1 to 25 of 304 Permanent Algorithms Jobs in London

strategy lifecycle management. Software Engineering Strong Python development skills with experience building production-quality applications. Strong understanding of software engineering principles, including data structures, algorithms, software design, API development, testing, and version control. Experience developing scalable analytics, automation, or data-driven applications. AI & Intelligent Automation Experience designing, building, or deploying ...

Python, SQL, Power BI, Tableau, Databricks, Palantir Foundry. Understanding of technology risks, cybersecurity principles and control frameworks. Ability to assess and test automated controls, algorithms and AI-enabled processes. Ability to design innovative technology solutions to improve business processes. Required Personal CompetenciesIntellectual curiosity and passion for innovation. Strong problem-solving ...

Experience designing and developing RESTful APIsand integrating with third-party services. Solid understanding of software design principles, design patterns, object-oriented programming, data structures, algorithms, and scalable system architecture. Experience working with relational and NoSQL databases. Familiarity with Agile development methodologies and modern software delivery practicesAI Fluency – Experience or familiarity ...

cleaning and processing pipelines· Implement orchestration pipelines and CI/CD deployment processes· Ensure software quality through logging, error handling and automated testing· Harden algorithms against operational and data edge cases· Quantify product adoption and value capture· Engage with business stakeholders to gather requirements and feedback· Contribute to feature prioritisation ...

Financial Services, FinTech, Trading, Low Latency, C++, Linux) Lead rapid prototyping and validation efforts: Design and implement proof-of-concept solutions for new trading algorithms and system approaches, with emphasis on speed-to-market and iterative feedback from stakeholders. Drive troubleshooting investigations: Investigate complex production issues, performance anomalies, and system ...

production environmentsArchitectural mastery and technical depth – Proven track record of designing maintainable, scalable systems; excellent understanding of software architecture, design patterns, data structures, algorithms, and the ability to make architectural decisions and live with their consequencesBachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience)Visionary ...

experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have team leadership experience, happy to mentor and develop others as well as provide 1-2-1s and performance reviews You're collaborative ...

Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management We give back to the technology community and you can read ...

Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: If indicated, please note that years of experience ...

than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc).Strong analytical and problem-solving skills, with ...

than a number. Experience working in fintech or within the financial services industry. Proficient understanding of core computer science principles, including data structures, algorithms, software design, and complexity analysis. Demonstrable programming ability in at least one modern language (e.g., Python, Java, Go, etc).Strong analytical and problem-solving skills, with ...

agentic workflows, implementing RAG architectures, and integrating AI capabilities into existing products and systems Deep ML technical skills – Strong proficiency in Python and ML algorithms ranging from classical techniques to deep learning; proven experience training, fine-tuning, and deploying neural network models using PyTorch with focus on performance optimization ...

Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

outcomes. SkillsAI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC ...

evaluation frameworks)Familiarity with LLM-based systems for structured information extraction from unstructured textAn understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solvingExcellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders such ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

learning, data science, or applied AI roles. Proficiency in Python and ML libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).Strong understanding of statistics, ML algorithms, and model evaluation techniques. Experience working with cloud platforms (AWS, Azure, or GCP) and ML pipelines. Ability to analyse large datasets and communicate insights effectively. ...

turns our clients analytical capability into real commercial impact for our clients. Working directly with retailers and brands, we design and deliver the models, algorithms and insights that answer the hardest questions in retail from personalisation and basket analysis to pricing, promotions and customer loyalty. Every insight we produce ...

developing production quality Python is essential Deep understanding of Agentic AI systems and multi-agent architectures Proficiency in machine learning and and deep learning algorithms such as Deep learning, NLP, Neural networks, multi-class classifications, decision trees, support vector machines, Strong adherence to software and ML development fundamentals (e.g. code ...

experience with an Object-oriented language (preferably Java), Multi-Threading and any relational databaseSolid architectural understanding of enterprise applicationsUnderstanding of computing science fundamentals – concurrency, algorithms, data structures, design patterns, etc. PreferredExperience with Java Core, Spring framework and LinuxExperience developing large financial software trading systems with substantial hands-on development experience ...

productization based on common customer patternsRequired Qualifications5+ years of software engineering experience with 3+ yrs of Management experience with strong fundamentals in data structures, algorithms, and system designProduction Python expertise with experience in modern ML/AI frameworks (e.g., LangChain, LlamaIndex, HuggingFace, OpenAI API)Experience with cloud platforms ...

objectives, constraints and trade-offs for complex ML systemsModel Development & ProductionDesign and implement production-grade ML models (e.g., gradient-boosted trees, deep learning, optimization algorithms, bandits/RL policies) that operate reliably under real-world constraints in collaboration with engineering. Build robust training, evaluation, and serving pipelines with embedded observability ...