51 to 75 of 649 Algorithms Jobs in the UK

microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software ...

statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to identify patterns, opportunities, and business questions. Design, develop, and evaluate predictive models and algorithms to maximise value extraction from high‐dimensional data. Build prototypes and contribute to product enhancement through data-driven experimentation. Experimentation & Insight Generation Generate and test ...

performance tuning. Experience designing and operating distributed systems (microservices, event-driven architectures, messaging/streaming). Strong understanding of computer science fundamentals (data structures, algorithms, concurrency, networking, OS). Proven experience in e-trading or real-time financial systems (FX highly desirable), including familiarity with market data, order flows ...

will deliver and support modules in the Computing related disciplines some of these are as follows: Advanced Programming in C# Data Structures and Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python ...

will deliver and support modules in the Computing related disciplines some of these are as follows: Advanced Programming in C# Data Structures and Algorithms in Java Databases using SQL Advanced Databases and Big Data using Python Web Design Programming using ASP .Net Core Cloud Computing Applied Machine Learning using Python ...

collaborate closely with data engineering Communicate AI strategy and risk to senior stakeholders 🛠 Technical Environment Core Data Science Advanced Python & SQL Statistical modelling & ML algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch ...

TensorFlow, PyTorch). Have an established track record of delivering ML solutions to customers and internal stakeholders. Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. ...

learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic and treatment algorithms in respiratory critical care.Fellows will receive close supervision from senior mentors throughout the fellowship. They are expected to present their work within the department ...

Management System components Build high‐performance, multi‐threaded backend services that support real‐time flight planning and air traffic control integration Implement and optimise algorithms for fuel‐efficiency, route calculations, and aircraft performance modelling Develop Angular UI components for operational tooling, visualisation and configuration layers Collaborate with architects, engineers ...

degree in Data Science, Statistics, Computer Science, or a related field. Familiarity with programming languages, particularly Python. Basic understanding of machine learning algorithms and data analysis techniques. Proficiency in data visualization tools (e.g., Tableau, Power BI). Strong analytical skills and attention to detail. Excellent communication skills and the ability ...

maintain proper version control with Git. Required Experience & Skills 5+ years of experience designing and implementing production-ready ML solutions. Strong expertise in ML algorithms, model development, training, validation, and optimization. Proven experience deploying and maintaining production ML models. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps ...

maintain proper version control with Git. Required Experience & Skills 5+ years of experience designing and implementing production-ready ML solutions. Strong expertise in ML algorithms, model development, training, validation, and optimization. Proven experience deploying and maintaining production ML models. Hands-on experience with cloud platforms (AWS, Azure, GCP) and MLOps ...

maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure on GCP and Azure to support data processing, storage, and model deployment. Design RESTful APIs ...

Oracle) You're comfortable with JavaScript/React You have a thorough knowledge of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms You are collaborative with excellent communication and stakeholder management skills You are degree educated in Computer Science or similar technical discipline What ...

clear mandate to ship measurable AI outcomes across both customer-facing and internal operational use cases. For example, app-based agents and optimization algorithms for physical spaces (maintenance, costs, customer experience). As an AI Engineer, you’ll build and deploy end-to-end AI solutions across the company, working ...

long-term pricing strategy. Develop and implement pricing models using GLMs, machine learning and optimisation techniques. Manage rate changes and implementation of new pricing algorithms to drive performance. Deliver actionable insights and recommendations that balance customer satisfaction with profitability. Partner with stakeholders across the business to solve key commercial questions ...

microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software ...

projects. Essential Skills & Experience: Proficiency in C++ and object-oriented programming. Strong debugging, fault isolation, and problem-solving abilities. Knowledge of data structures, algorithms, and software design patterns. Experience with code configuration management systems (e.g., Subversion). Understanding of network programming, data serialization, and database design/administration. Front ...

Learning in one or more of the following domains: Speech or video processing Natural Language Processing (NLP) Action planning Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying ...

skills include experience of C# and Python and being familiar to Agile software development principles and patterns and Scientific or Mathematical programming - Data Analysis Algorithms, statistics, etc. Also highly advantageous would be Instrumentation knowledge – scientific/medical, hardware interfacing, data acquisition, e.g., USB devices, sensors, motor control, and electronics ...

This works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio ...

interest in artificial intelligence, data science, or software development Basic understanding of programming (Python preferred) Familiarity with concepts such as data analysis, statistics, or algorithms (academic or self-taught is fine) Willingness to learn, ask questions, and take feedback Good communication and teamwork skills Training Level 4 Artificial intelligence ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

Learning in one or more of the following domains: Speech or video processing Natural Language Processing (NLP) Action planning Strong foundation in data structures, algorithms, and neural network architectures. Proficiency with ML frameworks such as PyTorch. A good fit for this role may have A passion for learning and staying ...