1 to 25 of 114 Algorithms Jobs in Yorkshire

D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings, collaborating with cross-functional teams to design, implement, and optimize innovative solutions under … timelines. The role demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to address emerging intelligence issues, ensuring alignment with mission requirements. Create and … integrate computer programs, often for larger software systems, to support mission-critical applications. Design and optimize algorithms, conducting analysis, implementation, profiling, and experimental evaluation to ensure performance and scalability. Bridge the gap between algorithm theory and practical applications, translating complex requirements into robust software solutions. Collaborate with lab teams, mission stakeholders, and intelligence analysts to define requirements, prototype solutions, and More ❯

commercial people. BSc or a 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 like GPT-4 and Claude. More ❯

commercial people. BSc or a 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 like GPT-4 and Claude. More ❯

commercial people. BSc or a 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 like GPT-4 and Claude. More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

impact environment. The ideal candidate 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 content. Implement and refine AI More ❯

architect solutions that are structurally sound and align with best practices, ensuring robust integration with data-driven systems. Collaborate with various departments to integrate machine learning models and complex algorithms into business driven applications. Support and improve existing AI/Machine Learning solutions Take ownership of code quality, testing, and documentation to maintain high standards and continuous improvement across projects. … SQL, PostgreSQL, BigQuery, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Pytorch, to develop robust and scalable AI/ML solutions. Strong foundation in data structures, algorithms, and problem-solving, with a clear focus on efficiency and optimisation. Experience with architecting and implementing large-scale, distributed systems that handle significant data processing. Apply knowledge of Large Language More ❯

and tailor DSP tools and techniques to prosecute high-value targets, ensuring alignment with mission requirements and operational priorities. Analyze and process digital signals from diverse RF sources, developing algorithms and methods to enhance signal detection, collection, and exploitation. Collaborate with lab teams, mission stakeholders, and intelligence analysts in secure environments to define requirements, prototype solutions, and deliver actionable capabilities. … signals from overhead SIGINT and other RF sources. Strong experience tailoring DSP tools and techniques to prosecute high-value targets in support of mission operations. Proficiency in signal processing algorithms, including filtering, modulation, demodulation, and spectral analysis. Familiarity with RF collection systems, including overhead SIGINT platforms and related data formats. Experience with rapid-response R&D, including prototyping and testing More ❯

vehicle refurbishment. Now, this is where you fit in As the Data Science Manager for our Operations team, you will lead a team dedicated to developing advanced models and algorithms that enhance operational efficiency, optimise vehicle movements and drive vehicle refurbishment. Your work will directly contribute to driving profitability across the organization each year, playing a critical role in our … high standard using Python (PuLP, ortools, SciPy.optimize) or similar programming tool. Experience implementing optimisation methodologies including, Linear & Integer Programming (LP, ILP, MILP), Graph Theory and Network Optimisation, Scheduling & Search Algorithms and Simulation Approaches (Monte Carlo, Markov-Chain, Discrete Event Simulation, etc). Excellent team management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a More ❯

will work closely with data scientists, analysts, and other engineers to create intelligent systems that transform data into actionable insights. Key Responsibilities: Design, develop, and implement AI models and algorithms to solve complex business problems. Collaborate with cross-functional teams to integrate AI solutions into our BI platform. Conduct research and stay up-to-date with the latest AI trends More ❯

in software development What We’re Looking For: A recently completed degree in Computer Science, Software Engineering, or a related field Understanding of software development principles, data structures, and algorithms Experience with web development frameworks or tools (e.g. React, Node.js, Django) Enthusiasm for learning and building high-quality software Excellent communication and collaboration skills Full right to work in the More ❯

in software development What We’re Looking For: A recently completed degree in Computer Science, Software Engineering, or a related field Understanding of software development principles, data structures, and algorithms Experience with web development frameworks or tools (e.g. React, Node.js, Django) Enthusiasm for learning and building high-quality software Excellent communication and collaboration skills Full right to work in the More ❯

in software development What We’re Looking For: A recently completed degree in Computer Science, Software Engineering, or a related field Understanding of software development principles, data structures, and algorithms Experience with web development frameworks or tools (e.g. React, Node.js, Django) Enthusiasm for learning and building high-quality software Excellent communication and collaboration skills Full right to work in the More ❯

vehicles globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety of drivers and goods while reducing environmental impact , paving the way More ❯

part of this role, you will be responsible for - Build relationships with clients and take the lead on delivering AI solutions to benefit the business Design and develop AI algorithms and models Provide training to clients on the best practices of working with AI tools Implement AI models into client environments and monitor on-going performance, making changes where necessary More ❯

part of this role, you will be responsible for – Build relationships with clients and take the lead on delivering AI solutions to benefit the business Design and develop AI algorithms and models Provide training to clients on the best practices of working with AI tools Implement AI models into client environments and monitor on-going performance, making changes where necessary More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

with a range of clients to understand their business needs, design appropriate AI solutions, and ensure successful deployment and integration. This will involve designing and developing AI models and algorithms, conducting data analysis and pre-processing to prepare data sets for AI model training, and providing training and support to clients on AI tools and best practices. This role would More ❯

the professional game i.e. On and Off Ball Value, Scanning Metrics from Pose Data Lead the development and implementation of cutting-edge predictive models, machine learning and deep learning algorithms, and statistical techniques (e.g. Markov chain & Bayesian Inference). Enhanced feature development through biomechanical and physics-based modelling Provide leadership in designing and implementing robust R&D infrastructure, ensuring scalability More ❯

Principal Java Developer – Hybrid Working (Very flexible) – Scientific Sector REF 1042 A successful not-for-profit company and educational charity, with an enviable reputation for collaborative scientific development. They develop meaningful science and software that supports the delivery of life More ❯