876 to 900 of 4,679 Remote Python Jobs

Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical More ❯

Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical More ❯

Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical More ❯

Science, Data Science, Engineering, Mathematics, or a related discipline Demonstrated project experience (academic research, dissertation work, or personal projects) applying machine learning or AI techniques Strong programming skills in Python (e.g. PyTorch, TensorFlow, scikit-learn, pandas, NumPy) Familiarity with cloud platforms (AWS, Azure, or GCP) and basic distributed systems concepts Strong problem-solving mindset with a passion for building practical More ❯

in Computer Science, Software Engineering, Electronic Engineering, Mathematics, Physics, or a related field. Enthusiasm for technology and software development. Technical Skills Strong programming fundamentals in languages such as JavaScript, Python, Java, or C/C++. Familiarity with web technologies (HTML, CSS, JavaScript) and Git. Experience with frontend frameworks (React, Vue) or backend technologies , REST APIs). Personal Qualities Curiosity, resilience More ❯

in Computer Science, Software Engineering, Electronic Engineering, Mathematics, Physics, or a related field. Enthusiasm for technology and software development. Technical Skills Strong programming fundamentals in languages such as JavaScript, Python, Java, or C/C++. Familiarity with web technologies (HTML, CSS, JavaScript) and Git. Experience with frontend frameworks (React, Vue) or backend technologies , REST APIs). Personal Qualities Curiosity, resilience More ❯

Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership More ❯

Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership More ❯

GIT, CI/CD pipelines and AzureDevOps. Well versed with programming tools like VS Code or other code editors. Development experience enterprise grade products – scalability, performance, security, testing. Desirable: Python or C# is desirable. Modern JavaScript front-end frameworks such as React, Angular or Vue is useful, though not essential. Terraform templates, swagger. BENEFITS Competitive Salary. Company Laptop supplied. Bonus More ❯

of asset classes. Ideal Profile Hands-on experience in market data production support (L1–L3) within a trading or financial environment. Strong scripting and automation skills, ideally using Java (Python or similar languages a plus). Proven ability to debug and analyze complex distributed systems. Solid understanding of financial market data and how electronic trading systems operate. Experience with Linux More ❯

of asset classes. Ideal Profile Hands-on experience in market data production support (L1–L3) within a trading or financial environment. Strong scripting and automation skills, ideally using Java (Python or similar languages a plus). Proven ability to debug and analyze complex distributed systems. Solid understanding of financial market data and how electronic trading systems operate. Experience with Linux More ❯

and are most excited by candidates who are passionate about learning new things, at Gemba we work with technologies such as: High level solution languages such as Java, TypeScript, Python, and Go Web libraries and frameworks such as React and Angular Designing, building, and maintaining CI/CD pipelines Big data technologies, such as NiFi, Hadoop, Spark Cloud and containerization More ❯

of asset classes. Ideal Profile Hands-on experience in market data production support (L1–L3) within a trading or financial environment. Strong scripting and automation skills, ideally using Java (Python or similar languages a plus). Proven ability to debug and analyze complex distributed systems. Solid understanding of financial market data and how electronic trading systems operate. Experience with Linux More ❯

of asset classes. Ideal Profile Hands-on experience in market data production support (L1–L3) within a trading or financial environment. Strong scripting and automation skills, ideally using Java (Python or similar languages a plus). Proven ability to debug and analyze complex distributed systems. Solid understanding of financial market data and how electronic trading systems operate. Experience with Linux More ❯

of asset classes. Ideal Profile Hands-on experience in market data production support (L1–L3) within a trading or financial environment. Strong scripting and automation skills, ideally using Java (Python or similar languages a plus). Proven ability to debug and analyze complex distributed systems. Solid understanding of financial market data and how electronic trading systems operate. Experience with Linux More ❯

adapt and self-evaluate along the way They will be also technically experienced in some of the following areas: SOLID Design Principles and Design Patterns Cloud platforms (AWS preferable) Python, Java or Typescript Networking: VPN, VPC, ELB - Elastic Beanstalk Compute: EC2, Lambda, AppSync Storage: S3, EBS & Disaster Recovery Data: DynamoDB, RDS, ElastiCache & SQL DevOps: CI/CD - CloudFormation, Github & GitHub More ❯

Familiarity with managing cloud-based services (ideally Azure), including observability, monitoring, scaling, and security Hands-on use of observability tools such as Datadog (or similar) Knowledge of automation, scripting (Python or PowerShell), and Infrastructure as Code (e.g., Terraform, Pulumi, ARM Templates, or Bicep) Experience with Azure DevOps Pipelines (or similar) Strong interpersonal, verbal, and written communication skills Ability to coach More ❯

Kubernetes Services, Docker) • Serverless (Azure Functions, Azure Search) • Messaging (AMQP, Kafka, HTTP) • Testing (xUnit) • Databases (SQL Server, Azure Cosmos DB) • Monitoring (Grafana Stack) • CI/CD (Azure DevOps) • Scripting (Python) • Distributed Systems (Microsoft Orleans) • Cloud (Azure) • Web Development (Typescript/React/ASP.NET Core) Ok, so that’s the formal part but what will you really get involved with? Small More ❯

collaboration, experimentation, and continuous learning. To be successful, you'll bring: Proven experience as a Data Scientist, ideally within customer analytics, marketing, or CRM environments. Strong coding skills in Python, with deep familiarity across ML and data libraries (pandas, numpy, scipy, scikit-learn, tensorflow, pytorch). A broad understanding of machine learning and statistical methods, including NLP, deep learning, Bayesian More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯

data offering. Essential Skills & Experience Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯

maintain scalable pipelines and services to support real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Qualifications Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding More ❯

required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/CD More ❯