1 to 25 of 180 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 ❯

model to automatically extract key clauses from contracts, applying NLP to analyse case law, or building a compliance risk prediction tool using large language models. Strong programming skills in Python (NumPy, pandas, scikit-learn, matplotlib); R is also welcome. A solid understanding of core ML concepts, NLP techniques, data wrangling, and model evaluation. Proficiency with SQL and experience handling large 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 ❯

analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets 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 ❯

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 ❯

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 ❯

consume allowing our customer coverage to scale Qualifications Your Experience Experience as a Security Incident Responder or SOC analyst/manager Experience with development and maintenance of scripts in Python JavaScript or PowerShell is a plus Experience with security design and architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their 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 ❯

with user needs Analysing platform usage and market trends to guide strategic decisions Requirements: Around 3 years of experience in data science, analytics, or advanced market research Proficient in Python and SQL, with exposure to cloud tools (Azure, GCP or AWS) Comfortable working with large datasets and building models that can scale Clear communicator who can translate complex findings into 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 ❯

About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Requirements: Proven experience applying data science in commercial settings Proven ability to lead More ❯

right solutions What we’re looking for: At least 3 to 5 years of experience in data science, with a strong focus on survey data Professional-level proficiency in Python or R Strong understanding of statistical and machine learning methods such as clustering and regression Hands-on experience with segmentation and preferably conjoint analysis Ability to communicate complex methods and More ❯

datasets and collaborate with teams to design suitable data models. Essential Skills & Experience 5+ years in data engineering, ideally at senior or lead level. Strong hands-on experience with Python , Azure Databricks , and Azure Synapse Analytics . Advanced SQL skills, including stored procedures and formal database design. Proven data modelling capabilities. Proficiency with Microsoft Azure data services and CI/ More ❯

/VMware vSphere , ESXi , and vCenter . Proficiency in network protocols (BGP, OSPF, VXLAN, etc.). Familiarity with Firewalling, load balancing , and VPN technologies . Scripting skills in PowerCLI, Python , or similar for automation. Experience with monitoring and logging tools (vRealize, Splunk, etc.). Excellent problem-solving and communication skills. Preferred Qualifications: VMware Certified Advanced Professional (VCAP-NV) or VMware More ❯

best practices in version control, CI/CD, and cloud infrastructure management Identify opportunities to improve processes, systems, and data quality across the business Requirements: Strong experience in SQL, Python, Spark, and cloud infrastructure (AWS, Databricks preferred) Hands-on experience building production data pipelines, coding transformations (e.g., dbt), and implementing data quality controls Familiarity with version control (Git), CI/ More ❯