1 to 25 of 359 Contract Python Jobs in the UK

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 ❯

Azure Infrastructure as Code using Terraform and Ansible CI/CD pipeline development with GitLab CI, Jenkins, or GitHub Actions Containerisation and orchestration using Docker and Kubernetes Scripting in Python, Bash, or PowerShell Monitoring and logging with Prometheus, Grafana, and ELK Stack Secure DevOps practices aligned with UK Government and MoD standards Experience working in Agile/Scrum environments Desirable 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 ❯

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 ❯

in Linux, network security, SQL, and AWS (EC2, S3, RDS, Lambda) Comfortable with MQ messaging (RabbitMQ or similar) Bonus points for: Experience with Azure environments Strong coding ability in Python, Java, or Go Knowledge of cross-domain systems or service management frameworks Proven application of observability and uptime metrics to reduce downtime The Offer: Contract position outside IR35 More ❯

on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. More ❯

on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. Proficiency in Python, PyTorch/TensorFlow, FastAPI/Flask . Cloud architecture experience: Azure preferred, AWS/GCP acceptable . Skilled in Docker, Kubernetes, Helm, Terraform, IaC for deploying ML and web apps. 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 ❯

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 ❯

application support and/or a DevOps background is a plus. Stack: Atlassian Suite (Jira, Confluence, Crowd, Bitbucket) Jenkins Cl Linux AWS Git/Github/Gitlab Bash and Python SQL/NO-SQL DB's Nginx More ❯

focus on security , compliance , and best practices for Azure environments. Required Skills & Experience Proven experience as an Azure Developer or DevOps Engineer . Strong programming skills in C#, .NET, Python, or JavaScript/TypeScript . Hands-on experience with Azure App Services, Functions, Logic Apps , and Storage Accounts . Proficiency in Azure DevOps , Git , and YAML pipeline configuration . Experience 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 ❯

Azure Storage. Strong SQL skills and expertise in dimensional modelling (e.g., star/snowflake schemas). Familiarity with Power BI dataflows, DAX, and RLS setup. Hands-on experience with Python, PySpark, or T-SQL for data processing and automation. Understanding of CI/CD practices in data projects using Git and YAML pipelines. Solid knowledge of data security, governance, 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 ❯

and relational databases Linux administration and shell scripting Familiarity with network security protocols Experience with cloud platforms, ideally AWS (EC2, RDS, S3, Lambda) Desirable: Coding experience in Java, Go, Python or similar Knowledge of cross-domain technologies Experience in service management environments Practical application of observability patterns Experience with Azure Additional Information: Due to the nature of the work, successful 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 ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience 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 ❯

Familiarity with performance engineering, capacity planning, resilience testing, and telemetry-based insights. Experience supporting cloud-native platforms and modern application architectures. Proficiency in programming and scripting languages such as Python or Go. Experience building and managing enterprise-grade observability solutions. Strong understanding of secrets management, RBAC, audit logging, compliance, and secure infrastructure practices. Reasonable Adjustments: Respect and equality are core More ❯