1 to 25 of 262 Permanent Algorithms Jobs in London

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 ...

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 ...

systems integrate Exposure to cloud platforms like AWS, GCP, or Azure Familiarity with SQL or NoSQL databases Knowledge of computer science fundamentals (data structures, algorithms, system design) Writing clean, maintainable code and an interest in CI/CD , testing , or DevOps practices Strong communication and teamwork skills A growth mindset ...

systems integrate Exposure to cloud platforms like AWS, GCP, or Azure Familiarity with SQL or NoSQL databases Knowledge of computer science fundamentals (data structures, algorithms, system design) Writing clean, maintainable code and an interest in CI/CD , testing , or DevOps practices Strong communication and teamwork skills A growth mindset ...

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 ...

join a talented team of like-minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. Design, develop, and maintain scalable back-end services using Node.js and related frameworks. Build and consume APIs, integrate with databases, and manage server-side ...

develop data-driven solutions. Assist in collecting, processing, and analyzing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions ...

develop data-driven solutions. Assist in collecting, processing, and analyzing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

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 ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning ...

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 ...

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 ...

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/ ...

roadmap. Qualifications Proven experience in software engineering, including proficiency in programming languages like Python. Strong knowledge of AI/ML technologies, data structures, and algorithms Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud) Familiarity with renewable energy industry, contract management, or financial analysis ...

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 ...

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 ...

Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker/Kubernetes). Ability to work in highly regulated, security-conscious ...