Artificial Intelligence Engineer

SCC
Belfast
2 months ago
Applications closed

Related Jobs

View all jobs

Computer Vision and Artificial Intelligence Engineer

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

Software Engineer, Applied Artificial Intelligence (AI)

Software Engineer, Applied Artificial Intelligence (AI)

Geospatial Artificial Intelligence Research Scientist

Artificial Intelligence Manager (18-month FTC)

AI Engineer/Data Scientist - DV Cleared - via Umbrella - 3-month contract - Belfast - SCC Flex Contract


We are looking for an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who holds DV clearance. to join a major AI initiative. This project involves working closely with a leading technology partner, leveraging their platform and infrastructure to build advanced AI capabilities. The ideal candidate will have strong expertise in AI model development and layering.


Your responsibilities as the AI Engineer/Data Scientist:

  • Design and implement AI models to support complex operational requirements.
  • Collaborate with technology partners and internal teams to integrate AI solutions into existing infrastructure.
  • Develop solutions for:
  • Speech-to-text transcription and voice content translation.
  • Summarization of voice and text data.
  • Entity extraction and data mining.
  • Pattern recognition and predictive analytics for subjects of interest.
  • Assist with automation of internal processes, including drafting legal authorities, managing records, and redaction.
  • Support capability benchmarking and gap analysis.
  • Contribute to consolidation or decommissioning of obsolete software solutions.
  • Provide AI-driven assistance for financial analysis, recruitment, and operational efficiency.


As a successful AI Engineer/Data Scientist, you will have:

  • Proven experience in AI engineering, machine learning, or data science.
  • Strong knowledge of NLP, speech recognition, and predictive modelling.
  • Familiarity with AI deployment and integration with enterprise platforms.
  • DV clearance (Developed Vetting) - essential; SC clearance may be considered.
  • Ability to work on sensitive projects requiring high levels of confidentiality.
  • Excellent problem-solving and communication skills.


If you are the AI Engineer/Data Scientist we are after, apply now with your CV. References required.


NOTE: At SCC, we take the privacy and security of your information very seriously, any information we hold will be by current data protection legislation. Upon submitting your application SCC will process your information in line with our privacy policy which can be found on our website under the Legal section -> Privacy Notice -> Flexible Resourcing.

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.