26 to 50 of 530 Remote Algorithms Jobs

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

of: Windows, macOS, Linux, iOS, or Android. Commitment to code correctness and quality assurance through static analysis, code review, automated testing, and continuous integration. Desirable Cryptography: Understanding of encryption algorithms and protocols for securing audio streams. USB Communication: Proficient in interfacing with a computer via USB. Knowledge of USB protocols and device drivers. Wireless Protocols: Understanding of Ultra-Wideband and More ❯

QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and More ❯

in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

when it's delivered at the doorstep. We're hiring an Operational Research Data Scientist to join our Routing squad, helping to design, test, and improve the models and algorithms that power routing across Relay's first, middle, and last mile. This role sits at the intersection of operations research and applied data science; it's well-suited to someone … on, high-impact role in a high-performing team with strong exposure to both technical architecture and network operations. What you'll do Design, prototype, and iterate on routing algorithms and models across first, middle, and last mile Work directly with data analysts to benchmark routing performance and quantify gains from proposed improvements Analyse our routes to identify inefficiencies in … routing models and algorithms, helping our team to operate with precision and maximise impact. Build models and produce analysis to optimise the daily operation Collaborate with engineers and scientists to deploy your algorithms and models into production Translate operational and commercial constraints into model or algorithm improvements Bring a scientific lens to operational design; measure rigorously, test thoughtfully What we More ❯

in programming languages such as Python, Java, or C++ Experience with automation frameworks and tools Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) Ability to analyze and optimize algorithms for efficiency Knowledge of data structures and algorithms Experience with version control systems (e.g., Git) Strong problem-solving skills and analytical thinking Experience in integrating AI solutions into existing systems More ❯

as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. * Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. * Stay abreast of … security considerations are properly addressed. Key Skills & Experience: * Solid experience as a Security Architect, with a focus on AI/ML security, demonstrating a deep understanding of AI technologies, algorithms, models, and frameworks. * Extensive knowledge of security principles, best practices, and standards within the context of AI/ML systems. * Previous hands-on experience as developer, programmer or data scientist More ❯

to extract valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient … data science workflows within the organisation Qualifications Minimum of 5 years of experience in data science or a related field Extensive knowledge of advanced statistical analysis and machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

For Strong Python skills (or equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred) Agile development experience (SCRUM, XP More ❯

the Role: We are looking for an engineer to work on building and maintaining scalable data infrastructure/platforms and tools for our team. Someone with foundational knowledge in algorithms, software engineering/development and operational research is highly preferred. In short, someone who has the technical groundwork, ready to gain experience and communicates well with others. What You'll … community (GitHub, Stack Overflow, blogging). Existing exposure to Go, AWS, Cassandra, Kafka, Elasticsearch Prior experience in the cybersecurity or intelligence fields. Bring your experience in distributed technologies and algorithms, your great API and systems design sensibilities, and your passion for writing code that performs at extreme scale. You will help build a platform that scales to millions of events More ❯

Complexio is Foundational AI workstoautomate business activities by ingesting whole company data- both structured andunstructured - and making sense of it. Usingproprietarymodels and algorithms Complexio forms adeepunderstanding ofhow humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia and Símbolo , in partnership with Marfin Management , C Transport Maritime , Trans More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

Intelligence (AI) projects utilizing agile development methodology. The candidate will collaborate with technical staff to implement software architecture, perform coding, integration, and testing. Responsibilities include: - Supporting the development of algorithms for threat detection and decision support - Implementing and supporting software for real-time control of hardware, including cameras and radar systems - Assisting third parties in enhancing and extending system functionality More ❯

Git and bug tracking. Java application debugging and DB performance issues; IBM WebSphere or other J2EE application servers. Must have an excellent understanding of computer science fundamentals, data structures, algorithms, and software design. Possess expertise in object-oriented design methodology and large-scale application development in Java. Working knowledge of all aspects of SDLC including requirement/design reviews as More ❯

Data Science project and initiatives. Engage with Stakeholders and Subject Matter Experts to identify new opportunities to apply these techniques. Design and develop Machine Learning and Artificial Intelligence applications, algorithms, models, and other analytics solutions. Lead and support Data Scientists, Engineers and Analysts in delivery of these initiatives. Prototype solutions to explore business hypothesis in an agile and iterative way More ❯

contribute their best work. About You About Us We're a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly. W e combine leading-edge technology with cutting-edge thinking, to help you tackle today's mission-critical operational challenges More ❯

the use of advanced analytics, and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling More ❯

initiatives. Collect, clean, and analyze large datasets of scientific content and related information from various sources, ensuring data quality and integrity. Build and test predictive models and machine learning algorithms for tasks such as entity extraction, workflow automation, and enhancing the understanding of scientific content. Visualize and present findings in a clear, concise, and compelling manner to both technical and More ❯

teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions in real-world HR More ❯

teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions in real-world HR More ❯