26 to 50 of 344 Algorithms Jobs in the South East

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Architect robust data pipelines More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experiences: An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

a diverse knowledge base in radar engineering Your skills and experience: • An understanding of at least one of the following subject areas; signal processing, target track extraction, object classification algorithms, system, and sensor resource optimisation • An appreciation of factors that can affect the real-world performance of sensing systems and how these can impact the accuracy and timeliness of measurements More ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

Data Scientist - Marketing/Customer Analytics Reading – Hybrid (3x per week in office) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data Scientist to join their growing team. With More ❯

We are seeking a highly experienced and motivated Senior Systems Engineer to take on a key leadership role as Systems Design Authority for a major defence project. This is a rare opportunity to lead the delivery of a complex, multidisciplinary More ❯

We are seeking a highly experienced and motivated Senior Systems Engineer to take on a key leadership role as Systems Design Authority for a major defence project. This is a rare opportunity to lead the delivery of a complex, multidisciplinary More ❯

skilled Data Science professional to manage a variety of data science tasks. This role will involve utilising expertise in data science to derive MI and insights from data, develop algorithms, and build robust data-driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply … machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and data models into production environments, ensuring their reliability and scalability. Communicate findings and insights to both technical and non-technical stakeholders through reports, visualisations, and presentations. The … T-SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯