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Build predictive models and analytics to improve British Army training effectiveness using Python/R, SQL and ML, turning training data into actionable insights for senior leaders.
OVERVIEW Hendall is currently seeking a Senior Manager of Statistical Analysis and Quality Control to serve as the senior statistical, quality control, and behavioral health data lead on a project team supporting the…
Data Scientist consulting to Federal clients, designing and building AI/ML models, ETL/ELT pipelines, and LLM-based solutions using Python, SQL, Databricks, and cloud platforms (Azure/AWS), while engaging directly with stakeholders.
Designs, builds, and deploys enterprise-grade ML models and data science solutions to solve complex business problems using Python, SQL, and cloud platforms.
Designs and optimizes large-scale pre-training strategies for AI language models, focusing on data engineering, distributed training, and long-context techniques to enhance model performance.
As an AI/ML Engineer, you'll design, create, and implement complete AI systems that transform client operations, increase data accessibility, and optimize AI/ML systems. You'll work with technologies like TensorFlow, PyTorch, and other ML frameworks to build production-grade solutions for Defense and Intelligence sectors.
Develops, implements, and supports data visualization tools and dashboards for government/missile/space domains, using SQL, Power BI, and related tech to build, troubleshoot, and document data workflows.
Senior Solutions Engineer on the Expansion Team driving upsell and cross-sell for existing Darktrace cybersecurity customers through discovery, solution architecture across hybrid/multi-cloud environments, and SOC tool integration (SIEM, SOAR, EDR, NGFW).
Data Scientist II building ML, NLP, and generative AI systems for clinical and scientific knowledge discovery and evidence extraction at Elsevier, using Python, LLMs, and standard ML/data science libraries.
Lead AI and data science strategy across ML, NLP, search, and generative AI to build advanced knowledge-discovery systems for Elsevier's healthcare education and scientific research products.
Senior Program Manager driving end-to-end delivery of multilingual AI initiatives—localization, language-data pipelines, and multilingual model workstreams—for enterprise clients at an AI data foundry.
The Program Manager leads global eDiscovery initiatives by managing technology roadmaps, vendor partnerships, and the implementation of AI-powered legal tools. This role bridges the gap between engineering, legal, and vendor teams to automate workflows and improve operational efficiency.
Design and build production NLP pipelines extracting entities, claims, and summaries from scientific text, own model evaluations end-to-end, and contribute to agentic AI applications using Python, LLMs, and orchestration tools like Airflow and Dagster.
Designs and builds Databricks/Delta Lake data pipelines, Python/SQL transformations, and data models to support IT demand management and reporting, ensuring scalable lakehouse patterns for ingestion, harmonization, and downstream consumption. Collaborates with cross-functional teams to translate business needs into technical solutions and maintain production data quality.
Analyzes quality performance, warranty, and COPQ data for a residential cabinet manufacturer using SQL, Snowflake, PowerBI, and statistical tools to deliver insights and drive data-driven decision-making across quality and operations.
Leads AI-driven software development for healthcare tech, integrating NLP, computer vision, and generative models into scalable systems while mentoring engineers and driving AI-first strategies.
The Director of Data Science will lead a team in developing and deploying AI/ML models to improve patient care and operational efficiency at CenterWell. This role involves collaborating with product, engineering, and clinical teams to manage the full AI lifecycle, from prototyping to production, while ensuring adherence to responsible AI standards.
Designs and oversees large-scale data and AI architectures, balancing latency, cost, and scalability for Michelin’s enterprise systems. Focuses on Lakehouse (Delta Lake/ADLS Gen2), ML pipelines (Azure ML/AKS), and data models (PostgreSQL/Snowflake) while ensuring security and compliance.
Job Description Summary: The Coca‑Cola Company, innovation starts with the consumer, and we are passionate about translating deep insights into breakthrough solutions that shape the future of beverages globally. In a…
The Principal AI Software Engineer will architect enterprise-grade AI solutions, integrating LLMs, RAG, and agent workflows into high-availability systems. The role involves leading cross-functional teams, setting technical standards for AI development, and optimizing performance and costs across cloud-based infrastructure.
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