1 to 25 of 41 Algorithms Jobs in the Midlands

Lambda, EC2, RDS, Glue, or similar) Strong applied mathematics – statistics, probability, linear algebra, or signal processing Demonstrated ability to read, understand, and extend complex algorithms and dense business logic written by others Understanding of software engineering principles (testing, code quality, design patterns) Familiarity with version control (Git), CI/ ...

related technical field that involves programming. Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Proficiency with Observability stacks, including distributed tracing, logging, and metrics (e.g., Prometheus, Grafana, ELK, or OpenTelemetry). Experience in some ...

knowledge of Unix/Solaris environments, software build processes, scripting, debugging, version control, and deployment practices for engineering software. Advanced understanding of data structures, algorithms, computational methods, numerical accuracy, performance optimisation, and scalable software design. Extensive analytical thinking, problem-solving, communication, documentation, and collaboration skills to work effectively with global ...

Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Knowledge of networking protocols(VPC) , load balancing strategies in a distributed systems environment , database query performance tuning and identify cause ...

Grafana, Splunk, Datadog, OpenTelemetry, ELK, or CloudWatch) Experience with automated testing and SDLC concepts, developing applications in a Linux environment, and sound knowledge of algorithms, data structures and software design. Knowledge of networking protocols(VPC) , load balancing strategies in a distributed systems environment , database query performance tuning and identify cause ...

such as S3, Lambda, EC2, RDS and Glue. A solid understanding of statistics and applied mathematics. The ability to understand, interpret and extend complex algorithms and business logic. A strong grounding in software engineering principles, including testing, code quality and design patterns. Experience with Git, CI/CD pipelines ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

challenges, solving problems without prescriptive approaches. Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives. Developing predictive models and algorithms using statistical techniques and machine learning. Conducting and supervising rigorous statistical validation of models against historical and live data. Collaborating with trading teams to incorporate ...

methodologies, and analytical approaches Reviewing predictive models developed by actuarial and data science teams Determining the most effective application of model outputs within pricing algorithms Identifying customer segments and pricing opportunities to improve commercial performance Building and maintaining automated analytical tools to generate pricing insights Partnering with underwriting, actuarial, data ...

multi-domain systems. Innovation and Technology Development Lead the research and evaluation of advanced control strategies (e.g., AI-enhanced control, Kalman filters, energy optimization algorithms). Lead feasibility studies, proof-of-concept development, and technology road-mapping for control and software platforms. Lead the development of control architecture improvements ...

offline and online simulation tools. Control and protection parameters tuning to meet grid stability criteria specified in customer technical specifications. Conversion of MATLAB Simulink algorithms to PSCAD models. Support improvements to existing algorithm/strategies for power fault recovery or instability issues during DPS studies. Contribute to development ...

control solutions. The ideal candidate holds an advanced degree in electrical engineering, possesses over 15 years of industrial experience, and excels in developing control algorithms using MATLAB/Simulink. The position offers opportunities for growth and collaboration in cutting-edge energy solutions. #J-18808-Ljbffr ...

Manufacturing Engineering). Strong domain knowledge in Manufacturing, Operations, or Supply Chain Management. Ability to translate complex software capabilities and optimization algorithms into measurable business value. Demonstrated capability in managing complex, end-to-end enterprise engagement cycles. Outstanding communication, executive presentation and contract negotiation skills. Fluent written and spoken English ...

over 80,000 people worldwide. In the GE Vernova Gas Power Analytics & Digital engineering team, based in Rugby, we are constantly evaluating methods and algorithms that offer the opportunity to improve the efficiency and effectiveness of our engineering design and analysis tools and processes. Our main area of interest … performance. Design Exploration: Runs Design of Experiments (DoE) to test how adjustments in shape or parameters affect overall output. Optimisation & Machine Learning: Integrates optimisation algorithms and surrogate modeling (like Kriging models) to accelerate design enhancements and uncertainty quantification (UQ). Typical Engineering Applications Used heavily in turbomachinery and power generation ...

join our Reverse Engineering Team in Nuneaton (UK) as our new Software Engineer . Your day-to-day role will include: Cryptanalysis of algorithms Analysis of various microcontroller architectures Using IDA Pro Logging vehicle communications (CAN Bus, K-Line) Developing C/C++ applications for our tools Using Python … transponder technology Knowledge of, or interest in, software and hardware security measures and vulnerabilities Experience with at least one of the following cryptographic algorithms: AES, DES, 3DES, RSA Knowledge of automotive bootloaders Cryptanalysis experience Good mathematical understanding of cryptographic algorithms Experience disassembling binary files using IDA Pro Cross-compilation experience ...

vision systems etc. This is an exciting opportunity to join an innovative technology business developing next-generation solutions using X-ray imaging, optics, advanced algorithms and artificial intelligence to solve complex real-world challenges. Are you seeking physics jobs, physics graduate jobs, PhD physics jobs or scientific research jobs? This … Design, lead and manage scientific research projects, experiments and technical evaluations from inception through to delivery. Use MATLAB extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep ...