AI Solution Engineer

Salary: £90,000 - 90,000 per year

Requirements:

• Python programming skills for AI/ML development.
• Experience with at least one major ML framework such as PyTorch, TensorFlow, or scikit-learn.
• Experience building and maintaining end-to-end ML pipelines, including data ingestion, preprocessing, training, evaluation, deployment, and production support.
• Understanding of feature engineering, model validation, and performance evaluation techniques.
• Experience integrating ML components into software systems via APIs or microservices.
• Experience working with version control such as Git and collaborative engineering practices.
• Experience contributing to CI/CD pipelines and containerised deployments such as Docker and Kubernetes.
• Experience working in cloud or controlled compute environments.
• Ability to document technical solutions for maintainability, audit, and operational support.
• Understanding of secure coding principles and data protection requirements.
• Awareness of responsible AI considerations, including bias mitigation, explainability, and privacy.
• Strong analytical and problem-solving capability.
• Ability to communicate technical concepts to non-technical stakeholders.
• Experience collaborating within cross-functional engineering teams.
• Security cleared, or ability to obtain SC clearance or above.
• Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related discipline, or equivalent experience.
• Postgraduate qualification in AI, Data Science, or a related field is desirable.
• Ability to work within regulated or governed environments and frameworks is desirable.
• Relevant cloud, AI, or security certifications are desirable.
• Experience deploying ML models into production environments is desirable.
• Experience with Kubernetes, OpenShift, or cloud-native deployment architectures is desirable.
• Experience with MLOps tooling such as MLflow, Kubeflow, or model monitoring platforms is desirable.
• Experience applying DevSecOps practices within cloud or controlled environments is desirable.
• Exposure to large language models or generative AI systems is desirable.
• Experience with data engineering tools such as Spark, Airflow, or Databricks is desirable.
• Experience applying AI and automation to operational or productivity-focused use cases is desirable.
• Experience working in secure, restricted, or air-gapped environments is desirable.
• Experience supporting systems subject to accreditation or compliance processes is desirable.
• Minimum 5 years of prior relevant experience, or 3 years with an advanced degree, is typically required.

Responsibilities:

• Support the development and implementation of AI/ML solutions aligned with Army training objectives and OMNIA architecture principles.
• Contribute to the design, development, and deployment of AI/ML solutions for Army training use cases.
• Support the development and maintenance of ML pipelines, including data preprocessing, feature engineering, model training, validation, and performance evaluation.
• Support integration of AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints.
• Monitor deployed models, analyse performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness.
• Collaborate with data engineers and software teams to support scalable, maintainable, and secure AI components.
• Review and apply ethical AI principles, including bias mitigation, data governance, and regulatory compliance in defence contexts.
• Support the production of technical documentation to improve maintainability, auditability, and knowledge transfer.
• Support stakeholder engagement through demonstrations, technical briefings, and translation of complex AI concepts into accessible insights.
• Investigate emerging AI tools and platforms for applicability to Army training use cases.
• Support the development of technical capability through structured learning.
• Carry out other tasks required to deliver the programme.

Technologies:

• AI
• Airflow
• CI/CD
• Cloud
• Databricks
• DevSecOps
• Docker
• Git
• Support
• Kubeflow
• Kubernetes
• MLflow
• MLOps
• Model Training
• OpenShift
• PyTorch
• Python
• Security
• Spark
• TensorFlow
• microservices
• Architect
• Matrix

More:

We are partnering with Raytheon UK and OMNIA Training to hire an AI Solution Engineer based in Warminster, Wiltshire, in a hybrid role. OMNIA Training brings together innovative defence training organisations to transform British Army collective training and help create the best-trained Army in the world. We operate within a high-impact, collaborative mission environment backed by British innovation and world-class experts, and we offer a strong benefits package, ongoing development opportunities, and clear pathways for career progression. We are an equal opportunity employer committed to inclusion, continuous improvement, and delivering real-world impact for national defence.

last updated 33 week of 2026