Spektrum
aerospace and defence
MachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Machine Learning Engineer at Spektrum. Skills: Machine Learning, AI, MLOps, Python, Data Pipelines. Apply established machine learning and AI techniques to new problems and datasets. Build, optimize, and maintain machine learning and AI models and supporting pipelines”
What You'll Achieve.
Deliver secure, reliable, and maintainable solutions; Support well-engineered, repeatable, and secure build/release processes; Validate and accept completed ML/AI modules against agreed functional, quality, and performance criteria
Industry & Context.
Apply established machine learning and AI techniques to new problems and datasets; Identify issues in models, pipelines, and recommend and implement improvements; Apply data science techniques to new problems and datasets; Identify and implement opportunities to improve training data, features, and model performance
Some travel to other NATO sites may be required, Valid National or NATO Secret personal security clearance, Working in air-gapped / restricted-network environments (preferred)
What They're Looking For.
Must Have
5+ years of hands-on experience building ML/AI solutions in Python, Foundations in machine learning concepts, Foundations in software engineering, Foundations in production-grade development practices, Proven experience designing, developing, optimizing, and maintaining end-to-end AI/ML pipelines (data processing, training, evaluation, deployment, and monitoring), Track record in model evaluation and performance measurement, including defining metrics, running assessments, and monitoring model quality over time, Experience applying and adapting pre-trained models (including Generative AI/LLMs) to solve specific business use cases, Solid experience with MLOps practices: version control, experiment tracking, model packaging, deployment, monitoring, and automation, Proficiency with CI/CD pipelines and DevOps best practices (e.g., Git-based workflows, build/release automation), Practical experience with containerization (Docker, Podman) and orchestration using Kubernetes, including infrastructure provisioning and operationalization in cloud environments, Experience with workflow orchestration tools such as Apache Airflow and/or Argo Workflows, Experience building and maintaining REST APIs, ideally for serving ML models and AI services, Experience working with SQL and NoSQL databases
Nice to Have
Experience building production-grade AI agent backends, e.g., using LangChain or pydantic-ai, wrapped in FastAPI services, Full-stack experience with TypeScript frameworks such as Next.js, Experience working in air-gapped / restricted-network environments
What You'll Do.
Apply established machine learning and AI techniques to new problems and datasets
and maintain machine learning and AI models and supporting pipelines
Evaluate and monitor ML/AI system outcomes
Identify issues in models
and recommend and implement improvements
and maintain moderately complex programs/scripts to support ML development and deployment
Follow agreed engineering standards
and best practices to deliver secure
and maintainable solutions
and communicate risks
and dependencies in a timely manner
Elicit requirements for ML/AI lifecycle practices
Select and implement appropriate lifecycle practices for components and microservices within the ML/AI solution
Deploy automation to support well-engineered
and secure build/release processes
Define ML/AI modules needed for integration builds and produce build definitions for each release/generation of the solution
Validate and accept completed ML/AI modules against agreed functional
and performance criteria
Apply data science techniques to new problems and datasets
using specialized programming approaches where needed
Identify and implement opportunities to improve training data
and model performance
Build and maintain data pipelines using data engineering standards and tools (ETL/ELT)
Support monitoring of emerging technologies and contribute to internal reports
and knowledge sharing
How You'll Work.
Team & Collaboration
Collaborate with teammates through code reviews, design reviews, and shared ownership of deliverables
Communication Scope
Communicate risks, blockers, and dependencies in a timely manner
Process & Methodology
Monitor progress, Report status, Communicate risks, blockers, and dependencies
Full Job Description
Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great new talent to our team and look forward to hearing from you. Spektrum supports apex purchasers (NATO, UN, EU, and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects. Who we are supporting The NATO Communication and Information Agency (NCIA) is responsible for providing secure and effective communications and information technology (IT) services to NATO's member countries and its partners. The agency was established in 2012 and is headquartered in Brussels, Belgium. The NCIA provides a wide range of services, including: Cyber Security: The NCIA provides advanced cybersecurity solutions to protect NATO's communication networks and information systems against cyber threats. Command and Control Systems: The NCIA develops and maintains the systems used by NATO's military commanders to plan and execute operations. Satellite Communications: The NCIA provides satellite communications services to enable secure and reliable communications between NATO forces. Electronic Warfare: The NCIA provides electronic warfare services to support NATO's mission to detect, deny, and defeat threats to its communication networks. Information Management: The NCIA manages NATO's information technology infrastructure, including its databases, applications, and servers. Overall, the NCIA plays a critical role in ensuring the security and effectiveness of NATO's communication and information technology capabilities. The program Assistance and Advisory Service (AAS) The NATO Communications and Information Agency (NCI Agency) is NATO’s principal C3 capability deliverer and CIS service provider. It provides
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