1 to 25 of 309 Permanent Algorithms Jobs in London

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data Build scalable data pipelines and APIs for knowledge graph construction and semantic search Collaborate with domain experts to align model More ❯

role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that extract structured insights from biomedical literature and clinical data Build scalable data pipelines and APIs for knowledge graph construction and semantic search Collaborate with domain experts to align model More ❯

or machine learning (internship, placement, or full-time role) 🐍 Strong programming skills in Python and familiarity with frameworks such as TensorFlow , PyTorch , or scikit-learn 📊 Understanding of machine learning algorithms, data pipelines, and model evaluation ☁️ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git) 💬 Excellent communication, problem-solving, and teamwork skills If you’re passionate about More ❯

remotely. What will you be doing? Design, develop, and maintain robust, well-structured, and well-documented Python-based analytics and optimization modules for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Ensure high code quality through thorough unit and integration More ❯

remotely. What will you be doing? Design, develop, and maintain robust, well-structured, and well-documented Python-based analytics and optimization modules for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Ensure high code quality through thorough unit and integration More ❯

expertise to transform complex agricultural and earth observation data into actionable insights that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will More ❯

analysts to understand real-world requirements and translate them into elegant technical solutions. What We’re Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python More ❯

analysts to understand real-world requirements and translate them into elegant technical solutions. What We’re Looking For Solid understanding of Java and core computer science principles (data structures, algorithms, OOP). Strong problem-solving skills and attention to detail. Eagerness to learn about trading systems, low-latency development, and financial markets. Experience with data analytics tools or frameworks (Python More ❯

software development within a fast-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 complex technical challenges. We are More ❯

with the team. Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning. Solid understanding of machine learning algorithms, data structures, and statistical modelling. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong More ❯

security tools, processes, and controls (e.g., web apps, APIs, CI/CD integrations) Strong communication skills for advising and educating engineers on secure coding and remediation Knowledge of common algorithms and data structures for dealing with large quantities of data (e.g., building data-intensive systems) Experience analysing large datasets for security monitoring, detection, or incident response As part of this More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large More ❯

of strong collaboration, share best 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 field Excellent communicator Self-directed More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

in Computer Science, Mathematics, Physics, Engineering, or a similar field 5+ years of hands-on experience developing Java applications in a financial services environment (Java 21) Excellent knowledge in algorithms and data structures, object-oriented design, and microservices architecture (This will be tested) Proven record of complex software delivery in the Interest Rates domain Excellent Java 21, Spring Boot, strong More ❯

in Computer Science, Mathematics, Physics, Engineering, or a similar field 5+ years of hands-on experience developing Java applications in a financial services environment (Java 21) Excellent knowledge in algorithms and data structures, object-oriented design, and microservices architecture (This will be tested) Proven record of complex software delivery in the Interest Rates domain Excellent Java 21, Spring Boot, strong More ❯

delivering systems used daily across the US, Europe, and Asia. What They’re Looking For 8+ years of professional Core Java development experience Strong knowledge of data structures and algorithms Hands-on experience with SQL and at least one scripting language (Python, Perl, Shell etc.) Solid understanding of network programming fundamentals Degree in Computer Science, Engineering, or related STEM field More ❯