1 to 25 of 333 Algorithms Jobs in Berkshire

data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up-to-date with the More ❯

that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. Key Responsibilities: Develop and deploy machine learning models and algorithms to address complex business challenges. Translate intricate business problems into technical solutions. Write clean, modular, and scalable code suitable for production environments. Lead data mining More ❯

MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models More ❯

upon to create models that are robust and do not suffer from issues such as data leakage etc. Have knowledge of advanced machine learning algorithms such as random forests, gradient boosting, and support vector machines Experience in feature engineering and selection techniques Understanding of model evaluation metrics and cross-validation More ❯

upsell conversions, and client retention. Contribute to machine learning models for guest segmentation, attendance prediction, and personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency More ❯

API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine 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 More ❯

API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine 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 More ❯

mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation More ❯

equivalent OO/Functional language experience) Degree in Computer Science, Physics, Engineering, Mathematics or similar Experience with high-availability financial systems Solid understanding of algorithms, data structures, and design patterns Knowledge of messaging middleware and TCP/IP networking Front office trading experience (FX/Fixed Income/Derivatives preferred More ❯

brilliant minds to create and launch game-changing software that powers our systematic FX trading strategies. Your work will blend cutting-edge tech, complex algorithms, and real-time data to redefine the future of trading. Your Mission Architect, develop, and deploy sophisticated software solutions that supercharge automated trading systems Work More ❯

methodologies (XP, SCRUM, Kanban) and continuous integration. A degree in Computer Science, Physics, Engineering, or Mathematics. Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns. Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems. Strong communication skills and ability to collaborate More ❯

with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with More ❯

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 More ❯

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 More ❯

of power system engineering and some appreciation of the GB network is essential. Expertise in Pandas, Numpy, Scipy, ML libraries, matrix manipulation, Networkx scientific algorithms, and Pyomo. Expert knowledge in data management and visualization techniques in Python is desirable. Version Control using git is essential. Experience using MS VBA scripting More ❯

understanding, event detection Security incident generation and alert escalation What we’re looking for Ability to investigate, debug, and select the correct machine learning algorithms or AI approach depending on the features criteria and functionality. Between 2 and 5 years of commercial or equivalent experience in a software development role More ❯

ensure they align with our strategic direction towards sustainable energy solutions. AI & Machine Learning Implementation: Design, build and deploy AI/ML models and algorithms to extract insights from energy data, optimize systems, and create intelligent features that enhance customer experience and operational efficiency. Full-Stack Development: Architect and develop More ❯

AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront More ❯

continuously push the boundaries of what's possible Job Responsibilities Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms Develops and test hypotheses, analyses and interprets the results of product experiments Communicates data-driven insights and delivers action plans that steer business strategy and More ❯

AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront More ❯

AI projects with real-world applications Collaborate with a team of elite scientists and engineers Contribute to the development of cutting-edge models and algorithms Help shape the future of AI in a fast-paced, intellectually stimulating environment Why Join? Be part of a world-class team at the forefront More ❯

end-to-end development of AI features and projects. Build proof-of-concepts using Deep Learning and traditional Data Science approaches. Develop and optimize algorithms for real-world applications. Work in a diverse, collaborative environment while ensuring compliance with QHSE and governance policies. Discover the Requirements Bachelor’s degree in More ❯

Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps More ❯

in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures, algorithms, and software architecture for building robust, scalable systems. Experience working in a Linux environment, including scripting and automation. Bachelor’s, Master’s, or PhD in More ❯

in the high-frequency trading (HFT) industry, with a deep understanding of the unique challenges and requirements of this fast-paced environment. Expertise in algorithms and data structures, with the ability to design and implement complex solutions to optimise performance and efficiency. Excellent problem-solving skills, with a track record More ❯