1 to 25 of 72 Permanent Algorithms Jobs in London with Remote Work Options

issues and propose effective solutions. Ability and collaborate effectively with cross-functional teams. Understanding of microservices architectures and distributed systems Understanding of data structures, algorithms, and software design principles Experience building and maintaining large-scale software systems Knowledge of modern software engineering practices (CI/CD, containerization) Comfortable working independently more »

databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll be supported by a highly talented more »

solutions Nice to have and opportunities to learn: Experience working in an agile development team or on open-source development projects Experience with optimization, algorithms or related quantitative processes Experience with relational databases, SQL and Cassandra Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud Experience with DevOps and more »

functional teams to develop and implement advanced analytics solutions. Key Responsibilities: 1. Lead Data Science Projects: Design, develop, and deploy machine learning models and algorithms to solve complex business problems. Manage end-to-end data science projects, from data collection and pre-processing to model deployment and performance monitoring. Ensure more »

cloud computing, AWS preferred but Azure also fine You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're collaborative and have great communication skills You're degree educated, having achieved a 2.1 or above in Computer Science or similar technical discipline more »

integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. Stay up-to-date more »

Python, SQL. Strong AWS experience Knowledge of Data Structures and Databases Knowledge of data privacy laws and compliance requirements. Experience with Data Analytics/algorithms would be nice to have but training will be provided for the right candidate Excellent communication and collaboration abilities. Desirable Experience with Typescript Experience with more »

relevant experience) Client-facing experience in a professional setting 2+ years' experience in a technical role Experience in software development, including understanding data structures, algorithms, software design and core programming concepts. Key languages include C++, Python, JavaScript Linux experience, including shell-scripting Knowledge of relational databases and SQL Required Skills more »

models for avatars using audio, video, and text cues. Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code more »

You will need: Strong C/C++ programming language skills SQL experience Knowledge of Capital Markets and/or Interest rates Working exposure to algorithms and data structures Computer Science or similar type degree Apply now for an immediate interview in what is promised to be a fluid and quyick more »

will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of highly skilled Data Engineers and Data Scientists. You will be able to more »

side or sell-side) Back-end development expertise at least 4 years of working experience (2 years minimum experience in Golang) Strong data structures & algorithms knowledge Excellent communication and teamwork skills Bonus points for: Trading experience (digital assets or traditional) Cloud platforms (AWS, GCP, Azure) Containerization (Docker) & caching technologies (Redis more »

Linux OS/Systems Administration You have a good understanding of computer architecture, databases, real-time systems, distributed computing, OOP, Data Structures, Design Patterns, Algorithms You're collaborative with excellent English language communication skills You are degree educated, likely to MSc/PhD level - Computer Science or similar discipline Salary more »

skills/experience - 1-2 years+ commercial experience with Python, Django, React or Rust experience Strong understanding of OO principles, design patterns, data structures & algorithms Bachelors or Masters Degree in Computer Science or very similar, ideally from a top University Personality and genuine passion in technology Elite bonus culture and more »

stakeholders acrossthe business.It's an opportunity for embarking on interesting challenges at a global scale! Essential Skills (3 years): Python Azure ML and deploying algorithms in production environments SQL PowerBI Background in analysing financial information (credit risk/insurance/FX Rates/Commodity pricing) is a bonus Benefits: Flexible more »

and optimize Golang-based trading platform for ultimate performance. Develop innovative services aligned with core product and business needs. Leverage your strong data structures & algorithms knowledge to tackle complex challenges. Write clean, secure, and performant code that sets the bar for quality. The Ideal Candidate Proven back-end development expertise more »

building the world's most advanced Causal AI powered decision intelligence platform for Data Scientists. The platform leverages state of the art Causal AI algorithms and models to empower data scientists and decision-makers to go beyond correlation-based predictions and have a real impact on the most important decisions more »

in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team Qualifications Must have more »

Some experience around Objected Orientated programming Azure or AWS experience Data access methods (SQL, GraphQL, APIs) Beneficial Requirements Experience around data science tools and algorithms Manipulation technologies (e.g., WebSockets, Kafka, Spark) TensorFlow, Pandas, pySpark and scikit-learn would be great Salary up to £75K + 20% bonus and benefits package more »

engineer to drive the product expansion. Your Role: Develop data-intensive applications in Python. Experience with Django, Flask or FastAPI. Design, implement, and test algorithms and data models. Build and maintain data processing pipelines. Design and deploy backends for web/mobile products. Collaborate in a fast-paced agile environment. more »

will have the following skills/experience - • Between 1 – 8 years’ commercial experience within Python • Strong understanding of OO principles, design patterns, data structures & algorithms • Computer Science Degree or similar, ideally from a top University • Personality and genuine passion in technology! • (nice to have but not essential) Recently worked in more »

testing and evaluation of models to ensure high-quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks more »

requirements into scalable, efficient, and secure software solutions using the Python stack. Role and responsibilities: Write clean, maintainable, and efficient Python code to implement algorithms and models. Optimise performance and scalability of AI applications through code optimisation and parallelisation techniques. Develop and maintain scalable web applications using Django framework. Conduct more »

systems for high frequency trading and cryptocurrency exchange platforms. You'll be implementing and maintaining market data feed handlers, order entry systems and execution algorithms with a focus on reducing latency and ensuring the performance and reliability of trading systems. There are many complex technical challenges, you'll be collaborating more »