851 to 875 of 1,875 Permanent Algorithms Jobs

JVM tuning, Docker, and Kubernetesfor containerized SAP workloads. Exposure to mobile application performance testing. Programming experience in Python, ABAP, Java, or C++for automation or scripting performance tests. Understanding of algorithms, complexity (Big O notation), and scalable design principles. Ability to create data visualizations and dashboards for performance reporting. Strong documentation and communication skills with the ability to convey technical findings More ❯

robust model deployment, monitoring, and retraining pipelines Experience supporting platform components such as distributed storage (e.g. Cloudera), documents indexing/search, and GPU workloads Experience in the development of algorithms leveraging R, Python, or SQL/NoSQL Experience with Distributed data/computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn More ❯

software developers to join their multi-disciplinary team developing integrated solutions to tough problems in the security and defence sectors. You will help develop innovative image and signal processing algorithms sitting on top of specialist hardware. This might require optimisation for low power environments or novel adaptations of existing technologies to new sensor data. Your work will expand to more More ❯

and technical troubleshooting with ability to 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 development Gathers, analyzes, synthesizes More ❯

AI on edge devices. Collaborating closely with cross-functional teams across research and product engineering to transition ML innovations from prototypes into production. Designing and developing novel machine learning algorithms and system-level optimizations that enable scalable, high-performance AI experiences on-device. Translating theoretical work into applied solutions and supporting the commercialization of AI technologies for deployment at scale. More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

flat-file, relational, object-oriented). Background in communications systems development and testing. Understanding of communications systems theory, including analog and digital modulation/demodulation. Familiarity with signal processing algorithms and techniques. Experience with safety-critical software development standards such as DO-278A. Experience using commercial tools such as Eclipse Desktop C++ IDE, Intel C++ Compiler, Vectorcast Unit Test and More ❯

the healthcare domain. Responsibilities Research, design, and implement new machine learning models to enhance clinical data quality and support healthcare decision-making. Continuously analyze scientific literature to identify promising algorithms and evaluate their practical application. Produce robust, efficient Python code aligned with best software development practices. Leverage open-source libraries and frameworks to drive experimentation and model optimization. Apply best More ❯

and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives More ❯

and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement: Proven experience engaging with senior executives More ❯

Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application Experience with natural language processing and More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Backend Software Engineer/Developer More ❯

C# (with ASP.Net Core) to create a robotics orchestrator Python to write async, web API based, microservices + image recognition React for frontend UIs C++ to implement low level algorithms and firmware MQTT for service-to-service communication Docker containerise and run services Azure for most cloud infrastructure Azure DevOps for project management, repos and CI/CD We are More ❯

Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application - Experience with natural language processing and More ❯

support decision making • Perform statistical analysis on our customer base and formulate either pricing strategies or commercial strategies to optimise revenue. • Deliver insights to drive business decisions and design algorithms that can be used to improve either our pricing or operational strategy. • Develop an excellent understanding of relevant internal and external data sources. • Work together with other departments and stakeholders More ❯

environment Skills Computing - Linux/Unix, Datastore Technology, Azure Languages - Required: Python, Ansible - Desirable: C++, Go Specific knowledge - Automation design & automation QA, Public Cloud, monitoring Other - Performance Optimization & Efficient Algorithms, Agile Education: A Computer Science degree, or equivalent, or other significant industry experience About Us A leading international provider of solutions and expertise, specialising in the fields of digital systems More ❯

Levels: Degree must be in Computer Science or related fields (Engineering, Mathematics) may be considered relevant if programs contain a concentration of courses in the following foundational CS areas: algorithms, computer architecture (not network architecture), programming methodologies and languages, data structures, logic and computation, and advanced mathematics (for example, calculus, discrete mathematics). Information Technology (IT) and Information Security (IS More ❯

circuits at transistor-level to implement architecture and requirement specifications • Contribute to system-level design • Optimize hardware designs for performance, power, and cost • Evaluate the hardware feasibility of complex algorithms and requirements • Independently contribute to complex chip architectures and designs • Independently drive solutions to complex problems - develop requirements, propose ways forward when customer requirements are unclear or incomplete, and adapt More ❯

compilers, which convert programs for execution on a computer. They also solve technical problems that arise. Software engineers must possess strong programming skills, but are more concerned with developing algorithms and analyzing and solving programming problems than with actually writing code. The programming languages most often used are C, C++, and Java, with Fortran and COBOL used less commonly. Security More ❯

compilers, which convert programs for execution on a computer. They also solve technical problems that arise. Software engineers must possess strong programming skills, but are more concerned with developing algorithms and analyzing and solving programming problems than with actually writing code. The programming languages most often used are C, C++, and Java, with Fortran and COBOL used less commonly. Security More ❯