Software Localization Engineer

AuRoLog Talent
London
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer - AI MLOps Oxford, England, United Kingdom

Software Engineer - (Machine Learning Engineer) - Hybrid

GenAI Software Engineer/Data Scientist

Software Engineer (AI & Machine Learning Focus)

Software Engineer III - MLOps

Software Dev Intern - AI / Machine Learning

About the Company:A forward-thinking technology company focused on advancing autonomous solutions for enhanced industry performance, and safety to promote a sustainable future.


Key Responsibilities:

  • Oversee the architecture and roadmap for mapping and localization models.
  • Design cutting-edge solutions for multi-sensor fusion, leveraging technologies like lidar, cameras, GPS, IMUs, and wheel encoders to support robust localization capabilities.
  • Develop and refine mapping and localization strategies for large-scale environments.
  • Collaborate closely with a diverse engineering team to continuously improve existing technologies.


Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Strong expertise in SLAM, computer vision, sensor fusion, and point cloud processing.
  • Proficient in programming with Python and C++.
  • In-depth knowledge of sensor technologies, including lidar, radar, cameras, GPS, and IMUs.


If you’re ready to make an impact in the field of autonomous technology and have the expertise to lead localization and mapping developments, we encourage you to apply!

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.