1 to 25 of 36 Algorithms Jobs in Central London

Storytelling with data and insights from the outputs Consulting skills, supporting development of presentation decks and communication Preferred Criteria Deep understanding of machine learning algorithms including supervised, unsupervised, and reinforcement learning approaches Strong proficiency in statistical modelling, time‐series forecasting, and predictive analytics Experience with deep learning frameworks (TensorFlow, PyTorch ...

knowledge of CI/CD, testing and deployment You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and pragmatic with great communication skills You're degree educated in a STEM discipline, having achieved a 2.1 or above What ...

Engineers. Nice-to-Have Qualifications Experience with FastAPI or similar async Python web frameworks Experience with Neo4j or other graph databases Experience with graph algorithms and network analysis Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience ...

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 ...

test, and document code autonomously Experience with FastAPI or similar async Python web frameworks Experience with Neo4j or other graph databases Experience with graph algorithms and network analysis Experience with Helm and Kubernetes operators Background in data science, statistics, or scientific computing Experience with graph analytics or network analysis Experience ...

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 ...

technology Experience: Degree in Computer Science, Engineering, Mathematics, Physics or similar quantitative discipline Strong skills in Java Exposure to Python Understanding of data structures, algorithms, networking fundamentals, OOP, & software design patterns Familiar with Linux/Unix Git or similar Nice-to-have: Financial markets or trading systems Cloud infrastructure Statistics ...

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 ...

cleaning and processing pipelines Implement orchestration pipelines and CI/CD deployment processes Ensure software quality through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify product adoption and value capture Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

solutions to address complex business challenges. Collaborate with cross-functional teams to integrate AI technologies into existing systems. Research and apply advanced machine learning algorithms and techniques to improve business processes. Analyse large datasets to derive actionable insights and drive data-driven decision-making. Develop and maintain scalable AI models ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured ...

team develops software operating within the latency-critical layer of the firm’s trading infrastructure. This includes market connectivity, large-scale data handling, trading algorithms, execution systems, and advanced hardware integrations. Key Responsibilities Design, develop, test, deploy, and maintain high-performance C++ applications within a low-latency trading environment Build ...

technical solutions What we're looking for Experience as a Machine Learning Engineer or Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments ...

reason and execute, leveraging the latest in LLM fine-tuning, RAG pipelines, and scalable MLOps. The Core Mission Architect & Build: Design and implement AI algorithms and architectures, moving from raw concepts to robust frameworks. Agentic Systems & LLMs: Develop intelligent AI agents capable of reasoning and planning. Expertly handle LLM fine ...

review the development work of other lead software developers. You’ll work on the entire company's backend code base: data models, algorithms, data pipelines, infrastructure, APIs, complex database queries, ML models. Learn, use, and improve best practices and processes for high-quality software development. Our technology stack includes Python ...

prototypes and enterprise-scale deployment. Key Responsibilities AI Model design and build: Work closely with data scientists and business to design and implement AI algorithms, frameworks and architectures. AI model Data Preprocessing: Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and load data from various sources. ...

platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. As a Graduate Security Operations Engineer you'll have a broad scope ...

software, develops a suite of integrated solutions designed to guide and accelerate the engineering transformation of today’s products. Fusing advanced physics with AI algorithms, our platform, GT-SUITE, is used to simulate a broad range of systems from early stage development to digital twin applications across multiple industries including ...

ready software. Drive meaningful scientific progress: Contribute to research initiatives, publications, and breakthrough demonstrations in quantum technology. Own complex, high-impact challenges: From decoding algorithms to fault-tolerant circuit transformations, you’ll tackle problems that sit at the frontier of computing. 🧠 About You This role is ideal for someone ...

Senior Software Engineer C++ (Python, SQL, Linux, Trading, FinTech, Financial Technology, Low Latency, Backend) ***This is a hybrid role, 2 days remote and 3 days in the office*** Our client actively encourages diversity, equality and ...

will be working with clients to understand their planogram constraints, improve generation algorithm and identify prototype opportunities with AI. Experience Strong fundamentals in algorithms and mathematical programming Programming experience in Rust and Javascript 3d spatial optimisation will be an advantage What do you get in return? Fully remote with quarterly ...