AI Research Lead — Engineering Simulation & Digital Twins

ALTEN Group; West of England; Hybrid; GBP 85,000 - 125,000; Full time

Benefits offered by this job

Private Medical Insurance

Cycle & Tech Scheme

Employee assistance programme

Life insurance & Pension Scheme

Social atmosphere, team events

Flexible working

Job summary

ALTEN Group is seeking an experienced AI Research Lead to advance AI capabilities in engineering simulation, including LLMs, VLMs, CV, and multimodal AI. You will bridge academic research with industrial deployment, driving production‑ready AI solutions that improve accuracy and efficiency across simulation platforms.

The role spans R&D leadership, design, evaluation, and collaboration with engineering, systems, and software teams, with a strong emphasis on scalable, validated results and an

Qualifications

• Bachelor's or Master's degree in Engineering or equivalent military experience.
• PhD in Mechanical/ Aerospace/ Computational Engineering, Applied Math, AI or related discipline.
• Strong academic or industrial research background.

Responsibilities

• Lead R&D activities at the intersection of AI, simulation, and mechanical engineering.
• Develop AI-enabled engineering simulation capabilities.
• Support Digital Twin development and deployment.
• Apply machine learning techniques to improve simulation accuracy and efficiency.
• Bridge research and production deployment of advanced modelling solutions.
• Collaborate with engineering, systems, and software teams on complex technical programmes.

Skills

Python

AI/ML

CFD

Multiphysics

Surrogate models

PINNs

LLMs

RAG

Digital Twin

Python development

Education

Bachelor's or Master's in Engineering

PhD in Mechanical/Aerospace/Computational Engineering/AI

Tools

ANSYS

Abaqus

COMSOL

Azure

AWS

GCP

Docker

Kubernetes

SysML/Cameo/Capella/EA

Job description

ALTEN Group is seeking an experienced AI Research Lead to advance AI capabilities in engineering simulation, including LLMs, VLMs, CV, and multimodal AI. You will bridge academic research with industrial deployment, driving production‑ready AI solutions that improve accuracy and efficiency across simulation platforms.

The role spans R&D leadership, design, evaluation, and collaboration with engineering, systems, and software teams, with a strong emphasis on scalable, validated results and an