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

Apply Now

Lead Software Engineer (Machine Learning)

Mondrian Alpha
London
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager, London London

Machine Learning Manager, London

Lead R Engineer / Data Scientist - Integrated Pest Management & Soil Science

Software Engineering Manager – Machine Learning

Lead MLOps Engineer

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

We’re looking for exceptional talent to join a high-performance team building solutions that power some of the most advanced systems in the world. Are you a world-class engineer with a passion for tackling the hardest problems in software development? If you’re a Python virtuoso or a competitive programming/maths champion (think IMO, ACM-ICPC, Putnam), this is your chance to join a team where your skills will shine. Architect and develop cutting-edge software systems to solve complex, real-world challenges. Leverage your elite programming skills to create solutions that are fast, scalable, and elegant. Dive deep into data structures, algorithms, and optimization to build performance-critical software. Influence the culture of a firm that values curiosity, collaboration, and creative problem-solving. Elite coding skills in Python (or other languages, with a willingness to specialize in Python). Academic pedigree from top-tier universities in Computer Science or related fields. A proven track record of excellence, demonstrated by achievements like competitive programming accolades (IMO, ACM-ICPC, Putnam), publication in respected journals, or industry awards. Mastery of data structures and algorithms, with the ability to tackle challenges from first principles. Experience solving complex technical problems at scale, in fields like finance, gaming, or high-tech industries. A deep understanding of distributed systems, machine learning, or low-latency computing is a plus. Take on technically challenging projects that will stretch your skills and drive innovation. A competitive compensation package that reflects the level of talent we’re seeking, including performance-based bonuses and unparalleled growth opportunities. This isn’t just another software engineering role. It’s your chance to join an elite group where your skills will be recognized, your contributions will matter, and your career will reach new heights.

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

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

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.