126 to 150 of 1,694 Permanent Algorithms Jobs

graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. • Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. • Design GraphRAG and knowledge-grounded security ...

graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security ...

think beyond routine or conventional approaches to build solutions or break down technical problems. Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems. Produces architecture and design artifacts for complex applications while ensuring design constraints are met by software code development. Lead ...

think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code ...

track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large-scale enterprise environment. Experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines. Experience with A/B experimentation and the ability to develop and debug production-quality code. Strong written ...

cloud‐based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision‐support products Engage with business stakeholders to gather requirements and feedback Contribute ...

making Collaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutions Develop robust data pipelines, algorithms and tools to support production-grade modelling and decision-making Stay informed about the latest advancements in data science, machine learning, and payment fraud prevention ...

turns dunnhumby’s analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail — from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

Experience with agentic workflows beyond chat, for example MCP servers or custom tooling around Claude Code or Cursor. A good grasp of data structures, algorithms and databases. Why us? Why us We’re backed by more than 20 years of Atlassian expertise from our parent company, Automation Consultants, which ...

making Collaborate with analysts, product managers, engineers, operations and risk teams to translate business requirements into actionable data science solutions Develop robust data pipelines, algorithms and tools to support production-grade modelling and decision-making Stay informed about the latest advancements in data science, machine learning, and payment fraud prevention ...

willing and eligible to obtain SC clearance. Key Responsibilities Design, develop, and maintain real-time embedded software using modern C++. Integrate software components, algorithms, and third-party solutions into embedded products. Support software integration onto target hardware, including board bring-up and hardware-software debugging activities. Collaborate with systems, hardware ...

with and influence stakeholders across the business to propose innovative data products that make the most of Trainline's extensive datasets and the latest algorithms Build tools, frameworks and libraries that accelerate the delivery of ML products and improve team workflows Provide technical mentorship and support the development of less ...

from experimentation through to production deployment. Strong understanding of traditional machine learning alongside generative AI, with practical experience in supervised and unsupervised learning and algorithms/frameworks such as XGBoost, scikit-learn or equivalent. Experience implementing RAG architectures using embeddings, vector databases/search technologies and enterprise data sources, with ...

from experimentation through to production deployment. Strong understanding of traditional machine learning alongside generative AI, with practical experience in supervised and unsupervised learning and algorithms/frameworks such as XGBoost, scikit-learn or equivalent. Experience implementing RAG architectures using embeddings, vector databases/search technologies and enterprise data sources, with ...

eager to build scalable infrastructure while creating seamless developer experiences? Here at Neo4j, we are building a high-performance cloud platform for graph algorithms and machine learning to help the world make sense of data—from detecting financial fraud and driving real-time recommendations to powering cutting-edge knowledge graphs. ...

deep understanding of (but not limited to): Reporting and Analytical Analysis, Predictive Modeling, and Solution Architect Excellent understanding of machine learning techniques and algorithms, such as Tree Based Models, Neural Networks, etc. Experience with common data science toolkits, such as R, MatLab, Python etc. Excellence in at least ...

pipelines, planning your own work and contributing code to a shared codebase alongside Research Engineering team members, Software Engineers and Data Scientists. Implement algorithms developed within our Life Sciences teams to a high standard of robustness, testing and performance. Run high-quality analyses of large-scale biological datasets using existing ...

capabilities and scientific output: Contribute to scientific research through experimentation, analysis, and implementation of modelling or analytical approaches. Develop and test innovative AI models, algorithms, and tools to address complex data-driven problems across domains such as nuclear fusion, environmental sustainability and healthcare. Engage with real-world problems as contexts ...

production monitoring and observability. Extensive experience developing and integrating Gen AI and ML solutions into existing products and systems. Strong knowledge of ML algorithms, from classical techniques to deep learning methods. Experience designing, deploying, and operating scalable AI/ML systems in cloud environments, with expertise in containerization and orchestration ...

agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites. Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions. Good command of coding standards and Strong understanding of both high ...

issues, and driving resolution. Preferred Qualifications Experience with automated testing, software development lifecycle concepts, and developing applications in a Linux environment. Strong understanding of algorithms, data structures, software design, and distributed systems fundamentals. Experience with observability platforms, including distributed tracing, logging, metrics, and tools such as Prometheus, Grafana ...

rather than proofs of concept that stall. Work closely with AI Research Engineers, Data Engineers and Software Engineers to design and deliver AI models, algorithms and solutions that meet client needs. Translate use cases into clear product requirements, user stories and acceptance criteria, including model performance, quality and data requirements. ...

software compliance documentation submitted to certification authorities; respond to technical inquiries and auditor requests. Perform activities to develop, document and maintain architectures, requirements, algorithms, interfaces and designs for software systems Perform activities to automate the certification process. Provide subject-matter expertise during certification reviews, design reviews, and regulator meetings; travel ...

learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms that forecast workload demands and proactively scale infrastructure to prevent over-provisioning while maintaining strict SLAs. Complementary Behaviours Toil-Reduction Mindset: A relentless focus ...

satellite subsystems. This includes deriving requirements and defining architecture to implementation and testing. You will collaborate closely with stakeholders who provide the core algorithms to execute and the operational constraints to meet. Hardware Interfacing: You will act as the primary interface between the Software and Hardware teams, ensuring that ...