1,351 to 1,375 of 6,868 Permanent Python Jobs

Support the production environment and ensure smooth data operations. Manage relationships with external data providers and ensure alignment with business needs. What You’ll Need Strong programming skills in Python and solid experience working in Unix/Linux environments. Advanced SQL skills and good knowledge of NoSQL systems (e.g. Postgres, MongoDB), including performance tuning. Understanding of data modelling concepts, including More ❯

Support the production environment and ensure smooth data operations. Manage relationships with external data providers and ensure alignment with business needs. What You’ll Need Strong programming skills in Python and solid experience working in Unix/Linux environments. Advanced SQL skills and good knowledge of NoSQL systems (e.g. Postgres, MongoDB), including performance tuning. Understanding of data modelling concepts, including More ❯

IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands-on experience managing Linux environments and scripting (Python, Bash, or Shell). Deep understanding of cloud networking, IAM roles, and security governance. Experience with monitoring and logging (e.g., CloudWatch, Grafana). Why Join Us Work on high-impact More ❯

IAM, Redshift, etc.). Strong background in Terraform for infrastructure as code. Expertise in CI/CD automation using GitHub Actions. Hands-on experience managing Linux environments and scripting (Python, Bash, or Shell). Deep understanding of cloud networking, IAM roles, and security governance. Experience with monitoring and logging (e.g., CloudWatch, Grafana). Why Join Us Work on high-impact More ❯

CloudWatch, IAM, Glue, and related orchestration tools Proven experience deploying GPU-accelerated models in production. Solid understanding of ML model lifecycle management, including versioning, packaging, and scaling. Competence in Python and experience with frameworks such as FastAPI or Flask for serving models. Strong understanding of CI/CD, infrastructure as code, and DevOps principles. Desirable Skills AWS Certified (Solutions Architect More ❯

development standards, and best practice. Skills & Experience: Hands-on experience with Azure data services such as Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, and Purview. Strong Python and SQL skills for transformation and pipeline development. Solid understanding of Azure data storage/warehouse technologies including SQL MI and Synapse. Familiar with DevOps ways of working, including CI More ❯

be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products. You will be working in a collaborative and inclusive fast-paced environment that leverages agile approaches to deliver solutions quickly. You will work directly More ❯

solve hard problems, and build with purpose. Required Skills Degree in Computer Science, Engineering, or a related technical or scientific field Strong programming ability in C++ , Rust , Java , or Python Curiosity, discipline, and a willingness to learn across domains Useful Experience (Not Required) Docker, Kubernetes, or containerised environments PostgreSQL or other SQL databases Embedded or resource-constrained systems Machine learning More ❯

performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives across the organisation What We’re Looking For 🚀 2–5 years of commercial experience in AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms More ❯

performance, reliability, and accuracy ✅ Contribute to digital transformation initiatives across the organisation What We’re Looking For 🚀 2–5 years of commercial experience in AI/ML engineering 💻 Strong Python skills (plus SQL and experience with modern ML frameworks) 🏦 Background in financial services, banking, or fintech 📊 Experience building production-grade AI systems (MLflow, Airflow, FastAPI, etc.) ☁️ Familiarity with cloud platforms More ❯

Engineering, or a related field. Minimum 10 years in data engineering, data architecture, or a similar role, with at least 3 years in a lead capacity. Proficient in SQL, Python, and big data processing frameworks (e.g., Spark, Flink). Strong experience with cloud platforms (AWS, Azure, GCP) and related data services. Hands-on experience with data warehousing tools (e.g., Snowflake More ❯

systems administration IT infrastructure management: Active Directory, Microsoft services, networking, and on-prem systems Security, compliance, and disaster recovery in cloud and hybrid environments Strong scripting and automation skills (Python, Bash, or similar More ❯

systems administration IT infrastructure management: Active Directory, Microsoft services, networking, and on-prem systems Security, compliance, and disaster recovery in cloud and hybrid environments Strong scripting and automation skills (Python, Bash, or similar More ❯

Proficiency in cloud-native technologies such as containerization and Kubernetes Strong knowledge of DevOps tools (Terraform, Ansible, ArgoCD, GitOps, etc.) Proficiency in software development using Rust (ideally), Java, or Python Experience with Solution Architecture and designing enterprise-grade data platforms Understanding of networking, security, and access controls in on-premenvironments. Fluent English skills More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar More ❯

and trust Mentor engineers and promote a clean, modern engineering culture Experience Required At least three years of experience in data engineering or cloud platform development Strong SQL and Python Familiarity with DevOps principles and CI and CD tooling Experience deploying and supporting productionised ML models Strong understanding of data modelling, orchestration and workflow tools A proactive mindset with a More ❯

and trust Mentor engineers and promote a clean, modern engineering culture Experience Required At least three years of experience in data engineering or cloud platform development Strong SQL and Python Familiarity with DevOps principles and CI and CD tooling Experience deploying and supporting productionised ML models Strong understanding of data modelling, orchestration and workflow tools A proactive mindset with a 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 ❯

Key Experience: Lead design sessions, run customer workshops, and present technical solutions. Design and optimise automated solutions across multi-cloud/hybrid environments (AWS, Azure, or GCP) . Build Python -based integrations and tooling to boost efficiency. Develop and maintain APIs (REST, GraphQL, NETCONF, gRPC). Lead design sessions, run customer workshops, and present technical solutions. Bonus: experience with CI More ❯

or a related field. 10-15 years of experience in data engineering or a related field. Extensive experience with Databricks and Apache Spark. Proficiency in programming languages such as Python Strong knowledge of SQL and experience with relational databases. Experience with cloud platforms Especially in Azure Strong with data warehousing solutions (e.g., Delta Lake, Lakehouse) Understanding of data governance and More ❯

understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.). Hands-on experience with frameworks such as TensorFlow , PyTorch , or scikit-learn . Proficiency in Python and familiarity with common data science libraries (NumPy, pandas, etc.). Solid grasp of statistics, linear algebra, and probability. Excellent problem-solving skills and ability to communicate complex ideas clearly. More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯

public cloud platforms such as AWS, Azure, or Google Cloud. Knowledge of networking, storage solutions, and Active Directory in cloud environments. Experience with automation tools (Terraform, Ansible, PowerShell, or Python). Understanding of IT security best practices, identity management, and compliance. Strong troubleshooting skills and ability to work in a fast-paced environment. More ❯