51 to 75 of 223 Algorithms Jobs with Hybrid or WFH Options

engineer to drive the product expansion. Your Role: Develop data-intensive applications in Python. Experience with Django, Flask or FastAPI. Design, implement, and test algorithms and data models. Build and maintain data processing pipelines. Design and deploy backends for web/mobile products. Collaborate in a fast-paced agile environment. 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 »

will have the following skills/experience - • Between 1 – 8 years’ commercial experience within Python • Strong understanding of OO principles, design patterns, data structures & algorithms • Computer Science Degree or similar, ideally from a top University • Personality and genuine passion in technology! • (nice to have but not essential) Recently worked in 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 »

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 »

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 »

and Development. Your expertise will help create realistic datasets that replicate real-world scenarios, driving ethical and innovative data-driven solutions. Key Responsibilities: Develop algorithms for generating synthetic datasets mirroring real-world diversity and accuracy. Enhance and expand our data generation systems and simulations. Implement new procedural generation systems using more »

requirements into scalable, efficient, and secure software solutions using the Python stack. Role and responsibilities: Write clean, maintainable, and efficient Python code to implement algorithms and models. Optimise performance and scalability of AI applications through code optimisation and parallelisation techniques. Develop and maintain scalable web applications using Django framework. Conduct more »

software development lifecycle You have a strong knowledge of software engineering best practices and Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience with SOLID Design Principles, version control, test automation, Continuous Integration You're collaborative and have Agile team experience What's in it 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 »

to design and control systems with desired behaviors. Includes operability, setting of boundaries, cycle optimization, control logic, control related software, sensors, hardware and software algorithms, and feedback to control the performance of devices, sub-systems and systems. Define, design, and implement control system software for aero-derivative gas turbines. Define more »

meet schedules and resolve problems highly complex in nature. Manages issues proactively, including timely resolution and the identification of remediation opportunities. Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets. Keeps abreast of new analytic methodologies and technologies. Collaborates with functional business units more »

then implementation in rating Analyse data, interpret output and communicate results to a non-technical audience Build and test Statistical models and machine learning algorithms Work with Data Enrichment team to obtain and use third-party and internally-generated data sources to enhance models Support the business in the deployment more »

this role will play a lead part in helping maximise the profitability of Smart Grid (SG) managed assets, through oversight and development of the algorithms deployed within our automated trading platform. This in house developed platform (aka Virtual Power Plant or VPP) controls action on those assets, according to their more »

an enthusiastic and knowledgeable Senior Java Developer with a strong comprehension of the Core Java principles alongside a deep understanding in Advanced Computer Science: Algorithms Graph theory Interval graphs Compiler theory You will be a fantastic Senior Java Developer if you have worked with Core Java and have extensive experience more »

of excellence in the Hampshire area to develop and innovate cutting edge technology. The Algorithm Engineer - Matlab will be responsible for designing and developing algorithms and software for our various touch sensor products. The role will include the opportunity to work on a wide variety of engineering problems within the more »

driven platform that offers key insights for better decision making. Role details of the DevOps Engineer Apply signal processing to reduce noise and improve algorithms Manage machine learning models and computational resources for real-time inferencing. Process big data using Datalake/Datawarehouse and ETL tools (Athena, Amazon EMR, Amazon more »

the design component library. Key Requirements: Minimum 5 years of product design experience with B2B and B2C exposure. Experience in using AI/ML algorithms to analyze large datasets and make design decisions and product features Strong portfolio demonstrating end-to-end product design projects. Experience in conceptual and system more »

team, focusing on analyzing behavioural data to enhance our understanding of customers. ROLE: Spearhead the development and application of advanced data science models and algorithms, utilizing clinical trial and survey data. Plan and execute intricate data analyses to uncover significant patterns, trends, and insights. Work closely with cross-functional teams more »

clean, and explore customer data from various sources. Identify patterns, trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to more »

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Software Engineer you will focus on enabling the core product more »

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Technical Account Manager your role will be split between working more »

in slow, costly, and often ineffective workarounds for collaborations between trusted partners. My client is developing a secure network to enable organisations to send algorithms to data, allowing data benefits to be shared without moving the data, compromising privacy, or exposing raw data. They are currently focusing on applying their more »

data from various sources. • Identify patterns, trends, and correlations within the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to more »