18 of 18 Remote Python Jobs in Worcester

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 ❯

will bring something new to the table! Required Minimum of five (5) years of experience as a software engineer developing internal tools and automating workflows at scale Proficiency in Python (or another scripting language) for development, testing, and automation of security and infrastructure workflows Hands-on experience applying AI/ML models, including LLMs, to automate complex business or security 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 ❯

Helping reduce technical debt and modernise legacy code when necessary. Tech Stack: The team is modernising the platform, and you'll get to work with: Backend: Java, Typescript, NodeJS, Python; Infrastructure: AWS (EC2, CloudFront, Route53), Linux, Docker; Databases: MongoDB; Monitoring & CI/CD: Github, Jenkins, Terraform, CAdvisor, Prometheus, Grafana; iGaming experience: obligatory. What you'll need to have: 3+ years 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 ❯

We're Looking For Bachelor's degree or higher in Computer Science (from a selective institution) or currently pursuing. Proficiency in at least one of the following programming languages: Python, Java, JavaScript, or C++. Strong ability to articulate technical concepts in written and spoken Spanish and English. Excellent attention to detail, problem-solving skills, and clear technical writing ability. Preferred More ❯

Expert SQL: advanced query design, optimisation, and building reusable analytical datasets. Modern BI: hands-on experience with a modern BI platform with integrated semantic layer (e.g Omni, Looker, Thoughtspot) Python for analysis: practical experience with pandas/numpy and notebook-based workflows for LTV, attribution, simulations and experimentation analysis. Domain expertise: deep, practical knowledge in one or more of the 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 ❯

Responsibilities Design and configure Linux-based systems and development environments for large-scale AI applications. Develop APIs and service layers to interface with high-performance AI models. Utilize Bash, Python, and C for scripting, automation, and debugging. Manage version control, build processes, and CI/CD pipelines using Docker, Git, and UNIX tools. Collaborate with cross-functional technical teams to … at top-tier technology firms, trading companies, or high-performance environments. Expert-level comfort with Linux—including kernel compilation, file permissions, and filesystem operations. Strong proficiency in Bash scripting, Python, Shell, and C. Experience with Docker, Git, and networking fundamentals. Open-source experience or familiarity with large codebases a plus. Bachelor's or Master's degree in Computer Science or 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 ❯

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 ❯

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 ❯

these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model. To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role will require proficiency in at least one programming language (JavaScript, Python, C#, C++, HTML, SQL, or Swift) in order to solve coding problems (think More ❯

architecture alongside an accomplished executive team. What You'll Be Doing Design, build, and deploy AI models into production (not just prototypes or wrappers). Develop and maintain backend Python services that power intelligent automation workflows. Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring. Train and optimize models … What We're Looking For Experience: 3–5+ years in AI/ML engineering with a track record of deploying AI into production at scale. Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. Applied AI: Background More ❯