National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Software/Data Engineering Lead (Basé à London)

Jobleads
London
6 days ago
Create job alert

Summary

This is one of the world’s most renowned financial institutions, experiencing an exciting period of growth in their London office.

In this role, you will join a highly creative, innovative, and passionate team of engineers combining Data Science, AI, ML, optimization algorithms, and automation to enhance human intelligence and solve business problems at scale. You will take on a varied project portfolio, including architecting and implementing robust, modern cloud-based software solutions, building scalable frameworks for common data challenges, and mentoring junior engineers.

The successful Senior Software/Data Engineering Lead will be an excellent creative problem solver, a data enthusiast, and passionate about applying data analytics and intelligence to solve real-world problems.

Skills and Experience Required

  • Practical experience in architecting and delivering cloud-based software engineering frameworks
  • Experience with AWS services related to data analytics, AI, and ML technologies
  • Deep knowledge of cloud-native data technologies and modern data engineering practices
  • Excellent full-stack development skills in Python or similar languages
  • Strong SDLC mindset, API, and microservice development experience
  • Bachelor’s degree or higher in Computer Science, Engineering, or related fields
  • Interest in data science, AI, and ML disciplines
  • Experience with data mesh frameworks and implementation
  • Familiarity with the latest tools, languages, and frameworks
  • Opportunities for career growth and professional development
  • Flexible working arrangements, including WFH 2-4 days a week depending on role


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Software/Data Engineering Lead (Basé à London)

Senior Software/Data Engineering Lead (Basé à London)

Senior Software/Data Engineering Lead

Software Engineer - Data Science

Software Engineer - Ai/Machine Learning

Lead Data Engineer

National AI Awards 2025

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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.