76 to 100 of 600 Remote Algorithms Jobs

About the Role: We are seeking a Senior Java Developer/Lead who could drive technology transformation in the team. This role involves taking ownership of key projects and components throughout the entire Software Development Life Cycle (SDLC). A More ❯

looking for a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. You'll play a key role in building real-time, FDA-compliant algorithms that analyze continuous physiological signals from wearables. This is a high-impact role with the opportunity to shape the future of digital health and help bring clinically validated, regulatory-ready … USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Design and implement machine learning models for real-time analysis of wearable biosignal data (e.g., ECG, PPG, accelerometer). Develop algorithms that meet clinical-grade performance standards for use in regulated environments. Preprocess and manage large-scale, continuous time-series datasets from wearable sensors. Collaborate with clinical, product, and regulatory teams … to ensure solutions align with FDA, SaMD, and GMLP requirements. Optimize algorithms for deployment on resource-constrained devices (e.g., edge, mobile, embedded systems). Run thorough validation experiments including performance metrics like sensitivity, specificity, ROC-AUC, and precision-recall. Contribute to technical documentation and regulatory submissions for medical-grade software. Requirements/Qualifications: MS or PhD in Machine Learning, Biomedical More ❯

skilled Data Science professional to manage a variety of data science tasks. This role will involve utilising expertise in data science to derive MI and insights from data, develop algorithms, and build robust data-driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply … machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and data models into production environments, ensuring their reliability and scalability. Communicate findings and insights to both technical and non-technical stakeholders through reports, visualisations, and presentations. The … T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯

our data science team and contribute to our client-focused projects on Yanomaly and custom AI. You will learn about and use our software Yanomaly, its in-house developed algorithms and scalable software architecture for processing huge amounts of data in real-time. You will use various ML/AI/data science libraries and work on a variety of … the balance on the electric grid Detecting anomalies in a variety of industrial processes: chemical processes, assembly lines, combined heat and power (CHP) plants, paper machines, using unsupervised AI algorithms Your responsibilities As part of the team, you'll sharpen and expand your skills in data science and software engineering. Your day-to-day tasks will include: Applying your data … science expertise and the Orise Digital AI algorithms to real-world industrial or IoT data: pre-processing, cleaning, training, and evaluating anomaly detection and predictive models in Jupyter notebooks or in the UI of Orise Digital AI. Communicating results to clients, gathering their feedback, and refining your work accordingly. Enhancing algorithms in our scalable big-data platform for AI-based More ❯

you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice or building prototypes. You're a collaborator and enjoy stepping out of your role … data science libraries, implement existing data science techniques, or implement novel techniques. Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations). Developing scalable models and algorithms that can be deployed into production More ❯

you. Apply now and help shape the future of claims automation. Responsibilities Develop features for our state-of-the-art claims automation platform Research, build and deploy machine learning algorithms and models to production within product teams Provide technical guidance and input on the design and implementation of machine learning algorithms Support with customer PoVs and onboarding Understand business problems More ❯

detection algorithms. The successful candidate will combine excellent mathematical skills with the proven ability to engineer high-quality software in a practical setting. Responsibilities: Development of sophisticated pattern-detection algorithms to be utilised across all of TradingHub's product offerings Research and development of broad models of market dynamics across multiple asset classes Prototyping, testing, and validation of TradingHub's … mathematical/statistical models Use of in-house big data language for the large-scale pricing and analysis of security and risk data Implementation and optimisation of the core algorithms used by TradingHub to perform deep analysis of financial data Requirements Main Skills/Competencies: Proficiency with C#, C++ or Python Evidence of exceptional mathematical and analytical skills Initial industry More ❯

the Chief Information Security Officer (CISO). The Principal, Artificial Intelligence (AI) Security Engineer will play a critical leadership role in developing and implementing security frameworks for AI models, algorithms, and datasets. Key Responsibilities Establish an AI Security community across all applicable Siemens business segments including the designation of AI Security Officers. Partner with Legal, Data Privacy and Compliance to … stay up to date on global regulations. Develop and implement security frameworks for AI models, algorithms, and datasets. Conduct risk assessments and threat modeling for AI systems to mitigate potential vulnerabilities. Design and enforce policies for secure AI development, deployment, and maintenance. Lead research and innovation in adversarial attack detection and AI security defenses. Collaborate with cross-functional teams to More ❯

related field). 5+ years of professional software development experience. Proficient in C++ (Concurrent programming techniques: Shared memory, Atomics and lock-free data structures) Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving and analytical skills. Working knowledge of Linux C++ development environment: vim, gdb, make, valgrind etc. Experience working in Linux Environments with good command More ❯

degree in Computer Science, Data Science, AI, or a related discipline. Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions). Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models). Experience with multiple programming languages — with Python and SQL preferred. Interest or familiarity with large language models More ❯

and a proactive attitude towards adopting new technologies. Ability to thrive in a fast-paced, adaptable, and high-pressure environment, delivering results efficiently. Responsibilities: Design, implement, and optimize trading algorithms, order execution systems, and real-time data processing tools using Python to support front office trading strategies. Work closely with traders and quant teams to understand requirements, translate them into More ❯

Generative AI. Design, train, and fine-tune LLMs and other AI models to extract insights and generate predictive signals. Apply AI techniques to develop and enhance alphas and other algorithms on the AI platform. Analyze large-scale financial datasets using statistical, mathematical, and machine learning methods. Collaborate with platform development teams to implement and test new features and datasets. Stay More ❯

scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date with the latest advancements in AI and related More ❯

scientific community Work Arrangement: Benefit from a hybrid work model, combining remote and on-site collaboration Responsibilities Conduct innovative research in machine learning and artificial intelligence Develop and implement algorithms Collaborate with cross-functional teams to integrate AI solutions Publish research findings in top-tier conferences and journals Stay up to date with the latest advancements in AI and related More ❯

Publications in top ML conferences (e.g. ICML, ICCV, SysML or similar) Contribution to open source ML frameworks such as –TensorFlow, TensorFlow Lite, etc. Experience with knowledge distillation, computer vision algorithms, federated learning Knowledge of one or more interpreted languages, such as Python and/or JavaScript Experience of real-time and/or embedded software development in C++ (on embedded More ❯

You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

conversations with the customer to correctly identify the data needs; Developing data pipelines (ELT and ETL); Combining data from multiple sources in an efficient and performant manner; Developing smart algorithms and statistical models to extract insights from data; Support data scientists with data preparation and deployment; Advising the customers (business analysts, data scientists) on the correct usage of their data. 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 ❯

emerging trends in generative modeling, causality, uncertainty quantification, and responsible AI. Requirements/Qualifications: Strong experience in Bayesian inference and probabilistic modeling : PGMs, HMMs, GPs, MCMC, variational methods, EM algorithms, etc. Proficiency in Python (must) and familiarity with PyMC, NumPyro, TensorFlow Probability , or similar probabilistic programming tools. Hands-on experience with classical ML and modern techniques, including deep learning , transformers More ❯