1 to 25 of 285 DemandTrendPermanent Python Jobs in the Thames Valley

on Microsoft Azure Strong knowledge of Azure services and cloud architecture Experience with CI/CD tools, particularly Azure DevOps Proficiency in scripting languages such as PowerShell, Bash, or Python Familiarity with containerization technologies like Docker and Kubernetes Understanding of networking, security, and monitoring in a cloud environment Excellent problem-solving skills and attention to detail Strong communication and collaboration More ❯

with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python) Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket) Proven track record delivering in agile environments (Scrum, Kanban, Lean) Understanding of More ❯

of continuous learning. Essential Skills & Experience Proven experience in DevOps, cloud infrastructure, and automation. Strong knowledge of CI/CD tooling, IaC, and cloud-native technologies. Advanced scripting (Bash, Python) and automation experience. Skilled in monitoring and observability tools (e.g., Prometheus, Grafana, ELK). Strong problem-solving, communication, and leadership skills. Familiarity and Experience of CI/CD Tools: Jenkins More ❯

stack: Terraform, AWS (preferred), Azure, CI/CD You will also bring experience in: 5+ years experience in platform engineering Programming in one or more languages: JavaScript, Java, .Net, Python Experience mentoring, coaching or managing others in the team Designing and building Proof of Concept and Production systems collaboratively Source control (e.g. Git, Mercurial, Perforce) CI/CD tools (e.g. More ❯

Hands-on experience with tools like Terraform, Kubernetes, SIEM platforms, and security scanners Familiarity with DevSecOps practices and modern CI/CD pipelines Strong scripting or coding skills (e.g., Python, Bash, or PowerShell) Excellent problem-solving, communication, and stakeholder engagement skills Nice to Have Security certifications (e.g., CISSP, AWS Security Specialty, OSCP, CISM) Experience with zero-trust architecture or secure More ❯

or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI/CD tools and version control systems like Git. • Familiarity with data governance More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

experience with Genesys solutions including Genesys Cloud Genesys Engage and related components Technical Skills Expertise in Genesys platform architecture configuration and deployment Strong programming skills in languages like Java Python or C Advanced knowledge of SIP VoIP telephony and network technologies Experience with cloud infrastructure AWS Azure etc and virtualization Soft Skills Excellent communication presentation and stakeholder management skills Strong More ❯

Terraform knowledge for infrastructure as code Solid grasp of CI/CD pipelines and DevOps best practices Experience with Docker, AKS and Helm Proficiency in scripting (PowerShell, Bash or Python) Awareness of monitoring tools across Azure (Log Analytics, App Insights etc.) Understanding of cloud networking, identity, and security Excellent problem-solving and communication skills Practical bits: Hybrid working typically More ❯

Terraform knowledge for infrastructure as code Solid grasp of CI/CD pipelines and DevOps best practices Experience with Docker, AKS and Helm Proficiency in scripting (PowerShell, Bash or Python) Awareness of monitoring tools across Azure (Log Analytics, App Insights etc.) Understanding of cloud networking, identity, and security Excellent problem-solving and communication skills Practical bits: Hybrid working – typically More ❯

to pre-engagement activities such as project scoping, technical feasibility analysis, or prototype development. Comfortable contributing to technical discussions and implementing solutions defined by project leads. Desirable Experience Strong Python expertise. Experience with GNU/Linux environments. Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face). Experience in natural language processing, tabular More ❯

Strong knowledge of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working More ❯

tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in it for you At Accenture in addition to a competitive basic salary, you will also have an More ❯

leading a small team of software developers and quality assurance engineers Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with More ❯

LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and bottom-up business objectives. Demonstrated More ❯

the latest advancements in deep learning, computer vision, and related technologies. Key Skills & Experience Strong hands on experience with Computer Vision frameworks (e.g., OpenCV, PyTorch, TensorFlow). Proficiency in Python and ML/DL libraries (NumPy, Pandas, scikit-learn). Proven track record of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker More ❯

performance through experimentation and analytics What We’re Looking For: 3–7 years’ experience in a Data Scientist or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part More ❯

to both technical and business stakeholders. 🎓 Requirements: Bachelor’s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer More ❯

record managing complete AWS lifecycle including provisioning, monitoring, cost optimization Strong CI/CD pipeline expertise and containerization (Docker/Kubernetes) Infrastructure-as-Code mastery (Terraform, CloudFormation) Scripting expertise (Python, Bash, PowerShell) Highly Valued: Experience in regulated industries (healthcare, financial services, life sciences) AWS cost management and FinOps experience Monitoring tools expertise (CloudWatch, Datadog, New Relic, Prometheus) Security and compliance More ❯

Self-Starter; willing to learn new technologies, ability to learn fast Desirable Attributes: Knowledge of Eclipse RCP and Eclipse OSGi Swing and SWT experience Understanding of Machine Learning technologies (Python, TensorFlow etc.) Experience in Geophysics and/or Geology domain especially Oil and Gas Undergraduate degree in Software Engineering, Computer Science or equivalent Agile Scrum certification Experienced in working with More ❯

set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for More ❯

work experience on SQL, PL SQL, Unix commands and Unix Shell Scripting Hands on experience in writing Joins, Queries, Sub Queries Scripting and Automation: Experience with scripting languages (e.g., Python, Go, Bash) for automation and tool development. Familiarity with CI/CD tools and practices, including automated testing frameworks. Analytical and Problem-Solving Skills: Strong analytical skills to troubleshoot and More ❯

City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS Cloudformation/Terraform/Ansible/Chef AWS cloud native development using EC2, Lambda, S3, Simple Que More ❯

research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug More ❯

AWS Secrets Manager, Azure Key Vault, etc.). Strong DevOps background – think CI/CD pipelines (Terraform, Jenkins, GitHub Actions, GitLab, Azure DevOps). Proficiency in automation and scripting ( Python, PowerShell, Bash ). Familiarity with AWS, Azure, or GCP IAM capabilities. Solid grasp of security frameworks and best practices . Next Steps If you're ready for a role that More ❯