51 to 75 of 272 Algorithms Jobs in the UK

real-time. Your Profile: Minimum of one year experience developing in Rust; will be tested. Familiarity with core trading strategies (e.g., market-making, arbitrage, execution). Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing. Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/ More ❯

real-time. Your Profile: Minimum of one year experience developing in Rust; will be tested. Familiarity with core trading strategies (e.g., market-making, arbitrage, execution). Strong understanding of algorithms and data structures, as well as quant finance concepts: limit-order books, market microstructure, pricing. Experience with real-time data processing, IPC/shared-memory architectures, and low-allocation/ More ❯

software engineering leadership role Excellent written/oral communication skills; Ability to communicate with different audience levels ranging from new engineers to senior customers Knowledge of data structures and algorithms , systems software design , operating systems , architectures, software development life cycle and processes as they relate to real-time software development Experience with C/C++ and Object-oriented software design More ❯

competitive, with generous housing and participation allowances for any agreed on-site involvement. Key Responsibilities • Conduct applied research on LLMs, multimodal models, and multi-agent architectures. • Develop efficient, robust algorithms for reasoning, prediction, and optimization. • Build experimentation frameworks for alignment, evaluation, and human/AI feedback loops. • Design training pipelines for small- and large-scale model development. • Collaborate with engineering More ❯

competitive, with generous housing and participation allowances for any agreed on-site involvement. Key Responsibilities • Conduct applied research on LLMs, multimodal models, and multi-agent architectures. • Develop efficient, robust algorithms for reasoning, prediction, and optimization. • Build experimentation frameworks for alignment, evaluation, and human/AI feedback loops. • Design training pipelines for small- and large-scale model development. • Collaborate with engineering More ❯

cost optimisation. Key Responsibilities Deliver the product vision, strategy, and roadmap for fleet management and leasing SaaS solutions. Lead the development of AI-powered features including predictive maintenance, optimisation algorithms, and driver behaviour analytics. Collaborate with engineering, customers, and other internal teams to design and deliver scalable modern SaaS products. Translate customer and industry insights into product requirements and work More ❯

fusion capabilities and add new features in a structured and maintainable manner under direction of product owner (Head of Digital Systems). Research, Architect, Design and Test Sensor Fusion algorithms using Mathworks products. Technically lead the software development for Sensor Fusion activities to deliver new features and capabilities to our Autonomy and UAV systems. Ensure the Sensor Fusion software considers More ❯

XML, DHTML, CSS/CSS3, SASS, LESS, JavaScript, React JS, Redux, Flex, jQuery, JSON, Bootstrap. Strong proficiency in JavaScript fundamentals, including object models, DOM manipulation, event handling, data structures, algorithms, and JSX. Current experience with ReactJS workflows such as Flux, Redux, Create React App, and data structure libraries. Solid understanding of RESTful APIs and token-based authentication (e.g., JWT). More ❯

data managers and business partners. You will be part of a team whos responsibilities include: Building scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocate for data science and best practices (e.g. technical design More ❯

AI workflows , including copilots, autonomous AI agents, and MCP-based systems. Build, train, fine-tune, and evaluate AIML models for automation use cases. Develop Python-based data pipelines and algorithms using NLTK, NumPy, Scikit-learn, Pandas. Collaborate with cross-functional teams in an Agile setup (sprint planning, refinement, retrospectives). Integrate solutions with test automation frameworks and CI/CD More ❯

Control Engineer on a full-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 covering system requirements. Contribute to More ❯

Control Engineer on a full-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 covering system requirements. Contribute to More ❯

Design and develop embedded software and firmware from concept through to release Program ARM-based microcontrollers and FPGA systems (VHDL/Verilog) Implement real-time systems and signal processing algorithms Work closely with hardware teams to optimise system integration and performance Support testing, validation, and documentation throughout the development cycle About You Proven experience in embedded C/C++ development More ❯

and mathematical or signal-processing 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 test instruments. Contribute to architecture More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. • Development of processing and analysis algorithms fit for the intended data complexity and volumes. • Collaboration with data scientist to build and deploy machine learning models. Hands-on Skills: Data Engineering Coding background and Hands on experience More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. • Development of processing and analysis algorithms fit for the intended data complexity and volumes. • Collaboration with data scientist to build and deploy machine learning models. Hands-on Skills: Data Engineering Coding background and Hands on experience More ❯

Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. • Development of processing and analysis algorithms fit for the intended data complexity and volumes. • Collaboration with data scientist to build and deploy machine learning models. Hands-on Skills: Data Engineering Coding background and Hands on experience More ❯

next generation of tech leaders, 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-world applications of computer science. More ❯

next generation of tech leaders, 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-world applications of computer science. More ❯

including distributed training, data preprocessing, and model deployment workflows. Develop research tooling and infrastructure that accelerates iteration across simulation, experiment, and AI-driven reasoning. Implement and evaluate new ML algorithms while working closely with scientists and research teams to prototype and test ideas. Optimize performance, reliability, and reproducibility across HPC clusters, cloud systems, and experiment interfaces. Contribute to data management More ❯

including distributed training, data preprocessing, and model deployment workflows. Develop research tooling and infrastructure that accelerates iteration across simulation, experiment, and AI-driven reasoning. Implement and evaluate new ML algorithms while working closely with scientists and research teams to prototype and test ideas. Optimize performance, reliability, and reproducibility across HPC clusters, cloud systems, and experiment interfaces. Contribute to data management More ❯

Proven experience designing, training, and 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-on experience with LLMs and Natural More ❯

techniques. Leading to define requirements and 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 to use statistical tools and processes More ❯

Proven experience designing, training, and 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-on experience with LLMs and Natural More ❯

world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football analysts, coaches, and other More ❯