1 to 25 of 217 Algorithms Jobs in Manchester

from you. Experience in the travel or retail industry would be an advantage. Responsibilities Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create More ❯

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 More ❯

practical insights. Key Responsibilities Preparing, cleaning, and structuring data for model development. Investigating patterns, trends, and anomalies within datasets. Building and enhancing machine learning algorithms, with guidance from the Lead Data Scientist. Presenting findings through clear, informative visualisations. Writing and optimising SQL queries for data management and manipulation. Collaborating with More ❯

excited if you have 10+ years of experience building large scale and low latency distributed systems Command of Java or C++ Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases More ❯

have 10+ years of experience building large scale and low latency distributed systems Command of Java, C++ or Go/Golang Solid understanding of algorithms, data structures, performance optimization techniques, object-oriented programming, multi-threading, and real-time programming Experience with distributed caching, SQL/NO SQL, and other databases More ❯

the role include: Prepare, clean, and structure data for model development. Investigate patterns, trends, and anomalies in payments data. Build and improve machine learning algorithms under guidance from the Lead Data Scientist. Present findings through clear, informative visualisations. Write and optimise SQL queries to manage and manipulate data. Collaborate with More ❯

Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like Docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS More ❯

and draw actionable insights. * Proficiency in data analysis tools and programming languages such as Python, R, SQL, etc. * Familiarity with machine learning techniques and algorithms is preferred. * Excellent communication skills with the ability to present findings to both technical and non-technical audiences. * Ability to work independently as well as More ❯

concise documentation Technical Expertise: Previous experience in software engineering, preferably within the Life Sciences Sector Strong grasp of computer science fundamentals: data structures and algorithms, complexity, object oriented design Proficient in at least one all purpose imperative language: Python (ideal), Java, C++, etc. Familiar with modern DevOps/CloudOps best More ❯

experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in containerization More ❯

leveraging and/or finetuning LLMs. (experience building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS More ❯

a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into More ❯

such as missing values, outliers, unbalanced data, and data normalisation. Model building: This stage is the core of the data science execution, where different algorithms are used to train the data and the best algorithm is selected. A data scientist should know: Multiple modelling techniques Model validation and selection techniques More ❯

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 More ❯

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 More ❯

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 More ❯

solutions for trading systems. Collaborate with traders, quants, and other stakeholders to gather requirements and deliver high-quality software solutions. Optimize and troubleshoot trading algorithms and systems to ensure high performance and reliability. Participate in code reviews, testing, and deployment processes to ensure code quality and stability. Stay updated with More ❯

discussing hybrid working options. Key Responsibilities: Report to the Head of Machine Learning and assist the ML team. Help design, implement, and refine ML algorithms and tools. Collaborate with cross-disciplinary teams to integrate ML models into game development. Conduct experiments to improve model performance. Help train, retrain, and maintain More ❯

AI Integration: • Utilize advanced analytics and machine learning tools to segment and target audiences effectively. • Contribute to the development of data models and predictive algorithms that enhance audience reach and engagement. Performance Analysis & Reporting: • Monitor key performance indicators (KPIs) and prepare detailed reports to track campaign success. • Conduct A/ More ❯

and embedding data-driven decision making across the organisation. As our new Senior Data Scientist, you’ll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies — with opportunities to work on NLP projects too. You’ll also take ownership of projects More ❯

NLTK and spaCy Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks Hands-on experience with Natural Language Processing (NLP) Solid grasp of mathematical concepts relevant to More ❯

ROS 2 , or other robotics middleware Integrated development workflow, in particular use of VS Code as an IDE Experience in the following topics: Control algorithms, in particular control of actuators or processing of sensor data (e.g. IMU, lidar) and vision based navigation Simulation modelling, developing models of equipment, dynamics or More ❯

ROS 2 , or other robotics middleware Integrated development workflow, in particular use of VS Code as an IDE Experience in the following topics: Control algorithms, in particular control of actuators or processing of sensor data (e.g. IMU, lidar) and vision based navigation Simulation modelling, developing models of equipment, dynamics or More ❯