1 to 25 of 100 Algorithms Jobs in the UK excluding London with Remote Work Options

Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience working in an agile development team or on open-source development projects. Experience with optimization, algorithms or related quantitative processes. Experience with DevOps and tools like Azure DevOps Experience with AI-related projects/products or experience working in an AI more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

a team Great communication skills with fluent spoken and written English Responsibilities for R&D Software Engineer/Developer: Develop cutting-edge machine learning algorithms to understand and analyse text Innovate and create ideas to further enhance the software product Traditional project-based development You will be expected to pick more »

with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure more »

and a portal interface to explore, combine, visualise and access a wealth of perturbation data. This will enable the extension and application of existing algorithms and the design of new computational methods for functional genetics and target identification and prioritisation, offering enhanced statistical power and the capability to work with more »

that will advance global infrastructure. In our collaborative environment, you'll have the freedom to explore ideas and contribute to creating cutting-edge simulations, algorithms, and machine learning-based solutions. You will have: A recent degree in Mathematical Sciences, Computer Science, Physics or a related field. Some practical experience from more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

in areas such as CI/CD, build pipelines, testing and architecture You have a good understanding of computing fundamentals (e.g. logic, data structures, algorithms, low-level architecture, networks stack) along with strong software design skills, including OO, and knowledge of version control systems such as Git You love nothing more »

Role Responsibility Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract more »

capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any experience leading or mentoring more »

and the Enterprise Architect tool. Execute software implementation and testing in C++, incorporating unit and continuous integration testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs more »

Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience with AWS or other cloud technology Background in AI/ML-based analytics products and distributed systems. Knowledge of more »

Yocto. • “Hardware-In-The-Loop” CI/CD. • Machine vision and/or machine learning. • Kernel space development. • Hardware design experience. • Experience implementing complex algorithms in embedded devices. • Experience with coding standards such as MISRA C. Package: Salary to c£60k, negotiable for a candidate with extremely well matched skills more »

core practices, Analytics, API and platform design, Business Analysis, Cloud Platforms, Coaching, Collaboration, Configuration management and release, Continuous deployment and release, Data Structures and Algorithms, Digital Project Management, Documentation and knowledge sharing, Facilitation, Information Security, iOS and Android development, Mentoring, Metrics definition and instrumentation, NoSql data modelling, Relational Data Modelling more »

Experienced in Python programming and iOS App development using SwiftUI. Desirable experience C/C++ or other OO programming language Signal processing Image processing algorithms Data processing libraries e.g. Pandas, NumPy, SciPy ML & Big Data libraries e.g. TensorFlow or SKLearn Data communication with external devices using UDP/TCP sockets more »

/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and more »

see these skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have:Familiarity with Git or other Version Control SystemsComputer Vision Library exposureUnderstanding of Big more »

commodities. Harness tools like QGIS, Python, and JavaScript to create insightful and interactive maps and data visualizations. Develop machine learning models and pixel classification algorithms for agriculture applications. 🌐 Application Development: Create and maintain web-based applications using React and other JavaScript frameworks to present geospatial data in an accessible, user more »

recommendations to enhance rating efficiency and long-term pricing delivery capabilities, encompassing both testing and deployment. Take ownership of building, maintaining, and monitoring production algorithms and documentation in Radar to support our business. Develop and maintain pre- and post-live testing processes to ensure accuracy. Engage with various stakeholders, including more »

recommendations to enhance rating efficiency and long-term pricing delivery capabilities, encompassing both testing and deployment. Take ownership of building, maintaining, and monitoring production algorithms and documentation in Radar to support our business. Develop and maintain pre- and post-live testing processes to ensure accuracy. Engage with various stakeholders, including more »

Person: Advanced analytics and data science experience Successful delivery of data science projects Expertise in data manipulation and statistical analysis Experience implementing machine learning algorithms Proficiency in BI tools (e.g., Oracle Analytics, Tableau), Python, and SQL Stakeholder management experience Degree in Computer Science, Data Science, or a similar field more »

testing and evaluation of models to ensure high-quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks more »

from many sources. Designing APIs, protocols, and plugins for integration with in-house and third-party software and hardware systems. Working on high performance algorithms and highly parallel real-time processing frameworks. Building tools to aid testing, analysis, and data visualization. Researching, designing, and presenting new technologies and approaches. Required more »

risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. more »