151 to 175 of 2,034 Algorithms Jobs

We are seeking a highly experienced and motivated Senior Systems Engineer to take on a key leadership role as Systems Design Authority for a major defence project. This is a rare opportunity to lead the delivery of a complex, multidisciplinary More ❯

Senior Data Scientist, Creative Optimization Who we are: Choreograph is WPP's global data products and technology company. We're on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled More ❯

OPS Consulting LLC is seeking a Data Scientist based out of Annapolis Junction, MD. At OPS Consulting, you will seek to find principled conclusions from large data sets through the elements of mathematics, statistics, computer science, and programming. Required Skills More ❯

Are you passionate about solving complex logistics challenges? Our Analytics team is at the forefront of enhancing delivery experiences through data-driven solutions and innovative technology. As a Data Scientist, you will join a team dedicated to optimizing our delivery More ❯

Position: Senior Software Engineer (ML, Part-Time/Remote) A team developing an AI-driven trading system for automated crypto-trading is looking for a skilled Senior Software engineer with DevOps/MLOps experience to build the backend infrastructure. Must More ❯

Machine Learning Engineer – Wearable Health Algorithms Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health Machine Learning Engineer – Wearable Health Algorithms 1 week ago Be among the first 25 applicants Join to apply for the Machine Learning Engineer – Wearable Health Algorithms role at all.health all.health is at the forefront of revolutionizing healthcare for millions of … 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 … conditions. These ranges may be modified in the future. 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 More ❯

novel machine learning solutions for complex financial problems Work with large-scale distributed systems and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience … s degree and 5+ years of CS, CE, ML or related field experience - 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 PREFERRED QUALIFICATIONS - Experience developing and implementing deep learning algorithms, particularly with respect to computer vision … algorithms - Experience in professional software development Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you're applying More ❯

We are a cutting-edge technology firm specializing in AI-driven solutions and media architecture, dedicated to transforming digital experiences across various platforms. Our innovative approach combines advanced AI algorithms with robust media architecture to deliver unparalleled solutions in the digital landscape. Position Overview: As a Software Development Manager specializing in AI and Media Architecture, you will play a pivotal … and Architecture: Drive the technical vision and strategy for AI and media architecture projects, aligning them with business objectives and industry trends. Architect scalable and efficient solutions using AI algorithms and media technologies, optimizing for performance and usability. Quality Assurance and Deployment: Implement best practices for software development, quality assurance, and deployment processes. Conduct code reviews, performance tuning, and troubleshooting … software development with a focus on AI technologies and media architecture. Previous experience (X years) in a leadership or managerial role, overseeing teams and projects. Deep understanding of AI algorithms, machine learning frameworks, and media processing technologies. Strong knowledge of software development methodologies, agile practices, and DevOps principles. Excellent communication skills, with the ability to articulate complex technical concepts to 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 ❯

its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated experience researching and implementing machine learning algorithms for use in production systems Demonstrated experience developing proof of concepts of new technologies and evaluating the state of the art in machine learning algorithms for text analytics Demonstrated experience More ❯

Key Responsibilities - Design, build and deploy AI/ML models, including LLMs and generative AI - Perform data exploration, feature engineering, and model optimisation - Apply supervised, unsupervised, and reinforcement learning algorithms - Conduct large-scale data analysis across structured and unstructured sources - Develop statistical and predictive models to drive business insights - Productionise models and monitor performance, identifying drift and retraining needs - Integrate … Collaborate with cross-functional teams and support junior staff Your Profile Essential: - 5+ years' experience in AI/ML development and data science - Strong grasp of ML/AI algorithms, including LLMs and automated AI systems - Proficient in Python or R and key frameworks (TensorFlow, PyTorch, scikit-learn) - Skilled in handling large datasets, data wrangling, and statistical modelling - Comfortable working More ❯

responsibilities Conduct in-depth analysis of payroll data and processes to identify opportunities for ML/AI-driven automation and optimization Design, develop, and deploy scalable ML models and algorithms to automate payroll compliance checks, anomaly detection, and reporting Collaborate cross-functionally with payroll, finance, and technology teams to understand business requirements and translate them into effective AI/ML … tasks in the future. BASIC QUALIFICATIONS - Master's degree or above in computer science, mathematics, statistics, machine learning or equivalent quantitative field - Experience building machine learning models or developing algorithms for business application - Experience programming in Java, C++, Python or related language PREFERRED QUALIFICATIONS - Experience implementing algorithms using both toolkits and self-developed code - Have publications at top-tier peer More ❯

analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical … Experience with data visualization tools, computing platforms, and applications such as: Juptyer, Elasticsearch, DataBricks, Apache Zeppelin, Kibana, and/or Tableau • Experience supporting the development of AI/ML algorithms, such as natural language processing in a production environment • Experience configuring and utilizing data management tools, such as Hadoop, MapReduce, or similar. • Ability to translate complex, technical findings into an More ❯

decision-making across the organisation. Key responsibilities for the Data Scientist – Analyse large volumes of structured and unstructured data to extract meaningful insights. Develop predictive models and machine learning algorithms to support business goals. Build and deploy data science solutions into production environments. Work closely with software engineers and data engineers to ensure end-to-end data flow and model … looking for – Proven experience in a commercial Data Science role. Strong proficiency in Python (including libraries like pandas, scikit-learn, TensorFlow or PyTorch). Solid understanding of machine learning algorithms, data modelling, and statistical analysis. Hands-on experience working with large datasets and data wrangling techniques. Familiarity with cloud-based environments, particularly AWS. Comfortable with SQL and working with relational More ❯

Development (R&D) program at the National Air and Space Intelligence Center (NASIC). You'll play a pivotal role in developing, integrating, and testing advanced ISR applications and algorithms to enhance U.S. Air Force and Intelligence Community capabilities. This position supports the Non-Traditional Collection Technology Initiative (NCTI) under the NOVASTAR contract, focused on enabling next-generation long-range … and passive RF intelligence collection. Key Responsibilities: • Research, design, and develop algorithms for signal processing and data extraction from novel collection systems • Develop and deliver cloud-ready software applications supporting ISR missions • Conduct systems integration, testing, and validation in secure environments • Document and deliver Interface Control Documents (ICD), Software Design Descriptions (SDD), and Software Test Plans (STP) • Collaborate with NASIC … Science, Physics, or related technical field • 7+ years' experience in software development and/or signal processing • Strong background in R&D for defense or intelligence applications • Experience developing algorithms for RF, ELINT, SIGINT, or related data • Proficiency in at least one major programming language (e.g., Python, C++, Java) • Familiarity with cloud environments (AWS, Azure) and containerized development (Docker, Kubernetes More ❯

clear: to lead through innovation. Join the transformation and innovate with us. OVERVIEW: BlueHalo is seeking Data Scientists who will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data … generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. You'd like to do this: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject matters experts 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 ❯

selection and tuning, offline and online evaluation, deployments and maintenance Partner with stakeholders to propose innovative data products that leverage Trainline's extensive datasets and state of the art algorithms Create the tools, frameworks and libraries that enable the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … rigorous learning and experimentation We'd love to hear from you if you Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have … to have Experience with LangGraph or LangChain Experience with transport industry and/or geographical information systems (GIS) Experience with cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform More ❯

systems to support RLDatix's mission of enabling safer, more efficient healthcare worldwide. How You'll Spend Your Time Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets. Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform. Optimizing machine learning … as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

will be the technical lead in a research team focused on advancing our anomaly detection technology, driving technical excellence and innovation. The team will design, implement, and optimize advanced algorithms and machine learning models to detect anomalies in game streams. Your expertise will help shape the future of gaming by ensuring high-quality player experiences. What you'll be doing … Anomaly Detection Development: Design, develop, and implement novel anomaly detection algorithms to automatically identify bugs and glitches in game streams. Research and Innovation: Lead research initiatives in anomaly detection, contributing to the authorship of research papers and presenting at relevant conferences. Data Analysis: Perform extensive data analysis and preprocessing to uncover patterns and improve detection accuracy. Collaboration: Work with cross More ❯

data science, and software engineering, with the ability to design, develop, and implement robust machine learning models and systems in production. Key Responsibilities Lead the development of machine learning algorithms and models for behavioural modeling and cybersecurity attack detection. Collaborate with cross-functional teams to understand requirements and translate them into effective machine learning solutions. Conduct exploratory data analysis, feature … practices within the organization. Provide mentorship and guidance to junior team members. Required Skills: Proven experience as a Machine Learning Engineer or similar role. Strong knowledge of machine learning algorithms, statistics, and predictive modeling Proficiency with Python and machine learning toolkits like pandas, scikit-learn, and optionally pytorch/tensorflow. Experience with machine learning operations (MLOps) and productionization of ML More ❯

Grey Matters Defense Solutions specializes in software development and solutions, data analytics algorithms, and innovative remote sensing technologies and operations, with senior-level personnel formerly from DIA, NRO, DARPA, and the US Armed Forces. Grey Matters Defense Solutions differentiates itself by combining its subject matter experts, analysts, software engineers, and its data scientists to create unique artificial intelligence algorithms and More ❯