16 of 16 Algorithms Jobs in Hertfordshire

customers and translating requests into prioritized work or features Expertise in applying risk identification techniques to develop security solutions Experience and understanding of Cryptographic algorithms, standards, implementation and application Experience and understanding of threat modeling, penetration testing, reverse engineering and attacks on software Experience working with large enterprise customers ...

Design, Engineering) Experience recruiting and mentoring junior engineers is a plus Skills Proficiency in modern programming languages and frameworks Strong grasp of data structures, algorithms, and software design principles Experience with databases, APIs, and networking Knowledge of software testing methodologies and tools Familiarity with DevOps practices and tooling Ability ...

Bachelor's degree in Computer Science or related field Strong foundation in programming (Java, Python, C++, or similar) Basic understanding of data structures and algorithms Familiarity with databases and APIs Knowledge of Git or version control systems Strong logical thinking and problem-solving ability Willingness to learn and adapt ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

This 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 ...

powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

physics or aerospace with knowledge in digital engineering and electronics. Extensive hardware/software design experience including the implementation, verification, and validation of algorithms in ASICs and FPGAs in collaboration with application developers, etc. Stability, ability to work under pressure, international mindset, and a team player. Key Tasks Assume central ...

analysis in order to produce solutions that meet the required power, performance, area and bandwidth requirements. Work with the research group to map novel algorithms to efficient implementations Work with the modelling team to explore and evaluate new ideas and produce performance targets Work with the product team to define ...

Senior Embedded Software Engineer | Cambridge Are you a highly experienced Embedded Software Engineer with a passion for problem-solving across the full product lifecycle? My client developed highly precise scientific instruments & sensors. Responsibilities as an ...

Stevenage At MBDA, we are continuing to grow our Data Link Systems organisation, providing a world leading missile data link capability. We have a number of exciting opportunities within Data Link Systems, working across the ...