26 to 50 of 502 Remote/Hybrid Algorithms Jobs

teams. This can be technical leadership and/or line management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience ...

integrating AI agents with engineering pipelines and enterprise data. Experience with microservice based architectures and containerisation. Experience building and working with mathematical algorithms, or with geospatial, catastrophe or financial‐modelling data. Experience understanding and translating complex business processes across multiple stakeholder groups. BSc degree qualified in a quantitative discipline (Mathematics ...

custom extensions. Proficiency in at least one programming language and ability to become productive in others quickly. Solid understanding of CS fundamentals: data structures, algorithms, concurrency, networking, APIs, testing, and basic security. Ability to reason about unfamiliar systems, read and model codebases, and understand change impacts. Strong communication and collaboration ...

them. A pragmatic understanding of computer science fundamentals. We care more about your ability to solve real‐world problems with data structures and algorithms than your ability to recite them from a textbook. An opinion on what makes good code and good architecture, and the ability to articulate it. ...

core Java, specializing in low-latency, high-throughput distributed applications. Profound understanding of software development fundamentals, data structures, design patterns, object-oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. ...

security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

analyse customer data and be able to report that analysis to co-workers, customers, and project leads. Identify opportunities to apply, design and build algorithms to transform and interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques ...

developing engineers across the team. Thorough knowledge of Java programming concepts (and Python a plus). Strong grounding in object‐oriented programming, data structures, algorithms, and design patterns. Experience building highly available, low‐latency systems with a small footprint – including JVM internals, performance optimization, concurrency, and tuning for GC‐free ...

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 ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

modern backend language (e.g., Java, C#, Go, Python) and familiarity with relational databases. Problem Solving: A strong grasp of computer science fundamentals (data structures, algorithms) and the ability to apply them to real-world distributed systems. Data-Driven: A habit of using operational data and experiment results to validate that ...

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 ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

rendering using OpenGL Working knowledge of standard software development frameworks and methodologies. Knowledge of Git and Git Branching. Experience with GIS data structures and algorithms a plus. Ability and desire to learn quickly and work in a fast-paced agile development environment. Strong troubleshooting skills Strong communication skills What Raymarine ...

science with focus on building Data and AI products Essential: Advanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualization Essential: Full‐stack development experience with cloud technologies (GCP preferred) Essential: Strong expertise in building Gen‐AI native products and services Essential ...

engineers where appropriate Essential criteria Professional software engineering experience Commercial experience developing backend applications or services using Golang Strong understanding of software engineering principles, algorithms and data structures Experience working across the full software development lifecycle Experience with Git and collaborative development practices Experience with Docker and containerised application delivery ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

graduate programme for exceptional aspiring Quantitative Traders/Researchers for those graduating in 2027. Responsibilities Designing, implementing, and deploying high or mid-frequency trading algorithms Working with a dedicated mentor to research and enhance existing trading strategies Exploring trading ideas by analyzing market data. Creating tools to analyze data ...

language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts into clear business insightsPreferred qualifications:Bachelor's degree in Computer ...

data science with focus on building Data and AI productsAdvanced proficiency in Python, R, and SQL with expertise in statistical analysis, machine learning algorithms, and data visualizationFull-stack development experience with cloud technologies (GCP preferred)Strong expertise in building Gen-AI native products and services. Strong analytical and problem-solving ...

core Java, specializing in low‐latency, high‐throughput distributed applications. Profound understanding of software development fundamentals, data structures, design patterns, object‐oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. ...

security best practices Experience with designing data architecture Experience with scaling infrastructure and code, (e.g. Kubernetes) Exposure to Ansible and Terraform Understanding of ML algorithms and deployment This is not an exhaustive list, and we are keen to hear from you even if you might not have experience ...

UDFs at scale. Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.).Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working ...

Linux Operating Systems Web Services: SOAP and Rest IT networking CI/CD The Atlassian Suite (JIRA, Confluence, Bitbucket, Bamboo) Azure Services Machine learning algorithms Big Data (Hadoop, Azure Data Lake, S3, Apache Spark) Additional programming languages – Python, Scala, Typescript, CSS 3/SASS (or other pre-processors) Other Information ...

appetite to ramp on Java Comfort designing and operating distributed systems at scale and low latency A solid grounding in maths, algorithms, probability and statistics as applied to real systems Demonstrated AI and agentic‐tooling fluency, as described above Ad tech, auctions or marketplace experience is preferred, and we move ...