76 to 100 of 212 Permanent Algorithms Jobs in London

will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

models for avatars using audio, video, and text cues. Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code more »

You will need: Strong C/C++ programming language skills SQL experience Knowledge of Capital Markets and/or Interest rates Working exposure to algorithms and data structures Computer Science or similar type degree Apply now for an immediate interview in what is promised to be a fluid and quyick more »

will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency in programming languages such as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). more »

span a range of analytics and more advanced data science projects, helping to win work in this space. Responsibilities: Build and maintain robust statistical algorithms and predictive models to support data analytics projects around customer, digital marketing and product performance. Pull data from various API's to bridge gaps in more »

business needs and objectives • Interpret trends and patterns • Conduct complex data analysis and report on results • Prepare data for prescriptive and predictive modelling • Build algorithms and prototypes • Combine raw information from different sources • Explore ways to enhance data quality and reliability • Identify opportunities for data acquisition • Develop analytical tools and more »

institute or trading environment. • Proficiency in programming languages such as Python, C++, Java, and ideally R. • Ability to design, implement, and refine complex trading algorithms that can process large volumes of data in real-time to make predictive trading decisions based on multiple variables. • Expertise in managing and manipulating large more »

new data sources and features for predictive modeling. Collaborate with traders and other researchers to integrate models into trading strategies. Optimize existing models and algorithms to improve performance and accuracy. Stay updated with the latest advancements in machine learning and financial research. Present research findings to team members and contribute more »

/full proficiency in C++; Some familiarity with Python Ability to architect and implement code to address high-level requirements Experience implementing high-performance algorithms & grid computations Master’s/PhD in computer science, applied mathematics, financial engineering, or an equivalent field from a top university Excellent communication and interpersonal more »

skills/experience - 1-2 years+ commercial experience with Python, Django, React or Rust experience Strong understanding of OO principles, design patterns, data structures & algorithms Bachelors or Masters Degree in Computer Science or very similar, ideally from a top University Personality and genuine passion in technology Elite bonus culture and more »

AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical device development. Develop predictive models and algorithms to identify innovative solutions, enhance existing designs, and predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to more »

Scala. Extensive experience with cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Solid understanding of machine learning concepts, algorithms, and frameworks. Preferred Qualifications: Experience in the insurtech or insurance industry. Certification in relevant technologies (e.g., AWS Certified DevOps Engineer – Professional, Certified Kubernetes Administrator). more »

building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions more »

machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to allow our trading team to adjust the odds while keeping a consistent pricing Research new approaches to optimize the performance of all models and more »

efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative AI solutions. As the Head of Architecture, you will more »

a specialization in analyzing behavioural data to deepen our understanding of customers. 🚀ROLE: Lead the development and implementation of advanced data science models and algorithms, utilizing clinical trial and survey data. Design and execute intricate data analyses to unveil pivotal patterns, trends, and insights. Collaborate closely with cross-functional teams more »

team, focusing on analyzing behavioural data to enhance our understanding of customers. ROLE: Spearhead the development and application of advanced data science models and algorithms, utilizing clinical trial and survey data. Plan and execute intricate data analyses to uncover significant patterns, trends, and insights. Work closely with cross-functional teams more »

AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities Help to put innovative, cutting-edge algorithms into production and monitor their effectiveness over time, optimising and iterating where needed Have some input into initial model design & development Help train and mentor more »

into actionable analytical tasks. Develop and implement advanced analytics techniques to extract meaningful insights and drive business value. Utilise statistical methods and machine learning algorithms to uncover patterns, trends, and opportunities within large datasets. Design and maintain dashboards, reports, and data visualizations to communicate findings effectively to stakeholders. Stay abreast more »

No politics, a close-knit team with great growth potential. You will work with a great reputable leader and learn tremendously. Requirements: Build trading algorithms FX, Credit, Futures, Bonds, commodities, experience Construct and manage a fundamentally driven, market-neutral portfolio of equities that can deliver consistent and absolute returns The more »

business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and more »

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 Technical Account Manager your role will be split between working more »

and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep learning framework. Please follow Algo Capital for the latest job updates - linkedin.com/company/algocapitalgroup more »

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 Software Engineer you will focus on enabling the core product more »