1 to 25 of 367 Algorithms Jobs with Hybrid or WFH Options

issues and propose effective solutions. Ability and collaborate effectively with cross-functional teams. Understanding of microservices architectures and distributed systems Understanding of data structures, algorithms, and software design principles Experience building and maintaining large-scale software systems Knowledge of modern software engineering practices (CI/CD, containerization) Comfortable working independently more »

and APIs ideally with REST, Kafka or gRPC Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms or related quantitative processes. Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with cloud deployment technology (Docker, Ansible, Terraform, etc.) is also more »

the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL more »

databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll be supported by a highly talented more »

novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges more »

analysts dedicated to leveraging machine learning (ML) to drive business growth and enhance customer experiences. We work collaboratively to develop advanced ML models and algorithms that power our data-driven solutions. To further strengthen our ML capabilities and streamline our ML operations (MLOps), we are seeking a skilled and motivated more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

languages and using type systems to catch bugs early, rather than at runtime. Solid knowledge of basic data structures (list, vector, stack, heap), fundamental algorithms (sort, search, etc.) and associated time/memory asymptotic complexity. Solid knowledge of distributed systems, multi-threading and synchronization. Bachelor's degree in Computer Science more »

building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions more »

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms, Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a more »

that will advance global infrastructure. In our collaborative environment, you'll have the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machine learning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

role, you will be involved in innovative projects of building an automated test/analytics module and a monitoring tool for performance of trading algorithms and AI/ML models using open source tools (Jupyter notebook, Plotly/Dash). What we ll offer you A healthy, engaged and well more »

and a portal interface to explore, combine, visualise and access a wealth of perturbation data. This will enable the extension and application of existing algorithms and the design of new computational methods for functional genetics and target identification and prioritisation, offering enhanced statistical power and the capability to work with more »

scalability. What will you do? Build a cutting-edge Cloud Native platform on top of the public cloud. Improve the metrics pipeline and build algorithms to generate better autoscaling statistics and recommendations. Work on the autoscale and Kubernetes operator to support seamless Vertical and Horizontal Auto-scaling. Work closely with more »

integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »

capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any experience leading or mentoring more »

Probability, et al., and Software Development/Computer Science. Expert Python (inc. Pandas, NumPy, SciPy, et al) Excellent understanding of Advanced Data Structures and Algorithms Experience of AWS, GCP or Azure Experience of high performance languages such as C++, C#, (JVM based) is beneficial more »

Probability, et al., and Software Development/Computer Science. Expert Python (inc. Pandas, NumPy, SciPy, et al) Excellent understanding of Advanced Data Structures and Algorithms Experience of AWS, GCP or Azure Experience of high performance languages such as C++, C#, (JVM based) is beneficial more »

and the Enterprise Architect tool. Execute software implementation and testing in C++, incorporating unit and continuous integration testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs more »

cloud-native solutions. Advanced knowledge of Docker, Kubernetes; Experience with GCP, Azure, or AWS. Strong experience with Kafka technologies. Clear understanding of data structures, algorithms, software design, design patterns, and core programming concepts. Understanding of cloud storage, networking, and resource provisioning. Experience in hiring and developing talent. Strong experience in more »