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

Apply Now

Software Engineer - Machine Learning

Duku AI
London
3 days ago
Applications closed

Related Jobs

View all jobs

Software Engineer- Machine Learning - UK

Software Engineer- Machine Learning - UK

Software Engineer - Graph Data Science

Software Engineer - Machine Learning

Software Engineer- Machine Learning - UK

Software Engineer, Machine Learning

QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity.

Duku AI is ending that era.

We’re building autonomous agents that think like engineers : they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact.

We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we’re hunting for one more builder to help us rewrite the rules of software quality.

Note: All job postings are for roles located in London, UK, unless stated otherwise.

What You’ll Do

  • Ship fast, learn faster : We deploy daily, not monthly
  • Talk to users, shape the roadmap : Sit in the trenches with founders on calls that define what we build
  • Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time
  • Own the stack : Python, TypeScript, cloud infra, from commit to production
  • Turn prototypes into production : Run real experiments on models, embeddings, and retrieval pipelines

What We’re Looking For

  • Relentless drive: You execute fast, adapt faster
  • Startup scar tissue : You’ve shipped product with no safety net
  • Fluency with AI/LLMs : LangChain, vector stores, prompt engineering
  • Product obsession : You care more about outcomes than outputs

Ideal Background

There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:

  • Shipped AI features in prod
  • Built something from 0 to 1
  • Thrived in chaos with high ownership

Why This Matters

Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it.

Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter.

Join now, and help make that future real, before someone else does.

Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology
Industries
  • Technology, Information and Internet

Referrals increase your chances of interviewing at Duku AI by 2x

Some postings may be for roles in London, United Kingdom; duties and locations vary by opening.

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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 Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

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.