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Job Title: MLOps Engineer Location: Leicester / Bexhill / London – Hybrid Unfortunately we are unable to offer sponsorship for this position Welcome to Hastings Direct We’re a digital insurance provider with a clear…
Build and maintain climate risk data pipelines and models for a major bank, integrating ESG data to support regulatory disclosures and risk metrics.
Builds predictive AI/ML models and data pipelines to analyze portfolio performance, automate decision-making, and forecast market trends for Motorola’s safety/security tech products.
Build and ship recommendation models that power a personalized shopping feed, using ML to learn user taste from sparse signals and scale across millions of products.
Build and maintain Python tools and data pipelines for analysts and engineers on a defense program, using libraries like pandas and Matplotlib to clean, transform, and visualize large datasets.
Analyzes structured/unstructured data for the U.S. Marine Corps, building dashboards, pipelines, and visualizations to support strategic decisions and communication strategies using Python, SQL, and Microsoft Power Platform tools.
Design and maintain cloud-native Snowflake data pipelines for Asset-Based Finance and mortgage analytics, building scalable ETL/ELT workflows and ensuring financial data integrity.
Designs and deploys advanced AI/ML models (4-7 years exp) using Agentic AI frameworks like LangChain, AWS Bedrock, and LLMs for business problem-solving, with a focus on RAG pipelines, prompt engineering, and secure AI agent workflows on AWS.
Lead the enterprise rollout of GitHub Copilot and build AI agents/agentic workflows to accelerate software delivery at FIS, using LLMs, Python, LangChain, and cloud platforms.
Design, develop, and integrate real-time and digital simulation models in C++, Java, and Python into a distributed air and missile defense simulation system for a defense contractor in Huntsville, AL.
Part-time/temporary Bioinformatics Data Scientist designing and maintaining pipelines for multi-omics data (RNA-seq, proteomics, flow cytometry), building dashboards, and collaborating with wet-lab and clinical teams using Python, pipeline frameworks, and cloud platforms.
Lead end-to-end deep learning and graph neural network solutions on Databricks Lakehouse, driving AI strategy and mentoring teams at a major grocery retailer.
Required Graduation Period : 2025.6.1 - 2027.8.31 Description: At P&G, we use data and technology to solve challenges range from developing creative products, personalizing consumer experiences, go-to-market…
Job Description The Analyst 2 plays a critical role in conducting data analysis, generating insights, and providing strategic recommendations to support decision-making processes within the department. This position…
Why choose us? Are you ready to take the next step in your career? Join us for an exciting opportunity at Albertsons Companies, where innovation and customer service go hand-in-hand! At Albertsons Companies, we are…
Turn raw construction-site video into actionable productivity metrics and dashboards for large contractors, bridging field data and executive decisions.
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
AI Scientist leading the design and deployment of advanced optimization and machine learning systems for transportation and logistics networks, working on routing, scheduling, demand forecasting, and fleet optimization using Python, PyTorch/TensorFlow, and optimization tools like Gurobi/CPLEX, while collaborating with engineering teams to productionize AI solutions.
Design and maintain scalable data pipelines and infrastructure to process complex chemical data (chromatograms) for ML model training and deployment in a healthcare/climatetech context.
Designs and builds scalable data pipelines on AWS to extract insights for a government client, using Python, PySpark, and cloud-native tools while maintaining strict security compliance.
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