Automotive Software Project Manager

Cambridge

1 year ago

Applications closed

Related Jobs

View all jobs

Machine Learning Researcher

Principal Data Scientist London, United Kingdom

Principal Data Scientist

Manufacturing Data Scientist: Drive Plant Efficiency with AI

Research Associate in Computational Biology and Machine Learning

Machine Learning Researcher Statistics Python AI - Client Server

A Technical Project Manager with a software development background, strong coaching / mentoring skills and who can bring experience of successful project delivery within an EV / Electric Motor, Machine Learning or Automotive Company will join an exciting deep-tech Start-up in the Sustainability arena.
The successful Technical Project Manager will bring an Electronics or Software related Degree and ideally a project management qualification. Strong customer facing skills are essential.
You will take responsibility for a range of activities from overseeing the delivery of the company’s current and future portfolio of customer projects; ensuring all projects are completed on time and to budget; acting as primary technical contact for customers, developing robust technical proposals and supporting the building of strong relationships with new customers.
This is very much a technically focused management role, ideal for someone who has previously worked in low level software development or software applications engineering and has progressed their career through to project or program management.
This exciting company is working to create the best electric motors – essential to the green energy revolution.
A generous starting salary will be offered, with Shares, Hybrid working (3 days a week in office), 30 days holiday + additional time off between Xmas and New Year, Private Healthcare, Pension Plan and shared full maternity / paternity leave

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jan 23, 2026

Education

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.

Jan 18, 2026

Jobs Careers

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.

Jan 13, 2026

Jobs

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.