Engineering Manager

Annapurna
London
1 year ago
Applications closed

Related Jobs

View all jobs

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hyb...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hyb...

Engineering Manager, MLOps, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hyb...

Engineering Manager


Job Type:Permanent Position


Location:Hybrid (UK Based)


Start Date:ASAP



About The Company:


We are a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale. We were the first to deploy AVs on public roads with end-to-end deep learning.



The role:


  • Lead a multidisciplinary team of Software Engineers and Systems Engineers, setting clear objectives and milestones. Drive strategic software deployment across AV systems, aligning with the company’s objectives.
  • Oversee the design and implementation of software that supports full sensor integration and data capture, ensuring high quality and scalability necessary for autonomous operations.
  • Ensure the delivery and maintenance of soft-real-time applications on Linux-based platforms, focusing on data collection, storage, and on-edge machine learning inference.
  • Develop fault-tolerant software solutions with comprehensive diagnostic tools to swiftly address and resolve issues impacting the operational capacity of our deployed AV fleet.
  • Craft and utilize advanced system monitoring tools to enhance performance metrics and troubleshoot both ad-hoc and systemic issues effectively.
  • Efficiently allocate resources, including personnel and technical infrastructure, to meet project timelines and performance goals.


About you:


Essential

  • At least 2 years in a leadership role within software development or embedded systems, including directly managing a software development team through all stages of the software lifecycle.
  • Strong knowledge of software development for embedded systems, real-time data processing, and system diagnostics, preferably within the automotive or similar regulated industries.
  • Hands-on experience with Linux-based development, real-time systems, and edge computing. Proficiency in programming languages such as C++ or Rust, and experience with relevant software development tools and environments.


Desirable

  • Automotive Software:Background in developing automotive software, with knowledge of ASPICE, DriveOS, or AutoSAR
  • Educational Background:A Master’s degree or greater in Computer Science, Electrical Engineering, or a related field is desired



If you would like to have a chat about this exciting opportunity, apply below or reach out directly to

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.

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

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.