AI & Data Science Intern New
Carlisle · Carlisle, USOn-site · Internship · Intern
Senior Artificial Intelligence/Machine Learning Engineer New
Ciklum · Remote, BrazilRemote · Senior
Data Scientist New
HF Sinclair · Dallas, US
ML Software Engineering Intern (PhD) New
Bridge Neurotech, Inc. · Redwood City, USInternship · Intern
Neuroscience Research Intern (PhD) New
Bridge Neurotech, Inc. · Redwood City, USInternship · Intern
FX Gen AI Engineer - (Python) - VP New
Citi · London, United KingdomHybrid · Full-time
AI Full Stack Developer New
Booz Allen Hamilton · McLean, US $69K–$158K· Full-time · Mid
ML Intern New
Clera-AI · RemoteRemote · Full-time · Intern
Stage - Data Scientist – IA pour la modélisation de la propagation radio F/H New
Orange Business · Belfort, France €1K–€2K· Internship · Intern
Senior - Data Scientist & AI Consultant New
Sia · Paris, France+7 more Senior
+10K new in the last hour
Carlisle · Posted Nov 10, 2026
Carlisle, Pennsylvania, United States On-site Internship · Intern
First 2 pages free · sign up to see every job
The AI & Data Science Engineering Intern will support cutting‑edge projects at the intersection of software engineering, applied AI, and materials innovation.
Assist in the design and development of agentic AI workflows, integrating large language models with data sources and multi-agent orchestration. Develop and maintain backend APIs and services using frameworks such as FastAPI to support AI and data science applications. Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders. Contribute to computer vision workflows, such as SEM image analysis and defect detection, to automate materials characterization. Perform data wrangling, exploratory analysis, and statistical modeling to uncover insights from experimental, operational, and customer datasets. Master’s or PhD in Computer Science, Data Science, Engineering, or a related field Ciklum · Posted Nov 10, 2026
Remote, Brazil Remote Senior 5+ yearsLead AI/ML engineering for a global partner in the arts and entertainment ticketing industry, owning the full ML lifecycle from problem framing to deployment and monitoring.
Own the ML lifecycle: take models from problem framing through training, deployment and monitoring Frame problems: turn business goals into ML tasks and metrics Build models: classical ML, time series and NLP, plus LLM and RAG features Evaluate rigorously: sound validation, the right metrics, and evals that gate every release Ship and run models: deploy with Docker and CI/CD on cloud ML platforms, and monitor drift and cost Nice to have: Anomaly detection Nice to have: forecasting Nice to have: Recommender systems Nice to have: ranking Nice to have: Fine-tuning (LoRA/PEFT) HF Sinclair · Posted Nov 10, 2026
Dallas, Texas, United States 6+ yearsDevelop and improve AI/ML solutions for enterprise decision-making and automation.
Translate business challenges into AI/ML use cases Assess data quality and readiness Design, train, validate, and optimize machine learning models Evaluate and fine-tune pre-trained models Build and improve GenAI and Agentic AI solutions Bachelor's Degree in Chemical Engineering, Mechanical Engineering, Computer Science or equivalent Nice to have: MLflow Nice to have: Kubeflow Nice to have: Snowflake Nice to have: Docker Bridge Neurotech, Inc. · Posted Oct 12, 2026
Redwood City, California, United States Internship · InternInternship focused on developing machine learning models and infrastructure for functional ultrasound imaging and neural decoding.
Design, implement, train, and evaluate models for fUSI reconstruction, signal preprocessing, or downstream decoding Run experiments, form and test hypotheses, design ablations, tune architectures, losses, and training schedules Extend models to new data regimes and build necessary preprocessing Contribute to training and evaluation infrastructure including experiment tracking, metrics, and regression checks Debug numerical and performance problems such as NaNs, shape bugs, and GPU memory ceilings PhD in machine learning, computer science, electrical engineering, computational neuroscience, physics, or a related field Nice to have: neural operators (FNO) Nice to have: implicit neural representations Nice to have: physics-informed machine learning architectures Nice to have: neural decoding Bridge Neurotech, Inc. · Posted Oct 12, 2026
Redwood City, California, United States Internship · InternPhD student in neuroscience or related field to conduct research on functional ultrasound imaging and AI-based neural decoding.
Help design and run data collection for our research study, including on-site acquisition sessions with research participants. Work with our imaging scientists to validate ultrasound sequences and check data quality from acquisition through analysis. Build and maintain pipelines that organize, convert (for example to BIDS), clean, and version research datasets. Analyze neuroimaging data with our collaborating neuroscientists, including statistical analysis, signal processing, and visualization. Work with the ML team on neural decoders and encoders trained on this data, contributing to feature design and performance evaluation. PhD in neuroscience, biomedical engineering, electrical engineering, data science, or a closely related field Nice to have: ultrasound imaging Nice to have: functional ultrasound (fUSI) Nice to have: machine learning frameworks (PyTorch, TensorFlow) Nice to have: clinical environments Citi · Posted Nov 10, 2026
London, England, United Kingdom Hybrid Full-timeSenior Gen AI Engineer responsible for developing and implementing data-driven models and robust analytics pipelines for FX data.
competitive base salary (which is annually reviewed)
Engineer production scale FX data and analytics Gen AI solutions Collaborate with stakeholders across sales and trading to understand data needs Develop and integrate functionality to ensure adherence with best-practices in data management Contribute to shaping and executing the overall data strategy for FX Design, Development, Testing of new features in the applications Master’s degree or above (or equivalent education) in a STEM discipline Nice to have: Gen AI technologies (Agents, MCP) Nice to have: Long Chain / Llama Index Nice to have: Fine tuning of Models Nice to have: KDB knowledge Booz Allen Hamilton · Posted Nov 10, 2026
McLean, Virginia, United States Full-time · Mid $69K–$158K per year 6+ yearsDesign, develop, and deploy enterprise AI/ML solutions across the full application stack.
The projected compensation range for this position is $69,400.00 to $158,000.00 (annualized USD).
Design, develop, test, and maintain full-stack AI/ML applications and services Build frontend interfaces and user workflows for interacting with AI/ML capabilities Develop backend services, APIs, and integrations using Python and frameworks such as FastAPI, Flask, or similar technologies Build and manage AI/ML pipelines for experimentation, training, evaluation, and deployment Operationalize machine learning models in production environments, including containers, APIs, and cloud services Bachelor’s degree in a Computer Science field Nice to have: feature stores Nice to have: model registries Nice to have: model-serving platforms Nice to have: cloud-native application development Clera-AI · Posted Nov 10, 2026
Remote Remote Full-time · Intern 0+ yearsInternship focused on improving large language model efficiency and quality.
Experiment with language model configurations to identify optimization opportunities Build and maintain data pipelines for model training and evaluation workflows Analyze performance metrics to assess model quality and efficiency Contribute to internal tools that monitor and optimize model behavior Follow current machine learning and language model research and apply relevant findings to product improvements Bachelor's degree in computer science, data science, engineering, mathematics, or related field Nice to have: building machine learning data pipelines Nice to have: monitoring systems for tracking model performance Orange Business · Posted Nov 11, 2026
Belfort, France Internship · Intern €1K–€2K per monthStagiaire en Data Science travaillant sur la modélisation de la propagation radio au sein de l'équipe de recherche Orange.
L'indemnité mensuelle brute de stage proposée est comprise entre 1 000 et 1 500 euros selon votre niveau d'études en cours.
Reprendre le code du modèle IA et le coupler à des bases de données géographiques Déterminer et évaluer les variables utiles pour la propagation radio Fusionner les variables explicatives avec celles générées par le modèle historique Préparer les données : nettoyage, harmonisation, traitement des valeurs manquantes Analyser les données spatiales et statistiques Master 2 en Mathématiques Appliquées, Data Science ou Informatique/Développement Diplôme d'ingénieur Sia · Posted Nov 10, 2026
Paris, Île-de-France, France +7 more Senior 1+ yearsConsultant senior en Data Science et IA, responsable de la conception, du développement et du déploiement de solutions d’IA pour les clients.
Paris, Île-de-France, France Montréal, Quebec, Canada Bruxelles, Belgium Amsterdam, North Holland, Netherlands New-York, United States comprehensive company-paid medical insurance mental health programs 5 undocumented sick-leave days per year internal events (meetups, conferences, workshops) Udemy license
Medical Insurance Vision Insurance Dental Insurance Paid Time-Off 401(k) Retirement Plan with match
27 days annual leave (plus bank holidays) Discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan
health life disability financial retirement
Activités Sociales et Culturelles Accès subventionné au restaurant d'entreprise Titres restaurant Prise en charge à hauteur de 50% de l'abonnement aux transports en commun
Londres, United Kingdom
Show all 8 locations Hong Kong, China Middle East Un salaire compétitif combiné à des nombreuses opportunités de formation
Développer des solutions d’IA et d’IA générative Gérer des projets de bout en bout avec forte autonomie Encadrer les consultants juniors et confirmés Gérer la relation client et assurer la satisfaction Contribuer à la veille technologique et à la R&D Diplôme d’École d’Ingénieur ou formation de haut niveau en mathématiques appliquées, statistiques, économétrie ou IA Nice to have: CI/CD Nice to have: Certifications cloud Formation continue Environnement international Télétravail Accès à des centres d’excellence