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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.