1 to 25 of 101 Algorithms Jobs in London

Required Skills & Qualifications: Strong proficiency in Python, SQL , and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch . Hands-on experience with ML algorithms and deep learning architectures. Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies and cloud platforms. ...

organisations wider data and AI strategy. Role Responsibilities Collecting, cleaning, validating, and preparing data from multiple sources Designing and implementing data models and algorithms to address business challenges Building, testing, and deploying predictive analytics and machine learning solutions Visualising data and communicating insights clearly to technical and non-technical stakeholders ...

optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/ ...

data processing, analysis, and model creation. Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency. Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model ...

develop, and maintain robust well designed Python-based modules that apply advanced optimization techniques and provide analytics for our Pulse product. Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics. Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Build and enhance software ...

architectural roadmap, whilst looking to optimize away manual inefficiencies. Example projects: The team has helped develop a number of modular building blocks Low-latency Algorithms for Automated Trading and Systematic Market Making Real-time streaming pipelines and signals Pricing libraries and tooling Venue connectivity for automated fund movement and management. ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

Python solutions that bring mathematical models to life. 🛠 What you’ll do: Build, maintain, and improve Python modules for analytics and optimization. Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling. Handle large-scale data and optimization challenges while keeping performance and scalability in mind. Apply software engineering best ...

paced, agile environment. Strong proficiency in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve ...

scalability of existing systems, ensuring low-latency trade execution and real-time risk monitoring. Collaborate with quants and traders to prototype and implement algorithms that enhance trading strategies and position management. Lead code reviews, enforce best practices, and mentor junior developers to foster a culture of excellence. Work ...

learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical ...

Engineering, or a related discipline (graduating between December 2025 and June 2026) Strong programming capability in C++ and Python Solid foundations in data structures, algorithms, and operating systems Comfortable working in Linux/Unix environments A strong focus on writing clean, efficient, and maintainable code Excellent analytical thinking and problem ...

environments Good understanding of agile software development methodology Thorough understanding of fundamental software engineering and computer science principles: object-oriented design, structured design, databases, algorithms, data structures, usability, refactoring debugging, agile software development methodology and industry best practices. Excellent design and problem solving skills Experience providing architectural guidance and mentoring ...

have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What ...

roadmap. Qualifications Proven experience in software engineering, including proficiency in programming languages like Python. Strong knowledge of AI/ML technologies, data structures, and algorithms Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud) Familiarity with renewable energy industry, contract management, or financial analysis ...

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 ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

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 ...

maintaining ML infrastructure, training platforms, or inference systems* Solid understanding of distributed systems, parallel computing, and large-scale data processing* Strong fundamentals in algorithms, data structures, and system design Nice to Have * Experience optimising ML inference for robotics, edge, or embedded systems* Exposure to low-level systems concepts such ...

their skills. Shape the architecture and technical direction of our products, balancing scalability with speed of delivery. Design and integrate AI models and algorithms that unlock insights from national connectivity data to tackle real-world challenges. Leverage unique datasets from Ofcom, Openreach, independent networks and ISPs to uncover problems that ...

ownership and autonomy in a high-stakes environment What we’re looking for 2–5 years’ experience as a software engineer Strong fundamentals in algorithms & data structures Proficiency in Java, C++, Go, or similar (Go experience not required) Experience with distributed systems Interest in data analysis/statistics (regressions, data ...

microservices at scale. Deep understanding of software architecture, cloud infrastructure (Google Cloud, AWS, or Azure), and modern DevOps practices. Strong knowledge of data structures, algorithms, and system design principles. Demonstrated experience influencing technical direction across teams and driving alignment on complex engineering decisions. Passion for delivering elegant, high-performance software ...

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 ...