Artificial Intelligence Engineer

The Hub
London
1 year ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Digital and Technology Solutions Apprenticeship - Artificial Intelligence Software Engineering

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Artificial Intelligence Manager (18-month FTC)

Seeking a proactive AI Analyst to join our dynamic team, where you will be instrumental in harnessing the power of artificial intelligence to solve complex business challenges. In this role, you will analyze vast amounts of data to uncover trends that improve our products and services. You'll also collaborate with cross-functional teams to deploy AI-driven solutions that enhance our operational effectiveness and drive innovation. Your work will directly contribute to our strategic goals, making your role critical to our success.

If your skills, experience, and qualifications match those in this job overview, do not delay your application.

ResponsibilitiesDesign and execute data-driven projects that align with organizational goalsDevelop custom data models and algorithms to apply to data setsUse predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomesCoordinate with different functional teams to implement models and monitor outcomesDevelop processes and tools to monitor and analyze model performance and data accuracy

RequirementsAdvanced degree in Data Science, Computer Science, Statistics, or a related fieldProven experience as a data analyst or data scientistExperience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data setsKnowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacksStrong problem-solving skills with an emphasis on product development

JOBS ADVERTISED IN THE HUB ARE FOR 3RD PARTIES AND APPLICATIONS ARE MANAGED BY 3RD PARTIES, NOT THE HUB

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 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.

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.

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.