76 to 100 of 458 Algorithms Jobs

best practices 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's in it for you: As aLead ...

fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions. Research, develop, and champion ...

maintaining test automation for large codebases Experience with testing multi-tiered backend systems Solid foundation in computer science, with knowledge of data structures, algorithms, and software design/architecture Passion for quality and an understanding of the latest test automation technologies and frameworks Experience in developing performance test plans ...

their skills. Shape the architecture and technical direction of our products, balancing scalability with speed of delivery. Design and integrate AI models and algorithms that unlock insights from national connectivity data to tackle real-world challenges. Leverage unique datasets from Ofcom, Openreach, independent networks and ISPs to uncover problems that ...

contractual/legal. Apply NLP techniques in order to maintain and extend the current rule-based, supervised and unsupervised methods. Apply ML/DL algorithms and technologies to NLP tasks such as Named Entity Recognition, POS tagging, Parsing, Sentiment Analysis, Clustering, text prediction etc. Develop a comprehension of the technologies ...

Systems Thinking: Apply formal methods, distributed systems design, and computer science principles to ensure correctness, scalability, and resilience.Stay current with advancements in embeddings, search algorithms, vector stores, and LLM serving platforms.Advise teams on tradeoffs of embedding models, vector DB choices, and migration strategies.REQUIREMENTSStrong background in Computer Science, Machine Learning ...

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 ...

ownership and autonomy in a high-stakes environment What we’re looking for 2–5 years’ experience as a software engineer Strong fundamentals in algorithms & data structures Proficiency in Java, C++, Go, or similar (Go experience not required) Experience with distributed systems Interest in data analysis/statistics (regressions, data ...

clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working ...

allow you to develop your skills and knowledge with like-minded engineers. Keywords: Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug ...

from the police.- Develop APIs for secure data exchange between systems.- Build and deploy microservices for data ingestion and processing workflows.- Host and execute algorithms or data science models within backend services.- Ensure secure data handling and compliance with justice-related data requirements.- Manage CI/CD pipelines and automated ...

projects. Essential Skills & Experience: Proficiency in C++ and object-oriented programming. Strong debugging, fault isolation, and problem-solving abilities. Knowledge of data structures, algorithms, and software design patterns. Experience with code configuration management systems (e.g., Subversion). Understanding of network programming, data serialization, and database design/administration. Front ...

Poetry/uv) Automated testing (pytest, unittest.mock, BDD/behave, JSON schema) Concurrency and parallelism (threading, multiprocessing, async I/O) Solid understanding of algorithms, data structures and optimisation Linux/UNIX proficiency, including POSIX concepts and networking Experience interfacing with C/C++ APIs and basic C++ knowledge Strong ...

should have: 3–7 years of professional software engineering experience Strong fundamentals and ability to write clean, testable, efficient code Solid CS foundation: algorithms, data structures, concurrency, networking, etc. Strong ownership mindset and clear communication Signals of technical excellence (any of these helps): Top academic performance in CS/math ...

experience building, testing and deploying APIs & distributed systems Familiarity with microservice architectures and event-driven systems Strong knowledge of design patterns, data structures, algorithms and problem-solving Experience with cloud-based infrastructure (AWS; Kubernetes and Terraform a plus) and DevOps practices Thorough knowledge of Git and other contemporary development technologies ...

best practices 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 Apply now to find out more about this ...

selection of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks. Implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance, with focus on GNSS denied localisation. Development of real-time systems for data acquisition ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

Enthusiasm to learn and iterate quickly You’ll be contributing to and shipping real products Preferred Qualifications Experience with TypeScript and SQL Experience with algorithms and data structure Experience with personal or university projects (website and GitHub links very welcome) London based or able to work hybrid with our team ...

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 ...

reports for clinical and operational teams. Advanced analytics tasks involve applying predictive modeling, machine learning, and statistical techniques to Pathology data, developing algorithms for forecasting and anomaly detection, and integrating outputs into dashboards using tools like Python or R. As a site lead, the role acts as the primary ...

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 ...