Principal Application Software Engineer - grads welcome

Adecco
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Software Engineer, Applied Artificial Intelligence (AI)

Senior Simulation Engineer (Data Science)

Principal Data Scientist London, United Kingdom

Principal Data Scientist

Principal Data Scientist

Data Scientist

This job description is for a Principal Application Software Engineer role based in Cambridge, UK with a hybrid working model and graduates are welcome to apply: Here's a breakdown of the key points:About the CompanyA pioneering machine learning and artificial intelligence software house.Renowned for developing cutting-edge technologies and highly respected in the AI domain.Led by experienced entrepreneurs with a history of producing award-winning tech companies.The team includes some of the brightest minds in technology.Job ResponsibilitiesTechnical Leadership: Manage and oversee complex technical projects within a commercial setting.Communication: Adapt communication style to work effectively with a diverse software team.Team Mentoring: Lead and mentor a small team, fostering growth for junior team members.SDLC Expertise: Proficient in the full software development life cycle-design to implementation.Required Skills and QualificationsEducation:Degree educated with a 2.1 or higher in a relevant field (Computer Science, Physics, Natural Sciences, Engineering, etc.).Mathematically inclined with strong problem-solving abilities.Technical Expertise:Hands-on experience with the following:Node.js, Python, JavaPostgreSQL, Elasticsearch, RedisGeneral engineering mindset and problem-solving skills.Professional Experience:Several years of experience in a commercial setting managing complex technical projects.Proven ability to lead a ...

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.

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.

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.