1 to 25 of 2,173 Algorithms Jobs in London

of core machine learning concepts • Hands-on experience with at least one major deep learning framework (e.g., TensorFlow, PyTorch, Keras). • Proven understanding of software engineering principles, data structures, algorithms, and design patterns. • Experience with version control systems (e.g., Git). • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills. 4. ADDITIONAL DETAILS Please note that candidates may More ❯

is a plus) 2+ years of professional experience as in C++ Development Modern C++ programming experience in C++17/20 or above Knowledge of design patterns, data structures and algorithms Ability to write efficient, high performing code Strong analytical and problem-solving skills Solid communication skills Able to work as part of a team in a fast-paced environment Detail More ❯

to ensure they meet client requirements and industry standards. Data Analysis and Modelling: Analyse large datasets from industrial systems to identify trends, patterns, and anomalies. Develop predictive models and algorithms to optimize industrial processes and enhance performance. Use machine learning and statistical techniques to drive data-driven decision-making. Software Development: Write clean, maintainable, and efficient code to develop software More ❯

Develop and maintain data pipelines, data warehouses, and data lakes using tools such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Implement machine learning models and AI algorithms using frameworks like Azure Machine Learning, Microsoft Cognitive Services, and Databricks. Provide technical leadership and mentorship to junior consultants. Stay up-to-date with the latest trends and technologies in More ❯

degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering, or a related technical field. Excellent object-oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and performance optimization. Strong written and verbal communication skills. Problem-solving ability and data-driven decision-making skills. Ability to manage multiple stakeholders and work as part of a global More ❯

s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working More ❯

s degree or relevant work experience in Computer Science, Mathematics, Electrical Engineering or related technical discipline. Excellent object oriented or functional analysis and design skills. Knowledge of data structures, algorithms, and designing for performance. Excellent written and verbal communication skills. Ability to solve problems and apply analysis to make data driven decisions. Comfortable multi-tasking, managing multiple stakeholders and working More ❯

client materials and commercial proposals Be the subject matter expert, advising and building solutions, in the contexts of PoC, Datalab or Datalake Have an innovative mindset to implement complex algorithms in a Big Data environment Engineering lead and mentoring; contribute to the development of Data Engineers through knowledge sharing and mentorship Manage the technical relationship between Ekimetrics and our clients More ❯

data sets to ask the right questions and find the right answers. Responsibilities Analyze raw data: assessing quality, cleansing, and structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with the engineering team to bring analytical prototypes to production Generate actionable insights for business improvements Qualifications Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years of experience in quantitative analytics or data modelling Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Seniority level Seniority level Entry level Employment type Employment More ❯

and have the opportunity to drive the architectural roadmap, whilst looking to optimise away manual inefficiencies. 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. By the end of … and Stablecoin business units WHAT YOU'LL DO: Research, design, and backtest systematic trading strategies and alpha signals across multiple asset classes, ensuring statistical rigor. Develop and optimize execution algorithms (e.g., VWAP, TWAP, Participation) and Smart Order Routing (SOR) logic to minimize market impact. Contribute to the evolution of trading infrastructure, including Execution and Order Management Systems (EMS/OMS … expertise in Java and/or Python. Proficient in Python's data science ecosystem (Pandas, NumPy, Scikit-learn), with strong debugging and analytical skills. Proven track record implementing trading algorithms and working with distributed systems in fast-paced front-office environments. Experience building transactional systems with modern databases (Aurora, DynamoDB) and deploying services via Kubernetes or Nomad. Solid understanding of More ❯

successful candidate will develop models that transform complex datasets into actionable insights, enhancing our product offerings and informing strategic decisions. Key Responsibilities: Develop and deploy machine learning models and algorithms to address complex business challenges. Translate intricate business problems into technical solutions. Write clean, modular, and scalable code suitable for production environments. Lead data mining and collection strategies to prepare More ❯

data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team members’ work via independent programming in R Implement and optimize algorithms for processing and analyzing data, with a focus on optimizing the CODEX database. Develop custom R packages and integrate existing tools with external systems, databases, and platforms (e.g., cloud infrastructure More ❯

edge AI and model-driven engineering. Job Responsibilities Serve as a subject matter expert on a wide range of ML techniques and optimizations. Provide in-depth knowledge of ML algorithms, frameworks, and techniques. Enhance ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conduct experiments using the latest ML technologies, analyze results, and tune models. Collaborate More ❯

business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. 4. Communication More ❯

business problems. Statistical & Mathematical Modelling and Machine Learning/AI Support the development of predictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. Communication Create More ❯

edge AI and model-driven engineering. Job responsibilities Serves as a subject matter expert on a wide range of ML techniques and optimizations. Provides in-depth knowledge of ML algorithms, frameworks, and techniques. Enhances ML workflows through advanced proficiency in large language models (LLMs) and related techniques. Conducts experiments using latest ML technologies, analyzing results, tuning models Provides has Hands More ❯

Project Oversight: Coordinate the distribution of projects, tools, and data, ensuring alignment with business strategy and data function goals. Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems. Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap. Insight Delivery: Present complex findings clearly through data More ❯

Risk Quant Engineer Man Group plc London, United Kingdom Apply now Posted 1 day ago Hybrid Job Permanent Competitive Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and More ❯

science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity, and computer architecture. Manage the infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited … to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science More ❯

capabilities and affordability checking services Production-Ready Solutions: Transform data science concepts into robust, high-performance code that can handle our production workloads Pragmatic Algorithm Development: Create and optimize algorithms using the most appropriate techniques to solve specific user problems Data-Driven Product Innovation: Collaborate with product teams to translate business requirements into technical solutions that enrich financial data User … of Node.js for backend integration Experience building and deploying data solutions to production environments Practical knowledge of data processing techniques and relevant frameworks Understanding of when to apply ML algorithms vs. simpler approaches to solve problems Experience with statistical analysis and ability to interpret results to drive decision-making Proven ability to clean and prepare data for analysis and enrichment … performance data processing systems Can perform data science analysis independently but focuses on production implementation Understands the difference between exploratory work in notebooks and production-ready code Experience optimizing algorithms for performance and scale Demonstrates a pragmatic approach to problem-solving, always seeking the simplest solution that delivers the best results Can evaluate when machine learning is appropriate and when More ❯

proactively experiment with new ideas, and rapidly implement promising solutions-even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations … ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and More ❯

proactively experiment with new ideas, and rapidly implement promising solutions—even when improvements rely purely on engineering without direct ML involvement. Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalization. Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations … ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach. Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and More ❯

search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will play a critical role … Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data structures, algorithms, and software design patterns. Experience with CI/CD tools and practices (e.g., Github Actions, Jenkins). Experience with containerisation and orchestration (e.g., Docker, Kubernetes, Helm). Understanding of security More ❯

feature prototype. Other times you will need to develop SQL queries after cleaning and preprocessing at times complex and unstructured data sets. Mostly you will work towards utilizing sophisticated algorithms and techniques to bring a high degree of accuracy to our machine learning model development and deployment. An example of some recent projects we have worked on include the following … or MySQL and a demonstrated analytics and problem-solving abilities in the context of analyzing large, real-world datasets and model building with models such as gradient boosted tree algorithms, Deep Learning in particular transformer architectures. Strong experience in working in cloud computing environments such as AWS (preferred), Google Cloud or Microsoft Azure. Strong experience in developing software in Python More ❯

search various types of media and data using our in-house suite of analytics and AI capabilities. Expect to tackle exciting challenges like interacting with LLMs and Computer Vision algorithms, handling real-time messaging and event-driven systems, and developing complex data ingestion and indexing pipelines. About The Role: As a Senior Software Engineer, you will play a critical role … Strong understanding of relational database design principles and SQL optimisation techniques. Experience designing and implementing RESTful APIs. Experience with relational databases (e.g., PostgreSQL). Solid understanding of data structures, algorithms, and software design patterns. Experience with CI/CD tools and practices (e.g., Github Actions, Jenkins). Experience with containerisation and orchestration (e.g., Docker, Kubernetes, Helm). Understanding of security More ❯