501 to 525 of 2,250 Remote Python Jobs

strong organisational and problem-solving abilities. Preferred Qualifications & Experience Certifications such as CompTIA A+, Microsoft Certified: Modern Desktop Administrator, or ITIL Foundation. Experience with scripting or automation (PowerShell, Bash, Python). Knowledge of cloud platforms and virtualization technologies (Azure, VMware, Hyper-V). Experience supporting remote users and using remote desktop tools. Additional Information Full-time, onsite position based in More ❯

of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/ More ❯

Proficiency with data visualisation tools such as Tableau or Power BI. Familiarity with the Microsoft Power Platform is advantageous. Good working knowledge of Microsoft Office 365. (Desirable) Understanding of Python, Business Objects, or other analytics tools. Solid grasp of relational databases, data modelling, and data storage structures. Experience working within a compliance or regulatory data environment is beneficial but not More ❯

and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to 80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with 2-3 days/week More ❯

and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to £80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with 2-3 days/week More ❯

and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to £80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with 2-3 days/week More ❯

and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to £80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with 2-3 days/week More ❯

and infrastructure-as-code practices. Why This Role Stands Out Leadership and impact: Influence technical direction, team culture, and delivery standards. Modern tech stack: Azure, Databricks, Unity Catalog, SQL, Python, Terraform. Attractive package: Up to £80k base + car allowance + bonus + benefits. Hybrid working: Offices across the South East and North West, with 2-3 days/week More ❯

across M365, Azure and AWS Excellent communication skills and a collaborative mindset Passion for learning and knowledge sharing Desirable Experience Experience with scripting or automation using PowerShell, KQL or Python Exposure to threat hunting, threat intelligence or vulnerability management Experience mentoring or coaching junior analysts What You’ll Get Competitive salary £40,000 to £55,000 depending on experience Hybrid More ❯

world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations More ❯

world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong background in data mining, pattern recognition, and anomaly detection to improve service delivery. Proficient in Python, R, or other relevant programming languages used for data science. Strong skills in SQL and experience working with large databases and data warehouses. Ability to create intuitive and informative visualisations More ❯

full-time on-site in Gloucester when required. Required experience in the following: Apache Kafka Apache NiFI SQL and NoSQL databases (e.g. MongoDB) ETL processing languages such as Groovy, Python or Java Understand and interpret technical and business stakeholder needs Manage expectations through clear, proactive communication Lead and support challenging conversations with teams and senior stakeholders To be Considered: Please More ❯

Trust, segmentation, NAC; familiarity with ISO 27001, NIST, PCI-DSS, GDPR. Cloud & Virtualisation: AWS, Azure, or GCP networking services; understanding of hybrid/multi-cloud; automation tools (Terraform, Ansible, Python). Monitoring & Management: Network management systems (SolarWinds, Cisco DNA Center); performance monitoring, logging, incident response. Experience Requirements: 7 10+ years in network engineering, with 3 5 years in architecture/ More ❯

Studies Excellent knowledge of Microsoft Office, including Excel and PowerPoint. Data analysis skills essential; knowledge of statistics modelling is preferred. Experience with analytics tool such as Tableau, SQL, R, Python or MATLAB is a plus. Client-facing experience is a plus. Benefits Hybrid working (2 days in London office) Private Medical Insurance (including Dental and Vision) and Life Assurance More ❯

GCP, Databricks) Experience with data lake design, large-scale data migrations , or regulatory data initiatives Familiarity with semantic modelling, ontologies, or graph data concepts (RDF, OWL, TTL) Exposure to Python or SQL for model design and validation Background in financial services, energy, or large-scale enterprise transformation Why Join? Deliver high-impact data and technology solutions for leading organisations Work More ❯

UK credit bureau data and leveraging it for credit risk analysis. Experience or familiarity with end-to-end life cycle of a retail loan portfolio. Proficiency in SQL and Python for data analysis and risk modeling. Experience working with decision engines and credit risk platforms. Strong analytical skills with the ability to translate data insights into business decisions. Excellent communication More ❯

or equivalent experience Good data modelling, software engineering knowledge, and strong knowledge of ML packages and frameworks Skilful in writing well-engineered code using Spark, and advanced SQL and Python coding skills Experienced in working with Azure Databricks Proven experience working with Data Scientists to deliver best in-class solutions for model deployment and monitoring Great technical and communication skills More ❯

AWS Troubleshooting, Diagnostics & Event Log/Management Solarwinds configuration and management Virtualisation, VMWare vSphere, ESX and ESXi End point protection, DLP and GDPR (Symantec preferred) Scripting: Bash, Perl or Python Network fundamentals (Firewall, DNS, DHCP etc. from a client perspective) (preferred) Capability: Experience of working in a Transitional multi supplier environment within a large-scale organisation Experience of contributing to More ❯

AWS * Troubleshooting, Diagnostics & Event Log/Management * Solarwinds configuration and management * Virtualisation, VMWare vSphere, ESX and ESXi * End point protection, DLP and GDPR (Symantec preferred) * Scripting: Bash, Perl or Python * Network fundamentals (Firewall, DNS, DHCP etc. from a client perspective) (preferred) Capability: * Experience of working in a Transitional multi supplier environment within a large-scale organisation * Experience of contributing to More ❯

and stakeholder influence: Strong experience as an Analyst, ideally in a big data environment . Expertise in SQL (analytical SQL required) and familiarity with tools such as Excel, VBA, Python, R, or similar programming languages. Exposure to dbt or modern data transformation frameworks would be highly desirable. Proven ability to solve both quantitative and qualitative problems with creativity and rigour. More ❯

Advocates What We’re Looking For Essential Skills & Experience: Proven experience as a Data Engineer or similar role, with strong knowledge of data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL More ❯

Qualifications 4+ years of proven experience as a Machine Learning Scientist, Machine Learning Engineer, or equivalent Demonstrated experience developing and deploying ML models throughout the product lifecycle. Proficiency in Python, SQL, and ML frameworks (e.g., TensorFlow, PyTorch, XGBoost, Ray, Keras, Spark). Familiarity with modern DevOps practices and cloud infrastructure (AWS and Snowflake preferred). Practical experience with model testing More ❯

on experience in developing with Odoo and the OCA framework is essential Proven experience in using AI tools for process optimization, code review, or system improvement Excellent knowledge of Python and PostgreSQL , and confident handling of Git , Docker , and CI/CD pipelines Strong commitment to sustainable software architecture, clean code, and a solution-oriented mindset Fluent in English; German More ❯

curious mindset. You are eager to build real things and see them used in the world. A degree in AI, Data Science, Computer Science or a related field Strong Python skills and experience/interest in building end-to-end applications A good understanding of machine learning principles and data analysis Familiarity with LLM frameworks such as LangChain Understanding of More ❯

in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals, fluent in Python, PyTorch, and XGBoost Skilled in developing classification models and anomaly detection systems for production environments Capable of implementing comprehensive data lineage tracking and model governance systems Driven by working in More ❯