1 to 25 of 169 Algorithms Jobs in the City of London

all audiences. Mentor junior team members and support capability growth. Work with engineers to productionise solutions. What we’re looking for: Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding More ❯

architectures that integrate seamlessly with existing business systems. Ensure AI models support enterprise-grade workloads , focusing on efficiency, adaptability, and security . Algorithm & Model Development Develop and optimize AI algorithms for predictive analytics, recommendation engines, and automation in professional services. Apply machine learning (ML) and deep learning (DL) techniques to enhance decision-making and business intelligence. Data Engineering & Integration Architect More ❯

Science, Mathematics, or related field. 5+ years of experience in ML modeling, ranking, or recommendation systems . Proficiency in Python, SQL, Spark, PySpark, TensorFlow . Strong knowledge of LLM algorithms and training techniques . Experience deploying models in production environments. Nice to Have: Experience in GenAI/LLMs Familiarity with distributed computing tools (Hadoop, Hive, Spark). Background in banking More ❯

GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies and SDLC practices. Strong problem More ❯

GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets and performing data preparation and integration. Experience with Agile methodologies and SDLC practices. Strong problem More ❯

experienced Quantitative Developer to join their front-office Equities Electronic Trading team. This is a high-impact, hands-on development role focused on building and optimizing low-latency trading algorithms and infrastructure. The position is based in London and requires significant on-site presence, reflecting the collaborative, fast-paced nature of the business. Team Overview The team sits within the … Equities division, specifically supporting electronic and algorithmic trading across EMEA markets. They focus on designing proprietary execution algorithms, building model-based trading logic, and developing analytics tools that power decision-making and performance optimization. This team plays a central role in ensuring the firm remains competitive in modern electronic markets by integrating quantitative techniques and high-performance engineering. Role Responsibilities … Design and implement proprietary trading algorithms in Java Develop and enhance the firm’s smart order router and market analytics systems Ensure code is well-documented, performant, and production-ready Review peer code and provide constructive feedback Collaborate with quants, traders, and technologists to enhance trading strategies Contribute to the ongoing monitoring and optimization of trading models Engage in both More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

and discovery across academia and industry. Following a successful Series B funding round (£47 million), we are expanding our AI capabilities to develop state-of-the-art models and algorithms that will shape the future of biology and bioengineering. This is a unique opportunity to lead a high-performing AI team, influence partnerships with global technology leaders, and build on … team of AI and machine learning researchers/engineers, providing technical direction and fostering a culture of creativity and rigour Design and implement novel AI/ML models and algorithms, balancing exploratory research with robust, scalable solutions Collaborate closely with interdisciplinary teams of biologists, bioinformaticians, and engineers to translate research objectives into applied outcomes Oversee multiple concurrent research streams, ensuring More ❯

quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of machine learning algorithms Experience with applied machine learning to real-world datasets Published your academic work in journals Finance experience preferred but not essential A generous total compensation package is on offer with More ❯

Experience or interest in agile methodologies (XP, SCRUM, Kanban) and continuous integration. A degree in Computer Science, Physics, Engineering, or Mathematics. Excellent problem-solving, analytical skills, and understanding of algorithms, data structures, and design patterns. Familiarity with messaging middleware, TCP/IP networking, and large-scale distributed systems. Strong communication skills and ability to collaborate with business stakeholders. Interest or More ❯

Spark, or Kafka - advantage − Familiarity with data warehousing solutions and cloud data platforms. − Background in building applications wrapped around AI/LLM/mathematical models − Ability to scale up algorithms to production Key Proposition: - This role offers the opportunity to be part of creating world-class engineered solutions within Artificial Intelligence/Machine Learning, with a steep learning curve and More ❯

external data providers. Optimize performance and 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 in a collaborative, agile team environment More ❯

teams to understand business challenges and develop data-driven solutions. Assist in collecting, processing, and analysing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions in real-world HR More ❯

Data Scientist - Marketing/Customer Analytics London/Reading– Hybrid (2 days in London, 1 day in Reading) (Flexi Hours) Up to £60,000 + Benefits About the Role A leading research and insights company is looking for a Data More ❯

Quant Developer - AI/ML Greenfield Project Location: London, UK (Hybrid) Contract Type: 12-Month Contract (Inside IR35) Start Date: July 2025 About the Role We are partnering with a leading hedge fund embarking on a cutting-edge greenfield initiative More ❯

team. The role involves developing and implementing quantitative trading strategies with a focus on cash equity markets. You will work closely with Portfolio Managers and quantitative traders, leveraging advanced algorithms, statistical models, and market data analysis to build and refine strategies deployed in production environments. Key Responsibilities: Develop and implement quantitative models and algorithms that drive trading decisions in cash … high-level architecture and optimisation of C++ and Python-based models used in various equity strategies. Work closely with research teams to continuously enhance trading models and translate complex algorithms into efficient, production-ready code. Skillset Requirements: Proven experience in a quantitative development or software engineering role within a cash equities trading environment. Expertise in applying advanced quantitative techniques to More ❯

to extract actionable insights from complex data using advanced statistical analysis, machine learning, and data modeling to support strategic decision-making. Responsibilities: Develop and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices Collaborate with cross-functional teams to understand data needs Utilise data visualisation tools to communicate … data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Requirements: Strong proficiency in Python and machine learning libraries Understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skills in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge More ❯

from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support strategic decision-making across the organisation. Role: Develop and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices Collaborate with cross-functional teams to understand data needs Utilise data visualisation tools to communicate … management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled in statistical analysis and data visualisation techniques Hands-on experience with SQL and Azure cloud platform Knowledge More ❯

an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should also be proficient in the mathematical underpinnings of deep learning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for … preferred. Minimum six years of experience in AI engineering, machine learning, or a similar role, preferably within the finance industry or at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication More ❯

native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker) and infrastructure-as-code software (e.g., Terraform). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to apply them to optimise production systems. Problem solving: Strong analytical More ❯

of automated trading. Collaborate with brilliant minds to create and launch game-changing software that powers our systematic FX trading strategies. Your work will blend cutting-edge tech, complex algorithms, and real-time data to redefine the future of trading. Your Mission Architect, develop, and deploy sophisticated software solutions that supercharge automated trading systems Work side-by-side with Quantitative More ❯

Lead or hands-on Engineering Manager, ideally within AI/ML, software development, or SaaS startups. Passionate about Generative AI and LLMs with a strong grasp of cutting-edge algorithms and technologies (e.g., NLP, computer vision, predictive analytics). Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. More ❯

Experience with algorithmic trading systems in crypto, equities, FX, or derivatives at least 5 years. Knowledge of financial markets, risk management, and portfolio optimisation. Solid understanding of data structures, algorithms, and software architecture for building robust, scalable systems. Experience working in a Linux environment, including scripting and automation. Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Engineering, or More ❯

related field). 5+ years of professional software development experience. Proficient in C++ (Concurrent programming techniques: Shared memory, Atomics and lock-free data structures) Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving and analytical skills. Working knowledge of Linux C++ development environment: vim, gdb, make, valgrind etc. Experience working in Linux Environments with good command More ❯