Gulf Arabic/Bahraini Language Specialist (Must be based in UK)

PolyAI
United Kingdom
Last week
Job Type
Contract
Work Pattern
Part-time
Posted
9 Apr 2026 (Last week)

PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world’s leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows.

PolyAI automates customer service through lifelike voice assistants that let customers lead a conversation. Our voice assistants make it possible for businesses to deliver outstanding customer service that rivals their human agents. Our customers, which include the world’s leading logos, are expanding how they use our platform, driving automation of critical customer service operations and integrating PolyAI into their daily customer service workflows.

This will be on a part-time basis, 16 hours (2 consecutive 8 hour days) weekly commitment. Based on your preferred days, these will be set. The role is paid hourly.

Your responsibilities will involve:

  • Improving the language understanding module by providing high-quality sentence training examples
  • Updating system prompts based on client requests
  • Managing and uploading voice recordings
  • Testing conversational systems extensively before go-live
  • Reviewing customer calls and flagging problematic conversations to the team
  • Working with Software Engineers and Dialogue Designers to produce the best conversational UX and the highest call containment.

Minimum Requirements:

  • You are a native/fluent Bahraini(preferred)/Gulf(acceptable) Arabic speaker
  • You have a professional working proficiency in English (we have an international team, but English is our shared language)
  • You are a great communicator and enjoy working in a diverse team
  • You are meticulous and have an eye for detail
  • You have a can-do attitude and have a high standard for your own work
  • You are passionate about great user experiences and want to deliver the best UX to the customers
  • You are interested in natural language understanding technologies and curious about how advanced conversational artificial intelligence is changing contact centres

Preferred Requirements:

  • Ability to work within UK working hours.
  • Experience in natural language technologies and a rough understanding of how they work
  • Experience in translation and/or linguistics
  • Experience in data science and related areas
  • Experience in tech industries and understanding of how the software works
  • Experience in working with startups before
  • Experience in jobs that involves language skills, such as linguistics, translation, scripting writing, etc

At PolyAI, we take great pride in our values - they guide everything we do. We believe that a strong culture leads to meaningful work and lasting impact.

Our core values are:


Only the best
We expect the best from our people, we hire people that expect the best from themselves, and we nurture this drive for excellence.


Ownership
We care deeply about what we do. We take ownership of our initiatives, decisions and outcomes.


Relentlessly improve
We demand more from ourselves and are always evolving. Continuous, obsessive improvement is the only way we will transform the world of conversational AI.


Bias for action
Our world moves quickly and so do we. We take calculated risks and we deliver impact fast.


Disagree and commit
We are all working toward the same goal. If we donʼt agree with something, we work hard to understand it and when a decision is made, we accept it and give it our all.


Build for people
We want the world to enjoy the experiences they have with us. We are building for a future that prefers automation.


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.


Kindly find the Privacy Notice for our recruitment process by following the link here. This document provides important information regarding how we handle your personal data throughout the recruitment journey.

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

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.