ChatBot Developer - Outside Ir35

Adecco
Dorset
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer III

Machine Learning Engineer II

Machine Learning Engineer II

CHATBOT DEVELOPERRate - £500 (a day)Duration - 6 Months (Initially)Location - Dorset (Hybrid)Ir35 - OutsideWe are seeking a skilled Chatbot Developer to join our team. In this role, you will be responsible for designing and developing advanced conversational interfaces and chatbot solutions. You will utilise AI technologies and natural language processing to increase our company's automation capabilities. The Chatbot Developer will be expected to understand user requirements, integrate chatbot solutions into existing systems, and troubleshoot any issues that arise. Experience within the Higher Education sector would be beneficial but isn't essential.Responsibilities:Design, develop, and implement chatbot solutions using AI technologies.Integrate chatbot solutions into existing systems and platforms.Understand and translate user requirements into technical solutions.Work closely with cross-functional teams to improve chatbot capabilities.Develop and maintain technical documents related to chatbot implementations.Test, troubleshoot, and improve chatbot solutions.Monitor the performance of chatbots and make necessary improvements or adjustments.Keep up to date with the latest industry trends and technologies to stay competitive.Train chatbots to improve response accuracy using machine learning algorithms.Resolve any chatbot issues, including debugging and troubleshooting.Knowledge transfer to, and collaboration with, internal technical teamsRequirements:Proven experience in designing and implementing chatbots for various platforms.Familiarity with chatbot development tools like Dialogflow, Microsoft Bot Framework, or Rasa.Strong coding skills in languages such as Python, Node.js, or similar.Experience integrating chatbots with CRM systems, databases, and other enterprise tools.Ability to design conversation flows and optimize user interactions.Knowledge of natural language processing and machine learning basics.Strong debugging and troubleshooting skills for real-time chatbot interactions.Excellent communication skills with a focus on end-user experience.Commitment to staying updated with the latest in chatbot technology and trends. Thank you for your application. Please be advised that due to the high volume of applications we receive, we may not be able to respond to every applicant individually. However, we truly appreciate your interest in the opportunity and thank you for taking the time to apply

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.

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

🍪 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.