1 to 25 of 172 Remote Algorithms Jobs in England

efficiently to meet operational and analytical needs. Advanced Data Analytics: Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. Develop algorithms and tools for geospatial analysis, pattern recognition, anomaly detection, and predictive modeling using machine learning techniques. Real-Time Data Processing: Build real-time or near-real-time data processing systems More ❯

building streaming data processing and ingestion pipelines Experience building distributed data processing systems which handle a high volume of client queries Strong knowledge of object oriented programming, data structures, algorithms and design patterns Prior experience building systems used by multiple technical and non-technical teams Over 6 years' experience in Financial industry About Goldman Sachs At Goldman Sachs, we commit More ❯

knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an impact and lead on More ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git) and software More ❯

libraries such as pandas and scikit-learn SQL: Proficient in SQL, particularly with cloud data warehouses like Snowflake Statistical Methodology: In-depth knowledge of GLMs and other machine learning algorithms Data Tools: Familiarity with cloud-based data platforms (we're on AWS) and data visualisation tools (Looker, matplotlib, seaborn) Software Engineering: Experience with version control systems (e.g., Git), CI/ More ❯

occasional travel to client sites and company events. What You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor More ❯

channel that only publishes visa sponsorship jobs. Duties & Responsibilities: A keen eye for detail Innovative approaches to problem-solving Outstanding communication skills in words Understanding of data structures and algorithms Familiarity in programming languages like Python, C/C++, Java, and others Familiarity with GITHub Perseverance in resolving an issue Capacity to operate autonomously and efficiently multitask Flexibility in attitude More ❯

large scientific calculations. Familiarity with parallel programming concepts - both threading and MPI style parallelism. An understanding of software development life cycles. An interest in processing technologies: software, hardware, and algorithms together with their use and application. Experience of using debuggers and performance analysis tools would be advantageous. Knowledge of open-source software. Experience of working in Unix/Linux environment. More ❯

engineers and contribute to setting technical standards for the team. Required Qualifications Proven experience as a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI More ❯

be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive More ❯

software engineering best practices and 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 What's in it for you: As a Software Engineer/Developer you More ❯

on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem-solving, and analysis skills Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote More ❯

You've got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science libraries such as pandas More ❯

context, and risk. About the Role As a Senior Data Scientist, you'll help define the future of behaviour-based insurance. You'll own the development of features and algorithms that detect driving patterns from sensors, test new hypotheses, and bring the most impactful insights into production. You'll work at the intersection of data science and engineering, generating scalable More ❯

integrate models into user-facing applications. Stay up to date with the latest in GenAI research and help shape internal best practices. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal More ❯

/data libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow or PyTorch). Hands-on experience with Amazon SageMaker , including training, tuning, and deploying models. Solid understanding of machine learning algorithms and statistical methods. Experience with cloud platforms (AWS preferred). Familiarity with CI/CD practices and version control (Git). Excellent problem-solving and communication skills. Nice to Have More ❯

AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or More ❯

AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or More ❯

to use C# going forward) You have a strong knowledge of SQL databases You have a thorough understanding of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You're entrepreneurial with good business acumen, keen to take ownership and lead projects You're collaborative, enjoy problem solving and sharing ideas What's in it for you: As More ❯

market competition. This includes ensuring consistency across pricing mechanisms and contributing to IT transformation projects that enhance pricing systems and automation capabilities. The role requires ongoing monitoring of pricing algorithms, scenario planning to assess impacts on revenue and profitability, and reviewing mechanisms to adapt to variables such as commodities, FX, and transport costs. It emphasises data analysis to uncover pricing More ❯

in another language and are keen to work in Python) and a proven track record of building and maintaining backend systems Strong understanding of Python fundamentals, including data structures, algorithms, and object-oriented programming. Excellent problem-solving skills and ability to work independently on assigned tasks. Familiarity with version control systems (e.g., Git). Basic knowledge of testing frameworks and More ❯

to enable representing Users and Experiences in a common latent space with application across multiple downstream tasks like Search, Ranking, Notifications etc. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal More ❯

a variety of Recsys modalities using a modern tech stack with a freedom to explore modelling approaches to find the optimal solution. Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency. Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal More ❯

analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using a variety of algorithms (GLM, GBM, Random Forest, Neural Networks etc.) and assess the relative strength of each model Identify which factors are relevant and predictive and should be included in the model build More ❯

with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions. Key Skills Proficiency in Python, TensorFlow, or PyTorch Experience with machine learning algorithms and frameworks Strong understanding of data pre-processing, feature engineering, and model evaluation Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings Knowledge of natural language More ❯