Greater London, England, United Kingdom Hybrid / WFH Options
Oxford Economics
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 »
in development with Java, springboot, REST APIs Experience with microservice architectures (SOA) Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization Proficiency with algorithms, data structures and software design Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking Proven to work independently in a fast paced 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 »
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 »
of the following areas of Natural Language Processing, Image Processing, Video Processing, Voice Processing and Watson technologies. Strong fundamentals in Mathematics and Computer Science (algorithms). You’re proficient at least one of the statistical programming language such as R, Python, Scala or SAS, SPSS, Matlab. You have a basic more »
London, England, United Kingdom Hybrid / WFH Options
Client Server
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 »
industry through our cloud platform. Utilising a microservice architecture we continue to integrate and deploy mathematical optimisation modules, machine learning solutions and geometric manipulation algorithms through our flexible software pipeline. Working closely with our clients, some of the biggest players in their industries, we revolutionise the user experience and automation more »
developers and project managers Experience with or willingness to learn agile methodologies (Kanban, SCRUM, XP), modern software development environments and DevOps practices Experience with algorithms, data structures, complexity analysis, and software design Travel up to 10% What Will Help You On The Job Familiarity with running software services at scale more »
theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL more »
Lead the selection and application of the most appropriate data science methodologies for each use case. This may range from developing complex machine learning algorithms to designing data structures, labels and labeling protocols for effective implementation of the data-driven solutions.Strategic Development: Coordinate between domain experts, product managers and engineers more »
senior member of the team. Responsibilities: Build machine learning models utilising CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. Working with a team of highly skilled Data Engineers and Data Scientists. You have ownership and lead exciting projects, driving more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
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 »
quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. Mentor and guide junior more »
field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication and collaboration abilities to more »
GUIs, and other infrastructure and applications dedicated to maintaining the Cluster, such as SQL databases and Python scripts. Requirements Excellent Computer Science Fundamentals (i.e. Algorithms & Data Structures) ideally backed up by a strong Undergraduate degree. Proficiency in at least one statically typed language – especially Golang and/or Rust. Ideally more »
in-house product. . Collaborate with cross-functional teams to design, prototype, and deploy computer vision solutions. . Optimize and improve existing computer vision algorithms for performance and accuracy. . Integrate and manage computer vision pipelines using AWS Cloud services. . Utilize ROS 2 for developing and managing robotic systems. more »
or equivalent suitable qualification/experience.5 years of combined experience with software development in one or more programming languages. Experience with data structures/algorithms, building Data Platforms, Data-lake and Business Intelligence solutions.Experience as a data engineer: implementing data pipelines (using PySpark, Spark SQL, Scala, etc), orchestration tools/ more »
returns. About the role The successful quantitative researcher candidate will join the London solutions team, developing mathematical, statistical, and AI models and high-performance algorithms to predict the outcome of sporting events with a predominant focus on horse racing. You will work on: Developing outcome-oriented trading strategies and statistically 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 »
biological research. You will also leverage large language models (LLMs) to enhance data analysis and interpretation. Key Responsibilities: Develop and apply bioinformatics pipelines and algorithms to analyze high-throughput sequencing data. Perform data mining, integration, and visualization of large-scale biological datasets. Utilize large language models (LLMs) to assist in more »
City of London, London, United Kingdom Hybrid / WFH Options
Job Heron
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 »
with Python, Azure, Power BI and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical more »
including Azure Open AI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience more »
problem formulation to implementation and deployment. You'll communicate effectively with stakeholders and form strong business relationships, leveraging predictive modelling, segmentation techniques and AI algorithms to unlock valuable insights. Responsibilities Spearhead projects with cross functional leaders Use models like regression and propensity models, time-series, ensemble methods and neural networks more »
datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability, and enhance operational efficiency. Big Data Management: Utilise big data technologies to process and analyse vast amounts of more »
