1 to 25 of 194 Algorithms Jobs in London

collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and data mining to extract insights from More ❯

versioning, compliance, and validation Execute creative software solutions, design, development, and technical troubleshooting Create secure and high-quality production code, review and debug code written by others, and maintain algorithms Identify hidden problems and patterns in data to drive improvements in coding hygiene and system architecture Provide technical guidance and direction to support business and technical teams Contribute to a More ❯

and management A Degree in Computer Science, Engineering, Mathematics, or similar field of study or equivalent work experience An understanding of Computer Science fundamentals such as data structures and algorithms We give back to the technology community and you can read more about our outreach at: Bloomberg is an equal opportunity employer and we value diversity at our company. We More ❯

energy future also moves you, we may very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk Designing and implementing More ❯

their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key responsibilities Develop machine learning algorithms for high-scale recommendations problems. Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business judgement. Collaborate with software More ❯

and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and More ❯

e.g., Wireshark), Solace , and 10GbE multicast Knowledge of FIX protocol and other market connectivity standards Domain Knowledge Front-office experience in FX trading or quantitative finance Understanding of pricing algorithms , dynamic spreading , and FX ECNs FX Options knowledge is a plus Methodologies & Collaboration Experience with Agile, Scrum, or Kanban delivery frameworks Strong communication skills with the ability to liaise between More ❯

deep learning models using tools like Python, TensorFlow, PyTorch, or Scikit-learn. Explore & Prepare Data : Help clean, transform, and analyse large datasets for AI applications. Experiment & Research : Test new algorithms, perform feature engineering, and help improve model accuracy and efficiency. Deploy & Monitor Models : Learn how to deploy models into production environments and monitor their performance over time. Collaborate Across Teams More ❯

Strong command of SQL for database management, query optimisation and No SQL databases Experience in Python Programming and data visualisation using PowerBI or similar tools Exposure to applying ML algorithms, libraries or frameworks and build models to predict outcomes and automate processes Significant experience working within an Agile software development and delivery process. Comfortable participating in backlog estimation, planning poker More ❯

our Nicosia office, we would love to meet you and discuss how you can contribute to our success! The role: Design, develop, and implement machine learning models and AI algorithms in alignment with project-specific objectives. Engage in active collaboration with cross-functional teams, including data scientists, engineers, and product managers, to comprehend business requirements and pinpoint AI application opportunities. More ❯

be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive More ❯

approaches. -Mentor junior scientists and interns by providing technical guidance for their projects. -Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning More ❯

on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem-solving, and analysis skills Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote More ❯

positively impact the lives of millions. What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

and Machine Learning Excellent software engineering skills with a strong knowledge of Python A keen interest and understanding of financial markets and instruments Relevant mathematical knowledge e.g. statistics, optimisation algorithms, linear algebra. Advantageous Experience using GenAI to build agentic, knowledge processing, or automated coding tools Experience training or fine-tuning generative models Experience building tools and technologies within systematic or More ❯

data from various sources, transform it into the desired format, and load it into the appropriate data storage systems Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance Integrates data from different sources, including databases, data warehouses, APIs, and external systems Ensures data consistency and integrity during the integration process, performing data … and augmentation of human performance Works with board members and other executives to establish the vision for managing data as a business asset Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making Skills and Experience Required A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field More ❯

next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system More ❯

next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system More ❯

next level. There is a strong focus on mathematical modelling and utilising ML and AI technologies to help further scale systems. Key responsibilities Develop and deploy optimisation models and algorithms for staff scheduling and warehouse workforce planning ( Metaheuristics/Heuristics). Develop mathematical models and optimisers (beyond standard ML approaches) Evolve the existing optimiser into a scalable, production-ready system More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering principles. Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow). Proficiency in working with cloud services (AWS, GCP, or Azure). Strong understanding of More ❯

Java and Kotlin development experience You have experience with Agile processes and TDD You have a thorough understanding of Computer Science fundamentals such as OOP, Design Patterns, Data Structures, Algorithms Other tech in the stack includes Scala, React, Spring, Oracle, Redis, Kubernetes, Docker and Linux so previous exposure to any of these would be beneficial You're collaborative with good More ❯