Mission Systems Engineer: AI-Driven Modelling & Leadership (Hybrid)

QinetiQ Security & Defence Contractors; Lincoln; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading defence technology firm in Lincoln seeks a Mission Systems Engineer to lead the development, modelling, and integration of mission systems. You will mentor junior engineers, utilize cutting-edge technologies, and apply AI and machine learning. This full-time role offers a competitive salary, hybrid working arrangements, and focuses on enhancing operational effectiveness. Candidates should have a relevant STEM degree and strong programming skills in MATLAB, Python, or C.

Benefits

Matched contribution pension scheme

Generous holiday allowance

Health Cash Plan and Private Medical Insurance

Employee discount portal

Support for Armed Forces community

Volunteering opportunities

Qualifications

• Extensive experience in modelling, simulation or systems engineering.
• Proficiency in coding in one or more major programming languages (MATLAB, Python, C, C#).
• Experience with digital modelling and algorithm development.
• Ability to lead and mentor multi-disciplinary teams.

Responsibilities

• Lead the development and enhancement of digital models of mission systems.
• Oversee software and algorithm implementation.
• Drive data fusion and algorithm development.
• Mentor and support junior engineers.
• Support integration of complex mission systems.

Skills

Modelling and simulation

Proficiency in MATLAB

Proficiency in Python

Proficiency in C

Algorithm development

AI and machine learning applications

Mentoring skills

Education

STEM degree in Physics, Applied Mathematics or Engineering

Tools

MATLAB

Python

C

Job description

A leading defence technology firm in Lincoln seeks a Mission Systems Engineer to lead the development, modelling, and integration of mission systems. You will mentor junior engineers, utilize cutting-edge technologies, and apply AI and machine learning. This full-time role offers a competitive salary, hybrid working arrangements, and focuses on enhancing operational effectiveness. Candidates should have a relevant STEM degree and strong programming skills in MATLAB, Python, or C.