1 to 25 of 325 Algorithms Jobs

have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy ...

with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes ...

software development, with a focus on AI and machine learning. Proven experience with Vector Database is essential. Strong knowledge of AI principles, machine learning algorithms, and data structures. Proficiency in programming languages such as TypeScript, Python Excellent problem-solving skills, with the ability to troubleshoot complex software issues. Strong understanding ...

data collection. Devising techniques for data capture/analysis, and building rapid prototypes and proofs of concept. Contributing to research, prototyping, and testing of algorithms and models. Supporting the development of statistical and machine learning methods for healthcare applications. Collaborating with data scientists, engineers, and clinicians to solve challenging problems. ...

architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

regular progress updates and conduct technical reviews of test activities and results. Qualifications Domain Expertise Deep understanding of firmware, operating systems, applications, networks, encryption algorithms, and access control models. Proficiency in coding languages: Assembly, C, C++, Java, C#, .NET, Python. Expertise in operating systems (Linux, Windows), databases (MS SQL, MySQL ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

deliver high-impact, data-driven solutions. Key Responsibilities Develop data pipelines , machine learning , and optimisation models in Python Build and industrialise ML/optimisation algorithms using best-practice software engineering principles Implement automated data cleaning pipelines and workflow orchestration (e.g. Dagster) Integrate ML/optimisation models into full product stacks ...

optimise advanced machine learning models including: Supervised and unsupervised learning Ensemble methods Deep learning architecture Optimisation and probabilistic models Evaluate and select appropriate algorithms based on data characteristics, performance trade-offs, scalability, and interpretability requirements Apply knowledge of deep learning architectures such as: CNNs for vision use cases RNNs/ ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What ...

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning, prototyping ...

C#, Linux, PCB layout, STM32, Atmel, KiCAD, VS, Prototyping, GIT version control, serial protocols, SDKs, TCP/IP, Ethernet, Python, Java, Pascal, applied mathematics, algorithms, Mathematics. ...

global brands for forecasting, optimization, and analytics. 🛠 What you’ll do: Build, maintain, and improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best practices ...

Solid understanding of mobile app architecture and state management patterns Understanding of asynchronous and multi-threaded programming Good knowledge of OOP, data structures, algorithms, and problem-solving Experience with Git, Azure DevOps and/or GitHub Familiarity with CI/CD workflows for mobile apps Ability to work effectively ...

Solid understanding of mobile app architecture and state management patterns Understanding of asynchronous and multi‐threaded programming Good knowledge of OOP, data structures, algorithms, and problem‐solving Experience with Git, Azure DevOps and/or GitHub Familiarity with CI/CD workflows for mobile apps Ability to work effectively ...

Java, or Objective‐C Strong understanding of mobile architecture & state management Experience building network layers using RESTful APIs Solid grasp of OOP, data structures, algorithms, and complexity analysis Proficient with Git, Azure DevOps and/or GitHub Experience with CI/CD for mobile development Self‐motivated, proactive, and able ...

provider models to ensure we are continually optimising for quality and cost Skills Required: Competent in primary tech stack Confident with computer science basics (algorithms, data structures, complexity, design patterns) Is productive with the basic tools in their discipline Key Skills Can contribute to an existing framework Adheres to test ...

Design, Engineering) Experience recruiting and mentoring junior engineers is a plus 💡 Skills Proficiency in modern programming languages and frameworks Strong grasp of data structures, algorithms, and software design principles Experience with databases, APIs, and networking Knowledge of software testing methodologies and tools Familiarity with DevOps practices and tooling Ability ...

continuous integration and delivery processes. • Pipeline Implementation: Build and manage complex pipelines to ensure automated testing and reliable deployment of Java-based trading algorithms, including scaling Jenkins or migrating to alternatives like GitHub-Actions. • Infrastructure & Containerization: Manage application containerization using Docker to maintain consistency across development, testing, and production environments. ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

machine learning development Strong knowledge of AI frameworks (TensorFlow, PyTorch, Keras) Experience with NLP and computer vision models Strong understanding of machine learning algorithms and statistical modeling Experience with cloud-based AI platforms (AWS SageMaker, Google Cloud AI Platform) Excellent problem-solving and communication skills Qualifications Master's degree ...

distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding in systems research methodology, distributed algorithms, and profiling tools. · Team-oriented mindset with effective technical communication skills. Desired Qualifications and Experience: · PhD in systems, distributed computing, or large-scale AI infrastructure. ...