1 to 25 of 385 Algorithms Jobs in England

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

Overview Complexio's Foundational AI works to automate business activities by ingesting whole company data - both structured and unstructured - and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently. Complexio is a joint venture between Hafnia and Símbolo More ❯

efficiently to meet operational and analytical needs. Advanced Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems More ❯

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 ❯

significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. Experience working in Azure/Microsoft environments is considered More ❯

drive continuous improvement.Desirable Extensive experience of developing complex modelling applications in an underwriting environment Working knowledge and experience of Python - developing applications for pricing and modelling to implement pricing algorithms; Cloud development + Familiarity with Docker and Kubernetes. + Proficiency in AWS or Azure; Knowledge of design patterns and able to implement where appropriate; Working knowledge of software delivery and More ❯

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from 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 ❯

compute platforms (e.g. novel ASICs, or Quantum Computers). Lead research and development into novel scientific workflow technologies (such as cloud-aware workflow schedulers, scientific data management solutions, quantum algorithms, etc) Develop APIs, services, and data interfaces that enable interoperability between systems and research platforms. Requirements Essential Knowledge, Skills and Experience: Bachelor's or Master's degree in Computer Science 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 ❯

and analysis to uncover opportunities for scaling automation and optimization for programmatic marketing channels such as Display and social platforms. Stay informed about industry trends and updates in DSP algorithms to continuously refine and adapt strategies. Assess and address performance opportunities within the product. Gather feedback from peer analyst teams and provide training on new features and algorithms. Execute AB More ❯

remotely. What will you be doing? Design, develop, and maintain robust, well-structured, and well-documented Python-based analytics and optimization modules for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Ensure high code quality through thorough unit and integration 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 ❯

software development within a fast-paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are 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 ❯

security tools, processes, and controls (e.g., web apps, APIs, CI/CD integrations) Strong communication skills for advising and educating engineers on secure coding and remediation Knowledge of common algorithms and data structures for dealing with large quantities of data (e.g., building data-intensive systems) Experience analysing large datasets for security monitoring, detection, or incident response As part of this More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas 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 ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

learn. Experience with cloud services for mode training and deployment. Machine Learning Fundamentals Statistical concepts for robust data analysis. Linear algebra principles for modelling and optimisation. Calculus for optimising algorithms and models. Predictive modelling techniques for regression and classification. Time series analysis for handling time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large 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 ❯