101 to 125 of 407 Algorithms Jobs

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

scaling engineering technology company developing world leading optimisation tools for advanced engineering environments such as offshore wind and marine operations. These tools transform complex algorithms into intuitive, high performance digital products — they are now seeking a Senior Python Full Stack Developer to help drive the next phase of growth. This ...

intend to change the world. What you will do: Work with product management and application engineering to understand product requirements Develop control strategies and algorithms to meet or exceed product requirements Develop technical specifications to be used by the team for software development and verification Utilize effective communication techniques ...

Wilmington, MA location to join a team of experts developing Embedded Flight Software for space-based imaging payloads. Responsibilities include designing, developing, and implementing algorithms, controls, and subsystems for aerospace applications. The role involves the complete software lifecycle from development to testing to operation during missions. This is a hands ...

scientific computing, parallel computing Experience with developing for SWaP-constrained environments Experience with developing and maintaining CI/CD pipelines Familiarity with signal-processing algorithms Familiarity with Agile lifecycle process including Scrum and DevSecOps This position is contingent upon the successful transfer of an active DoD Top Secret Clearance ...

10+ years with an advanced degree (e.g., Master's, MBA), or 8+ years with a PhD 5+ years of experience in software development (e.g., algorithms, data structures, systems design) and/or technology operations fundamentals (e.g., observability, event management, incident response, incident management) Preferred Qualifications Relevant Operational Experience Prior leadership ...

10+ years with an advanced degree (e.g., Master's, MBA), or 8+ years with a PhD 5+ years of experience in software development (e.g., algorithms, data structures, systems design) and/or technology operations fundamentals (e.g., observability, event management, incident response, incident management) Preferred Qualifications Relevant Operational Experience Prior leadership ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

team. Responsibilities will include project developing simulation tools for the design of active and passive components. The role will involve the development of both algorithms and professional graphical interfaces to the algorithms. This is a very challenging role and you will need to be able to think creatively to solve ...

technical solutions What we're looking for Experience as a Machine Learning Engineer or Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments ...

this could be the role for you. Key Responsibilities: Plan, deliver, and assess engaging Computer Science up to KS5. Teach key concepts including programming, algorithms, data structures, cybersecurity, and computational thinking. Foster a creative and inclusive classroom environment where students feel confident exploring technology. Prepare students for examinations and real ...

Serve, TensorRT-LLM, or TGI). Proficiency in C/C++ for systems development and Python for research prototyping. Solid grounding in distributed algorithms, load balancing, and state management. Proven ability to conduct systems research, ideally evidenced by publications in top-tier conferences. Keywords: Systems Research Engineer/Distributed Systems ...

advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights Collect, clean, and process football-related data from diverse sources Build clear, compelling visualizations and deliver ...

frameworks Strong programming skills in C/C++ Python for prototyping and experimentation Experience with performance profiling and optimisation tools Solid understanding of distributed algorithms Nice to Have PhD in systems, distributed computing, or AI infrastructure Publications in top-tier systems or ML conferences Experience with load balancing, fault tolerance ...

function matures. Likely technologies and themes include: Python development OpenAI models Anthropic models AWS Bedrock LLM workflows Agentic AI systems Machine learning algorithms API-led microservices Cloud platforms Monitoring, management, and alerting Vulnerability management workflows AI-assisted report generation Security testing automation The current product direction is centred on building ...

framework. Incorporating or adapting additional existing Dstl data/models (e.g. signatures) into studies. Library linking, development from theory, and re-coding of existing algorithms and data. Understanding and aligning assumptions and data across components. Understanding and implementing the interactions of multiple entities in a scenario. Within the role ...

VLMs);Agentic AI: Exploring multi-agent systems and their dynamics;Explainable AI: With a particular emphasis on mechanistic interpretability.Invent, evaluate, and publish novel algorithms, aiming for theoretical guarantees when working with structured and unstructured data.Pursue and complete a PhD thesis within the appointed 4-year duration.Join the Vienna Doctoral School ...

patterns — tool-use, RAG, function calling — and how marketplace APIs can be exposed to LLM-based agents. Experience with search relevance & recommendation systems — ranking algorithms, semantic search, personalisation. Hands-on with Snowflake, Databricks, Airflow, Kafka . Why Join Us Work on firm-wide platforms used by thousands of data scientists ...