1 to 25 of 175 Algorithms Jobs in Scotland

preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and ETL pipelines Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary Our Values Act Like an Owner - Think and operate More ❯

software analysis and testing methodologies. Prepare professional reports and briefings All other duties assigned Qualifications Certifications: Security+ (or other Security focused certification) Strong understanding of Computer Science fundamentals (e.g., algorithms, data structures, computer architecture, logic) and Software Development Life Cycle (SDLC). Proficiency in at least one major programming language (C/C++, Java, Ada, Rust, or Go). Familiarity 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 ❯

Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance 6. Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production 7. Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years More ❯

Sr. Applied Scientist, Last Mile Science Are you passionate about solving complex logistics challenges that directly impact millions of customers? Our Logistics Analytics team is at the forefront of revolutionizing delivery experiences through data-driven solutions and innovative technology. As More ❯

development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance of machine learning models using appropriate metrics and … statistical techniques. Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance. Debug and solve issues related to machine learning algorithms and audio software applications. Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively. Our Minimum Qualifications for this Role: Ph.D. in relevant field More ❯

Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ML Engineer on the team, you will have the opportunity to explore intricate business problems and apply advanced algorithms to develop, test, and evaluate AI/ML applications or models for these challenges. You will leverage the firm's extensive data resources from both internal and external sources using … sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with deep learning frameworks such as TensorFlow and PyTorch. Experience with big More ❯

software development methodologies. • Working experience with version control systems (e.g., Git, SVN) Nice to Haves • Experience in the medical devices or sensor and algorithm industries • Knowledge of signal processing algorithms • Familiarity with machine learning and artificial intelligence • Familiarity with computer vision/image processing We Offer At Medtronic, you will find a diverse team of innovators who bring their unique More ❯

preferred General familiarity with some of the technologies we use: Python, Apache Spark/PySpark, Java/Spring Amazon Web Services SQL, relational databases Understanding of data structures and algorithms Interest in data modeling, visualisation, and ETL pipelines Knowledge of financial concepts (e.g., stocks, bonds, etc.) is encouraged but not necessary Our Values Act Like an Owner - Think and operate More ❯

Job Summary: We are seeking a highly skilled and motivated AI Full Stack Developer with a strong foundation in cybersecurity operations and artificial intelligence technologies. The ideal candidate will have deep technical expertise in AI/ML, data science, and More ❯

statements. If you are excited by this charter, come join us! Minimum Requirements: Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience using Unix/Linux Experience in professional software development PhD, or a Master's … degree and experience building machine learning models or developing algorithms for business application Significant peer reviewed scientific contributions in relevant field Extensive experience applying theoretical models in an applied environment Expertise on a broad set of ML approaches and techniques Prior Experience in Transportation Logistics business Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts More ❯

Data Science project and initiatives. Engage with Stakeholders and Subject Matter Experts to identify new opportunities to apply these techniques. Design and develop Machine Learning and Artificial Intelligence applications, algorithms, models, and other analytics solutions. Lead and support Data Scientists, Engineers and Analysts in delivery of these initiatives. Prototype solutions to explore business hypothesis in an agile and iterative way 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 ❯

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 ❯

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 ❯

and multivariate testing for AI evaluation. Assess machine learning solutions for feasibility and operationalize successful prototypes with Data Engineers. Use statistical techniques to optimise business performance. Develop and maintain algorithms to improve customer value and services. Deliver data science projects that drive business benefits and competitive advantage. Conduct ad-hoc analysis to predict, measure, and interpret business trends. Mentor data More ❯

enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark model performance using appropriate metrics and statistical techniques. Work with software engineers to integrate algorithms into audio software products, ensuring seamless functionality and performance. Debug and resolve issues related to machine learning algorithms and audio applications. Document processes, algorithms, and experiments; communicate findings effectively. Minimum More ❯

and results in an ever-changing operational environment. As an Applied Scientist, you will design, develop and deploy robust and scalable scientific solutions via Operations Research and Machine Learning algorithms, especially in the context of stochastic customer demand and other sources of uncertainty requiring to move past deterministic and linear optimization. You will partner with other tech and science teams … of your solutions and their fast and scalable implementation to address and anticipate customer needs. Key job responsibilities - Build state-of-the art, robust, and scalable optimization and forecasting algorithms to drive optimal inventory placement and product flows in non-convex, non-linear, and stochastic optimization settings - Design and engineer algorithms using Cloud-based state-of-the art software development … QUALIFICATIONS - PhD, or a Master's degree and 5+ experience applying theoretical models in an applied environment - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - 5+ years experience in commercial OR tools (e.g. More ❯

development of next-generation audio software and make a significant impact in the industry. Key Responsibilities: Collaborate with cross-functional teams to design and implement machine learning models and algorithms for audio processing, analysis, and enhancement. Train, validate, and fine-tune machine learning models for various applications. Evaluate and benchmark the performance of machine learning models using appropriate metrics and … statistical techniques. Collaborate with software engineers to integrate machine learning algorithms into audio software products and ensure seamless functionality and performance. Debug and solve issues related to machine learning algorithms and audio software applications. Document software development processes, algorithms, and experiments, and communicate findings and recommendations to the team effectively. Our Minimum Qualifications for this Role: Ph.D. in relevant field More ❯

As an AI/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal … sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a preference for Databricks. Experience with databases More ❯

big data, leveraging Amazon's vast computing resources (AWS), working on exciting and challenging projects, and delivering meaningful results to customers world-wide. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. - Collaborate with software … Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED QUALIFICATIONS - Experience using Unix/ More ❯

As an AI/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal … sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. Preferred qualifications, capabilities, and skills Experience with big data frameworks, with a preference for Databricks. Experience with databases More ❯

team to a high bar. As an Applied Science Manager, you will be responsible for ensuring your team successfully delivers on design, development, testing, experimentation, and the operations of algorithms, datasets, and systems your team owns. You should have an established track record of launching customer-facing experiences, deep technical ability, and excellent project management and communication skills. This role … in Java, C++, Python or related language - Experience in building machine learning models for business application - Experience in applied research PREFERRED QUALIFICATIONS - Experience building machine learning models or developing algorithms for business application - Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers Please note that if you are More ❯

be doing Work with large and complex datasets to identify trends, patterns, and insights Contribute to data analytics and machine learning projects Develop and implement machine learning models and algorithms Take projects from research stage through to production Work with data storage systems, including MariaDB databases and data warehouses Optimize data pipelines for performance and scalability, ensuring efficient use of More ❯

Execute software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems. Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems. Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development. Gather, analyze, synthesize, and develop visualizations and More ❯