1 to 25 of 33 Algorithms Jobs in Bolton

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 ❯

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 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 ❯

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 ❯

This position offers a unique opportunity to join a dynamic team of professionals in an intellectually stimulating environment. Responsibilities: Design, implement, and optimize trading algorithms, order execution systems, and real-time data processing tools using Python to support front office trading strategies. Work closely with traders and quant teams to More ❯

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 More ❯

highly capable engineers. Needs to be familiar with: Front end: React.js, Backend and APIS: Node.js, database: MongoDB, Infrastructure: AWS, AI/ML: Python (recommendation algorithms) ·Joining the Arcube team as a Full-Stack engineer, you will play a pivotal role in the continuous development of Arcube’s software products, from More ❯

industry with superb engineering. Requirements: At least 5 years of professional Rust software development experience Strong understanding of Rust, memory management, STL containers, and algorithms Good knowledge of OOAD, architecture and design patterns, API design principles Hands-on experience with low-latency, multithreading, including race conditions, deadlocks, etc. Experience with More ❯

Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... low-power, performance and optimisation Applicants must have UK/EU/France working rights - NO sponsorship can be More ❯

models (LLMs), reinforcement learning, and optimization for chip design and AI system integration. Responsibilities: • Conduct and publish cutting-edge AI/ML research • Design algorithms for chip optimization and intelligent systems • Collaborate with engineering teams to integrate AI into real-world tools • Stay current on AI trends and contribute to More ❯

date with the latest trends in machine learning and crypto technologies. Requirements: Proven experience as a Machine Learning Engineer, with a strong understanding of algorithms and data modelling. Experience in Python, TensorFlow, or similar frameworks. A passion for cryptocurrency and blockchain technologies. Strong problem-solving skills and the ability to More ❯

based in Costa Rica. What You’ll Be Doing: Develop, structure, and maintain robust datasets for machine learning workflows. Create and deploy high-performance algorithms and predictive models for sports modeling initiatives. Collaborate with data scientists, developers, and domain experts to solve real-world problems and optimize outcomes. What You More ❯

experience Strong grasp of systems programming concepts: memory management, concurrency, multithreading Solid experience with PostgreSQL and working with large-scale datasets Strong knowledge of algorithms, data structures, and software design principles Proficient with debugging, performance tuning, and profiling tools Clear communication skills with a proactive, team-oriented mindset Experience across More ❯

a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for portfolio optimisation, risk analysis, and asset allocation strategies. Automate data extraction and analysis from financial reports, news, and alternative data sources to support investment More ❯

systems. Demonstrable ability to lead, coach, and inspire security engineering teams, driving best practices and ensuring continuous knowledge sharing. In-depth understanding of encryption algorithms, secure key management and cutting-edge approaches in secure coding and risk reduction. Forward-thinking hacker mindset, with a passion for identifying vulnerabilities before they More ❯

as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems More ❯

machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning More ❯

TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes, or serverless architectures. Solid grasp of MLOps workflows, versioning, and cloud automation. Strong foundations in algorithms, data structures, and system design. Bonus: Familiarity with behavioural biometrics, sensor-based or time series data An entrepreneurial mindset—curious, autonomous, and passionate about human More ❯

as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data models and data warehousing solutions. Knowledge of machine learning algorithms and experience in deploying models in production. In-depth understanding of Azure services and capabilities related to data and AI. Ability to analyse complex problems More ❯

future. They are looking for Mid and Senior Full stack TypeScript engineers, Node.js, React, Postgres, Redis and AWS. Commercial experience with data structures and algorithms is a must! You will be tasked with taking ownership of end-to-end features, working very closely with Product and Design, with reporting directly More ❯

tamper and defence systems. Demonstrated experience in architecting and implementing advanced security features, anti-tamper and robust defence mechanisms. Strong understanding of cryptography, encryption algorithms, hashing, and secure key management practices. Passionate for uncovering vulnerabilities and staying ahead of potential attackers. Creative approach to security challenges, with a relentless drive More ❯

Challenges and Technologies: Work on projects unlike those of any industry outside defence. Core Engineering Domains: Systems Engineering Software Engineering Electrical and Electronic Engineering Algorithms Simulation and Modelling Mechanical Engineering Hardware Engineering Supportability/ILS Engineering Apply today! Due to the nature of our work, we are only able to More ❯

attention to detail. Experience of testing in a wide range of software environments: Windows desktop, Linux and cloud-based software Experience of testing complex algorithms, ideally in the context of analysis of Next Generation Sequencing data. Experience of integrating automated testing into CI/CD pipelines. Experience of working within More ❯

and implementing advanced security features, anti-tamper and robust defence mechanisms. Experience in Android development. Strong knowledge of cryptography and an understanding of encryption algorithms, hashing and secure key management practices. Passionate about uncovering vulnerabilities and staying ahead of potential attackers. Proven ability to work effectively with cross-functional teams More ❯

Clear interest in architecting and implementing advanced security features, anti-tamper and robust defence mechanisms. Experience in iOS development. Strong understanding of cryptography, encryption algorithms, hashing and secure key management practices. Passionate for uncovering vulnerabilities and staying ahead of potential attackers. Proven ability to work effectively with cross-functional teams More ❯