1 to 25 of 34 Algorithms Jobs in Central London

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 ...

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 ...

graduation C++ in financial markets , ideally in high-performance, low-latency environments. Strong background in multi-threaded, asynchronous, and distributed systems. Deep knowledge of algorithms, data structures, and performance optimisation. Understanding of the full exchange-traded derivatives life cycle. Strong Scripting & automation skills (Python, PowerShell, C#, SQL, etc.). Proven ...

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 ...

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 ...

tier degree from a highly reputed university in a STEM discipline (Computer Science or Mathematics strongly preferred) Outstanding fundamentals in data structures, algorithms, probability, and statistics Strong programming ability in a modern language such as Python or C++ Demonstrated passion for technology through personal projects, hackathons, meet-ups, or research ...

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 ...

model training strategies. · Designing and implementing machine learning models, with a focus on both supervised and unsupervised learning techniques. · Exploring and implementing reinforcement learning algorithms, with a preference for experience in multi-agent environments. · Developing and integrating physics or engineering models into simulation environments to enhance realism and accuracy. · Applying ...

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 ...

initiatives , driving improvements across search, machine learning models, and AI-driven workflows. Responsibilities include: • Improving search performance (precision and recall) • Optimising search algorithms to deliver fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ...

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. ...

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 ...

apply ML methods in practical projects, not only coursework Strong Python skills Experience with PyTorch and/or TensorFlow Solid understanding of data structures, algorithms and computational efficiency Strong interest or experience in simulation environments, modelling or system-level thinking Strong problem-solving ability and evidence of building real-world ...

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 ...

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 ...

international team. What you'll own Vision and roadmap for search and discovery across the platform AI/ML-driven personalisation, dynamic feeds, ranking algorithms and recommendations Merchandising tools for curated collections, campaigns and partner promotions Discovery metrics and experimentation to continuously improve content findability Mentoring junior PMs and collaborating ...

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 ...

Risk & PnL engine, they require a candidate with: 5+ years experience working commercially with C++ Familiarity with Python. Proven experience implementing high-performance algorithms and large-scale grid computations. In return the company offers a base of circa 130k and fantastic bonuses too. ...

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 ...