National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Full Stack Engineer - Voice team (must be UK based)

PolyAI
5 months ago
Applications closed

Related Jobs

View all jobs

AI Full-Stack Product Engineer

Principal Cybersecurity Machine Learning Engineer

Full-stack Software Engineer

Full Stack AI Engineer/ Computer Vision Engineer

UKIC DV - Full Stack Software Engineer

Machine Learning Engineer

PolyAI is tackling the challenges of automating customer service through voice. Our voice assistants make it possible for businesses to deliver outstanding customer service at every touchpoint.

We're on the lookout for a Full Stack Software Engineer to join our tech team and play a key role in crafting user-friendly voice experiences. In this role, you'll be responsible for the development of our in-house voice stack, helping develop both front-end features on our user-facing platform as well as internal tooling.

Collaborating with a diverse engineering team, you'll contribute to a cohesive and scalable codebase. Your focus includes implementing new features on our platform. If you're passionate about technology, enjoy tackling challenges, and are eager to contribute to our friendly, innovative environment, we'd love to welcome you aboard!

Your responsibilities will involve:

  • Building and maintaining internal tools which allow speedy data annotation and curation for training machine learning models, as well as admin panels for observability and rollouts of critical pipeline changes.
  • Contributing to our user-facing platform for building and configuring voice assistants, particularly
  • Contributing to the implementation of our multi-tenant infrastructure, across multiple cloud vendors.
  • Taking a major role in our software development, through writing code, tests, as well as contributing to design ideas, documents and performing code reviews.

Requirements

  • 1-2+ years Professional experience in a full stack development role, or a front end development role with interest in expanding the back end skillset.
  • Hands-on experience in designing, deploying, and maintaining RESTful APIs
  • Experience with multiple programming languages. In house we use Python and Go for backend. For front-end we use React, NextJS, Typescript etc.
  • Working proficiency in verbal and written English
  • Bachelor’s degree or Master’s in Computer Science, Engineering, a relevant technical field or equivalent practical experience

Preferred Qualifications:

  • Experience with one or more cloud services: AWS, GCP, Azure
  • Understanding of algorithms, data structures, system design and complexity analysis
  • A background or interest in applied machine learning, supercharging teams by building internal tools
  • Finds enjoyment in technical challenges and wants to contribute directly to solutions in a start-up environment.

Our interview process:

  • Intro call with the Talent team
  • A take-home coding problem
  • Two back-to-back coding interviews (45 and 60 minutes each)
  • A 30 minute behavioural interview with our CTO / VP Engineering

Benefits

Participation in the company’s employee share options plan

25 days holiday, plus bank holidays

Flexible working from home policy plus a one-off WFH allowance when you join

Work from outside of the UK for up to 6 months each year

Enhanced parental leave

Bike2Work scheme

Annual learning and development allowance

‍ ‍Company-funded fertility and family-forming programmes

Menopause care programme with Maven

Private healthcare and dental cover, discounts on gym members and relaxation apps, and access to a range of mental health programs

Equal Opportunity Statement:

PolyAI is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

All employment decisions at PolyAI will be based on the business needs without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.

National AI Awards 2025

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 to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.