Software Engineer - Machine Learning

Duku AI
London
4 days ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer III - MLOps

GenAI Software Engineer/Data Scientist

Lead Software Engineer - Agentic AI/Machine Learning

Lead Software Engineer - MLOps

Data Scientist / Software Engineer

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.