1 to 25 of 278 Permanent Algorithms Jobs in the UK excluding London

Science, AI or equivalent (or imminent graduation) Solid programming skills (e.g. Python, R, Java, C++ or other modern language) Familiarity (or strong interest) in machine learning, data analytics, modelling, algorithms, or statistical methods Demonstrable experience via projects, coursework or side projects in data science, ML, optimisation or algorithmic work Strong problem-solving mindset, ability to translate complex domain challenges into More ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and More ❯

GPT, BERT, LLaMA2) and knowledge graphs to enhance natural language understanding and reasoning. Conducting exploratory data analysis and developing robust pre-processing strategies for unstructured text. Evaluating NLP models, algorithms, and architectures to recommend optimal solutions. Communicating insights through reports, visualizations, and presentations for both technical and non-technical audiences. Mentoring junior team members and staying current with advances in More ❯

Network (NTN) solutions which are transforming the way we connect and communicate. Job Responsibilities Participate in design and develop 5G/6G TN/NTN and AI signal processing algorithms for communications systems, physical layer software and protocol stack software. Participate in 5G radio equipment and user terminals physical layer solution verification, end-to-end testing, network deployment and field More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

requirements shape the practical aspects of PDK development Job Qualifications: BSc Hons (2:1), MSc or higher in computer science, engineering or related field Strong understanding of data structures, algorithms and databases Demonstrated proficiency in modern C++, debugging, and general software development skills Nice to have: Scripting language skills in one of: Lisp, Skill, Python, TCL Interest in digital or More ❯

knowledge of modern software engineering best practices across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Graduate Software Engineer/Developer More ❯

software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence What's in it for you: As a Software Developer/Engineer you More ❯

Science, Maths, Engineering, Geology or Computing to apply.We're looking for 5+ years hands-on experience using C++, ideally with the Qt framework and Multithreading, extending to Data Structures, Algorithms and alike.The key desirable skill is C#/WPF/MVVM development working with GUI's, along with Continuous Integration experience.GPU Development would be beneficial, as would 2D/3D More ❯

infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness. Mine a big data of hundreds of millions of customers and more than 600M daily user generated events More ❯

data from various sources, transform it into the desired format, and load it into the appropriate data storage systems Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance Integrates data from different sources, including databases, data warehouses, APIs, and external systems Ensures data consistency and integrity during the integration process, performing data … and augmentation of human performance Works with board members and other executives to establish the vision for managing data as a business asset Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making Skills and Experience Required A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. There s plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. There’s plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us More ❯

Python, 3D graphics (WebGL/OpenGL) experience all nice to have but not essential Expect to work across a diverse technical landscape. You might contribute to platform architecture, data algorithms, advanced visualisations, cloud or UI. Theres plenty of room to stretch your skills - and plenty of fascinating challenges. Apply today for this hybrid role in Bristol and help us push More ❯

to ensure seamless integration and reliable performance. Responsibilities Design, implement, and optimize embedded software for AI/edge applications. Collaborate with hardware and AI teams to integrate models and algorithms onto embedded platforms. Develop and maintain software documentation, including specifications and test plans. Support debugging, profiling, and performance optimization of embedded systems. Contribute to validation and deployment processes for real More ❯

to ensure seamless integration and reliable performance. Responsibilities Design, implement, and optimize embedded software for AI/edge applications. Collaborate with hardware and AI teams to integrate models and algorithms onto embedded platforms. Develop and maintain software documentation, including specifications and test plans. Support debugging, profiling, and performance optimization of embedded systems. Contribute to validation and deployment processes for real More ❯

to ensure seamless integration and reliable performance. Responsibilities Design, implement, and optimize embedded software for AI/edge applications. Collaborate with hardware and AI teams to integrate models and algorithms onto embedded platforms. Develop and maintain software documentation, including specifications and test plans. Support debugging, profiling, and performance optimization of embedded systems. Contribute to validation and deployment processes for real More ❯

next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system More ❯

next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯