record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯
such as content generation, technical Q&A, and call summarisation. Understanding of how AI augments human capabilities in sales and presales. Programming & Scripting Languages: Proficiency in languages such as Python or R, with strong knowledge of relevant libraries for data manipulation, scripting, and custom solution development. Experience with SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong More ❯
Previous experience operating ClickHouse or other SQL databases in production. Excellent understanding of distributed database internals and SQL, particularly ClickHouse is a major plus. Scripting experience with Shell or Python,and ability to read and understand C++ code. Knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform. You are a strong problem-solver and have solid More ❯
scalable solutions. What you'll do: Collaborate with engineers and product teams to shape product direction and deliver features that solve real user problems. Build and maintain services using Python, TypeScript, and cloud platforms (AWS or GCP). Work with serverless architectures, containerisation, and NoSQL databases. Drive observability, data-driven decisions, and continuous improvement across the product. Challenge assumptions and More ❯
large datasets. Excellent analytical and problem-solving skills with strong business acumen. Clear communication and presentation skills — ability to turn data into compelling stories. Nice to Have: Experience with Python, R, or another scripting language for data manipulation. Familiarity with cloud data platforms (e.g., BigQuery, Snowflake, Redshift). Understanding of player segmentation, LTV, churn, and responsible gaming metrics. What we More ❯
Rego or Cedar Experience with cloud databases such as Amazon DynamoDB, Aurora or Snowflake Experience with data platform tools such as Apache Flink and Kafka Experience with Java/python CI/CD pipelines – CloudBees/Jenkins SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive More ❯
/CD pipelines with solutions developed by other teams, scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should … platforms such as Kong API Gateway (ideal), Apigee, AWS API GW, Azure API GW, etc • Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes • Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the … Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. • Proficiency in Scripting Languages: Strong skills in scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments • Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC More ❯
to drive user acquisition and retention What We Look For 2-4 years work experience in customer risk management at a payments or financial company. Fluent in SQL and Python A team player with ability to collaborate and influence across different teams in the organisation Ability to clearly communicate findings and recommendations to both technical and non-technical audiences Passion More ❯
degree or strong professional background in Economics, Econometrics, Finance, or related fields. Strong grasp of macro/microeconomic theory, modeling, and statistical inference. Proficiency with modeling and analysis tools (Python, R, Stata, or MATLAB). Experience in forecasting, simulation modeling, or policy evaluation is a plus. Excellent analytical communication skills. Availability for 20–30 hours per week. Why This Role More ❯
videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and More ❯
of the Preferred Qualifications: · Experience with IAM, WAF, Vulnerability Management, or Pen Testing. · Experience with security concepts pertaining to private and public cloud · Experience with scripting and data languages (Python, Bash, JSON, etc.) · Working knowledge of tools used to test and assess security · Experience evaluating commercial and open-source network security tools and services · Understanding of public keys, certificates, and More ❯
more advanced courses to get you up to speed. React-js JavaScript JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project Additional Courses More ❯
models and predictive tools Develop dashboards and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A/B testing Excellent More ❯
validate, and deploy machine learning models to solve key business problems. Translate complex model outputs into clear, business-relevant recommendations for stakeholders. The ideal candidate: Strong programming skills in Python and/or R, with experience in SQL for data manipulation. Experience with machine learning/predictive modelling techniques and model evaluation. Ability to translate complex technical findings into clear More ❯
this role, you will have: Proven leadership experience within data engineering or data consultancy. Hands-on experience with Microsoft Fabric, Azure Synapse, Data Factory and Databricks. Strong SQL and Python/PySpark skills. Experience designing data lakes, warehouses and scalable data models for BI tools like Power BI. Solid understanding of data architecture and optimisation techniques for large-scale solutions. More ❯
task design, rubric structure, and evaluation criteria. Communicate insights to data labeling experts and technical teams. Requirements Strong foundation in statistical analysis, hypothesis testing, and pattern recognition. Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis. Experience with exploratory data analysis and deriving actionable insights from complex datasets. Familiarity with LLM evaluation methods and quality metrics. More ❯
targeting both ASIC and FPGA platforms Own the design lifecycle: specification, micro-architecture, coding (Verilog/VHDL), synthesis, timing closure, and verification Support design activities through scripting and automation (Python or similar) for verification, analysis, and testing workflows Partner effectively with hardware architects and firmware engineers to ensure seamless system integration About You: A collaborative problem-solver who enjoys the More ❯
all deliverables Ideal Qualifications Bachelor's degree or equivalent experience in Computer Science, Software Engineering, or a related technical field Proficiency in two or more major programming languages (e.g., Python, C++, Go, Java) Strong grasp of algorithms, data structures, debugging, and code analysis Exceptional analytical, problem-solving, and written communication skills Prior experience with structured software evaluations, benchmarks, or code More ❯
Senior Python Engineer | Fully Remote | High-Growth Tech Startup - Highly Profitable - Product Focused Engineers - 110k + Equity Join one of the most exciting early-stage startups of the year — backed by founders with a proven track record of building successful companies and already showing strong market traction. This is a rare chance to get in early, take real ownership, and … to scale globally. You'll tackle complex engineering challenges, work with modern tooling, and see the direct impact of your work every single day. The Role As a Senior Python Engineer, you'll join a small, sharp engineering team responsible for building robust backend systems and data-driven features. You'll help shape architectural decisions, set engineering standards, and work … closely with colleagues across the business to deliver high-impact functionality at speed. What You'll Be Doing Designing and developing reliable, high-performance backend services in Python (FastAPI, Flask, or Django) Leading architecture discussions and supporting more junior engineers Working closely with product, data, and design teams to bring new ideas to life Building and scaling cloud-based systems More ❯
can configure networks and understand how automation enhances them, you'll fit right in! Key Responsibilities Design, develop, and implement automated network solutions across large-scale customer environments. Use Python, Ansible, and Terraform to build repeatable, reliable automation workflows. Apply strong networking fundamentals to support configuration, optimisation, and troubleshooting. Lead customer-facing workshops, discovery sessions, and technical design discussions. Integrate … delivering solutions that make a real impact. Key Experience (Required) You must have experience with the following four core technologies: Networking fundamentals (routing, switching, firewalls, OSI model, IP services) Python (object-oriented) for automation scripts Ansible Terraform Plus: Background in either Networking/NOC Engineering (e.g., routers, switches, firewalls) or a solid Automation/DevOps foundation transitioning into Network Automation. More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
to ensure you are suitably employable as a data analyst. Microsoft excel - to expert level. Learn SQL - the programming language used for extracting data from more complex databases. Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex More ❯
teams to improve observability, monitoring and alerting across services Identify and implement operational improvements to existing monitoring, logging and incident response processes Use scripting and automation (primarily Bash and Python) to reduce toil and streamline recurring tasks Contribute to Infrastructure-as-Code practices using tools such as Ansible or Puppet Required Experience & Skills 5+ years' experience in Linux system administration … concepts Hands-on experience with Kafka and/or other distributed messaging systems Experience with Kubernetes or similar container orchestration platforms Practical scripting skills in Bash and/or Python for automation and tooling Familiarity with IaC tools such as Ansible or Puppet Good understanding of monitoring, alerting, logging and observability best practices Excellent communication skills and the ability to More ❯
includes a selection of more advanced courses to get you up to speed. Learn the Command Line (1.5 weeks) Learn Git & GitHub (1.5 weeks) Learn JavaScript (1.5 weeks) Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both More ❯
products, and automation initiatives. Build front-end experiences using modern frameworks (e.g. React, Vue, or similar) and contribute to back-end logic and API integrations (e.g. Node.js, .NET, or Python). Create and enhance automation solutions (e.g. chatbots, workflow optimisation, intelligent forms) using low/no-code and AI-enabled tools. Collaborate with content, product, design, and operational teams to … Is confident with modern front-end development (HTML, CSS, JavaScript/TypeScript, frameworks such as React or Angular) and has foundational experience in back-end technologies (Node.js, .NET, or Python). Understands web architecture, APIs, and data integrations. Is familiar with content management systems (e.g. Kontent.ai) and website optimisation best practices. Can integrate automation solutions using low-code/no More ❯
