1 to 25 of 41 Algorithms Jobs in Central London

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 ...

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 ...

build, train, and scale ML models. As Head of Data Science, you will lead the development and implementation of state‐of‐the‐art algorithms, including Computer Vision techniques, LLMs and other GenAI models. Collaborating closely with multiple stakeholders and cross‐functional teams, including Data and Software engineers, to integrate ...

problems into technical solutions Any exposure to quantum computing frameworks (Qiskit, Cirq) or similar beneficial but not essential Exposure to machine learning, HPC, optimisation algorithms beneficial Exceptional communicator with previous experience of working with Founders, CEOs and COOs (non-technical) to deliver exceptional technology solutions ...

experience in high-performance systems (C++, Python or similar) A track record of excellence, whether in industry, academia, or competitive environments Strong understanding of algorithms, data structures, and system design Desirable Experience Exposure to systematic trading, quantitative finance, or data-intensive environments Experience with distributed systems, concurrency, and low-latency ...

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 ...

within rendering systems. Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines. Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation. Advance techniques in neural rendering, scene generation, and AI-driven photorealism. Improve model efficiency, scalability, and deployment performance. ...

approaches. * Work across the full software development life cycle: requirements, design, implementation, testing, deployment, and support. * Produce secure, high-quality production code and maintain algorithms in sync with relevant systems. * Consider upstream and downstream system impacts when designing and coding. * Analyze large, diverse data sets to identify issues and inform ...

fast moving market. What you'll do: Lead the development and maintenance of predictive models (GLMs) and price optimisation techniques, including machine learning algorithms (GBM), Lifetime Value models (LTV), and fair pricing principles. Provide technical leadership on WTW Radar and Emblem, driving effective and efficient solutions. Research, develop, and champion ...

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 ...

engines, calibration frameworks, and exotic payoff models across asset classes such as Equity, Rates, FX, and Commodities. Need someone who can independently write pricing algorithms, validate quantitative outputs, and explain the mathematical models and pricing papers in detail. The candidate should be capable of verifying pricing numbers against market standards ...

quantitative or technical field (e.g. Computer Science, AI, Mathematics, Statistics, Physics, Engineering) Strong Python skills with experience building machine learning models and scalable algorithms Proven experience working with large, complex datasets to optimise performance and decision-making Commercial experience applying data science in real-world environments , ideally within fast-paced ...

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 ...

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 ...

market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: Develop and enhance high-performance trading systems. Optimise execution algorithms for systematic trading. Contribute to research and simulation frameworks. Key Requirements Bachelor's degree in Computer Science or closely related field Interesting internship(s) within trading ...

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 ...

Model Selection and Training: Design appropriate training strategies (e.g., supervised learning, reinforcement learning) and appropriate configuring of model parameters. Design and select appropriate ML algorithms and architecture (LLM architecture (e.g., BERT, GPT-3) based on project requirements. - Evaluation and Optimization: Recommend the metrics and design reports used to evaluate ...

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 ...

relevant environment (systematic trading, HFT, or performance-critical systems) Strong proficiency in low-latency C++ development on Linux Solid understanding of data structures, algorithms, and system design Ability to work in a fast-paced, highly collaborative environment This opportunity offers a highly competitive compensation package and hybrid working model. ...

Strong proficiency in any OO language (they are agnostic) - (low-latency or systems-level experience preferred) Deep understanding of data structures, algorithms, and computer architecture Proven ability to tackle complex challenges with initiative and agility in high-pressure environments Apply now or reach out directly: hhandelman@hunterbond.com for more details ...

talks What they’re looking for Strong JavaScript or TypeScript fundamentals Experience working with Canvas, SVG, or other 2D graphics systems Solid grounding in algorithms, data structures, and software design Experience building complex systems — not just application-layer UI Exposure to a statically typed language (C++, Java, C#, Rust, etc. ...