1 to 25 of 1,999 Permanent Algorithms Jobs

business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. 4. Communication More ❯

data quality and integrity. • Create data visualizations and interactive dashboards to present findings and insights. • Apply natural language processing (NLP) techniques for unstructured data analysis and text mining. • Develop algorithms for pattern recognition, clustering, and classification of data. • Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling. • Ensure compliance with data privacy, security and ethical guidelines in More ❯

concepts across company stakeholders Extra kudos if you have: Prior experience in verification and validation of on-road Motion Planning systems Understanding of decision making, trajectory generation and control algorithms Exposure to automotive testing and simulation frameworks (e.g. Applied Intuition, Carla, etc.) Extensive experience with a variety of CI/CD tools and technologies (e.g., Git, Gitlab, Jenkins, GCP, AWS More ❯

Lead data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science Develop and implement predictive models, classification algorithms, and clustering techniques to support research goals Apply natural language processing (NLP), computer vision, or other domain-specific algorithms as required by the research Design, develop, and optimize advanced algorithms … field 5+ years of hands-on experience in data science and computer research, with at least 3 years working in a research-focused environment Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models Experience with data visualization tools (e.g., Matplotlib, Seaborn More ❯

and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. 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. By the end of … and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS … expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of More ❯

business intuition to invent the future of Accounts Payable at Amazon. As a key member of the science team, the Data Scientist will own high-visibility analyses, methodology, and algorithms in the Procure-to-Pay lifecycle to drive free cash flow improvements for Amazon Finance Operations. This is a unique opportunity in a growing data science and economics team with … as a point of contact for questions from business and operations leaders. - Develop code to analyze data (SQL, PySpark, Scala, etc.) and build statistical and machine learning models and algorithms (Python, R, Scala, etc.). A day in the life As a successful data scientist in GDA's Science team, you will dive deep on data from Amazon's payment More ❯

Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings More ❯

Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings More ❯

Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings More ❯

Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings More ❯

Data Analysis and Interpretation: Analyzing large datasets using statistical and machine learning techniques to identify trends, patterns, and insights. Model Building and Evaluation: Developing predictive models using machine learning algorithms to solve business problems. This includes selecting the right algorithms, training models, and evaluating their performance. Data Visualization: Creating clear and impactful visualizations (charts, dashboards, reports) to present data findings More ❯

data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members' work via independent programming in R Implement and optimize algorithms for processing and analyzing data, with a focus on optimizing the CODEX database. Develop custom R packages and integrate existing tools with external systems, databases, and platforms (e.g., cloud infrastructure More ❯

and window functions) Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy , sklearn ) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and lead on More ❯

edge AI and model-driven engineering. Job responsibilities Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands More ❯

RELEVANT EXPERIENCE Bachelor's degree in computer science, Electrical Engineering or related technical discipline. 2+ years of relevant experience in software development, including a clear understanding of data. structures, algorithms, software design and core programming concepts. Comfortable multi-tasking, managing multiple stakeholders and working as part of a global team. Strong client/stakeholder management skills with strong interpersonal skills More ❯

edge AI and model-driven engineering. Job responsibilities Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

Join to apply for the Software Engineering Director role at AWTG Ltd Join to apply for the Software Engineering Director role at AWTG Ltd We are seeking an experienced Software Engineering Director to lead the company’s software and product More ❯

full lifecycle-from prototype to deployment-delivering impactful, client-ready solutions that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to … team development and onboarding. Required Qualifications Education: Master's degree in Machine Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with Java, C++, or deep learning frameworks is a plus. Tools & Platforms: Hands-on experience with Kubernetes More ❯

filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications More ❯

data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability More ❯

Computer Science or related field. 14+ years of software engineering experience. Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns. Solid understanding of data structures, algorithms, and computational complexity. Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology Active Top Secret/SCI More ❯

similar software processes may be substituted for a bachelor's degree. Strong software development skills with Java, Python, Object Oriented Programming concepts and patterns. Solid understanding of data structures, algorithms, and computational complexity. Experience in the full SDLC (Software Development Life Cycle) that includes Requirements Analysis, Design, Coding, Testing, Implementation, Maintenance with the Agile Methodology Top Secret/SCI Clearance More ❯

that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯

achieve organizational goals, with a commitment to fostering an inclusive and innovative culture. Foundational knowledge of programming languages (e.g., React, Python, JavaScript, Java, C++, C#), databases, data structures and algorithms Understanding of software skills including business analysis, development, maintenance, and software improvement. Proficiency in developmental toolsets Basic knowledge of industry-wide technology trends and best practices Exposure to agile methodologies More ❯