Software Engineer

Polaron
London
10 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer

Software Engineer

Software Engineer

Software Engineer (Python React)

Software Engineer Lead

Software Engineer - Mandarin Speaking

About Polaron

Polaron is a spin-out from Imperial College London, founded by Isaac Squires, Dr. Steve Kench, and Dr. Sam Cooper. The founders were united by their desire to harness engineering, artificial intelligence, and materials science to build the materials of the future.

Our mission is to become the world leaders at the interface between AI and materials. Through relentless dedication to innovation and pragmatism, we aim to support the next generation of advanced materials critical to building a more sustainable future.

Role Overview

You’ll be joining a team of four (CEO, CTO, Chief Scientist and Head of Engineering) as the first software engineer. This role grants you a significant degree of autonomy, and influence over the development and direction of the platform and product.

We’re building a SaaS product that will allow materials engineers to leverage cutting-edge AI in their work. Some of the things on our roadmap you’ll work on include:

  • Building a robust cloud platform for scheduling the training and serving of bespoke AI models for our customers.
  • A rich web-based image manipulation application for pre-processing image data that is used to train machine learning models.

Location

This is primarily an in-person role, with the team currently working from our East London office (a short walk from Old Street and Hoxton Overground) at least four days a week. At this early stage of the company’s development we currently favour collaboration in person, but we can discuss your preferences for working location as part of an application.

Our Commitment to Diversity

At Polaron, we are dedicated to building a diverse and inclusive team. We encourage you to apply, regardless of your past experience or background.

Technologies We Use

  • Frontend/Backend: TypeScript with React/Next.js and Express/Prisma.
  • Machine Learning: Python.
  • Infrastructure: Docker, Kubernetes, Terraform (AWS).
  • Database: PostgreSQL.
  • CI/CD: Github, Github Actions.

Interview Process

Our interview process typically consists of the following stages:

  1. Initial Video Call (20 mins): Discuss your experience and interest in the role with a member of the team.
  2. Technical Pairing Exercise (1 hr): Collaborative coding session via video call, This is a chance to see how we work on an engineering problem together.
  3. Behavioral Interview (45 mins):  In-person discussion with two team members in our office.
  4. Paid Trial Day: This is a chance to spend the day in our office collaborating with the team on a real engineering task.

For any inquiries or requests for reasonable adjustments during the application process, please contact us at .

Requirements

You should apply if

  • You have 3+ years experience working as a product-focussed software engineer.
  • Experience writing well-tested, maintainable code with a statically typed programming language (TypeScript, Go, Java/Scala, etc).
  • A product-oriented mindset, comfortable engaging with customers, defining products, and owning feature delivery from start to finish.
  • Comfortable working across the technology stack.

Benefits

The salary range for this position is £60,000-£75,000 GBP, and 0.1-0.5% equity, depending on experience and negotiated terms.

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.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.