1 to 25 of 431 Python Jobs in the Thames Valley

Cloud DevOps, Cloud Architecture or Platform Engineering. Strong understanding of AWS across compute, networking, identity and databases. Solid experience with Terraform and CloudFormation. Strong Python skills. Confident with SQL, MySQL, Postgres and S3 based storage. Comfortable with Linux and shell scripting. Experience with Git, GitHub and CI or CD pipelines. ...

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

driven product development. Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics. Strong proficiency in Python (preferred) and/or JavaScript/TypeScript. Hands-on experience with AI frameworks (TensorFlow, PyTorch, LangChain) and LLM APIs (Azure OpenAI, OpenAI API, Anthropic ...

Full Stack Engineer, Web Developer, or Data Engineer. Bachelor's or Master's degree in Computer Science, Engineering, or a STEM field. Proficiency in Python and SQL for back‐end logic and data operations. Hands‐on experience with front‐end frameworks such as React or Next.js. Experience creating and maintaining ...

/Microservices/Infrastructure as Code/Kubernetes/CI/CD/AI Engineering/Machine Learning/API Architecture/.NET/Python/Java/JavaScript/C#/Software Development Manager/Software Engineering Manager ...

least two of applied statistics, machine learning, forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM ...

solutions Set up tooling for model serving, versioning, and lifecycle management Lead documentation, knowledge transfer, and mentoring to upskill internal teams Technical requirements Strong Python and ML frameworks (PyTorch, TensorFlow) MLOps tooling (MLflow, Kubeflow or similar) Docker, Kubernetes, CI/CD pipelines Cloud platforms (AWS, Azure or GCP); Terraform experience ...

with CI/CD tooling , ideally Bitbucket Pipelines or Bamboo Proficiency with version control systems (Git, Bitbucket, GitLab) Solid scripting and automation skills using Python, Bash, or Go Experience with Docker, Kubernetes , and Linux-based environments Background in monitoring, logging, and performance optimisation for embedded or hardware-adjacent systems ...

desire to learn Desirable Skills Knowledge of UX best practices Experience with React (ideally TypeScript) , Blazor , and GraphQL Familiarity with C++ and/or Python Containerisation (e.g., Docker, dev containers) Web app and microservice deployment (Azure App Service, Azure Functions) Infrastructure as Code using Terraform for Azure ...

Line-manage and mentor a small team of Data Engineers. What We're Looking For Extensive Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem ...

such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) Knowledge of SCM branch strategies using Git Experience with unit testing and automated testing tools (such as ReadyApi, Cucumber ...

Qualifications, Knowledge, Key Skills and Experience Essential: Experience with TypeScript and React for building dynamic, responsive front-end applications. Back-end development experience in Python, particularly with frameworks like Django or Flask, or equivalent experience in other back-end languages like Node.js with Express. Familiarity with Linux system development Familiarity ...

concepts and experience implementing CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or AWS CodePipeline. Strong scripting skills (e.g., Bash, Python, or PowerShell) for automation and tooling. Familiarity with monitoring and log management tools (e.g., Prometheus, Grafana, ELK stack). Knowledge of networking concepts and security ...

working directly with data models, integrations, and operational outputs from these platforms. Technical requirements Proven experience as a Data Engineer in production environments. Strong Python and SQL skills. Hands-on Databricks experience (DLT, Delta Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience ...

with any of our existing stack, but any of the following are a bonus: Built modern full-stack applications with focus on backend (e.g. Python, Java, Go) Worked with a variety of storage technologies (e.g. Postgres, Mongo, Redis, Object) Experience with async and bi-directional communication protocols and patterns (e.g. ...

development (Azure, Kubernetes, Docker) Gradually take on mentorship and technical leadership as you grow toward a senior role Tech Stack Backend: Golang (primary), Node.js, Python Frontend: React Databases: MongoDB, MS SQL (Neo4j is a plus) Cloud: Azure Infrastructure: Docker, Kubernetes, microservices architecture Tools: Git, Jira, Confluence, Slack What ...

data management principles including modelling, integration, governance, and data architecture. Familiarity with modern data architectures and cloud-based/distributed systems. Proficiency in SQL, Python and data pipeline tools (e.g., Apache Airflow, Spark). Experience working with major cloud platforms (AWS, Azure, GCP) and big data technologies. Awareness of data ...

equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash/Go for automation. Familiarity with AWS core services (EC2, VPC, IAM, S3, ALB/ELB, CloudFront, ECR/ECS, Elastic ...

ability to work effectively in collaborative teams. Exposure to agile delivery methods. Experience with other development languages or frameworks such as JavaScript, Java, Python, or .NET - or a strong willingness to learn and adapt to new technologies as required. Qualifications & Certifications Salesforce Platform Developer I - Required Salesforce Platform Developer ...

environments using core services such as EC2, S3, and VPC. Troubleshoot and resolve complex infrastructure issues independently. Automate cloud operations using Terraform, CloudFormation, Python, and Bash. Monitor performance and costs, implementing optimizations as needed. Collaborate with development teams to support application deployment and operations. Assess new cloud technologies to improve ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

detection, and ongoing optimisation Required Experience Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines ...

CCNP, JNCIA, or equivalent Experience with cloud networking (AWS, Azure, or GCP) Knowledge of SD-WAN, VoIP, or wireless networking Scripting or automation experience (Python, Bash, Ansible) Experience in high-availability or enterprise-scale environments Soft Skills Strong analytical and problem-solving skills Excellent communication and documentation abilities Ability ...