1 to 25 of 98 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 ...

Spark, Hadoop). Experience in consulting or client-facing roles , with ability to manage stakeholders and deliver strategic insights. Strong knowledge of machine learning algorithms , statistical modeling, and data visualization tools (Power BI, Tableau). Excellent communication and presentation skills. Preferred Qualifications: Master’s or Ph.D. in Data Science, Computer ...

systems integrate Exposure to cloud platforms like AWS, GCP, or Azure Familiarity with SQL or NoSQL databases Knowledge of computer science fundamentals (data structures, algorithms, system design) Writing clean, maintainable code and an interest in CI/CD , testing , or DevOps practices Strong communication and teamwork skills A growth mindset ...

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 ...

develop data-driven solutions. Assist in collecting, processing, and analyzing large datasets to extract actionable insights. Develop and implement machine learning models and algorithms to optimize HR operational processes. Conduct exploratory data analysis and visualize results using advanced tools and techniques. Support the deployment and maintenance of data science solutions ...

learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical ...

underlying mathematical foundations of statistics and machine learning. Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Can carry out data analyses to yield actionable business insights. Hands-on experience (typically 5+ years) designing, planning ...

above) in Computer Science, Mathematics, Physics, Engineering, or another quantitative discipline Curiosity about quantitative finance, markets, and data-driven decision making Solid understanding of algorithms, data structures, and software engineering principles Desire to learn, experiment, and solve complex technical problems Ability to communicate clearly and work effectively in a team ...

Engineering, or a related discipline (graduating between December 2025 and June 2026) Strong programming capability in C++ and Python Solid foundations in data structures, algorithms, and operating systems Comfortable working in Linux/Unix environments A strong focus on writing clean, efficient, and maintainable code Excellent analytical thinking and problem ...

have experience across the full software development lifecycle You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're excited to join a start-up in a role that you can shape and influence Please note you must be a UK citizen ...

roadmap. Qualifications Proven experience in software engineering, including proficiency in programming languages like Python. Strong knowledge of AI/ML technologies, data structures, and algorithms Hands-on experience with cloud-based platforms and infrastructure (e.g., AWS, Azure, Google Cloud) Familiarity with renewable energy industry, contract management, or financial analysis ...

another relevant STEM discipline. Proven experience in solving complex problems, ideally in data extraction and modelling. Comfortable solving problems at every level, from algorithms and data structures to system design. Expertise in Python. Experience of full-stack development. Ability to work independently as well as part of a collaborative team. ...

team work skills, with a results-oriented attitudeProficiency in problem solving and debuggingDesirable SkillsExperience of SKIA graphics libraryExperience designing and implementing GPU shader algorithms (in GLSL, HLSL or equivalent)Experience developing system software for Android OSExperience working on GPU DriversExperience designing and implementing image processing algorithmsExperience working with ...

their skills. Shape the architecture and technical direction of our products, balancing scalability with speed of delivery. Design and integrate AI models and algorithms that unlock insights from national connectivity data to tackle real-world challenges. Leverage unique datasets from Ofcom, Openreach, independent networks and ISPs to uncover problems that ...

quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills Machine Learning Expertise : Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning) Extensive experience with neural networks, including RNNs, LSTMs, Transformers Expertise in gradient boosting, random forests, and ensemble methods Experience ...

systems, and quantitative research 🧠 What We’re Looking For Strong programming skills in C#/.NET Solid grasp of computer science fundamentals (data structures, algorithms, design patterns) Analytical mindset with a genuine interest in finance and quantitative methods Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering ...

quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills Machine Learning Expertise : Deep understanding of ML algorithms (supervised/unsupervised learning, reinforcement learning) Extensive experience with neural networks, including RNNs, LSTMs, Transformers Expertise in gradient boosting, random forests, and ensemble methods Experience ...

include forecasting, recommendation systems and classification tools. Key Responsibilities Build ML and GenAI solutions in Python, using Databricks, Kafka and AWS Deploy and maintain algorithms in a microservices environment Lead on automation, monitoring, version control and MLOps best practice Support knowledge sharing across the ML and AI community Identify opportunities ...

realtime or batch) & data quality using modern toolchain (e.g., Apache Spark, Kafka, Airflow, dbt). Strong foundational knowledge of machine learning and deep learning algorithms, including deep neural networks, supervised/unsupervised learning, predictive analysis, and forecasting. Expert-level proficiency in Python, with a demonstrated ability to develop and debug ...

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 ...

Agile and Scrum environments Excellent written and spoken English Prior experience in the iGaming industry is essential Nice to Have Experience building or optimising algorithms Knowledge of Spring or Spring Boot SQL or relational database experience Familiarity with Git, Maven or similar tooling Understanding of CI pipelines Exposure to Docker ...

other types of data and develop Gen AI based solutions to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have ...

performance C++ software solutions.Translate mathematical and algorithmic models into efficient, production-quality code.Contribute to model-driven engineering, combining both autogenerated and manually written code.Validate algorithms through MATLAB/Simulink simulation.Design and maintain robust software architectures using UML modelling tools (e.g. IBM Rhapsody).Apply best practices in static analysis, clean coding ...

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 ...

Strong foundation in probability, statistics, and linear algebra. Solid intuition for ML/AI methods. Strong Python skills; ability to read C++. Knowledge of algorithms, data structures, and performance optimization. Comfortable with Linux/Unix, Git, and modern dev practices (tests, CI/CD, containers). Clear communicators who take ...