Lead Front End Engineer TypeScript React

Client Server
Cambridge
11 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer (Cloud)

Lead Data Engineer

Lead Data Engineer (GCP)

Lead Data Engineering Consultant CGEMJP00330718

Lead Data Engineer

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.

Q1NSLkRldkZFT1NKYXZhLjc3NDMxLjEyMjcxQGNsaWVudHNlcnZlci5hcGxpdHJhay5jb20.gif

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.