Lead Front End Engineer TypeScript React

Client Server
Cambridge
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - GenAI - Consultant

Data Scientist - GenAI - Consultant

Lead Specialist, Data Scientist

Principal Data Scientist & Machine Learning Researcher

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Data Scientist (Healthcare) - Onsite UK Clients

Lead Front End Engineer / Developer (TypeScript React Data) Cambridge / WFH to £100k


Are you a Front End technologist with a strong knowledge of best practice combined with leadership skills?


You could be progressing your career in a senior, hands-on role working on real-world problems within a highly successful and scaling SaaS tech company, the core product is an AI and Machine Learning platform that is used within the automotive sector for a range of purposes e.g. engine calibration.


As a Lead Front End Engineer you'll collaborate closely with UX Designers, Product Managers and Backend Software Engineers to architect, design and develop highly scalable and performant web applications that feature sophisticated Data Visualisations. You will also provide hands-on technical leadership to a small team of mid-senior Front End Engineers, including coaching and mentoring, upskilling and 1-2-1s., ensuring consistent high quality with standards upheld.


There are a number of technical challenges as the company scales and excellent career progression as you help to grow the team around you.


Location / WFH:

You can work from most of the time, joining the team in Cambridge once a week. The office is close to the station and has an onsite gym with 24 hour access.


About you:

  • You have strong technical / team leadership skills, happy to mentor, coach and upskill other in the team whilst providing hands-on technical leadership
  • You have strong Vanilla JavaScript development experience combined with TypeScript and React skills (there is a tech test involved in the interview process)
  • You have experience with UI data visualisation and relevant tools (e.g. Chart.js, D3.js)
  • You have experience of working on enterprise scale web applications of scale
  • You have full software development lifecycle experience, including a strong appreciation of testing
  • You have strong technical project management experience with a focus on delivery
  • You have a good knowledge of software engineering best practices and Computer Science fundamentals such as OOP, Data Structures, Design Patterns
  • You're collaborative with great communication skills and Agile team experience
  • You're keen to work in a start-up / scale-up environment
  • You're degree educated in Computer Science or similar technical discipline


What's in it for you:

  • Competitive salary - to £100k
  • Stock options
  • Private Health Care including eyecare and dental plan
  • Life Assurance
  • Upto 6% employer pension contribution
  • Life Assurance
  • Employee Assistance Programme
  • 25 days holiday
  • Hybrid working (x1 day a week in Cambridge)
  • Perks such as free membership at Cambridge botanical gardens


Apply nowto find out more about this Lead Front End Engineer / Developer (TypeScript React Data) opportunity.


At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

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.