Machine Learning Engineer

Premier Group
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer( Real time Data Science Applications)

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

This range is provided by Premier Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Machine Learning Engineer

Location: London – Once a week in the office

I’m currently working with a forward-thinking FinTech SaaS business, who are looking for aMachine Learning Engineerwith experience in designing and deploying machine learning models to join their growing team in Central London.

The business has been going for 5 years and recently received series funding which they intend to invest in their AI capabilities and Data Science teams. This will help them implement AI into their SaaS product suite which is used to analyze growth opportunities and improve their clients financial services to their customers.

About the Company

  • Founded in 2019.
  • Based in Central London and require office working of once a week.
  • FinTech SaaS Business – develop solutions to analyze growth opportunities.
  • Looking to implement AI/ML into their solution product suite/roadmap.
  • Have recently received series funding with lots of plans to grow the business.
  • Offers good progression opportunities to enhance skill set or lead teams in the future.

The Role – Machine Learning Engineer

  • Design, implement and optimize ML models for a variety of applications – including predictive modeling, NLP, and computer vision.
  • Good experience in Machine Learning, AI, Data Science, Engineering, and SaaS – ideally 2-3 years.
  • Collaborate with cross-functional teams to identify requirements.
  • Good technical experience with Python, Pytorch, TensorFlow, NLPs, and Cloud.
  • Brand new role which offers great opportunities to progress in an evolving space.
  • Ideally have worked in SaaS environments.

Salary & Benefits

  • 10% Bonus.
  • 26 days holiday + bank holidays.
  • Private Medical Insurance.

If this role is of interest, please apply and I can give you a call.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Finance, Information Technology, and Consulting

Industries

Software Development, Information Services, and Financial Services

J-18808-Ljbffr

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.

Jobs

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.