1 to 25 of 179 Remote Algorithms Jobs in London

and window functions) 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 ❯

predicting novel insights/hypotheses, and other ML techniques. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser More ❯

business problems. 3. Statistical & Mathematical Modelling and Machine Learning/AI Support the development ofpredictive models, to forecast trends and outcomes Support the development and implementation of machine learning algorithms to address specific business challenges Collaborate with the team to deploy, run, and maintain models in a production environment Evaluate and fine-tune model performance for optimal results. 4. Communication More ❯

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 ❯

trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deep learning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to communicate insights and solution More ❯

growth in their London office. In this role, you will join a highly creative, innovative and passionate team of engineers combining the power of Data Science, AI, ML optimization algorithms and automation to enhance human intelligence and solve business problems at scale. A hands-on, highly critical role, youll take on a varied project portfolio: from leading efforts to architect More ❯

ll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You'll More ❯

project updates to senior stakeholders Optimizing processes and methodologies on a continuous improvement basis Coaching and mentoring fellow team members Innovating with data to develop new analytic techniques and algorithms Ideal Experience Required Degree in Mathematics, Science, Computer Science or similar Minimum 5 years of work experience in data analytics Demonstrable experience of successfully delivering data analytics projects based on More ❯

building agentic workflows strongly preferred) Experience building/enhancing search and information retrieval systems Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. More ❯

Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers More ❯

SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and More ❯

SOLID, and their engineering standards Design relational and non-relational databases and data models Support the Data Science team in deploying machine learning models to production Leverage data structures, algorithms, and design patterns effectively Foster empathy and collaboration within the team and with customers Preferred Experience Degree in Computer Science or equivalent practical experience Commercial experience with Spark, Scala, and More ❯

in a fast-moving, collaborative team. What we're looking for Strrong Python (pandas, sklearn, etc.) and advanced SQL Experience building behavioural or credit models Solid understanding of ML algorithms (not just how to run them) Clear communicator across tech and non-tech teams Awareness of data drift and model monitoring Amazing visualization skills; ideas need to land Bachelor's More ❯

life and shape the future of AI. Key Responsibilities: Collaborate with product managers and stakeholders to define AI project objectives, requirements, and timelines Design, develop, and implement AI models, algorithms, and applications to solve complex business challenges End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI 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 ❯

on AI and automation• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations More ❯

on AI and automation• Proven experience building and launching AI-powered products and automations specifically within a performance media context. This includes hands-on experience with campaign optimization, bidding algorithms, audience segmentation, and reporting solutions• Deep understanding of AI/ML concepts and techniques, with practical experience in applying them to real-world marketing challenges• Experience building products and automations More ❯

in AML, financial crime, or a related domain Experience working with large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective communication More ❯

a good understanding of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You are degree educated in Computer Science or similar STEM discipline, having achieved 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 ❯

contribute their best work. About You About Us We're a unique blend of retail expertise built up from extensive industry experience; mathematical talent that builds and maintains sophisticated algorithms; and engineering skill that handles vast volumes of data regularly. W e combine leading-edge technology with cutting-edge thinking, to help you tackle today's mission-critical operational challenges More ❯

with strong statistical/mathematical component (e.g. Maths, Statistics, Data Science, Artificial Intelligence, Operations Research or equivalent) Proven track record of delivering high-impact machine learning models and developing algorithms that solve real-world challenges Experience programming in Python, SQL and using ML platforms and frameworks such as Sagemaker, MLflow, Seldon Core or similar Prior experience or interest in working More ❯

initiatives and reinforce the technical direction for solving hard technical problems. Become a go-to expert in one or more technical areas. Design, implement and deliver performant and scalable algorithms based on state-of-the-art machine learning and neural network methodologies using distributed computing systems (CPUs, GPUs, TPUs, Cloud, etc.). Conduct rigorous data analysis and statistical modelling to More ❯

break work down into smallest unit possible. Drive team to be a high-performance team. Data Plan, Design, and Implement scalable data pipelines. Develop and implement data models and algorithms to support data science and machine learning initiatives. Optimize data storage and retrieval systems for maximum performance. Continuously monitor and improve the performance of the data solutions to meet our More ❯

a good knowledge of analytics and Risk for one or more financial products You have a strong knowledge of Computer Science fundamentals such as OOP, Data Structures, Design Patterns, Algorithms You have experience within a similar financial trading systems environment You are collaborative with excellent communication skills You are degree educated in Computer Science or similar STEM discipline, having achieved More ❯