Explore AI roles · Updated daily

Search curated engineering roles across AI infrastructure, agents, machine learning, and product teams.

Keyboard friendly Save and share roles

Spektrum have a wide range of exciting opportunities in several global locations. We are always looking to add great ...

Fulltime Ai Engineer Machine Learning Ai

Fully remote

View details

Pay found in job post Retrieved from the description. Base pay range $215,280.00/yr - $364,320.00/yr

Machine Learning Robotics Ai

$215k* · Senior Fully remote

View details

Temporary contract | 18 months | Belvaux Are you passionate about research? So are we! Come and join us The Luxembour...

Fulltime Remote Data Science Ai

Fully remote

View details

Are you passionate about turning complex data into intelligent, production-ready solutions while supporting the futur...

Machine Learning Data Science Ai

$66k* · Senior Fully remote

View details

At Apple, we advance the state of the art to improve the lives of our customers worldwide. The European Vision Group ...

Ai Machine Learning Computer Vision Generative Ai

Fully remote

View details

Contract & job type: Fixed-term for 3 years, full-time About us: At the Department of Physiology Anatomy & Genetics (...

Fulltime Ai

Fully remote

View details

Pay found in job post Retrieved from the description. Base pay range $86,000.00/yr - $200,000.00/yr

Ai Engineer Machine Learning Ai

$86k* · Senior Fully remote

View details

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its s...

Machine Learning Generative Ai Ai

$12k* · Senior Fully remote

View details

Mission Safesquare, filiale du groupe SAMSIC, est leader de la sûreté aéroportuaire. Présents sur toute la France, no...

Fulltime Data Science Data Engineer Ai

Fully remote

View details

A propos de l'offre :: Le saviez-vous ? Créateur de l’hypermarché, Carrefour reste fidèle à ses racines tout en se ré...

Data Science Data Engineer Ai

Fully remote

View details

du poste Leader de l’assurance vie en France, nous travaillons au service de nos clients et de la société. Vous rejoi...

Data Science Ai

Fully remote

View details

DES DONNÉES AUX DÉCISIONS. Chez Hilti, nous faisons avancer l’innovation et accélérons le développement de solutions ...

Data Science Ai

Fully remote

View details

We help companies get compensation right. What we get paid at work has a massive impact on our lives, and it’s one of...

Fulltime Data Science Ai

Fully remote

View details

Pay found in job post Retrieved from the description. Base pay range $372,000.00/yr - $600,000.00/yr

Data Science Ai

$372k* · Senior Fully remote

View details

Location/Org Data : Introduction: NATIONAL LEADERS IN PEDIATRIC CARE Ranked among the top 10 pediatric hospitals in t...

Perdiem Data Science Ai

Fully remote

View details

Location: Remote in Europe At Albatross, we’re building the second pillar of AI: a perception layer that understands ...

Fulltime Remote Machine Learning Ai

Fully remote

View details

A fast-growing AI-driven technology company is hiring a full-time Machine Learning Engineer to join their expanding e...

Fulltime Ai Machine Learning Deep Learning

Fully remote

View details

We are looking for a passionate and skilled Artificial Intelligence Engineer to join our growing technology team. The...

Fulltime Remote Ai Ai Engineer

Fully remote

View details

Nosis Bio is an AI biotech on a mission to end chronic disease. Recent breakthroughs in programmable RNA therapeutics...

Fulltime Ai Deep Learning

Fully remote

View details

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa ...

Remote Ai Engineer Machine Learning Ai

$12k* · Senior Fully remote

View details

Selected role

AI/ML Engineer

Spektrum Norfolk, VA

Senior Full-time

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
Allied Command Transformation (ACT)
is NATO's leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO.

The program
Capability Development & Management Support (CDMS)
DCOS Capability Development (CAPDEV)
acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate.

The Requirements Division
will execute all tasks and activities needed to support requirements management for NATO capabilities

The Capability Requirements (CR)
Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams.

The Requirements Forward Branch (Mons)
is responsible for conducting requirements development and management representation and engagement-related functions in Europe.

The Capability Division
coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure

The Capability Forward Branch (Mons)
coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities.

Strategic Plans and Policy (SPP)
supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO's strategic objectives.

Role ID: ACT-CDMS-26-02-B-42
Background

Deputy Chief of Staff Capability Development (DCOS CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and co-ordination of the activities and resources of the Capability Development Directorate. CAPDEV is responsible to:
Identify and prioritize Alliance capability development from short to long term, ensuring coherence between all capabilities within the CAPDEV portfolio.
Lead the determination of required capabilities and prioritization of shortfalls to inform the delivery of materiel and non-materiel solutions across the Doctrine, Organisation, Training, Material, and Leadership, Personnel, Facilities and Interoperability (DOTMLPFI) lines of effort to enable a holistic approach to capability development, ensuring improved interoperability, deployability and sustainability of Alliance Forces.
The future Capability Development Directorate will include enduring functionality to effectively plan and manage coherent through life capability development, aligned to NATO's strategic intent and priorities. The CAPDEV Data and Analytics Office (DAO) is responsible to DCOS for managing the data and platform operations for Capability Lifecycle, Requirements, and P3M data as well as providing analytics as service and enabling self-service analytics for CAPDEV decision makers.
As part of ongoing organisational functional reviews, CAPDEV is in the process of implementing measures for improved capability development planning and management, including the way it collects, manages, analyses and reports on capability development and delivery information, both legacy and current.

Role Duties and Responsibilities

AI/ML Model Development: Design, develop, train, and deploy machine learning models to support forecasting, risk identification, readiness assessment, and decision support across the capability lifecycle.
Advanced Analytics Integration: Integrate AI/ML models into enterprise analytics workflows, dashboards, and reporting solutions to enable operational use by analysts and decision-makers.
Data Preparation and Feature Engineering: Develop and maintain data preparation pipelines, feature engineering processes, and training datasets in coordination with data engineering teams to ensure model accuracy, robustness, and traceability.
Cloud-Based AI/ML Engineering: Implement and operate AI/ML solutions within approved cloud environments, including model training, deployment, and orchestration using secure, scalable architectures.
Model Lifecycle Management: Establish and execute model validation, performance monitoring, retraining, and version control processes to ensure sustained accuracy and operational relevance of deployed models.
Responsible AI Practices: Apply responsible and explainable AI principles, including transparency, bias awareness, and interpretability, appropriate to defence and decision-support contexts.
Automation and Optimization: Identify and implement opportunities to automate analytic workflows, model execution, and data processing to improve efficiency and reduce manual intervention.
Prototyping and Experimentation: Design and deliver proof-of-concept and prototype AI/ML solutions, including exploration of emerging techniques (e.g., large language models or incremental learning), aligned with DAO priorities.
Performance and Scalability Optimization: Optimize AI/ML pipelines and supporting infrastructure to ensure reliable performance under operational workloads and evolving data volumes.
Technical Documentation: Produce and maintain comprehensive technical documentation describing AI/ML models, data dependencies, assumptions, limitations, and operational integration points.
Stakeholder Engagement: Collaborate with analysts, engineers, and stakeholders to translate operational requirements into AI/ML solutions and explain analytic outputs to technical and non-technical audiences.
Knowledge Transfer: Deliver knowledge transfer, mentoring, and technical guidance to DAO personnel to support long-term sustainment of AI/ML capabilities.
Security and Compliance: Ensure AI/ML development and deployment comply with NATO and organizational security, data protection, and classification handling requirements.
Capability Lifecycle Support: Apply AI/ML expertise to support requirements-based planning, capability development, delivery monitoring, and performance assessment activities.
Continuous Improvement: Identify opportunities to enhance AI/ML methods, tooling, and practices in alignment with DAO's Decision Advantage objectives.
Technical Support: Provide ongoing technical support and troubleshooting for AI/ML models, pipelines, and integrated analytic solutions.
Additional Tasks: Perform additional tasks as required by Line Manager. in scope of this labor category.

Essential Skills and Experience

8+ years of progressive professional experience in data science, advanced analytics, and/or machine learning engineering, including experience delivering operational analytics or decision-support solutions in complex enterprise environments.
Demonstrated expertise in machine learning and statistical modeling, including development, training, validation, and deployment of models supporting forecasting, risk analysis, performance assessment, or decision support across business or capability lifecycles.
Demonstrated experience designing and operating automated data pipelines, including ETL/ELT workflows, feature engineering, and data transformation processes to support analytics and AI/ML workloads.
Demonstrated professional experience with cloud-based analytics and AI/ML platforms, including deployment and operation of models and data pipelines in secure, scalable cloud environments.
Demonstrated experience integrating AI/ML solutions into enterprise analytics tools, dashboards, or reporting platforms to support operational use by analysts and decision-makers.
Demonstrated experience with model lifecycle management, including performance monitoring, retraining strategies, version control, documentation, and optimization for production environments.
Demonstrated experience working within governed or regulated environments, including adherence to data governance, security, and compliance requirements relevant to defence, security, or other highly regulated domains.
Demonstrated ability to collaborate across multidisciplinary teams, including analysts, data engineers, platform engineers, and system administrators, to deliver interoperable, production-ready analytics solutions.
Demonstrated ability to communicate complex analytical and AI/ML concepts clearly to both technical and non-technical stakeholders, supporting effective adoption and operational use of delivered solutions.
Demonstrable proficiency in effective oral and written communication, including briefing and coordinating with business stakeholders.

Education

Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative discipline.

Language Proficiency

Advanced Proficiency in English

Working Location

Norfolk, VA, USA

Working Policy

On-Site

Contract Duration

April 2026 – December 2030

Security Clearance

Valid National or NATO Secret personal security clearance

We never know what new opportunities might be just over the horizon. If this opportunity isn't for you please feel free to send us your resume anyway and be the first to know if something suitable for your skills and experience comes up.

Showing 3741–3760 of 11,425 AI roles

1 … 186 187 189 190 572

Find your next AI role

AI/ML Engineer

Machine Learning Engineer, Robotics

DC-26094- POSTDOC/DATA SCIENTIST - AI-DRIVEN CLIMATE RISK MODELLING AND EARLY WARNING SYSTEMS FOR FLASH FLOODS

Senior Data Scientist

Research Scientist Intern - Human-Centric Generative AI

Senior Postdoctoral Research Scientist and Image Analyst

AI/ML Engineer (TS/SCI with CI Poly) {S}

Machine Learning Engineer - VLM/LLM Integration

Data Scientist

Data Analyst / Data Scientist

ALTERNANCE - Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Scientist (L5) - Content Promotion Discovery Performance

Jr. Data Scientist / Per Diem

Applied Scientist

Machine Learning Engineer (NLP / Deep Learning)

Artificial Intelligence Engineer

Senior Deep Learning Engineer

Junior AI/ML Engineer (Remote)