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

Apply Now

Senior Gen AI Software Engineer - Python, Machine Learning

Harvey Nash
London
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist (AI & ML)

Senior Data Scientist

Senior Machine Learning Engineer

Senior Data Scientist

Senior Data Scientist, Model Customization, Generative AI Innovation Center, Model Customization

Senior Product Manager - Machine Learning and AI

Generative AI Platform Engineer - Python/Machine Learning sought by leading investment bank based in the city of London.**Inside IR35 - 2/3 days a week onsite**Our remit encompasses large scale engineering challenges on-premise and on cloud, along with cutting edge use of LLMs to address the use-cases of our users across the bank.You will be joining us right at the beginning of our journey, we are a startup within the bank and everyone will be actively coding. So, we need innovative and creative self-starters who have had previous experience in developing large-scale platforms involving data, finance, and analytics.What you'll do will be very case and experience driven, but here are some essentials:

  • Design and build high-quality, highly reliable software
  • Partner closely with other development teams, quants and subject-matter experts in our businesses
  • Ensure our software platforms are compliant with the banks security and SDLC (Software Development Life Cycle) processes
  • Run the platform at scale and continue innovating and evolving

What we'll need from you:

  • Experienced in and strong knowledge of using AI/ML and more particularly LLMs eager to apply this rapidly changing technology.
  • Strong knowledge and deep experience of Python
  • Strong distributed systems skills and knowledge
  • Strong system architecture skills
  • Experienced in building and running a large platform at scale
  • Ve...

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.

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

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.