Machine Learning Engineer

London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior Specialist-Machine Learning Data Science

Principal Data Scientist

Data Strategy Analytics Director

Controllers - London - Vice President - Quantitative Engineering

Senior Data Scientist - Machine Learning, AI

Job Title: Machine Learning Engineer
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.
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.
Experienced in Real time - Data Science Applications.
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 explainability is a plusWhat 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

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.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.