1 to 25 of 94 Algorithms Jobs in the East Midlands

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 ❯

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 ❯

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 ❯

data science role Desired Characteristics 5+ years professional experience in Semiconductor Fabrication or Electronics/Optical manufacturing/operations engineering Data-oriented personality - passion for using numbers, data and algorithms to analyse situations and explain the world around us. Demonstrated ability to problem solve in unfamiliar situations in face of imperfect or ambiguous information. Great communication skills and comfort interacting More ❯

assessment. We also build LLM-powered systems for automating and accelerating cybersecurity risk assessment workflows. About the Role: As an ML Engineer, you will design and optimize machine learning algorithms, build scalable data pipelines, and deploy reliable models into production environments. You'll collaborate with cross-functional teams to integrate ML solutions into products, conduct research to stay ahead of … with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Proficiency in data manipulation and analysis using tools such as Polars, Pandas, NumPy, or SQL. Solid understanding of algorithms, statistics, and data structures. Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Knowledge of CI/CD pipelines and version control systems (e.g. Git). Familiarity More ❯

and Innovation: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification and assessment. Evaluate and verify the accuracy and effectiveness of the model and associated methodologies. Design and implement a proof-of-concept prototype to demonstrate the … and academic partner. Qualifications, Knowledge and Experience - PhD in Computer Science, Data Science, Mathematics, Engineering or similar - Programming proficiency in Java, (or Python) - Good understanding of ML techniques and algorithms - Good understanding of knowledge representation and graph models - Understanding of insurance industry relevant to Risk Compliance Management. - Demonstrated experience in managing projects from initiation to completion, ensuring deadlines, budgets, and More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train generative AI models to create, process, and analyze audio content. Implement and refine AI More ❯

Location: Edinburgh or London Working Pattern: Hybrid Contract: Permanent Role Overview: We are seeking a Head of Product Control to establish and lead a high-performing team responsible for overseeing modeling risk across FNZ Group. This strategic role combines team More ❯

days in office Do you have a solid background in .Net Core, C#? Do you have a physics-biased education or work experience? Do you have experience in: complex algorithms, linear algebra, FFT, or signal processing? Role: A seasoned software developer with over five years of commercial experience in modern C# .NET development, complemented by an engineering/physics background. More ❯

machine learning modelling techniques & proven experience deploying these within a business Adept in in statistics and experience of using statistical techniques Experience of analysing large datasets and communicating complex algorithms and methodologies to key technical and non-technical stakeholders. A detail oriented, highly logical, and creative problem solver with a passion for overcoming complex challenges. Proficient in writing clear, maintainable More ❯

enables retailers to run more efficiently and cost-effectively. What You’ll Do: As a Junior to Mid-Level Data Scientist , you’ll be working directly with advanced AI algorithms to enhance and improve the platform’s ability to drive insights and automation within the retail sector. You will help refine models that predict purchasing trends, optimise product assortments, and … external market datasets. Your models will improve the AI’s ability to make real-time, data-driven decisions for retailers. Collaborating with engineers and senior data scientists to refine algorithms, ensuring they are tailored to the fast-paced nature of the retail industry. The models will help businesses adapt quickly to changing consumer trends, seasonal demand, and market dynamics. What … trends, automate decisions, and create personalised shopping experiences that engage customers and increase sales. Develop Cutting-Edge AI Technologies : You’ll work with state-of-the-art machine learning algorithms that are already transforming the way retail businesses forecast demand, optimise inventory, and drive customer loyalty. Be part of a company that’s growing rapidly : This is your chance to More ❯

other teams. What you will do: Core Development Embedded Software Development : Design, write, debug, and maintain low-level software for embedded systems, including BSP and drivers. Power Optimization : Implement algorithms and techniques to minimize power consumption for battery-operated devices. Kernel and RTOS Development : Customize and optimize RTOS (e.g., FreeRTOS) or Linux kernel components for embedded platforms. IoT Integration : Develop … and secure data transmission. Testing Frameworks : Experience with testing tools and frameworks such as Robot Framework, Pytest, or Unity. Power Management : Understanding of low-power design principles, energy-efficient algorithms, and power profiling tools. Debugging Tools : Proficiency with debugging tools like JTAG, GDB, and serial debuggers. Automation Tools : Experience with CI/CD pipelines, Jenkins, GitLab CI, or similar tools. More ❯

in software development What We’re Looking For: A recently completed degree in Computer Science, Software Engineering, or a related field Understanding of software development principles, data structures, and algorithms Experience with web development frameworks or tools (e.g. React, Node.js, Django) Enthusiasm for learning and building high-quality software Excellent communication and collaboration skills Full right to work in the More ❯

in software development What We’re Looking For: A recently completed degree in Computer Science, Software Engineering, or a related field Understanding of software development principles, data structures, and algorithms Experience with web development frameworks or tools (e.g. React, Node.js, Django) Enthusiasm for learning and building high-quality software Excellent communication and collaboration skills Full right to work in the More ❯