning Engineer, you will be a pivotal part of our team, focusing on:

Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes.
Optimising the ML life cycle, ensuring seamless integration from development to production.
Collaborating with cross-functional teams to enhance live systems and support automation efforts.Who You Are:
You're a self-starter with a robust background in machine learning engineering and ML Ops. You bring:

A relevant BSc/MSc degree and hands-on industry experience with real-world data science applications.Why Join Us?

Innovative Environment: Work with cutting-edge technologies in a fast-paced industry.
Collaborative Team: Join a diverse team of talented professionals who are passionate about what they do.
Career Growth: Opportunities for professional development and potential contract extension based on performance.If you're ready to make an impact in the world of financial technology through machine learning, apply today! Let's shape the future of commerce together.

To Apply: Send your CV and a brief cover letter outlining your relevant experience and why you're excited about this opportunity. We can't wait to meet you!

This is a fantastic opportunity to be part of a dynamic team, so don't miss out! Apply now and let's get started on an exciting journey together!

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer( Real time Data Science Applications)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Rural-Remote AI Jobs: A Breath of Fresh Air in the UK Tech Scene

A New Horizon for AI Professionals For years, conversations around tech careers in the UK have hinged on a central theme: to succeed in artificial intelligence (AI), you must be in or around London (or other big metropolitan areas like Manchester, Bristol, or Edinburgh). But times are changing. Technological leaps and the rise of flexible working are paving the way for AI professionals to live and work well beyond the capital. From the rugged coastlines of Cornwall and Pembrokeshire to the rolling hills of the Yorkshire Dales, we’re witnessing an exciting trend of AI remote countryside roles that allow you to work at the forefront of tech innovation—all while enjoying the tranquillity of rural or seaside living. At ArtificialIntelligenceJobs.co.uk, we’re seeing a marked increase in job postings and applications for these sorts of positions. A growing segment of job seekers is actively searching for “tech jobs by the sea” or “AI remote countryside,” driven by a desire for better work-life balance, lower living costs, and a healthier lifestyle. And it’s not just employees who stand to benefit; employers eager to attract top-tier AI talent are discovering that offering remote or flexible roles widens their candidate pool and enhances diversity. If you’re enticed by the idea of logging off from a day of coding neural networks and taking a stroll along a coastal path—or stepping outside your converted barn in Northumberland to soak in some fresh country air—this article is for you. Below, we’ll explore the benefits and challenges of rural-remote AI jobs, the specific roles best suited for remote work, and how to position yourself for success in this rapidly evolving sector.

When Qubits Fuel Neural Networks: The Emerging Frontier of Quantum-Enhanced AI

Artificial Intelligence (AI) has soared to unimaginable heights over the last few years, revolutionising sectors ranging from healthcare and finance to logistics and entertainment. But while deep learning models have grown more sophisticated and powerful, they remain tied to the limitations of classical computing systems. Enter quantum computing, a burgeoning field that leverages qubits—quantum bits—to achieve processing speeds that could leave even today’s most advanced supercomputers in the dust. What if we combined these two forces? Quantum-enhanced AI aims to integrate quantum hardware and algorithms into AI workflows, potentially unlocking efficiencies and capabilities that are currently out of reach. Although this domain is still in its infancy, experts predict it could reshape entire industries in the not-so-distant future. For professionals in AI, this is more than just an interesting development; it’s a pivotal shift that could spawn new roles, research areas, and opportunities. In this thought-leadership piece, we will: Outline the basics of quantum computing and why it matters to AI. Examine how quantum resources might supercharge neural networks. Highlight the career paths at the intersection of quantum and machine learning. Discuss the long-term outlook and what it means for AI professionals looking to stay ahead. Whether you’re already immersed in AI or just beginning to explore its potential, strap in—this new frontier promises a radical transformation.

AI Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Over the last decade, the United Kingdom has firmly established itself as one of Europe’s most significant technology hubs. Thanks to a vibrant ecosystem of venture capital, government-backed initiatives, and a wealth of academic talent, the UK has become especially fertile ground for artificial intelligence (AI) innovation. This growth is not just evident in established tech giants—new start-ups are emerging every quarter with fresh ideas, ground-breaking technologies, and a drive to solve real-world problems. In this Q3 2025 Investment Tracker, we take a comprehensive look at the latest AI start-ups in the UK that have successfully secured funding. Beyond celebrating these companies’ milestones, we’ll explore how these recent investments translate into exciting new job opportunities for AI professionals. Whether you’re an experienced machine learning engineer, a data scientist, or simply hoping to break into the AI sector, this roundup will give you insights into the most in-demand roles, the skills you need to stand out, and how you can capitalise on the current AI hiring boom.