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

Apply Now

Software Engineer - C# / Design and Simulation

Yarnton
7 months ago
Applications closed

Related Jobs

View all jobs

Software Engineer - Graph Data Science

Software Engineer - (Machine Learning Experience a plus) - hybrid

Software Engineer, Machine Learning

Software Engineer, Artificial Intelligence

Software Engineer, Artificial Intelligence

Software Engineer II, Applied Machine Learning

Software Engineer – AI & Simulation
🚀 Redefine Possibilities. Engineer the Future. Make Your Mark.
Looking for an easy, predictable role? This isn’t it. Looking for an opportunity to push limits, tackle real-world technical challenges, and be part of something ground breaking? Keep reading.
We’re talking about cutting-edge software, AI-driven simulation, advancing the boundaries of engineering.
This is a role for someone who thrives on solving complex problems, working alongside top-tier technical minds, and seeing their ideas turn into real-world impact.
💡 Why this role will excite you:

  • Work at the intersection of AI, simulation, and next-gen engineering.
  • Be part of a high-performance team developing software that transforms industries.
  • Get involved in every stage of the development cycle, from concept to implementation.
  • A place where initiative isn’t just welcomed—it’s essential.
  • Fast-paced, ever-evolving, and built for those who love a challenge.
    🛠 What you’ll be doing:
  • Designing and developing cutting-edge software for next-generation industrial applications.
  • Building intelligent algorithms that optimize complex engineering processes.
  • Creating visualization tools that bring raw data to life.
  • Working side by side with specialists in engineering, data science, and physics to push technological boundaries.
    ✅ What makes you a great fit:
  • A top academic record in a STEM subject—you're no stranger to complex problem-solving.
  • A strong grasp of coding principles and software architecture.
  • Proficiency in C# and C++/Python
  • A natural problem-solver with a passion for tech-driven innovation.
  • Someone who doesn’t wait to be told what to do—proactivity is key.
    Humand Talent Solutions and their clients and associates do not discriminate on any of the following and any terminology that suggests that should be made aware to our business ASAP.
    Categories include:
  • gender
  • race
  • religion or belief
  • disability
  • age
  • pregnancy and maternity
  • marriage and civil partnership
  • sexual orientation
  • gender reassignment

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.