Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Software Developer

Rapiscan Systems
Stoke-on-Trent
11 months ago
Applications closed

Related Jobs

View all jobs

Graduate Data Scientist

Computer Vision Tech Lead

Artificial Intelligence Engineer

Artificial Intelligence/Co-pilot Consultant

Artificial Intelligence/Co-pilot Consultant

Artificial Intelligence Test Engineer

Rapiscan are a world leading manufacturer of X-ray machines. Used to detect contraband in shipping containers the industry is turning to AI as a method of increasing productivity and efficiency of inspection.

Job Role:

We are looking for a talented AI Software Developer to join our dynamic team and contribute to our mission of leveraging artificial intelligence to solve complex problems. You will work with data scientists and algorithm engineers to port development algorithms to a production ready format. The candidate is expected to be a fluent developer with knowledge of AI frameworks.

Responsibilities:

  • Research development will typically be achieved in Python, the developer will be responsible for porting the model and supporting pre and post processing code to a robust C# platform, utilising ONNX. Careful confirmation of model and solution integrity, running test sets and evaluating model performance in both a stand-alone and integrated environment is an important element of the role.
  • The developer will also actively develop and curate a range of supporting tools to test and evaluate models to support the data scientists and field operations reducing the time taken to perform training and evaluation.
  • The developer will assist in debugging and testing the algorithms stand alone and within the AI framework Rapiscan has developed for x-ray images.
  • Improvement and ownership of the Insight AI framework, modification to support new algorithms and providing support is also within the scope of work.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and products.

Qualifications and experience:

  • Bachelor’s degree or several years of experience in computer science, data science, software development, or another related field.
  • Good working knowledge of C# / Roslyn, the primary language you will be employing.
  • Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
  • Good understanding of common programming languages used in AI and Python, C++
  • Advantages if the candidate has advanced knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
  • Experience working with large data sets and writing efficient code capable of processing large data streams at speed.

Excellent salary and Company Benefits:

  • 25 days holiday pay plus bank holidays, Car Leasing Scheme, Healthcare Cash Plan and Life Insurance, Pension, birthday paid one day’s leave and two days paid leave to work in a charity of your choice. Cycle to work Scheme, Eden Red benefits and enhanced paternity and maternity pay.

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.