1 to 25 of 187 Python Jobs in Slough

with SIEM tools, vulnerability management, malware analysis, and firewall configurations. Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical. Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages. 3–5 years of experience in Technical Support, or similar hands-on roles. Bachelor’s/Master’s degree in a technical 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

This role will focus on you being the main POC for major clients combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects 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 ❯

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 ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance 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 ❯

trees, neural networks, etc.) and their real-world advantages and drawbacks. Proven experience applying statistical and modeling techniques to solve complex business problems in real-world scenarios. Proficiency in Python (for statistical and ML package tools). Proficiency in SQL and working with large-scale databases. Comfortable researching and adopting new methods, tools, and techniques, and able to mentor junior More ❯

software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI governance, and large-scale deployment. Recognised professional certifications in More ❯

and problem-solving skills. A strong quantitative background (STEM degree or equivalent skills). Desirable but not essential: Knowledge of Data Engineering and machine learning pipelines. Experience with .NET, Python, or R. Familiarity with the US gaming industry products ✨ We’re committed to building a workplace where everyone can thrive , regardless of background, identity, or experience. More ❯

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph More ❯

production environments. Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling. What We’re Looking For Strong technical foundation with proficiency in Python, SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing More ❯

person collaboration at our office. What We’re Looking For: 0–2 years of experience in machine learning, applied AI, or data science (personal projects and internships count!) Solid Python skills and familiarity with libraries like PyTorch, TensorFlow, or Hugging Face Transformers Understanding of basic ML concepts and data preprocessing techniques Interest in NLP, unstructured data, and information extraction Eagerness More ❯