101 to 125 of 449 Algorithms Jobs in the UK

skills to real-world challenges. What youll do Develop signal-analysis and measurement software in modern C++ on Windows/Linux. Implement and optimise algorithms for real-time data and signal processing (FFT, filtering, modulation, etc.). Collaborate with DSP, RF, and hardware teams to integrate your code with advanced

this could be the role for you. Key Responsibilities: Plan, deliver, and assess engaging Computer Science up to KS5. Teach key concepts including programming, algorithms, data structures, cybersecurity, and computational thinking. Foster a creative and inclusive classroom environment where students feel confident exploring technology. Prepare students for examinations and real

this could be the role for you. Key Responsibilities: Plan, deliver, and assess engaging Computer Science up to KS5. Teach key concepts including programming, algorithms, data structures, cybersecurity, and computational thinking. Foster a creative and inclusive classroom environment where students feel confident exploring technology. Prepare students for examinations and real

/ML functionality into intuitive, high-performance features integrated directly into our flagship product suite. You will be the crucial link between complex algorithms and the end-user. Key Contributions You'll Make: Front-End expertise: Design, develop, and own the user interfaces for brand-new AI features, utilizing modern

latest research and industry advancements to introduce new ideas, techniques, and approaches Who You Are An experienced Machine Learning Scientist with strong foundations in algorithms, data structures, or statistical modelling Proficient in Python, with hands-on experience deploying models into production environments Comfortable maintaining ML infrastructure, including deployment pipelines, monitoring

deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands

scope of data analyses; presenting and reporting possible business insights to management using data visualization technologies. Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability

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. Your role: As a Security Operations Engineer/DevSecOps you will play

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. Your role: As a Security Operations Engineer/DevSecOpsyou will play

industry experience , including 5+ years in system architecture within robotics or complex embedded systems. Strong knowledge of robotic system design - including kinematics, dynamics, control algorithms, perception systems, and simulation tools such as Gazebo or Simulink. Experience with hardware-software co-design, real-time computing, middleware, and system integration (including robotic

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities

Machine Learning Experience: Specifically in parameter-free learning approaches, Bayesian methods and belief networks, reinforcement learning and graph neural networks, computational optimisation at scale, algorithms and data structures. Quantum Information Theory Experience working with stochastic data Who Thrives Here You work fast in loosely defined environments. Competing priorities