1 to 25 of 95 Permanent Algorithms Jobs in London

models into commercial software architectures and ensure compliance with GDPR and security standards Excellent analytical and problem-solving skills; capable of designing and validating algorithms Strong communication skills, stakeholder engagement, and technical reporting Experience with Generative AI Retrieval-Augmented Generation, and cloud deployment Familiarity with financial data structures ...

into machine learning solutions • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required • Identify opportunities to improve algorithms, data pipelines, and system performance • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python ...

degree in Computer Science, Software Engineering, or equivalent practical experience. Professional software engineering experience with strong proficiency in Java. Solid understanding of data structures, algorithms, and object‐oriented design. Experience with microservices, APIs, GitHub/CI‐CD, testing practices, Linux‐based systems, and AWS. Strong problem‐solving and communication skills ...

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 ...

prototype system for analytical use Collaborating with data scientists and developers to integrate models into a working product Building and testing algorithms for data processing, pattern recognition and automation Conducting research on emerging AI techniques and suggesting ways to enhance performance Assisting in documenting and presenting development progress to internal ...

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 ...

from our data assets and maximise customer value. What you’ll do Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms: work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve ...

LangChain, LlamaIndex), and their application in enterprise environments is a must. This must be underpinned by a profound understanding of core machine learning principles, algorithms, and data science methodologies.* Full Lifecycle Ownership: Extensive hands-on experience and technical authority throughout the entire software development lifecycle, from conceptualization and design ...

/Linux and Windows environments Strong understanding of agile software development methodologies Solid grasp of fundamental software engineering principles including object-oriented design, databases, algorithms, and data structures Excellent design and problem-solving skills with experience providing architectural guidance Motivation to acquire knowledge of the financial sector (understanding of derivatives ...

marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear and engaging manner, making data ...

Innovation Factory London, UK Qualifications Bachelor’s degree or equivalent practical experience. 8 years of experience in software development and with data structures/algorithms in either C, C++, Python, Java or Go. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing ...

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 ...

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 ...

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 ...

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 ...

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 ...

delivering low-latency, performance-sensitive systems on Linux - production code where determinism, throughput, and tail latency matter Strong computer science fundamentals: data structures, algorithms, concurrency, performance optimisation Demonstrable ability to design software architecture and make sound technical trade-offs Strong debugging and profiling skills (perf, valgrind, sanitizers, flame graphs ...

What You'll Be Doing Lead technical project delivery and shape data science strategy across multiple client engagements Define and implement bespoke machine learning algorithms to solve real-world defence problems Guide technical scoping and planning, working closely with stakeholders to ensure feasibility and impact Mentor and support other data ...

them secure highly sought after skill sets. Key words: Data Scientist, Algorithm Developer, Equity Research, Investments, Quantitative Research, Bayesian Statistics, Mathematics, Computer Science, Analytical Algorithms, Python. C++, Monte Carlo. ...

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 ...

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 ...