551 to 575 of 3,515 Algorithms Jobs

model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill A leadership mindset focused on growing the technical capabilities of the team; a caring attitude towards the personal and professional More ❯

years of industry experience with developing machine learning models and creating software pipelines to build and make predictions with those models Strong understanding of machine learning approaches and algorithms (e.g. LSTM, Markov-Chain Models etc) Advanced understanding of Statistical/Probabilistic programming and Linear Algebra Be proficient in (Python, SQL) programming for Data Science and Time Series analysis Have in More ❯

use cases, including machine learning, data visualization, natural language processing (NLP), application development (e.g. Shiny), MLOps, and generative AI (GenAI). Develop and deploy advanced data science models and algorithms to solve complex business problems. Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation. Industry Expertise and Innovation: Serve as an industry vertical expert such More ❯

opportunities for scholarship. Duties include: Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for More ❯

partners and senior stakeholders, providing clear, concise and accurate updates Equities Trading knowledge plus Reference data, market data feeds, analytics, FIX protocol, signals, smart order routing, systematic internalisation, trading algorithms Other technical knowledge Azul Zing, Open HFT Chronical, Google Proto buffers, CPU isolation and tuning You may be assessed on the key critical skills relevant for success in role, such More ❯

Experience with key management systems (HashiCorp Vault, ASW KMS, Azure Key Vault, OCI KMS). Experience with Kubernetes, Terraform, Ansible, Chef, and CI/CD automation. Understanding of cryptographic algorithms (AES, RSA, ECC), hardware security modules (HSMs), and secure key storage practices. Experience working in financial institutions or other highly regulated industries. Knowledge of blockchain technology and its cryptographic principles More ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyses, synthesizes More ❯

Ruby, PowerShell, Bash, or Java for pipeline development and system to system integrations. Strong understanding of KMS concepts, key management lifecycle, hardware security modules (HSMs), and cryptographic principles and algorithms (AES, RSA, ECC). Strong understanding of DevOps practices such as Continuous Integration/Continuous Delivery (CI/CD) and Infrastructure as Code (IaC). Proven experience in developing, deploying More ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

career. At causaLens we are building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions for the business. Our platform More ❯

Our massively scaled out distributed systems process hundreds of millions of updates on the billions of products across physical, digital, and services offerings. To achieve this, we develop the algorithms and build the systems and tools to ensure the safety of the selection and maximize their impact on the Amazon top-line, all the while continuously growing the overall selection. More ❯

partners and colleagues. Advanced Data Solutions Experience And Expertise University degree or equivalent in data science, statistics, computer science, or related field. Expert knowledge in predictive modeling, machine learning algorithms, and statistical analysis. Experience with translating business problems into data science solutions. Hands-on experience with data science tools and programming languages (e.g., Python). Understanding of model development, validation More ❯

Node.js, React, Next.js. 3+ years of working with cloud-based technology, such as AWS and GCP. Experience of building large scale and low latency distributed systems. Solid understanding of algorithms, data structures, performance optimisation techniques, object-oriented programming. Experience with distributed caching, SQL/NoSQL and other databases. Experience of container-based orchestration, such as Docker and Kubernetes. Experience using More ❯

and follow-up actions. Requirements Solid Python knowledge A commitment to writing testable, maintainable code. Familiarity with more advanced SQL techniques. Strong Linux knowledge Basic, but broad, knowledge of algorithms and data structures. Degree in Computer Science or related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarit y More ❯

team The ideal candidate has: Solid Python knowledge A commitment to writing testable, maintainable code. Familiarity with more advanced SQL techniques. Strong Linux knowledge Basic, but broad, knowledge of algorithms and data structures. Degree in Computer Science or related field preferred. Highly preferred: Experience with TDD, BDD or other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with More ❯

Scientists/Engineers with expertise in LLMs, NLP, Knowledge Graphs and Agents. In this role, you will bring both academic and industrial research knowledge to help build LLMs-driven algorithms or frameworks for diverse content understanding and generation tasks, such as KGs construction and completion, LLMs as agents, information extraction for narrative understanding (e.g. novels) and data augmentation etc. The More ❯

hands-on experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication, problem-solving More ❯

models for predictive maintenance in railway systems, working closely with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected from in-service trains. This data will be used to identify early signs of track and vehicle degradation, to allow for More ❯

front end, to design, develop, and support high quality and scalable products. Help maintain and improve code quality, organization, and automatization Create everything from mockups and UI components to algorithms and data structures as you deliver a complete minimally viable product Required education None Preferred education Bachelor's Degree Required technical and professional expertise Key Responsibilities: Design, develop, and deploy More ❯

SharePoint). Desirable: Experience with Azure or other cloud services. Experience with dataset versioning tools (e.g. DVC) Experience with ML models versioning tools (e.g. MLFlow) Understanding of data structures, algorithms, OOP concepts. Understanding of basic software engineering design patterns. Interest in AEC or previous experience or research with the AEC industry. Personal Skills: Proactive in identifying risks, blockers and communicating More ❯

performance monitoring, and production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure More ❯

Snapshot The Gemini Global team’s mission is to be the forerunner in bringing AI technology to users and pushing the boundaries of what is possible in a scalable manner across 46+ languages. The sheer diversity of locales makes scalability More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With More ❯