1 to 25 of 336 Algorithms Jobs in the South East

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps tools and frameworks (e.g., MLflow, Kubeflow, SageMaker, Vertex AI). Experience with data engineering concepts — ETL pipelines, data More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

ML instrumentation to extract insights and optimize the product experience. Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses. Build and scale machine learning algorithms and pipelines to production using big data technologies. Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications. Design and evaluate A/B tests and communicate results More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

paced, high-impact environment. Key Responsibilities of the Front Office Developer Install, upgrade, and support trading platforms for the Interest Rates Options desk. Design, develop, test, and document trading algorithms used across multiple desks. Automate options pricing and real-time risk processes for Front Office users. Build and maintain time-series databases , performing quantitative analysis on volatility and risk . More ❯

evaluation of AI/ML models for fraud detection Analyse complex datasets to identify patterns, anomalies, and insights Collaborate with developers and data scientists to validate results and refine algorithms Assist in developing blockchain use cases and understanding smart contract workflows Build dashboards, reports, or data visualisations to communicate findings to stakeholders Contribute to research into emerging technologies and their More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

Familiarity with API gateways, microservice architecture, and asynchronous messaging patterns (e.g., queues, event buses). Programming Proficiency: Strong experience with C# and .NET frameworks. Solid understanding of data structures, algorithms, and programming principles. Experience working with other relevant languages such as Python, JavaScript, or TypeScript. System Design: Ability to design and implement scalable software systems. Familiarity with distributed system patterns More ❯

Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service More ❯

Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service More ❯

Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux environments and command-line tools. Programming and ML Skills: Proficiency in Python, with a deep understanding of machine learning algorithms, deep learning, and generative models. Advanced AI Skills and Testing: Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch), hands-on experience in deploying AI/ML solutions as a service More ❯

of strong collaboration, share best practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM field Excellent communicator Self-directed More ❯

of strong collaboration, share best practice, propose improvement Point of contact with stakeholders and the NY team 8+ years of professional java experience Strong knowledge of data structures and algorithms SQL experience Knowledge of at least one scripting language (shell, python, perl etc.) Knowledge of network programming fundamentals Bachelors degree in Computer Science or STEM field Excellent communicator Self-directed More ❯

Strong command of Azure Cloud Services Deep experience with SQL Server and high-volume transactional systems Expertise in data architecture, performance optimisation , and scalable software design Solid understanding of algorithms, data structures, and computational complexity Bonus: Experience in FinTech or structured data environments with high reliability and scale Leadership Skills Visionary mindset with a hands-on engineering ethos Proven ability More ❯

set of technical and soft skills, as both are essential to perform in this role. • Programming Proficiency: •Strong experience with C# and .NET frameworks. •Solid understanding of data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines More ❯

set of technical and soft skills, as both are essential to perform in this role. • Programming Proficiency: •Strong experience with C# and .NET frameworks. •Solid understanding of data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines More ❯

set of technical and soft skills, as both are essential to perform in this role. • Programming Proficiency: •Strong experience with C# and .NET frameworks. •Solid understanding of data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines More ❯

strategies. If you are an individual with experience in informatics, data science, statistics or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Develop dashboards and web applications to enable Medpace teams' access to, and interpretation of, clinical operations data; Translate the results of feasibility research and analysis More ❯

questions of the data and results to root out model weaknesses Demonstrate strong proficiency for writing, testing, and debugging Python code, capable of solving programming problems such as basic algorithms and data structure manipulations Have experience gathering business requirements and translating them into technical solutions Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible More ❯

data from various sources, transform it into the desired format, and load it into the appropriate data storage systems Collaborates with data scientists and analysts to optimize models and algorithms for data quality, security, and governance Integrates data from different sources, including databases, data warehouses, APIs, and external systems Ensures data consistency and integrity during the integration process, performing data … and augmentation of human performance Works with board members and other executives to establish the vision for managing data as a business asset Establishes the governance of data and algorithms used for analysis, analytical applications, and automated decision making Skills and Experience Required A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field More ❯

a Quantitative Developer within a hedge fund, prop trading, or systematic trading environment. Strong programming expertise in Python (C++ or Java also advantageous). Excellent understanding of data structures, algorithms, and numerical computing. Experience with time-series data, backtesting, and quantitative research workflows. Familiarity with financial markets and trading systems. Strong communication skills with the ability to collaborate across research More ❯