1 to 25 of 91 Permanent Algorithms Jobs in London

address challenges across multiple business domains. •Mine and process large structured and unstructured datasets to extract meaningful features and patterns. •Design, validate, and optimise algorithms and statistical models for predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining ...

proven track record of delivering commercial value through data science initiatives. Excellent Python and SQL skills. Solid understanding of statistical modelling and machine learning algorithms, and experience deploying and managing models in production. Data engineering skills, with the ability to manipulate and process data at scale. Curiosity to explore ...

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 ...

agile environment. Strong proficiency in Python (or similar modern Back End 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 ...

very well be the right place for you. The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for: Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk ...

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 ...

scalable backend systems and APIs Familiarity with cloud platforms (AWS, Azure, or GCP) Experience working with microservices architectures Strong understanding of data structures and algorithms Experience with CI/CD pipelines and modern engineering practices Excellent problem-solving and communication skills ...

financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

ensures the safe operation of AI-enabled robotics and autonomous systems within the product line. Key Responsibilities: Develop robotics software for autonomous systems. Support algorithms for perception, planning, control, and decision-making. Collaborate with cross-functional teams to integrate software into systems. Test and optimize robotics software to meet performance ...

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 ...

planning, control and decision‐making in complex autonomous platforms. You will: Design, develop and implement robotics software components within a core robotics product. Support algorithms and systems for perception, planning, control and decision‐making. Work closely with embedded software, systems and AI/ML engineers to integrate components into ...

professional experience in a technical support, SRE, or operations role within a fast‐paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high‐performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem‐solving ...

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 ...

/MSc/PhD in Computer Science, Machine Learning, Engineering, or related field 2+ years of industry experience Core Skills Solid understanding of algorithms, data structures, and computational complexity Proficiency in Python with clean, maintainable coding practices Familiarity with PyTorch and common scientific Python libraries Machine Learning Expertise Solid understanding ...

container orchestration. Advanced proficiency in Python and familiarity with AI and machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Strong understanding of algorithms, data structures, and software engineering principles. Experience in deploying AI models in a production environment. Proven ability to collaborate effectively with cross-functional teams and manage ...

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 ...

professional experience in a technical support, SRE, or operations role within a fast‐paced trading or financial environment. Proven aptitude for understanding complex algorithms, data structures, and software design principles relevant to high‐performance systems. Solid understanding of Linux operating system internals and networking concepts. Strong analytical and problem‐solving ...

outstanding academic background (Computer Science, Maths, Physics or similar) Demonstrate strong experience with C#/.NET Possess a solid foundation in data structures, algorithms, and system design Show evidence of technical curiosity and extracurricular projects Be motivated to work in a high-performance, collaborative environment Exposure to financial markets (bonds ...

insights and control strategies between simulation and real robots. Algorithm Testing and Data Analysis: Design and execute simulation-based tests to evaluate robotic algorithms and control systems, and analyze simulation data to gain insights and identify areas for improvement. Cross-Team Collaboration: Work closely with other engineers and researchers, especially ...

thrive? Undergraduate degree in statistical subject Considerable experience accessing and analysing data using SQL and Python Significant experience using commonly used regression and classification algorithms Experience (5+ yrs) working as a data scientist Expert in the process of building and implementing machine learning models to solve business problems Taken ...

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 ...