Algorithm Engineer

Filton
9 months ago
Applications closed

Related Jobs

View all jobs

Freelance Spatial AI and Machine Learning Consultant

Freelance Spatial AI and Machine Learning Consulta - Remote

Machine Learning Researcher, Siri Speech

Lead Data Scientist

Lead Data Scientist

Senior Data Scientist

As an Algorithm Specialist, you will have the opportunity to work on complex and exciting concepts and products as part of a passionate team of specialist engineers; and be interacting with other subject areas like Simulation and Modelling, Image Processing, Software, Navigation Sensors, Hardware-in-the Loop, Systems Design & Validation, Seekers & Sensors, Datalinks and Technical Quality.

You’ll develop innovative algorithms in the areas of Control, Navigation, Guidance, Tracking, Data Fusion, and Mission Planning. You will be exposed to ground breaking technological innovations and play a meaningful role through the development of our complex weapon systems in all stages of the lifecycle.

Please note, we are currently recruiting for a number of projects including FCAS/Tempest.

What we're looking for from you:

  • Domain knowledge such as Flight Dynamics, Aerodynamics, Sensors, Servo Systems, Actuators, Autonomous Systems, Robotics, or Mechatronics

  • Algorithms knowledge such as Modern/Classical Control, Navigation, Data Fusion, Tracking and Guidance, Machine Learning

  • Tools and Libraries such as Matlab, Simulink, Python, C/C++, Py Torch, Open AI-Gym/Universe, Model based design

  • Experience of algorithm research and/or product development and support

  • A keen curiosity about innovative technologies and their applications

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.