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

Apply Now

Machine Learning Engineer

Client Server
London
9 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer – Insurance

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Machine Learning Computer Vision Engineer

Senior Computer Vision Engineer

Machine Learning Engineer (Python TensorFlow AWS) London / WFH to £80k

Are you a Machine Learning technologist with strong scientific Python and AWS skills?

You could be progressing your career working on bleeding edge, Machine Learning and AI powered, audio fraud detection software used by all UK banks, the emergency services and a range of other clients to prevent and detect fraudulent call activities.

As a Machine Learning Engineer within the model development team, you'll develop cutting-edge models for cloud based authentication and fraud systems, focussing on researching, experimenting with and implementing advanced machine learning models, continuously iterating to improve the products performance. You'll independently design, carry out and analyse online and offline experiments, employing metrics such as false positives, false negatives, precision, recall, F1 scores, ROC curves and confusion matrices to assess and improve model performance.

There's an open, collaborative environment where learning and personal development are key and there's a strong pipeline of Greenfield projects as well as flexible working and a host of benefits; the company has been awarded Platinum standard by Investors in People and is multi-award winning with various DEI initiatives and excellent personal growth and career development opportunities.

WFH Policy:

You can work from home most of the time, joining colleagues in the London 1-2 days a week; when you are in the office you can enjoy a friendly team environment that encourages knowledge sharing and close collaboration.

About you:

  • You have an advanced understanding of machine learning fundamentals, algorithms and theory
  • You have strong Python and SQL development skills and experience with machine learning frameworks including TensorFlow, PyTorch and Scikit-Learn
  • You have experience with machine learning techniques such as deep learning architectures, clustering methods and ensemble methods
  • You're happy to work across the full lifecycle and collaborate with platform engineering and MLOps through to dployment
  • You're degree educated in a relevant STEM discipline

What's in it for you:

As a Machine Learning Engineer you will earn a competitive package:

  • Salary to £65k + bonus
  • 25 days holiday (with the option to buy 5 more)
  • Flexible working (including working from home start / finish times)
  • Enhanced maternity and paid parental leave packages
  • Time off to participate in charity initiatives such as Code Club
  • Pension, Life Assurance, Medical care
  • Monthly Wellness budget to spend on what you like
  • Gym membership
  • Annual home office budget
  • Diverse, inclusive team culture with flexible working

Apply nowto find out more about this Machine Learning Engineer (Python TensorFlow AWS) opportunity.

At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

ZGF0YWJhc2UuOTk3MzMuMTIyNzFAY2xpZW50c2VydmVyLmFwbGl0cmFrLmNvbQ.gif

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 the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.