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Senior Application Security/DevSecOps Engineer embedding security into the SDLC for a health research charity, using Azure, KQL, Kubernetes, CI/CD pipelines, and security-as-code.
Senior Data Engineer designing and building scalable data pipelines with Python, SQL, Snowflake, dbt, and orchestration tools (Dagster/Airflow) on AWS for a UK venture-backed tech scale-up.
Builds and deploys AI-driven demand and price response models for fuel/convenience retail pricing, designing experiments, mentoring teams, and ensuring production model quality.
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.
Design and build scalable batch and streaming data pipelines using Python, SQL, Pyspark, and Databricks for a car-financing company, ensuring data quality, observability, and alignment with business needs.
Vill du vara med och förändra pensionsbranschen? Är du en kreativ problemlösare med en passion för att strukturera och organisera information? Brinner du för att skapa affärsvärde utifrån data? Då är du den vi söker!…
ABOUT APPLY APPLY is the Agentic Customer Experience (ACx) partner for the world's most ambitious consumer and entertainment brands. We bring together deep domain expertise across Retail, CPG, Sports, and Media…
You engineer production-grade ML systems for rail-inspection data, turning prototypes into reliable, scheduled pipelines and APIs that run on AWS and handle years of sensor data.
The ML Developer will build and scale machine learning models and data pipelines for Sber's behavioral science laboratory. The role involves fine-tuning LLMs, designing RAG architectures, and deploying production-ready AI solutions using a stack including Python, FastAPI, and various MLOps tools.
Designs and optimizes ETL pipelines, MLOps workflows, and data lakehouse architecture to power analytics and AI/ML systems for an edtech company.
Build and own Owner’s data platform—designing scalable pipelines, transforming raw data into trusted analytics, and enabling AI-driven decision-making for local businesses.
Build and maintain dbt models and SQL transformations in BigQuery/ClickHouse to power reliable analytics and reporting across health, education, and media products.
Develops and scales predictive modeling platforms (embedding-based sequence encoders, survival models, gradient-boosted decision trees) to identify vulnerabilities in housing, health, and social domains using ML pipelines, containerized systems, and responsible AI practices.
Build and own end-to-end data pipelines from production databases into a governed lakehouse and Snowflake warehouse, transforming raw data into trusted metrics for analytics, AI, and business teams.
Design and maintain MLOps infrastructure and pipelines to streamline ML model development, training, and deployment for AI-powered developer tools.
The Senior Data Engineer will design and implement end-to-end AI features, including data pipelines, Generative AI, and agentic workflows. The role involves building scalable systems using Python, SQL, and modern frameworks like LangChain and Spark while managing MLOps practices across major cloud platforms.
Lead Clay’s Data Science & Analytics team to set product strategy, design metrics, and drive data-informed decisions using AI-native tools like Monty.
The Opportunity We're looking for a Data Engineer who can translate the needs of a growing finance business into clean, reliable data systems. You'll work across a range of sources, from Bloomberg feeds to…
Build and operate high-reliability data pipelines that ingest cardiac device data into a MedTech platform, using Python/TypeScript on AWS with Temporal and Kubernetes.
Build and maintain dbt data models in Snowflake to power analytics and AI across government ERP products, owning pipelines from ingestion to CI/CD deployment.
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