AI Engineer

Stott and May
Dover
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Artificial Intelligence Engineer

GenAI Engineer – Enterprise AI & MLOps

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer / GenAI Engineer / LLM Engineer / Machine Learning Engineer / Data Scientist (GenAI[...]

Job description

Our client, a leading innovator in AI technology, is seeking an AI Engineer to join their dynamic team. This role focuses on integrating AI solutions to enhance business processes and drive enterprise productivity.

Key Responsibilities:

Customer Focus:Prioritize customer needs in every development phase, participate in customer calls, and ensure high-quality outputs.Quality Commitment:Address areas for improvement proactively, ensuring deployments are something to be proud of.Collaboration:Work closely with teammates, offering help whenever possible to foster a supportive work environment.Ownership:Take full responsibility for your tasks, understanding their impact on the overall project.Continuous Learning:Strive to become a leader in your field by learning different parts of the application and aiming to become a full-stack developer.Feedback Culture:Engage in regular feedback sessions and practice gratitude by acknowledging contributions.Blameless Postmortems:Participate in postmortem analyses to learn from mistakes and prevent recurrence.Incremental Development:Focus on small, manageable pull requests to facilitate smoother integration.

Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in developing AI solutions, ideally in a startup environment. Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms and deep learning frameworks (e.g., TensorFlow, PyTorch). Experience with data processing tools and technologies (e.g., Spark, Hadoop) is a plus. Excellent problem-solving skills and ability to thrive in a fast-paced, collaborative environment.


Join a team that is passionate about AI innovation and committed to delivering exceptional value to their clients. Apply today to be part of this exciting 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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

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.