AI Solution Engineer

RTX
United Kingdom
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Collaboration","Communication","Problem-solving"]

Design, develop, and deploy AI/ML solutions that align with British Army training objectives under OMNIA’s architecture principles. Build and maintain end-to-end ML pipelines (data preprocessing, feature engineering, training, validation, and performance evaluation), then integrate models into secure environments with DevSecOps-compatible deployment. Monitor deployed models, apply tuning or retraining, and promote ethical AI via bias mitigation and data governance, while documenting work and communicating insights to stakeholders.

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FursaFursa
RTX
RTX
5 hours ago

AI Solution Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Design, develop, and deploy AI/ML solutions that align with British Army training objectives under OMNIA’s architecture principles. Build and maintain end-to-end ML pipelines (data preprocessing, feature engineering, training, validation, and performance evaluation), then integrate models into secure environments with DevSecOps-compatible deployment. Monitor deployed models, apply tuning or retraining, and promote ethical AI via bias mitigation and data governance, while documenting work and communicating insights to stakeholders.
Location: United Kingdom
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key 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, including ML pipelines (data preprocessing, feature engineering, training, validation, and evaluation).
  • •Integrate AI capabilities into secure operational environments, ensuring compatibility with DevSecOps pipelines and platform constraints.
  • •Monitor deployed models, analyze performance metrics, and implement tuning or retraining strategies to maintain operational effectiveness.
  • •Collaborate with data engineers and software teams, apply ethical AI principles (bias mitigation, data governance, compliance), and produce technical documentation and stakeholder-facing briefings.

Key Requirements

  • •Python programming skills for AI/ML development.
  • •Experience with at least one major ML framework (e.g., PyTorch, TensorFlow, scikit-learn).
  • •Experience building and maintaining end-to-end ML pipelines and deploying ML models to production environments.
  • •Experience integrating ML components into software systems via APIs or microservices.
  • •Security cleared (SC or above) or the ability to obtain SC or above.
Education:Bachelor's
Skills:CollaborationCommunicationProblem-solving
Tech Stack:PythonPyTorchTensorFlowScikit-learnGitAPIMicroservicesCI/CDDockerKubernetesDevSecOpsMLflowKubeflowOpenShiftSparkAirflowDatabricksFeature engineeringModel monitoringML pipelines

Eligibility

Security Clearance:SC

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website