801 to 825 of 2,225 Remote Python Jobs

role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement skills. Some of the package details include: Salary of up to £70,000 10% performance-related bonus More ❯

role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement skills. Some of the package details include: Salary of up to £70,000 10% performance-related bonus More ❯

into a CTO-level position in the future as the company scales. Requirements 4+ years’ experience in AI/ML or software engineering with production responsibility. Strong skills in Python, vector databases, LangChain or Semantic Kernel, and Azure AI/MLOps. Experience in manufacturing, supply chain, or industrial technology preferred. Entrepreneurial, pragmatic, and comfortable working in a small, fast-paced More ❯

Power Query. Building and maintaining Power BI reports and certified datasets. Working with stakeholders to understand business needs and translate them into reporting solutions. Using service include SQL and Python to clean, transform, and analyse data. Supporting users across the business with training and reporting guidance. Contributing to our journey into AI and advanced analytics. Identifying opportunities to improve reporting More ❯

STEM field. 5+ years of practical AI or data science experience in industry or engineering. Proven track record delivering AI solutions from concept to deployment. Hands-on expertise in Python and AI/ML libraries Experience with cloud platforms for model training, deployment and scaling. Strong communication skills with the ability to influence decision-making. The role is hybrid in More ❯

STEM field. 5+ years of practical AI or data science experience in industry or engineering. Proven track record delivering AI solutions from concept to deployment. Hands-on expertise in Python and AI/ML libraries Experience with cloud platforms for model training, deployment and scaling. Strong communication skills with the ability to influence decision-making. The role is hybrid in More ❯

Native services (All), especially Glue, Lambda, IAM and all the storage services like S3, Redshift, Aurora etc. Apache Spark DevOps (CI/CD pipelines) Infrastructure as code Terraform Scala, Python and Node.js Relational DB AWS Automation using BDD and Terra test Submission Template Full Name as per : Mobile Number Email ID: Visa Status: Available : and month): Interview Availability : Current Location More ❯

Proven track record of building and optimizing data pipelines in cloud environments. Experience with AWS services such as S3, Glue, Lambda, Step Functions, Athena, IAM, and VPC. Proficiency in Python for data engineering tasks. Familiarity with GitLab for version control and CI/CD. Strong understanding of unit testing and data validation techniques. Preferred Qualifications: Experience with Databricks Delta Lake More ❯

Proven track record of building and optimizing data pipelines in cloud environments. Experience with AWS services such as S3, Glue, Lambda, Step Functions, Athena, IAM, and VPC. Proficiency in Python for data engineering tasks. Familiarity with GitLab for version control and CI/CD. Strong understanding of unit testing and data validation techniques. Preferred Qualifications: Experience with Databricks Delta Lake More ❯

the energy transition and willing to be drive the energy sector towards a greener future. Fluent in English, written and spoken. Excerpt from our tech-stack, sorted by priority: Python, AWS, Docker, TypeScript, Relational and Non-Relational Databases Passt du zu uns? Diversity enriches our team and makes us stronger. Regardless of origin, gender, age, sexual orientation, religion, or any More ❯

and a willingness to learn quickly. Desirable Experience: Monitoring tools – Nagios, CheckMK. Web & database technologies – Apache, CouchDB. Advanced file systems – ZFS, DRBD, Btrfs, LVM, RAID, CEPH. Scripting – Bash (preferred), Python, PowerShell, Perl, Ruby. Windows Server knowledge and hybrid infrastructure experience. Daily Responsibilities: Delivering frontline support via phone, email, and live chat in a fast-paced environment. Monitoring infrastructure and virtualized More ❯

developer and help shape future engineering capability What you’ll need: 7+ years’ experience building or refactoring large-scale applications (ERP or SaaS experience ideal) Strong technical background with Python, TypeScript, React, Node.js, PostgreSQL, and AWS Proven experience in greenfield development and system modernisation Interest or hands-on experience with AI-driven development tools Solid understanding of clean architecture, automation More ❯

developer and help shape future engineering capability What you’ll need: 7+ years’ experience building or refactoring large-scale applications (ERP or SaaS experience ideal) Strong technical background with Python, TypeScript, React, Node.js, PostgreSQL, and AWS Proven experience in greenfield development and system modernisation Interest or hands-on experience with AI-driven development tools Solid understanding of clean architecture, automation More ❯

NoSQL databases, including MongoDB, Cassandra, and HBase; Experience with applied statistics skills, including distributions, statistical testing, and regression; Experience with Dagster or Airflow for ML pipeline management; Experience with Python; and Experience with cloud environments, including AWS. Requires a Bachelor's degree or foreign equivalent in Computer Systems Engineering, Data Science or a related field, and at least five years More ❯

someone who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets. What you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend, attribution More ❯

that empower investment professionals across the business. The team is currently re-architecting its technology stack to become fully cloud-native (AWS), using React for front-end development and Python for backend services. You’ll be working in a culture that values craftsmanship, test-driven development, clean code, and collaboration through pair programming and code reviews. What You’ll Do More ❯

behaviours across blockchain data. Integrating LLM-based capabilities into customer-facing products. What We’re Looking For 3–6 years of experience in Data Science or ML Engineering. Strong Python skills and hands-on experience building end-to-end ML solutions. Interest in blockchain, crypto, or fintech (commercial crypto experience a plus). Experience with GCP or similar cloud environments. More ❯

someone who enjoys autonomy, solving complex commercial problems, and working across large, behaviour-rich datasets. What you'll do Tackle business-critical analytics challenges - not pipeline engineering. Use SQL, Python, dbt, and a modern data warehouse (BigQuery or equivalent). Build BI models and dashboards (Looker/Power BI/Omni-style tools). Analyse marketing performance, ad spend, attribution More ❯

a strong, values-led engineering culture grounded in curiosity, pragmatism, and purpose. You should have Experience leading or mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real More ❯

a strong, values-led engineering culture grounded in curiosity, pragmatism, and purpose. You should have Experience leading or mentoring software engineers. Solid background across the full stack (Ruby, Go, Python, Typescript) Strong grasp of system design, data structures, and scalable architectures. Familiarity with cloud platforms (e.g. GCP, AWS) and AI tooling. A product-focused mindset and passion for solving real More ❯

exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on QRM experience (configuring models, running sensitivities/scenarios, interpreting EVE/NII). Programming: Proficient in Python, R, or similar. Risk Framework: Strong understanding of risk measurement's link to management actions (limits, stress testing, ICAAP). Regulatory: Familiarity with EBA/ECB IRRBB & CSRBB requirements. Communication More ❯

exposure to IRRBB, CSRBB, ALM, Treasury, or Balance Sheet Risk. Technical: Hands-on QRM experience (configuring models, running sensitivities/scenarios, interpreting EVE/NII). Programming: Proficient in Python, R, or similar. Risk Framework: Strong understanding of risk measurement's link to management actions (limits, stress testing, ICAAP). Regulatory: Familiarity with EBA/ECB IRRBB & CSRBB requirements. Communication More ❯

and incident response. Familiarity with frameworks like MITRE ATT&CK, NIST, CIS, or ISO 27001. Degree in IT security, or relevant professional Certifications or practical experience. Basic scripting skills (Python, PowerShell, or Bash) are a plus. Industry certifications (Security+, CEH, CySA+, GCIH) desirable. Excellent problem-solving, communication, and teamwork skills Why Join Us? ✅ Work with industry-leading tech and top More ❯

of experience in Data Science or related analytical roles. Deep expertise in experimentation, including advanced techniques and real-world constraints (e.g., no randomisation, low-power scenarios). Proficient in Python or R, with strong hands-on experience in statistical modelling and experimentation frameworks. Working knowledge of SQL for data extraction and manipulation. Exceptional communication skills, with the ability to engage More ❯

technical assessments during product discussions Maintain balance between team empowerment and hands-on guidance Tech Environment Backend: Node.js/NestJS (must-have) Frontend: React/Angular (either is fine) Python: Not day-to-day, but strong understanding needed to oversee ML/data science function Cloud: GCP stack (AWS or Azure acceptable) Full-stack preferred, backend-leaning also welcome You More ❯