AI Chatbot Engineer

Xcede
Greater London
1 year ago
Applications closed

Related Jobs

View all jobs

AI/ Machine Learning Engineer NLP / LLM - Contract

Artificial Intelligence Engineer

Senior Machine Learning Engineer

Founding Lead Machine Learning Engineer

Senior Machine Learning Scientist

Artificial Intelligence Engineer

AI Chatbot Engineer

South London once per month

Up to £90,000 Salary + Bonus




OVERVIEW


Well established Insurtech hiring for an AI Chatbot Engineer to join a new team as a domain expert in Chatbot Engineering. You will be driving forward the new AI Chatbot throughout the design, development, architecture, and implementation of this new interface for their consumers. Your responsibilities as an AI Chatbot Engineer will include but not be limited to:


  1. Take ownership of the Chatbot development, design, and architecture for the business, leveraging AWS solutions that are focused on consumer engagement and experience.
  2. Be the subject matter expert for Chatbot Engineering within the team and work within the wider squad to solve complex technical challenges.
  3. Collaborate effectively with internal stakeholders and team members in Data Science, Engineering & Technology.
  4. Stay up to date with emerging AWS technology testing and development whilst experimenting with new AWS capabilities.




YOUR SKILLS & EXPERIENCE


A successful AI Chatbot Engineer will have the following:


  1. Proven commercial experience using customer engagement and experience technology and tools, preferably within the Amazon Connect and AWS ecosystems.
  2. Ability to design and develop AWS environments and systems as code.
  3. Experience with cloud automation tooling experience such as Jenkins and Terraform.
  4. Strong knowledge of Natural Language chatbots and voice systems such as Interactive Voice response.




HOW TO APPLY


Please register your interest by sending your CV to for more info or click the Apply Link!

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.