26 to 50 of 92 Algorithms Jobs in London

network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a C++ Developer you will focus on enabling the core product, written in C/C++ More ❯

production environments, ensuring the accuracy and integrity of our threat intelligence. Examples of desirable skills, knowledge, and experience: Thorough understanding of statistical modeling, hypothesis testing, and various machine learning algorithms, including their strengths and weaknesses across different data types. Desire to see a data-driven project through all the way from initial research and experimentation, through model validation, to the More ❯

with GCP and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive More ❯

and security event correlation. The platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. This Graduate C++ Developer position presents an excellent opportunity to advance your career in a challenging environment More ❯

decisions through data-driven recommendations.Key Responsibilities: Lead the implementation and integration of new BI systems (e.g., Domo). Collect, analyse, and interpret complex data for strategic business improvements. Develop algorithms and models for machine learning and predictive analytics. Create, maintain, and improve BI databases and reporting dashboards. Provide analysis on products, pricing, and markets to identify trends. Collaborate with stakeholders More ❯

Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural More ❯

Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and Natural More ❯

world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other More ❯

best practices Debug and optimize existing systems for performance and reliability Work closely with stakeholders to understand requirements and deliver solutions Your Skills & Expertise Solid understanding of data structures, algorithms, and software design principles Good knowledge of Python and object-oriented programming principles Understanding of relational databases and database design fundamentals Familiarity with unit testing and integration testing practices Comfortable More ❯

or related field. 15+ years' industry experience , including 5+ years in system architecture within robotics or complex embedded systems. Strong knowledge of robotic system design - including kinematics, dynamics, control algorithms, perception systems, and simulation tools such as Gazebo or Simulink. Experience with hardware-software co-design, real-time computing, middleware, and system integration (including robotic arms, manipulators, embedded production systems More ❯

even footballers' legs. Ki's mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days.Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate More ❯

recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. More ❯

standards, mentor engineers, and collaborate across teams to deliver scalable features. Tackle challenges in performance, fault tolerance, and data-heavy workloads while influencing product strategy. Requirements: Strong foundations in algorithms, data structures, and distributed systems Experience building and operating large-scale backend systems Expertise in system and API design, scalability, and performance tuning Proficiency in a modern backend language (Java More ❯

engineering standards, mentor engineers, and collaborate across teams to deliver scalable features. Tackle challenges in performance, fault tolerance, and data-heavy workloads while influencing product strategy.Requirements: Strong foundations in algorithms, data structures, and distributed systems Experience building and operating large-scale backend systems Expertise in system and API design, scalability, and performance tuning Proficiency in a modern backend language (Java More ❯

processes and optimise software delivery Experience in creating and maintaining PowerShell scripts and programming languages Knowledge of or experience in Microsoft deployment technologies, with a familiarity with common hashing algorithms, including their benefits and drawbacks Strong analytical and problem-solving skills with attention to detail Excellent communication skills, with the ability to translate technical information to non-technical stakeholders as More ❯

Cross-Functional Collaboration: Work closely with marketing, product, and research teams to translate data insights into actionable strategies that enhance brand loyalty. Insight Generation: utilise advanced statistical methods and algorithms to uncover deep insights from consumer data, informing marketing effectiveness solutions. Technology Evolution: Stay ahead of industry trends, ensuring adoption and integration of the latest technologies and methodologies. What We More ❯

geography. WHAT YOU'LL DO * Lead a team of 3 (UK & US) across Data Science and Pricing* Own the full pricing product lifecycle - modelling, deployment, testing, optimisation* Improve existing algorithms and develop best practices for pricing across markets* Deploy models in collaboration with the Data Platform/Engineering teams* Work directly with senior commercial stakeholders to translate insights into action More ❯

to engineer high-quality software Appreciation of architecture and engineering best practices Experience of end-to-end ownership of solutions, from articulation through to delivery Good understanding of fundamental algorithms and data structures An interest in the quantitative finance and an understanding of the role engineering plays within the space The ability to prioritise, plan and deliver to demonstrably drive More ❯

Systematic Trading Strategies (STS) Group is a global team responsible for creating systematic quantitative strategies and indices for a wide range of clients. We develop sophisticated proprietary models and algorithms across different asset classes and geographical regions to ensure a powerful and consistent approach in designing and maintaining our strategies. Responsibilities Deliver direct commercial impact through developing and improving systematic More ❯

tasked with solving are: – How do we help families and nannies communicate better – How do we ensure we're making perfect family/nanny matches (like digital dating matching algorithms) – What's the best way to profoundly impact the well-being of all families We hope you'll agree, these aren't your run-of-the mill tech problems. About More ❯

industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry, and/or biophysics, with a clear understanding of molecular biology More ❯

recommender system. Designing and implementing AI/ML systems that scale gracefully. Applying and iterating on LLMs and data-driven approaches to improve recommendations. Rapidly experimenting with RAG, search algorithms, and agentic architectures. Debugging complex model behaviours and improving reliability and observability. Staying on top of the latest research and applying it pragmatically. Collaborating cross-functionally to make complex ideas More ❯

do it all right here at Sky. What you'll be doing Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. More ❯

Euros €) Relocation: VISA & Relocation Package Included Requirements A minimum of 6-8 years hands on experience in the IT sector. Proficient with object-oriented-programming (OOP) concepts. Proficient in algorithms and data structures. Proficient in relational databases. Experienced in asynchronous programming. Experienced of different software development lifecycles. Experienced as a full-stack developer with experience with (Frontend) and .NET Framework More ❯

and pay off technical debt. Triage and resolve product/system issues. Tech Stack: Golang, Typescript, Angular SQL, Relational & Non-relational databases Core Skills Required: Programming, Data Structures, and Algorithms Systems Thinking and SWE System Design Debugging and Test Engineering Apply today to define your technical impact! Randstad Technologies is acting as an Employment Business in relation to this vacancy. More ❯