Lead Front End Engineer TypeScript React

Client Server
Cambridge
1 month ago
Applications closed

Related Jobs

View all jobs

Frontend Developer/Design Lead

AI / Machine Learning Engineer (Remote)

AI / Machine Learning Engineer (Remote)

Senior Software Engineer

Senior Python Developer

Lead Mobile 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for AI Jobs (With Real GitHub Examples)

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

Jobs Careers

AI Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Jobs

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.