201 to 225 of 2,082 Algorithms Jobs in London

actuarial analysts to develop machine 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 and machine learning models using More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

Engineering, or a related field (Bachelor's, Master's or PhD) Solid programming and software design fundamentals Experience with relational databases and a strong grasp of data structures and algorithms An interest in full-stack development - from UI to infrastructure Excellent problem-solving and communication skills Curiosity, humility, and a passion for learning and technology Great knowledge of at least More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark. • Proficiency in data preprocessing, feature engineering, and model evaluation. • Knowledge of ML model More ❯

to understand data needs and communicate report results. Remain up to date with the latest technology, techniques and methods. Stay curious and enthusiastic about exploring new risk modelling concepts, algorithms and data exploration methods to solve problems and enthuse others to see the benefit of your work. Essential Experience & Job Requirements Prior experience in financial risk management in a quantitative More ❯

technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. · Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploymachine learning models and algorithms aimed at addressing specific business challenges and opportunities. · Coach and mentor the team (including contractors) to improve development standards. · Work with Business Analysts to deliver against requirements and realise business More ❯

that have a real impact on the world. For example, our AI systems help to manage the water supply for the entire city of London. We created the AI algorithms that enabled the 7th largest telecommunications company in the world to plan its network in 300 cities in record time. And we built a digital healthcare system that enables 30m More ❯

break work down into smallest unit possible. Drive team to be a high-performance team. Data Plan, Design, and Implement scalable data pipelines. Develop and implement data models and algorithms to support data science and machine learning initiatives. Optimize data storage and retrieval systems for maximum performance. Continuously monitor and improve the performance of the data solutions to meet our More ❯

please apply! BASIC QUALIFICATIONS - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 2+ years of building machine learning models or developing algorithms for business application experience - Experience programming in Java, C++, Python or related language - Experience applying theoretical models in an applied environment - Experience in patents or publications at top-tier peer More ❯

transform, and serve large volumes of multilingual, multi-format open-source data. Model data for humans & machines. Draft schemas across SQL, NoSQL, graph, and search systems so analysts and algorithms can both fly. Innovate. Evaluate and integrate LLM and other AI‐based solutions to improve data extraction and analysis across Kharon’s products. Partner with the doers. Sit with product More ❯

management, and capacity planning Basic Qualifications 3 years or more of relevant work experience Proficiency in one of the following: Python, C, C++, Java, or shell scripting Aptitude for algorithms, data structures, and software design Experience with Linux operating system internals and/or networking concepts Strong analytical skills, with an ability to quickly identify scope and impact of issues More ❯

including Spring Boot Proficient in writing maintainable code in multiple languages such as HTML, Java, and JavaScript/TypeScript, with a solid understanding of data structures, design patterns, and algorithms Experience with public cloud technologies, as well as a passion for automation and familiarity with CI/CD tools like GitLab Strong practitioner of DevOps practices, utilizing relevant tooling to More ❯

analytics. Understand business requirements and support the development of business cases. Run discovery analytics to identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex More ❯

data sets.You willbe responsible for leading thedevelopmentand maintenance ofthe user interface and functionality of the tool using R Shiny, ensuring a smooth and intuitive user experience. Much of the algorithms involve programming in R. We envisage that Python will also be used in the future. What Will You Be Doing Developing and maintaining user interfaces, visualizations, dashboards, and analyses for More ❯

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build More ❯

the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. By the end of More ❯

Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex More ❯

QuantSpark Work That Matters: Lead high-impact analytics projects across diverse sectors-from building predictive models that help private equity firms identify value creation opportunities to creating inventory optimisation algorithms for household-name retailers.Tackle Exciting Challenges: Design and implement technically sophisticated solutions such as real-time analytics platforms for FTSE 100 companies, automated risk assessment systems for asset managers, and More ❯

people and technical strategy. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization (, Docker, Kubernetes, AWS EKS) and More ❯

datasets and extract actionable insights. Experience with machine learning and deep learning frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). Skilled in building credible statistical models. Knowledge of various learning algorithms (supervised, unsupervised, reinforcement). Experience with MLOps practices. Demonstrable experience building visualisations and dashboards in Tableau. An understanding of data management principles in cloud-based technologies. Appreciation of full analytics More ❯

in fraud, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

software development good practices and collaboration tools, including git-based version control, python package management, and code reviews. Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders. Experience working with cloud environments and tools, such as Amazon AWS S3, EC2, etc Evidence of related work experience as a researcher in More ❯