51 to 75 of 2,042 Algorithms Jobs

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

Experience with search and analytics engines/big data tools (OpenSearch, Kafka, Kibana, Telegraf, InfluxDB, Prometheus). Our Preferred Qualifications for this role: Basic understanding of AI and ML algorithms, including model training, testing, and deployment. Hands-on project experience in network automation; experience with AWX is a plus. Understanding of Git version control and Agile development methodologies. Strong familiarity More ❯

optimize, and predict trends from both structured and unstructured data. Validate and improve machine learning models with rigorous statistical techniques to ensure high accuracy and precision. Design and implement algorithms such as neural networks, decision trees, and surrogate models to drive AI initiatives. Utilize modern tools and methodologies such as Data Lakes, serverless computing (Athena/Lambda), and ETL processes More ❯

Five Forces, BCG Matrix, etc.) Create relationship taxonomies that capture complex strategic dependencies into formal knowledge structures Implement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data Build data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources More ❯

experience, including production systems written in Python Proficiency in a systems language - Rust preferred (C Go also acceptable) - and the desire to deepen that expertise Strong computer-science fundamentals: algorithms, data structures, concurrency, networking, and performance profiling Experience working with real-time and historical market data or other high-volume time-series data Proficiency with Linux development, Git, containers, and More ❯

for the platform. Our teams are currently hiring for a broad range of experience levels including; Experienced and Senior Software Engineers. Position Responsibilities: Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for software systems Develops and maintains code and integrates software components into a fully functional software system Develops and maintains software development plans, verification plans, test procedures More ❯

business acumen to deliver insights that shape strategic decisions and operational excellence. Key Responsibilities Advanced Data Analytics and Predictive Modeling Develop and implement sophisticated statistical models and machine learning algorithms to forecast trends, predict outcomes, and identify opportunities for performance enhancement. Utilize advanced analytics techniques such as regression analysis, time series forecasting, and clustering to extract deeper insights from multifaceted 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. Senior More ❯

to both technical and non-technical stakeholders. Knowledge, Skills and Experience Required Minimum of 3 years of hands-on experience in data product development. Strong understanding of data structures, algorithms, and statistical concepts. Proficiency in Python and ETL frameworks Deep knowledge of data pipeline architectures and products such as Snowflake or similar Experience with delivering data products to clients via More ❯

This range is provided by Neurolabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Neurolabs is looking for a talented Senior Machine Learning Engineer to join our More ❯

This range is provided by Neurolabs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Neurolabs is looking for a talented Senior Machine Learning Engineer to join our More ❯

Join Our Mission to Read the Web and Research Companies With AI Are you a curious and ambitious Computer Science graduate or a person with 1-2 years of work experience looking to launch your career in AI and data More ❯

Neurolabs is looking for a talented Senior Machine Learning Engineer to join our team. As an ML Engineer at Neurolabs, you will be responsible for developing, implementing, and optimizing Computer Vision models that empower our retail automation solutions. Your expertise More ❯

Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As More ❯

Software Development Engineer (Full Stack), Ring We are part of RBKS, building solutions for Ring, Blink, Key and Sidewalk platforms. We enhance customer experience through next-generation technologies, and are seeking an exceptional, entrepreneurial full-stack Software Development Engineer(SDE More ❯

Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As More ❯

Algorithms and Analytics Quantitative Analyst Location: United Kingdom, London Division: Investment Bank, Quantitative Analysis Job Reference #: 318539BR Job Type: Full Time Your role Are you interested in algorithmic trading? Are you an innovative thinker and enjoy building a leading trading platform? We're looking for someone who can: Help design and enhance trading algorithms and analytics for the equities … and produce analysis for clients. Collaborate closely with Electronic Trading, Equity front office, and IT to deliver regional and global projects. Your team You will be part of the Algorithms and Analytics team in London, responsible for providing trading algorithms and execution consultancy for electronic trading across all equities and other products. The team builds high-performance quant trading models More ❯

Quantitative Developer - Trading Algorithms Job Function Summary The Central Liquidity Strategies (CLS) business manages a number of portfolios and products designed to optimize the firm’s trading and execution approach by providing internal liquidity solutions for portfolio managers on both a risk and agency basis. We are seeking a highly driven, results-oriented Senior Quantitative Developer with a strong background … in building trading algorithms and a deep understanding of market microstructure and execution strategies to build a greenfield internal algorithmic trading platform. This role requires a combination of technical expertise, industry knowledge, and leadership skills to develop and optimize trading algorithms tailored to the business’s trading objectives. Principal Responsibilities Algorithm Development: Developing custom trading algorithms with tailored execution outcomes More ❯

C C in a Unix/Windows environment ; familiarity with Fortran is advantageous Deep understanding of numerical methods and sparse matrix techniques Proficiency in high-performance data structures and algorithms, memory optimization, and multithreading programming techniques Hands-on working experience with a SPICE-simulator is helpful (e.g., LTspice, SIMetrix, Cadence Spectre, Synopsys HSPICE, etc.) In the best case: Already previous More ❯

complex data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science … Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau More ❯

empower our clients to achieve their AI goals and make a significant impact in their industry. The data scientist 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. Responsibilities: Produce data visualizations that provide insight into dataset structure and meaning Collaborate with subject matters experts (SMEs) to identify important information … make data-driven recommendations and decisions Develop experiments to collect data or models to simulate data when required data are unavailable Develop feature vectors for input into machine learning algorithms Identify the most appropriate algorithm for a given dataset and tune input and model parameters Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

data science . You’ll join a cross-functional squad (engineering, ops, analytics, and DS) working on complex challenges in first, middle, and last-mile delivery. From designing smarter algorithms to unlocking efficiency across the network, your work will directly impact cost, sustainability, and speed at scale. 🔍 What You’ll Be Doing Designing, testing, and deploying optimisation algorithms to improve … Physics, Engineering) Strong communication skills – able to present complex ideas simply and clearly 🚀 Nice-to-Haves Experience working with geospatial data, routing, scheduling , or network optimisation Comfort developing custom algorithms or heuristics Exposure to machine learning techniques Experience in logistics, marketplaces, mobility, or similarly complex environments 🎁 What’s on Offer Generous equity stake 25 days holiday + bank holidays Excellent More ❯

VHF, UHF, SATCOM) experience are nice to haves. You will need demonstrated experience with data processing, normalization, and exploratory analysis. Jupyter Notebooks & Python experience, data modeling experience leveraging various algorithms, and data visualization skills are required. You will need to have the capability to deliver presentations or briefings to a non-technical/technical audience as needed. The Level … of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count. Broader range of degrees will be … considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning More ❯