1 to 25 of 809 Permanent Python Jobs in Slough

SENIOR PYTHON ENGINEER LONDON £65,000 - £85,000 You’re a problem-solver who thrives on complex data challenges and wants to see your work make a measurable impact? Here’s your chance to join. Work with real-world ML datasets, cutting-edge data systems, and a platform that processes billions of events — all while helping shape how global advertisers … empowering marketing teams with trusted data and higher ROI. Your work will directly support their mission to make digital advertising more transparent and impactful. THE ROLE As a Senior Python Engineer , you’ll play a key role in building and improving the core platform that powers the AI-driven traffic protection and analytics capabilities. You’ll work closely with the … high-performance backend solutions that process massive datasets. Specifically, you can expect to be involved in the following: Developing and maintaining large-scale data pipelines and backend systems in Python . Working with AI/ML datasets to help train and deploy new detection models. Building and improving integrations, and working on greenfield product developments. Collaborating with data science and More ❯

Lead Python Developer (PYTHON/AWS/REACT) - health tech - tech for good, make a positive impact on the world. Highly successful and fast growing organisation has an exciting opportunity for a Lead Python Developer (PYTHON/AWS/REACT). JOB PURPOSE Part of the extended Technology Leadership Team, the Lead Python Developer will design, implement, and maintain publishing … evaluate trade-offs. Ability to work closely within an agile team using User Stories and acceptance criteria to understand functional and non-functional requirements Deep knowledge and experience in Python and its ecosystem, patterns and pitfalls. Extensive experience of working in an agile environment (we use Scrum). Experience with extreme programming practices such as incremental development, continuous integration, test More ❯

with containerisation (e.g., Docker, Kubernetes) and microservices architectures is a plus. Skills: Strong knowledge of IT infrastructure, virtualisation technologies, and network management. Proficiency in scripting and automation (e.g., Bash, Python, PowerShell). Familiarity with CI/CD pipelines and deployment automation. Experience with environment monitoring tools (e.g., Prometheus, Nagios, Datadog). Knowledge of security best practices and compliance standards in More ❯

CD tools such as Jenkins, GitLab CI, or Azure DevOps Experience with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation) Strong background in Linux systems and scripting (Bash or Python) Exposure to containerisation and orchestration (Docker, Kubernetes, or OpenShift) Understanding of cloud services (AWS, Azure, or GCP) Experience working in secure or regulated environments Collaborative mindset with strong problem-solving More ❯

teams. Skilled in designing resilient, scalable, and cost-conscious architectures in coordination with solutions architects. Demonstrated leadership in mentoring or upskilling other engineers. Advanced scripting and development experience (e.g., Python, Bash, Java, Golang, or JavaScript). Proficiency with infrastructure-as-code tools such as Terraform, Ansible, or Pulumi. Hands-on experience with UNIX/Linux systems and modern DevOps toolchains. More ❯

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

testing, reviews, and best practices Collaborate with cross-functional teams to deliver project goals Stay current with emerging technologies and development methodologies Tech Stack & Tools Programming Languages: C++, C#, Python, JavaScript, TypeScript, Java Frameworks & Libraries: .NET, Node.js, React, Angular, Spring Boot, Django (depending on role) Cloud Platforms: AWS, Azure, GCP DevOps & CI/CD: Docker, Kubernetes, Git, Jenkins Agile methodologies More ❯

Strong knowledge of CI/CD automation using Azure DevOps, including Repos, Pipelines, and Artifacts Expertise in Infrastructure as Code with Terraform and Ansible, along with scripting in PowerShell, Python, or Bash Experience implementing GitOps workflows and managing platform SLAs, SLOs, and governance standards Familiarity with observability and monitoring tools including Prometheus, Grafana, Azure Monitor, DataDog, or Dynatrace Preferred experience More ❯

and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer , Data Scientist , or similar role. Strong programming skills in Python (experience with libraries such as TensorFlow, PyTorch, scikit-learn, pandas, NumPy). Solid understanding of machine learning algorithms , statistical modelling , and deep learning architectures . Hands-on experience with MLOps More ❯

assessments of RAG and agentic systems. Both on performance and compliance (harm, guardrails, etc) 4+ years of development competency across a variety of languages, frameworks, and tooling, such as Python, R, Kubernetes, Kubeflow, JavaScript/JVM, Kafka Background in Application development, deployment, and monitoring on Kubernetes Proficient in PyTorch or similar frameworks (e.g Tensorflow) – demonstrates strong understanding of neural networks More ❯

and NoSQL approaches. Expertise in data integration, ETL/ELT, and data pipeline design. Hands-on experience with data lakehouse, warehouse, and streaming data architectures. Working knowledge of SQL, Python, and relevant data engineering frameworks (e.g. Databricks, Synapse, Snowflake, Redshift). Experience designing data platforms leveraging PaaS and SaaS solutions. Solid understanding of information governance, metadata management, and master data More ❯

Python Developer Python - React - £45,000-£55,000 - London (Hybrid) Are you a Python Developer who enjoys building high-performance backend systems and visually engaging frontend dashboards? This is an exciting opportunity to join a growing tech company using data, AI, and smart visualisation to make a real impact in the way cities and organisations operate. You’ll be part … of a collaborative team creating innovative digital products that turn complex datasets into meaningful, actionable insights. Experience required Developing robust backend services using Python (Flask, FastAPI). Building intuitive, responsive dashboards with modern frontend frameworks (React). Ensuring performance, scalability, and accessibility across all devices. Managing deployments using Docker and AWS. Monitoring system performance and maintaining reliable infrastructure. Collaborating with … cross-functional teams to bring new ideas to life. Tech stack Strong experience with Python web frameworks (Flask, FastAPI). Skilled in modern frontend development (React, JavaScript, HTML/CSS). Understanding of responsive design, accessibility, and UX best practices. Experience with Docker, AWS, and CI/CD pipelines. Knowledge of Git, version control, and deployment automation. Familiarity with REST More ❯

issues, ensuring minimal disruption to trading activities. Contribute to continuous improvement initiatives and technical innovation within the team. Key Skills & Experience: Required: Strong programming skills in Java , C# , or Python . Experience with FX trading systems , ideally in investment banking or financial services. Solid understanding of trade lifecycle , pricing , and risk management . Familiarity with FIX protocol , MQ messaging , and More ❯

large corporate environments. Infrastructure as Code (IaC) Tools & Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS More ❯

Science, Software Engineering, or a related field—or equivalent practical experience. Minimum of 10 years’ professional experience in software engineering. Proficiency in one or more programming languages: Java, C++, Python, or similar. Strong front-end development skills with HTML, CSS, JavaScript, and experience with frameworks like React or Angular. Solid understanding of database systems and experience with SQL or NoSQL More ❯

with cloud GPU infrastructure (AWS, Azure, GCP) and IaC (Terraform, Ansible). Familiarity with GPU workflows (CUDA, SYCL, Vulkan, OpenCL) or HPC performance optimisation. Strong scripting and programming skills (Python, Bash, C/C++ exposure a plus). Knowledge of monitoring, logging, and performance testing for GPU/ML workloads. Excellent collaboration skills — able to work with research, engineering, and More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

Work in an agile environment alongside product and engineering teams Support and mentor fellow developers while leading by example What You’ll Bring: 5+ years of professional experience in Python (3+) and Django Strong understanding of Django ORM and REST Framework Experience developing and consuming APIs Familiarity with HTML, CSS, JavaScript (React experience a plus) Experience with Celery or event More ❯

. Proven track record implementing Medallion Architecture (Bronze, Silver, Gold layers) in production environments. Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. Proficiency in Python, SQL, and Spark optimization techniques. Experience working with cloud data platforms such as Azure Data Lake, AWS S3, or GCP BigQuery. Strong understanding of data quality frameworks, testing, and CI More ❯

ll Need Extensive hands-on experience building and scaling AI-powered backend systems (8+ years in software development, 3+ focused on AI or ML engineering). Expert proficiency in Python, with strong working knowledge of ML libraries and frameworks. Solid background in data architecture, with proven experience across SQL, NoSQL, and graph databases such as Neo4j or Amazon Neptune. Strong More ❯

global or large-scale environment. Strong understanding of data governance, data quality, and compliance frameworks (e.g., GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional More ❯

in this role. • Programming Proficiency: •Strong experience with C# and .NET frameworks. •Solid understanding of data structures, algorithms, and programming principles. •Experience working with other relevant languages such as Python, JavaScript, or TypeScript. • Data Systems Knowledge: •Exposure to working in data-centric environments, supporting ETL/ELT pipelines or data processing services. •Familiarity with SQL and NoSQL databases. •Understanding of More ❯

architects, and DevOps teams to deliver robust streaming solutions. Required: • Hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) • Strong proficiency in Java, Python, or Scala • Solid understanding of event-driven architecture and data streaming patterns • Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure • Familiarity with Docker, Kubernetes, and CI More ❯

facing delivery roles Data architecture and solution design experience Hands-on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of More ❯