1 to 25 of 50 Permanent Algorithms Jobs in London

designing and developing RESTful APIs and 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 practices AI Fluency – Experience ...

production environments. Architectural 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 consequences Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent ...

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 ...

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. ...

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 ...

Need to Have: Deep ML technical expertise – 12+ years of professional experience building production AI/ML systems, with strong proficiency in Python, ML algorithms (from classical techniques to deep learning), and modern ML frameworks; proven track record of delivering advanced generative AI and ML solutions ML architectural mastery ...

machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. ...

product's capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

products capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset ...

product's capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

/PostgreSQL/MongoDB. What You Need: 5+ years of full stack software development experience. Strong foundation in OOP, Design Patterns, Data Structures, and Algorithms (Karat interview process). Experience in Agile/Scrum environments with CI/CD (Git) and test automation. Bachelor's degree in Computer Science ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Legal Disclaimer: We are an equal opportunity employer. ...

Equity Swaps . Demonstrable experience taking ownership of technical architecture and delivering substantial projects independently. Strong understanding of object-oriented design, data structures, algorithms and software engineering principles. Experience working with relational databases such as SQL Server or MySQL. Ability to articulate architectural decisions, evaluate technical trade-offs and solve ...

Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look ...

Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look ...

product's capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

products capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple asset ...

product's capabilities are ahead of competitors in the market. Responsibilities: Development of financial pricing libraries, calculators as well as risk/pricing-related algorithms Using our in-house big data language for the large-scale analysis and production of securities data Research and development of market dynamics across multiple ...

credit outcomes. Make the meaning, timing, source and limits of each relationship explicit. Work with data scientists to test whether graph relationships, features or algorithms improve a priority model or analytic use case. Compare the result with a simpler baseline and retain what proves useful. Implementation and Partnership Embed ...

succeed in a fast-paced research setting Demonstrates a strong understanding of AI ethics, including fairness, transparency, accountability, and responsible use of data and algorithms If you are passionate about AI and ready to take the first step towards a rewarding research career, we would love to hear from you. ...

Knowledge Graph solutions, working hands-on across the lifecycle from ingestion through modeling, curation, and deployment. You apply current methodologies, techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look ...