AI Research Lead Engineering Simulation

We are seeking an experienced AI Research Lead to support the development of advanced AI solutions involving Large Language Models (LLMs) Vision Language Models (VLMs) Computer Vision and Multimodal AI systems. The successful candidate will combine strong research expertise with hands-on engineering experience leading the design evaluation and deployment of innovative AI capabilities from concept through to production.

This role requires an individual who can bridge academic research and industrial application translating cutting-edge AI techniques into scalable production-ready solutions.

Key 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.

Qualifications :

Required Skills:

• Mechanical engineering simulation or computational modelling background.
• Experience with FEA CFD and/or multiphysics simulation.
• Strong Python development skills.
• Experience applying AI/ML techniques to engineering and simulation problems.
• Experience developing surrogate models reduced-order models or Physics-Informed Neural Networks (PINNs).
• Experience working with engineering simulation platforms such as:
  • ANSYS
  • Abaqus
  • COMSOL
• Experience designing and executing research programmes and validation studies.

AI & Advanced Analytics

• Machine Learning and Deep Learning applied to engineering systems.
• Experience with LLMs and Generative AI technologies.
• Retrieval-Augmented Generation (RAG) and knowledge-based systems.
• Hybrid AI-physics modelling approaches.
• Model validation benchmarking and performance assessment.

Digital Twin & Systems Engineering

• Experience developing or supporting Digital Twin solutions.
• Knowledge of Model-Based Systems Engineering (MBSE).
• Experience with SysML and tools such as:
  • Cameo
  • Capella
  • Enterprise Architect
• Experience integrating simulation environments with system-level engineering processes.

Software & Cloud

• Python development.
• API development and integration.
• Azure (preferred) AWS or GCP.
• Docker and Kubernetes/AKS.
• Microservices and distributed architectures.

Required Qualifications:

• A Bachelors or Masters degree in Engineering or equivalent military experience.
• PhD in Mechanical Engineering Aerospace Engineering Computational Engineering Applied Mathematics Artificial Intelligence or a related discipline.
• Strong academic or industrial research background.

Desirable Skills:

Simulation Software

• Experience with:
  • ANSYS
  • Abaqus
  • COMSOL
  • Other equivalent simulation platforms

Model-Based Systems Engineering (MBSE)

• SysML modelling
• Cameo
• Capella
• Enterprise Architect

Digital Engineering

• Digital Twins
• Lifecycle management integration
• System architecture modelling

Research Credentials

• Publications in AI/simulation fields
• Conference presentations
• Patents
• Research leadership

Additional Information :

Why join us 

We bring together entrepreneurial tech-driven people to deliver innovative solutions for leading companies.

At ALTEN youll work on exciting projects supported by ongoing learning mentoring and clear career development tailored to your goals.

Join a passionate team and help build tomorrow today.

In short you get: 

• A personalised career path and a rewarding management style 
• A huge diversity of engineering projects and industries
• Private Medical Insurance
• Cycle & Tech Scheme 
• Employee assistance programme
• Life insurance & Pension Scheme
• Social atmosphere regular gatherings & team buildings
• Flexible way of working (role dependent)

We are proud to support the Armed Forces Covenant & actively encourage applications from members of the Armed Forces community including veterans reservists service leavers and military spouses/partners. We recognise the value of military skills and experience and are committed to ensuring that no applicant is unfairly disadvantaged during our recruitment and selection processes. 

ALTEN is committed to fostering a diverse and inclusive workplace and values the strength that comes from a global mix of backgrounds and perspectives. We welcome applications from all suitably qualified candidates regardless of background or protected characteristics under the Equality Act 2010. If you require any reasonable adjustments during the recruitment process please let us know. 

This role may require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website . If you are unable to meet this and any associated criteria then your employment may be delayed or rejected . Details of this will be discussed with you at interview.

Remote Work :

No

Employment Type :

Full-time