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
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist- Gen AI

Senior Design Engineer (NLP Products)

Senior Design Engineer (NLP Products)

Engineering Program Manager, Machine Learning

Senior Machine Learning Engineer (GenAI)

Senior Data Engineer

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.