1 to 25 of 228 Algorithms Jobs in the UK excluding London

lieu. Apply statistical methods to analyse customer data and be able to report that analysis to co workers, customers, and project leads. Identify opportunities to apply, design and build algorithms to transform and interrogate data. Visualise and communicate data and model and algorithm outputs for audiences of different levels of understanding. Use data science techniques, including ML/AI, to More ❯

Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary focus on audio and speech processing. Lead the development of robust and scalable software solutions for deployment on flagship mobile devices. Independently own and deliver More ❯

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. The Senior More ❯

visible impact. Please click here to view the full job description Essential Skills & Experience: Strong fundamentals in statistics, probability, mathematical modeling, and computational thinking. Deep understanding of machine learning algorithms, optimization, architectures, and evaluation. Experience with data engineering workflows, including ETL, pipeline design, and feature extraction. Proficiency in Python and libraries such as PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain More ❯

Required Qualifications · Associate degree in Computer Science, Engineering, or related field. · 7+ years in software/infrastructure engineering with observability/logging focus. · Strong foundation in operating systems, networking, algorithms, and distributed systems. · Expertise in: o Programming (eg. Python, .Net, Java, Go, ) o System architecture and AI Ops o CI/CD (eg. GitHub Actions, Azure DevOps) o Infrastructure as More ❯

expertise to transform complex agricultural and earth observation data into actionable insights that drive innovation in Syngenta's Computational Agronomy Department. This role will develop cutting-edge models and algorithms that enable data-informed agricultural decision-making, supporting Syngenta's mission to improve global food security and sustainable farming practices. Working within cross-functional teams, the Geospatial Data Scientist will More ❯

solve complex challenges, and deliver impactful solutions that build tomorrows worldtoday. Job Description Join our team to help deliver fast-paced, high-impact Defence software solutions that translate complex algorithms into operational capabilities. Youll work closely with algorithm engineers to integrate mathematical and software models into production-ready, reliable, and maintainable systems. This is a unique opportunity to apply your More ❯

such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. More ❯

with the team. Requirements Proven experience as a Solutions Architect or in a similar role with a strong focus on AI and machine learning. Solid understanding of machine learning algorithms, data structures, and statistical modelling. Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong programming skills in languages such as Python, Java, or Scala. Strong More ❯

offices or a client location) for collaboration sessions, customer meetings, and internal workshops. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience More ❯

drive business impact. Responsibilities - Analyse large, complex datasets to identify trends, patterns, and opportunities for Client’s products and business operations.- Develop and implement statistical models and machine learning algorithms to solve business problems.- Communicate findings and recommendations to stakeholders in a clear and concise manner.- Collaborate with engineering, product, and business teams to design and execute data-driven strategies. 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 ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using 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 Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes More ❯

quantitative expertise to train, evaluate, and refine cutting-edge AI models for real-world, high-speed market applications. Responsibilities Collaborate with AI researchers to design, train, and validate trading algorithms and quantitative models, including high-frequency trading strategies. Apply advanced mathematical, statistical, and computational methods to improve model stability, execution accuracy, latency performance, and market adaptability. Evaluate and refine algorithmic More ❯

state-of-the-art predictive models (e.g. Two-Tower, Recurrent Neural Networks, XGBRanker) that drive the internal Ad ranking and assignment algorithms. Optimise Feedback Loops: Increase responsiveness of ad algorithms to real-world events and outcomes in the pursuit of real-time decisioning. Lead Technical Strategy: Proactively lead the design, development, and deployment of data science solutions. Production Excellence: Write More ❯

preferably Git. Proficiency in Docker and container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage project timelines. Exceptional problem More ❯

practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g., Snowflake, Databricks), cloud-based technologies, data mesh architectures, and big data ecosystems. Experience with More ❯

programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver More ❯

programming, coupled with an innate curiosity and drive to tackle complex challenges.Reporting to the Head of AI Lab, you will be primarily responsible for developing and enhancing machine learning algorithms across various projects, including document processing, satellite imagery analysis, and Large Language Models (LLM). You'll collaborate closely with experienced engineers and data scientists to address complex challenges, deliver More ❯

work with; Kafka, Postgres, storage buckets, REST, etc. Experience with GCP Bigquery or Elastic Search is a differential Good understanding of architecture and cloud native principles Good grasp of algorithms and data structures Practitioner of the test driven development approach Experience working with container environments in particular Docker, Kubernetes and Helm (e.g. GKE, AKS, EKS), ideally GKE Familiar with automating More ❯

proactively share findings with the team. About you We're looking for candidates with the following knowledge, experience and capabilities: Computer science fundamentals: a clear understanding of data structures, algorithms, software design, design patterns and core programming concepts. Experience with the core Python data stack (Pandas, NumPy, Scikit-learn, etc) developed in a commercial setting, an appreciation of pipeline orchestration More ❯

field which MUST incorporate a placement year (i.e. sandwich course). Demonstrable experience with programming languages such as Python, Java, Scala, or R. Understanding of data flows, data structures, algorithms, data engineering principles, and business intelligence (BI) systems. Ability to work independently and as part of a team. Strong problem-solving and communication skills Interest in weather and climate science. More ❯

training providers are fully covered Join us as an Algorithm Engineering Apprentice where you'll have the opportunity to enhance your skills in designing the signal processing and AI algorithms that power the world's leading sonar systems. You will collaborate with a diverse team of experts to create complex systems for our customers. This role promises an exciting journey More ❯