1 to 25 of 150 Algorithms Jobs in London

have advanced analytical and problem solving skills with a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Deign Patterns, Algorithms You have commercial Golang development experience (likely to have a background with other OO languages such as Python, Java, C++ but you must be happy ...

with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes ...

analysis (EDA) to uncover trends and insights. • Automate reporting and data extraction processes for business teams. • Develop and deploy predictive models and machine learning algorithms for business use cases. • Conduct statistical analysis, feature engineering, and model optimization. • Implement A/B testing frameworks to validate hypotheses and business decisions. • Work ...

Team's work. Knowledge, Skills, Experience & Qualifications 3+ years professional experience with modern Python or C++. Proficiency in C++: good knowledge of data structures, algorithms, and design patterns. Proficiency in Python: ability to prototype, write scripts, and do the data manipulation along with integration with C++ code. Experienced in setting ...

software development, testing, and documentation Required Qualifications Strong programming skills in Python , C++ , or C# Solid foundations in computer science, including data structures and algorithms Experience working with large datasets and time-series data Familiarity with Linux/Unix environments and version control tools (e.g., Git) Strong analytical thinking ...

organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

data processing, analysis, and model creation. Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency. Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model ...

APIs to support accurate risk analytics. Data Quality & Remediation Detect and remediate common market data issues including gaps, stale data, outliers, and misalignments. Implement algorithms for gap-filling, back-filling, and anomaly correction to ensure data is fit for VaR and SVaR calculations. Support ongoing improvements to data quality controls ...

Junior Data Scientist, you will: Transform raw data into meaningful insights that drive strategic decision-making. Develop and implement predictive models and algorithms to enhance our products and services. Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business solutions. Design and conduct experiments to validate ...

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 ...

Python solutions that bring mathematical models to life. 🛠 What you’ll do: Build, maintain, and improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best ...

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 ...

mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience ...

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, reusable, 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, prototyping ...

Engineering, or a related discipline (graduating between December 2025 and June 2026) Strong programming capability in C++ and Python Solid foundations in data structures, algorithms, and operating systems Comfortable working in Linux/Unix environments A strong focus on writing clean, efficient, and maintainable code Excellent analytical thinking and problem ...

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 ...

performance tuning. Experience designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming). Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS). Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows ...

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. ...

C#, Linux, PCB layout, STM32, Atmel, KiCAD, VS, Prototyping, GIT version control, serial protocols, SDKs, TCP/IP, Ethernet, Python, Java, Pascal, applied mathematics, algorithms, Mathematics. ...

asynchronous and event driven programming Experience developing real-time applications Familiar with building distributed systems Knowledge of networks and topologies Firm grounding of common algorithms Excellent oral and written communication skills Proactive team player with a "can-do" attitude Excellent analytical problem solver Attention to detail and thoroughness a must ...

software engineering teams before and know how to get the best out of talented people. - You can talk architecture and algorithms, but you also understand delivery, stakeholder management, and building engineers' careers. - You have a previous hands on software engineering background - You've worked in Engineering, Robotics ...

enhance an FX Options portfolio optimisation platform with full valuation and risk metrics Translate front-office trading and risk management requirements into robust, executable algorithms Implement and maintain models covering: Vanilla FX options pricing First and second order Greeks Volatility surface modelling Stochastic and statistical market models Apply optimisation ...

edge Machine Learning (ML) and Generative AI (Gen AI) solutions. This role focuses on two key pathways: Machine Learning (ML): Specialising in advanced ML algorithms and MLOps practices. Generative AI (Gen AI): Focusing on deploying Retrieval-Augmented Generation (RAG) workflows and managing Large Language Model (LLM) applications. What ...