1 to 25 of 223 Permanent Algorithms Jobs in London

Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master’s or Ph.D. in Data Science, Computer ...

Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master’s or Ph.D. in Data Science, Computer ...

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM ...

learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical ...

join our team. What You’ll Do Apply data science techniques to solve complex business challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling Advise clients on data strategy, governance ...

join our team. What You’ll Do Apply data science techniques to solve complex business challenges Design and implement predictive models, machine learning algorithms, and AI-driven solutions Build and optimize data pipelines for advanced analytics Deliver insights through statistical analysis, visualization, and storytelling Advise clients on data strategy, governance ...

above) in Computer Science, Mathematics, Physics, Engineering, or another quantitative discipline Curiosity about quantitative finance, markets, and data-driven decision making Solid understanding of algorithms, data structures, and software engineering principles Desire to learn, experiment, and solve complex technical problems Ability to communicate clearly and work effectively in a team ...

above) in Computer Science, Mathematics, Physics, Engineering, or another quantitative discipline Curiosity about quantitative finance, markets, and data-driven decision making Solid understanding of algorithms, data structures, and software engineering principles Desire to learn, experiment, and solve complex technical problems Ability to communicate clearly and work effectively in a team ...

skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ ...

skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ ...

software development lifecycle Proven experience in guiding non-technical teams and consultants on best practices for scalable and reliable software development Expertise in optimizing algorithms and software design for computational efficiency Motivation to thrive in a fast-paced, client-focused environment , engaging directly with clients to shape new features ...

software development lifecycle Proven experience in guiding non-technical teams and consultants on best practices for scalable and reliable software development Expertise in optimizing algorithms and software design for computational efficiency Motivation to thrive in a fast-paced, client-focused environment , engaging directly with clients to shape new features ...

environments Good understanding of agile software development methodology Thorough understanding of fundamental software engineering and computer science principles: object-oriented design, structured design, databases, algorithms, data structures, usability, refactoring debugging, agile software development methodology and industry best practices. Excellent design and problem solving skills Experience providing architectural guidance and mentoring ...

environments Good understanding of agile software development methodology Thorough understanding of fundamental software engineering and computer science principles: object-oriented design, structured design, databases, algorithms, data structures, usability, refactoring debugging, agile software development methodology and industry best practices. Excellent design and problem solving skills Experience providing architectural guidance and mentoring ...

have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

have experience 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 Please note you must be a UK citizen ...

fundamentals with practical ML delivery experience, and who enjoys working collaboratively in agile teams. Youll bring: Strong Python development skills and solid grasp of algorithms, data structures and cloud concepts. Experience contributing to solution design and familiarity with architectural patterns/frameworks. Proven delivery of serverless pipelines in Azure/ ...

team of elite researchers and engineers, defining our core ML/AI research agenda, and ensuring the robust, scalable deployment of all novel algorithms into our production environment. What You Will Lead: Key Responsibilities 1. Technical Vision & Research Strategy Set the Technical Roadmap: Define the multi-year research and engineering ...

team of elite researchers and engineers, defining our core ML/AI research agenda, and ensuring the robust, scalable deployment of all novel algorithms into our production environment. What You Will Lead: Key Responsibilities 1. Technical Vision & Research Strategy Set the Technical Roadmap: Define the multi-year research and engineering ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...