151 to 175 of 497 Algorithms Jobs in the UK

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

researching and prototyping new modelling, optimisation, AI, and simulation methods, then turning those ideas into robust, high quality software. The role involves designing algorithms and numerical techniques for complex scientific or engineering challenges, working across languages such as Python for research and C++ or C# for production, and collaborating closely ...

quantitative researchers. What you’ll be doing Build and optimise high-frequency, low-latency crypto trading systems Design and implement alpha generation and trading algorithms Implement exchange-specific market rules across major crypto venues Partner closely with traders and quants to develop research platforms and tooling What they’re looking ...

knowledge of real time systems and an understanding of autonomous systems. The Senior Software Engineer will be responsible for designing, implementing, and optimising autonomy algorithms and systems and should be comfortable handling complex workloads across R&D, prototyping, and mission-critical production deployments. It would be desirable to have experience ...

team. Responsibilities will include project developing simulation tools for the design of active and passive components. The role will involve the development of both algorithms and professional graphical interfaces to the algorithms. This is a very challenging role and you will need to be able to think creatively to solve ...

technologies such as 29West and multicast. Understanding of the FIX protocol and familiarity with time series databases such as KDB. Knowledge of lock-free algorithms, low latency tuning and threading techniques. Excellent problem-solving, analytical and communication skills, with the ability to work both independently and in a team. Sounds ...

time permanent basis. This is a hybrid role with occasional travel. Key duties will include but are not limited to: Assist with developing control algorithms to improve the performance of robotic systems. Work closely with the wider team to ensure quality across the full software lifecycle. Produce clear technical documentation ...

initiatives , driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall) • Optimising search algorithms to deliver fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ...

scale. The Role As the technical lead for Data & NLP, you will: Own and improve search performance (precision & recall) Optimise large-scale search algorithms for speed and relevance Design and implement agentic LLM workflows Build and maintain robust data pipelines Lead model development, training, and deployment Provide technical leadership across ...

Engineer – DSP job: Developing real-time embedded software in C/C++ for DSP-based applications Designing and implementing signal processing chains Prototyping DSP algorithms in MATLAB and translating them into optimised C code Writing low-level drivers for on-chip and board-level peripherals Bringing up and debugging prototype ...

driven campaigns. Startups & product innovation: Rapid prototyping for new digital products. Museums & events: Building experiential exhibits or immersive environments. AI and generative art: Using algorithms and data as tools of expression. Example Projects: Using AI to accelerate the SDLC Insurance: IoT data used to enable continuous underwriting and more accurate ...

developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

design, evaluation, and governance of advanced AI solutions Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls. Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective ...

world environments. Key responsibilities include: Designing and developing embedded and application-level software in C, C++ and/or Python Implementing control and motion algorithms for robotic arms, actuators, and sensor systems Working within Linux-based development environments and communication frameworks Integrating, testing, and validating software on physical robotic systems ...