201 to 225 of 4,640 Algorithms Jobs

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 ❯

Join to apply for the Research Scientist, Quantum Algorithms role at Quantinuum 1 day ago Be among the first 25 applicants Join to apply for the Research Scientist, Quantum Algorithms role at Quantinuum Get AI-powered advice on this job and more exclusive features. We are seeking a Research Scientist for our quantum algorithms team in London or Cambridge, UK. … Our team leads the development, implementation, simulation, and application of quantum algorithms for computational problems of both scientific and practical relevance. In this role, you will contribute to the design of novel quantum algorithms and to the development of techniques aimed at reducing algorithmic overheads for execution on Quantinuum’s hardware. You will also be responsible for estimating end-to … research includes the development of new techniques and quantum computational models aimed at reducing circuit depth and making quantum circuits shallower, as well as the scalable co-design of algorithms with our hardware, including early fault-tolerant protocols and error correction or detection primitives. Our team members regularly publish scientific papers and present their results at leading conferences. In this 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 businesses’ trading objectives. Principal Responsibilities Algorithm Development: Developing custom trading algorithms with tailored execution outcomes that 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 ❯

team. The role involves developing and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that drive trading decisions in cash … high-level architecture and optimisation of C++ and Python-based models used in various equity strategies. Work closely with research teams to continuously enhance trading models and translate complex algorithms into efficient, production-ready code. Skillset Requirements: Proven experience in a quantitative development or software engineering role within a cash equities trading environment. Expertise in applying advanced quantitative techniques to 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 ❯

will collaborate closely with quantitative researchers, portfolio manager, and supporting teams to build scalable, high-performance trading systems. Your primary responsibility will be to develop, optimize, and maintain complex algorithms, data pipelines, and software infrastructure that underpin our trading strategies while ensuring robust risk management and compliance standards. Location London Principal Responsibilities Lead the development and evolution of the quantitative … researchers to translate trading strategies into efficient, production-grade code Evaluate and integrate emerging technologies, libraries, and tools to drive continuous improvement Design, code, test, and deploy robust trading algorithms and data processing pipelines Develop real-time data ingestion systems and analytics frameworks for market data, risk metrics, and performance Optimize existing codebases for speed, reliability, and maintainability Ensure rigorous … market anomalies and designed with appropriate safeguards Preferred Technical Skills 1st class Bachelor's or Master's degree in a relevant discipline Strong Python programming skills Strong understanding of algorithms, data structures, and performance optimization Experience with scientific Python libraries (pandas, numpy, etc) Understanding of time series data Basic understanding of statistics and data analysis Modern version control Testing frameworks 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 ❯

to solve very hard real-world engineering problems. Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code … experience, Or M.Sc plus 2+ years of experience in implementing ML models and applications, Or PhD in a relevant area. Strong understanding of various Artificial Intelligence and Machine Learning algorithms and techniques. Extensive experience in building AI based applications Strong understanding of Software Development best practices and in OO Design principles and patterns. Very strong competency in mathematics, statistics, data More ❯

This is no start-up. We're already trusted by our clients to manage hundreds of millions of media spend. At the heart of the product is our proprietary algorithms,developed in-house and refined by the team over time.These algorithms enable the platform to makebudget and targeting adjustments thatimprovecampaign performance,everyday,foreveryoneofour clients across the globe. Our ambitionas a … Data Science teamis to further extendsuchcompetitive advantagebyinnovating ouralgorithmsand expandinginto more digital advertising platforms. We are on the lookout for aSeniorData Scientisttojoin our team tofurther improve our proprietary algorithms, as well as to innovatethe product with latest advances in ML/AI. The role will report to VP DataScience andbe part ofasmall (but growing!) team of Data Scientists. The ideal candidate … willhave a backgroundin optimisation (algorithms, or related ML disciplines),strong statistical knowledge andhands-on cloud technology experience. As our algorithms are all proprietaryand built on in-house team, the candidateneeds to betruly, technically competent, to be able to quickly learn a complex system, customise source code, add in new features and code from scratch. Whilst model deployment/software developmentexperience More ❯

AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities in the most strategic … You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role, you will be capable of using GenAI and other techniques to design, evangelize, and … edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, assist them in the implementation of generative AI solutions, deliver briefing and More ❯

development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance of machine learning models using appropriate metrics and … statistical techniques. Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance. Debug and solve issues related to machine learning algorithms and audio software applications. Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively. Our Minimum Qualifications for this Role: Ph.D. in relevant field More ❯

AWS EMEA SARL (UK Branch) - F93 Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in … You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and … edge solutions for never-before-solved problems. Key job responsibilities Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges. Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing More ❯

to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning/data mining algorithms to answer those questions and implement those on the C3 AI Suite so they can run at scale. Responsibilities: Driving adoption of Deep Learning systems into next-generation of C3 … AI products. Designing and deploying Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience More ❯

Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold’s scientific computing team to deliver foundational technology behind our algorithms and machine learning models, and tools that enable KoBold’s talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent … scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of … on new opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold’s proprietary More ❯

develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for … data workflows, and analytical processes. Key skills/knowledge/experience: 5+ years of experience in AI/ML development and data science. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python More ❯

Director of Scientific Computing to help accelerate our mission. About the position In this role, you will lead KoBold's scientific computing team to deliver foundational technology behind our algorithms and machine learning models, and tools that enable KoBold's talented mineral explorers to collaborate worldwide. Scientific computing at KoBold includes challenges such as serving machine learning models on continent … scale satellite data, automated algorithms for optimal design of multibillion dollar capital projects, deep-learning based geophysics emulators, and cloud-hosted, globally available custom 3D scientific and visualization tools. The infrastructure, algorithms, and analysis tools built by you and your team will enable insights that accelerate discovery and development of critical battery metals. You will join an outstanding team of … on new opportunities and technologies to build and test hypotheses and models of the subsurface. Ultimately, your role is to help KoBold make valuable discoveries by building and deploying algorithms, pipelines, distributed computing, and collaboration tools at scale to solve scientific problems. Responsibilities The Director of Scientific computing will be responsible for: Technical execution and leadership Develop KoBold's proprietary More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

insights that drive strategic decisions. Support predictive modeling: Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions: Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams: Work closely with finance, product, and technology teams to align data science initiatives with … or related fields. Proficiency in programming languages: Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning: Familiarity with predictive modeling techniques and algorithms, in particular NLP, LLM's and Time Series Forecasting. Experience with data visualisation tools: Knowledge of tools like Tableau/Power BI, or similar to present data effectively. Strong analytical More ❯

is a great time to join as engineering is currently undergoing significant investment. The team works very closely with the trading and research teams, building the tools, platforms and algorithms that drive the centralised global trading operation. The Role You can expect a range of work, from building new execution algorithms and platforms, to developing tools for manual traders and More ❯

you access to global opportunities without navigating the typical hiring grind. You'll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy … similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication More ❯

gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy … similar role (minimum 1 year ) Strong proficiency in Python and popular ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication More ❯