1 to 25 of 382 Contract Python Jobs

Kubeflow, Seldon Core) and an understanding of the ML lifecycle. o Understanding of the unique security vulnerabilities associated with AI/ML systems. Programming & Scripting: Strong scripting skills in Python and/or Bash. Ability to write automation scripts and understand data science code for security reviews. Financial Sector Compliance: Familiarity with financial industry regulations and standards (e.g., GDPR, PCI More ❯

Scientist, with a proven track record of building and deploying ML models in a financial services environment (Banking, FinTech, Insurance, or related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of More ❯

Contract Role – Python 3D visualization Engineer – England/Remote – 3 months initially – Inside IR35 PAYE We are seeking a skilled Python 3D visualization Engineer. This role is focused on building a cutting-edge interactive user-facing demo that bridges science and AI through advanced front-end engineering and visualization technology. This role will integrate AI model output data to create … collaboration with the research and design teams over a span of three months, with the possibility of extension for future projects within a similar domain. Role Overview: Job Title: Python 3D visualization Engineer Location: England/Remote Contract Type: Contract Duration: 3 months+ Rate: £40- 47.79 per hour PAYE 3D visualization tools - web GL ,3 JS or any other tools … Python - Model is developed in this language. React Experience in software design and development, with 5+ years experience in Python, Python backend and APIs, and web frameworks Expertise in front-end web development, including advanced experience with WebGL, React, GraphQL, Relay and familiarity with stylex, flow and similar tools Experience in back-end web development, including advanced experience with Python More ❯

and Harness Experience with Linux System Administration Understanding of high-availability, disaster-recovery, monitoring and logging at scale Deep hands-on Java (plus Spring framework). Nice to have: Python and Node.js Skills and Experience Consulting experience, preferably with major IT consulting Docker (DCA) or Kubernetes (CKAD) certification a plus Highly articulate with good communication skills across diverse groups, including More ❯

within the CI/CD pipeline using tools like Jenkins, GitLab, and Ansible is vital. Knowledge of secure coding practices and common developer pitfalls. Scripting for testing/automation (Python, Bash, Go). Experience with cloud-native architectures (Docker, Kubernetes, IaC). Knowledge of securing cloud platforms (AWS, Azure, GCP) and understanding cloud security best practices. Effective communication and collaboration More ❯

with Infrastructure as Code tools (Terraform, Ansible, etc.). 2. Minimum 3 + year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding More ❯

to facilitate successful integrations Staying current with industry trends and applying new techniques to enhance integration capabilities What you'll bring: Proven experience in software integration, with skills in Python, C, Powershell, and CI/CD pipelines Strong knowledge of architectural patterns such as SOA, Microservices, ESB, and API design Expertise in designing and implementing integration solutions for COTS and More ❯

Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing More ❯

curiosity, enthusiasm, and problem-solving ability than ticking every box. However, experience in any of the following areas would be advantageous: Software development in web technologies or OOP (e.g., Python, Java, etc.) Database tech: Oracle SQL, PostgreSQL, MongoDB Proficient with Linux/Windows command line (Bash, PowerShell) Monitoring: Grafana, Prometheus, ELK, Splunk Agile working and tooling (e.g., Jira, Confluence) Diagnosing More ❯

Cost Management, tagging strategies, and budget controls. Extensive experience managing Databricks as a platform, including Unity Catalog, identity federation, cluster policies, workspace management, and automation. Strong scripting skills (e.g., Python, PowerShell, Bash) and comfort working with APIs and automation tools. Excellent problem-solving and communication skills; ability to work cross-functionally with security, data, and DevOps teams. Nice to Have More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

code). Experience with CI/CD pipelines (eg, GitLab CI, Jenkins, GitHub Actions, or AWS CodePipeline). Knowledge of containerisation (Docker, ECS, or Kubernetes). Scripting skills in Python , Bash , or PowerShell . Strong understanding of networking , IAM , security groups , and VPCs in AWS. Experience working within Agile and DevSecOps delivery environments. More ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and More ❯

tooling Working hands-on with IaaS, CI/CD pipelines, and containerised environments What you bring: Deep Linux expertise and fluency in at least one high-level programming language (Python preferred) Strong experience with AWS (VPCs, EC2, ECS/EKS, RDS, S3, etc.) Solid understanding of database systems (Postgres, SQL Server) IaC mastery (Terraform, CloudFormation, Ansible) Passion for monitoring and More ❯

designing and optimising prompts for LLMs such as ChatGPT, Claude, Gemini, or Perplexity. Strong understanding of generative AI principles, prompt chaining, context window management, and token efficiency. Proficiency in Python and experience with AI/ML frameworks like TensorFlow, PyTorch, or Hugging Face. Experience integrating AI into enterprise platforms such as DealCloud, Salesforce, or similar CRMs. Understanding of workflow automation More ❯

their workflows and deliver high-impact platform solutions. Champion operational reliability: Proactively monitor system performance, automate incident response, and strengthen platform resilience. What You'll Bring Strong proficiency in Python (or a similar high-level language) with a deep understanding of software engineering best practices - testing, automation, clean code, and CI/CD. Proven track record building and maintaining scalable More ❯

Essential Skills for the Senior Data Engineer: Proficient with Databricks and Apache Spark, including performance tuning and advanced concepts such as Delta Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing More ❯

Mentorship and culture: Support the growth of peers through knowledge sharing and by championing engineering best practices. YOUR SKILLS AND EXPERIENCE The successful candidate will have: Strong experience in Python and a solid foundation in software engineering best practices (testing, CI/CD, automation). Proven track record of designing, building, and scaling data platforms in production environments. Hands-on More ❯

and implementing end-to-end CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions) and configuring Git runners for private cloud deployments. Scripting: Proficiency in scripting languages (e.g., Python, Bash, PowerShell) for developing automation glue logic and utility scripts. Analytical Skills: Excellent ability to analyze complex technical problems, map out process flows (e.g., using BPMN or flow charts), and More ❯

with Infrastructure as Code tools (Terraform, Ansible, etc.). 2. Minimum 3 + year hands-on experience with OpenShift Virtualization and Kubernetes. 3. Proficiency in scripting languages (e.g., Bash, Python) for automation tasks. 4. Knowledge of cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. 5. Familiarity with CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). 6. Strong understanding More ❯

of Docker and Kubernetes (ECS/EKS). Continuous Integration/Delivery: Skilled in managing CI/CD pipelines using Jenkins and GitHub Actions. Programming: Working knowledge of Go, Python, and JavaScript for automation and tooling. Responsibilities: Lead the development and operational support of secure, scalable web services. Champion automation across deployment, configuration, and monitoring processes. Govern and optimise multi More ❯

regular updates on progress, risks, and issues * Troubleshoot and resolve operational issues promptly * Pursue certifications to enhance software engineering skills Candidate Profile * Familiarity with the insurance industry * Proficiency in Python for traditional data science * Experience with generative AI tools, especially Gemini * Knowledge of cloud platforms such as Azure or GCP * Ability to interpret technical design documentation * Strong communication skills across More ❯

regular updates on progress, risks, and issues* Troubleshoot and resolve operational issues promptly* Pursue certifications to enhance software engineering skills Candidate Profile* Familiarity with the insurance industry* Proficiency in Python for traditional data science* Experience with generative AI tools, especially Gemini* Knowledge of cloud platforms such as Azure or GCP* Ability to interpret technical design documentation* Strong communication skills across More ❯

and X, driving strategy, support, and insights to optimize integration and documentation Proven skills and experience to help you succeed in this role: Proficient in AWS (ECS, ECR, Fargate), Python, Node.js, and Docker Skilled in infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines using Azure DevOps Strong grasp of distributed systems, API security (OAuth, API keys, JWT), and More ❯