126 to 150 of 2,158 Algorithms Jobs in London

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 ❯

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 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 ❯

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 ❯

to pursuing their passions. Connecting people across the world is a complex problem with many machine-learning applications. The purpose of this role is to implement mathematical models and algorithms to solve complex business problems in recommendations and classification. Successful outcomes will significantly impact our hundreds of millions of daily active users around the globe. As a Senior Data Scientist … and storytelling skills with both technical and non-technical audiences. Ability to present complex technical subjects to non-technical stakeholders. Ability to read AI research publications and implement the algorithms & architectures from scratch. Advantages Advanced knowledge in generative models: Auto-encoding, adversarial models, compression. Worked on deep learning graph model solutions with 10's of TB of data. Publication in 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 ❯

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 ❯

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 More ❯

an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for … preferred. Minimum six years of experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication More ❯

Engineer and you will have the opportunity to: Collaborate with colleagues on production systems and write, test, and maintain production quality code Design, train, experiment, and evaluate ML models, algorithms and solutions Demonstrate technical leadership by owning cross-team projects Stay current with the latest research in AI and incorporate new findings into our models and methodologies Represent Bloomberg at … in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experience Proficiency in software engineering An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. A track record of authoring More ❯

practices. Continuously identify opportunities to improve our search systems and rapidly explore and experiment ideas for improvement, and release ones that have promise. Design, train, experiment, and evaluate models, algorithms and solutions Anticipate data needs for building and evaluating ML-driven systems. Take ownership of securing such data by coordinating with data owners and annotators. At the same time, identify … experience through internships Experience with deep learning frameworks such as PyTorch Proficiency in software engineering An understanding of Computer Science and software engineering fundamentals such as data structures and algorithms and a data oriented approach to problem-solving Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders A track record of authoring More ❯

role is essential for driving insights, automating processes, and delivering impactful business outcomes. Key Responsibilities ML and AI Model Development Design, build, and deploy machine learning models using advanced algorithms, including AutoML techniques. Develop and fine-tune models for regression, classification, clustering, and deep learning. Explore and implement state-of-the-art AI approaches such as transformer models, generative AI … related field. Equivalent experience will be considered. Experience Minimum of 5 years in a data science or machine learning-focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML 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 ❯

in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and … familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset More ❯

in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and … familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset More ❯

build processes PREFERRED QUALIFICATIONS PREFERRED QUALIFICATIONS - Experience in systems development with a focus on large-scale data systems, knowledge graphs, or graph-based technologies - Strong knowledge of data structures, algorithms, big "O" analysis and designing for performance, scalability and availability - Strong understanding of graph data structures, algorithms, and graph database technologies - Experience as a mentor, tech lead, or leading an More ❯

us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME? The role We are building the sportsbook of tomorrow at Kindred Group. Machine learning algorithms and AI are at the heart of how we will deliver an unrivalled customer experience and unlock operational efficiencies through automation. Our Data Science (DS) and Machine Learning Engineering (MLE … in sports personalisation & recommendations. Excellent interpersonal skills, able to explain complex concepts to stakeholders. Ability to coach, support and mentor more junior team members. Advanced knowledge of machine learning algorithms and general statistical methodologies and theory. Advanced knowledge of AB testing and design of experiment. Advanced Python and SQL skills, experience using Spark for processing large datasets. Understanding of software More ❯

to help them develop technical excellence. Essential Qualifications and skills Will have 4-5 years' experience as a data scientist with proven ability to conceptualize, formulate, prototype and implement algorithms to solve complex business problems. Can coordinate and manage competing priorities across a portfolio of projects Compile, integrate, and analyse data from multiple sources to answer business questions Experience communicating … to both technical and non-technical audiences to facilitate feasibility assessment, prioritisation and adoption. Have scientific mindset and understanding of statistical modelling and the mathematical foundations of Machine Learning algorithms Proficient in Python Have a deep knowledge of a sufficiently broad area of technical specialism (e.g. Time Series, Combinatorial Optimisation, Reinforcement Learning, Bayesian Statistics, NLP etc.) Good knowledge in mining More ❯

techniques along with performing statistical analyses leading to the understanding of the structure of data sets. Proven and demonstrable experience with at least three of the following machine learning algorithms: neural networks, logistic regression, non-linear regression, random forests, decision trees, support vector machines, linear/non-linear optimization. Experience working with Java and Python, and strong understanding of data … structures, algorithms, and software design patterns. Experience with AI and Gen AI frameworks (e.g., TensorFlow or PyTorch). Experience with at least one cloud-based platform (e.g., AWS SageMaker or Azure Machine Learning). Adept at translating business problems into solution statements. Strong communication skills and bilingualism/multilingualism are highly desirable. Open for travel (50% — national and international travel 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 enables the acceleration of our ML products delivery and improve our workflows Take an active part in our AI and ML community and … Nice to have Hands-on building large-scale reinforcement learning solutions for content recommendation Experience with transport industry Experience with cloud infrastructure Experience with graph technology and/or algorithms Have experience with NLP, designing, fine-tunning and developing GenAI models and building agent AI systems Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM More ❯