Staff Engineer (ML-Native / Software Engineering)

London

1 year ago

Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Forward Deployed)

We're Hiring: Staff Engineer (ML-Native / Software Engineering) - Remote

Hi everyone! 👋 I'm currently hiring for a Staff Engineer to join a global tech company that's shaping the future of online safety and digital experiences.

This role is ideal for someone who lives at the intersection of machine learning and strong software engineering, and wants to build real-world systems that make a difference.

🧠 What You'll Be Doing:

Designing & building scalable systems-from ML pipelines to microservices and APIs
Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code
Collaborating across teams-engineering, product, data, and more
Leading by example as a senior individual contributor, mentoring others and setting technical direction
Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices

🌟 What They're Looking For:

A builder's mindset: you thrive on solving problems end-to-end, not just prototyping
Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.)
ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically
Strong systems design, architecture, and a clear, pragmatic communication style
Experience leading complex technical projects or products, either in a company, startup, or open-source community

Bonus points if you've worked on privacy tech, GraphQL, OAuth, embedded systems, or large-scale data pipelines.

🌍 Why You Might Love It:

✅ A bold mission with global impact

✅ Remote-first setup (EST to CET) + offices in Berlin & multiple other locations

✅ Smart, passionate teammates and huge autonomy

✅ Competitive salary, benefits, and strong support for professional growth

✅ The chance to "re-found" a company at a pivotal moment in its evolution

If this sounds like something you'd thrive in-or even if you're just curious-I'd love to chat and tell you more.

Feel free to apply here

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 8, 2026

Products

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

Mar 24, 2026

Jobs

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.