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

Apply Now

Localisation and Mapping Engineer

Ruislip Manor
1 year ago
Applications closed

Help Robots Navigate Industrial Sites Safely
(West London - with some travel)

You'll be building the "eyes and brain" that help robots safely navigate busy industrial sites - keeping human workers away from dangerous areas while making operations more efficient.
The role pays £45K-£65K depending on your experience, with potential for equity in a growing British tech company.

Your typical week:

Writing algorithms that help robots understand their surroundings using multiple sensors
Creating and refining 3D maps of industrial environments
Improving our location tracking accuracy - critical for safe robot operation
Collaborating directly with our 15-person engineering team
Testing your solutions on real robots in actual industrial settings

You are ideal if you:

Have a Masters/PhD in Robotics, Computer Vision, or similar
Are skilled in Python and C++ (we use both daily)
Have hands-on experience with SLAM, ROS, or similar robotics frameworks
Want to solve complex technical challenges that directly impact safety
Prefer working in small, focused teams rather than large corporations

The challenging parts:

You'll need to balance accuracy with real-world performance constraints
Some solutions will require multiple iterations to get right

Why their engineers stay:

You'll own major features from concept to deployment
Direct access to our technical founders (both PhDs in Robotics)
We're small enough that your work has immediate impact
Clear path to technical leadership as we grow
Your solutions could become patented technology

Want to know more? Contact Dave Slark at Avanti Recruitment or apply directly here

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.