176 to 200 of 460 Algorithms Jobs in England

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare datasets for AI model training, and providing training and support to clients on AI tools and best practices. This role would be 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 ❯

standards, ensuring that all technology and AI change initiatives adhere to these requirements. Oversee the ethical implementation of AI, ensuring that concerns regarding bias, fairness, and transparency in AI algorithms and decision-making are appropriately addressed. Provide regular reports and updates to senior management and relevant stakeholders regarding technology risk management activities, including identified risks and mitigation strategies. Maintain relationships More ❯

solutions, including Snowflake. Understanding of personalization for various domains, including sports betting and gaming, where it might add value and what best practices look like. Full understanding of recommendation algorithms and their applications. Professional experience in personalization and/or predictive CRM, and micro-segmentation. Experience with CI/CD pipelines and Infrastructure as Code (IaC) tools (Terraform, Bicep, etc. More ❯

years of product management or relevant experience in an enterprise setting Bachelors degree in a related field of study; and/or equitable work experience Experience launching performance optimization algorithms while managing opportunity costs. Highly truth-seeking and effective in selecting of north star KPIs, assessing authenticity of analyses, and testing rationale of data narratives to surface effective next-steps. 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 ❯

Experience building and deploying AI solutions at scale, ideally within a healthcare setting. Experience translating strategic business objectives into a strategic technical vision. Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of More ❯

Experience building and deploying AI solutions at scale, ideally within a healthcare setting. Experience translating strategic business objectives into a strategic technical vision. Knowledge Deep understanding of machine learning algorithms, techniques, and best practices within healthcare. This includes familiarity with a range of ML approaches (supervised/unsupervised learning, deep learning, etc.) and their applications in healthcare. Maintains knowledge of More ❯

/ML applications and collaborate with our back-end team to integrate seamlessly into the platform. Experimentation & Research: stay current with the latest AI/ML techniques, test new algorithms and tools, and improve upon existing approaches. Collaboration: work closely with product, data, and engineering teams to deliver high-impact, customer-facing features. What you'll bring 2-5 years More ❯

foundation development. Responsibilities Build and scale high-throughput data infrastructure optimized for video and multimodal content processing across large GPU clusters (e.g., H100/H200). Design core preprocessing algorithms for video, audio, text, and image modalities, enabling efficient extraction, synchronization, and normalization of temporal data. Build automated acquisition pipelines for sourcing large-scale video datasets, handling diverse formats, frame More ❯

think deeply about a business problem and devise a well-thought-out and pragmatic algorithmic solution. And you get satisfaction from working with non-technical stakeholders and seeing your algorithms shipped and driving measurable impact to the business. Requirements 3+ years' experience as a ML Engineer or Data Scientist Ability to produce accurate forecasts across multiple business domains accounting for More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet More ❯

is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet More ❯

leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python More ❯

leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python More ❯

science/engineering or 5+ years of equivalent experience in related disciplines o Hands on Application development experience within JavaCard/HCE domain. (MUST) o Working experience with cryptographic algorithms like 3DES, AES, RSA, ECC etc. (MUST) o Deep understanding of Global Platform card content management and key management processes (MUST) o Knowledge of EMV Common Personalization Specification and processes. More ❯

system reliability. Requirements: 3+ years building high-performance trading systems, ideally in systematic equities. Strong coding skills in C++ or C#, with Python for research integration. Deep understanding of algorithms, databases, and distributed systems. Experience with market data handling, exchange connectivity, and real-time systems. Excellent communication and problem-solving skills. This is a unique opportunity to take ownership of More ❯