Remote Jobs in the UK

Data modeling
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📍 Brazil

🧭 Full-Time

🔍 Software Development

🏢 Company: Grupo QuintoAndar

  • Solid understanding of the engineering challenges of deploying machine learning systems to production;
  • Solid understanding of systems, software and data engineering best practices;
  • Proficiency with cloud-based services;
  • Proficiency in Python or another major programming language;
  • Have experience building backend systems, event driven architectures and rest/http applications
  • Have experience building solutions with LLMs (RAG, fine-tuning);
  • Have experience building AI agents and AI powered applications, familiarity with agentic frameworks (LangGraph, LangChain, AutoGen, CrewAI);
  • Experience leading teams and managing careers.
  • Lead a small team of Data Scientists and Machine Learning Engineers to build solutions based on AI/ML.
  • Be a technical reference to the team, including doing hands-on engineering work.
  • Shaping the technical direction of our products, translating business requirements into solutions.
  • Discuss business requirements with the Product Manager and other stakeholders.

AWSBackend DevelopmentDockerLeadershipProject ManagementPythonSoftware DevelopmentSQLArtificial IntelligenceCloud ComputingKubernetesMachine LearningSoftware ArchitectureAlgorithmsData engineeringData scienceData StructuresREST APICommunication SkillsCI/CDAgile methodologiesRESTful APIsExcellent communication skillsProblem-solving skillsTeam managementTechnical supportData modeling

Posted about 6 hours ago
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📍 United States

🧭 Full-Time

💸 160000.0 - 185000.0 USD per year

🔍 Healthcare

🏢 Company: House Rx👥 51-100💰 $25,000,000 Series A about 3 years agoMedicalHealth Care

  • 5+ years of experience as a full-stack or backend engineer
  • Demonstrated mastery in PostgreSQL: schema design, optimization, migrations, complex query writing
  • Strong backend development skills with Node.js and Typescript
  • Experience designing, building, and scaling APIs
  • Familiarity with using AI tools (e.g., Copilot, ChatGPT, Tabnine) in development workflows
  • Design, refactor, and optimize PostgreSQL database schemas, queries, and indexes to support scalable application growth
  • Lead and contribute to backend development using Node.js and Typescript
  • Collaborate with product and engineering teams to architect data flows and APIs that meet business needs
  • Proactively identify performance bottlenecks and implement database best practices
  • Use AI-powered tools to enhance productivity, improve code quality, and accelerate development workflows
  • Optionally contribute to the frontend (React/Typescript) if you’re full-stack inclined
  • Share your expertise by mentoring teammates in clean database architecture and backend engineering best practices

Backend DevelopmentNode.jsPostgreSQLSQLFull Stack DevelopmentTypeScriptAPI testingRESTful APIsData modeling

Posted about 6 hours ago
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🔥 Analytics Engineer
Posted about 7 hours ago

📍 GBR

💸 38600.0 - 55267.0 GBP per year

🏢 Company: wiley_careers

  • Extensive experience with SQL, understanding of advanced procedures and optimization of queries, experience working with large sets of data within relational databases. (Snowflake/BigQuery preferred)
  • Experience working with marketing data use cases. Specifically around audience creation, user data augmentation and advanced reporting.
  • An ability to identify quickly the commercial value in data, experience of having delivered return on time investment through development of data assets at scale.
  • Able to collaborate and share ideas with non-technical colleagues, explaining complex solutions in as simple as possible way to ensure collective understanding.
  • Enhancing Marketing Insights: Leverage creative and technical skills to transform business data into valuable marketing assets, thereby enhancing the depth and quality of our marketing insights.
  • Collaborative Data Curation: Collaborate with technical data colleagues to curate and maintain sources of marketing insight and audience lists, ensuring that our data assets are well-managed and up-to-date.
  • Campaign Capability Enhancement: Contribute to projects aimed at improving our campaign capabilities, enabling more effective and targeted marketing strategies that drive business growth.
  • Data Governance and Transparency: Adhere rigorously to data governance and transparency requirements, ensuring the ethical and compliant use of data while building trust with customers and stakeholders.
  • Continuous Improvement: Actively seek opportunities to innovate and make Wiley's marketing data assets among the best in the industry, contributing to the company's ongoing success in the field.

SQLData AnalysisSnowflakeMarketingData modelingData analytics

Posted about 7 hours ago
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📍 Spain

🧭 Full-Time

🏢 Company: Rossum👥 251-500💰 Debt Financing over 1 year agoArtificial Intelligence (AI)SaaSMachine LearningDocument ManagementSoftware

  • Ex-programmer
  • Love solving puzzles
  • Communicate designs and ideas clearly and descriptively
  • Asking the right questions
  • Understand the general principles of good security practices
  • UX-sensitive
  • Understanding customers' needs and tailoring customized solutions.
  • Creating descriptive and actionable backlogs for developers based on customer requirements.
  • Contextualizing technical decisions by their business impact.
  • Communicating designs and ideas clearly, ensuring developers can follow through effectively.
  • Asking the right questions to reveal customer pain points and their true source.
  • Identifying potential security risks to both the solution and the overall delivery process.

AWSPostgreSQLPythonDjangoFlaskJavascriptKubernetesSoftware ArchitectureREST APICommunication SkillsRESTful APIsStakeholder managementData modelingCustomer Success

Posted about 7 hours ago
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📍 LATAM

🔍 Telecommunications

🏢 Company: Nearsure👥 501-1000Staffing AgencyOutsourcingSoftware

  • 5+ Years of experience in Data Architecture, including designing robust data models (e.g., Splunk CIM, star/snowflake schemas) and data governance frameworks tailored to large-scale, high-volume telemetry data (preferably within telecommunications).
  • 3+ Years of hands-on experience in at least two of the following observability platforms: Splunk (including Splunk Search Processing Language – SPL, and Common Information Model – CIM), ELK Stack (Elasticsearch, Logsearch complex pipelines, Kibana dashboards), Grafana and Prometheus for implementing observability solutions.
  • 2+ Years of strong scripting skills (e.g., Python, Bash, PowerShell) for automation of telemetry system deployment, configuration management, and operational tasks.
  • Experience designing and implementing observability solutions with audit trails for user/system activities.
  • Familiarity with distributed tracing concepts and tools (e.g., OpenTelemetry, Grafana Tempo, Jaeger).
  • Understanding of telco network architectures (4G/LTE, 5G) and common data sources (CDRs, IPDRs, signaling data).
  • Proven experience designing scalable observability systems in telco or high-throughput environments.
  • Knowledge of security best practices for telemetry platforms (data encryption, RBAC).
  • Experience with cloud environments (AWS, Azure or GCP) and native cloud monitoring tools (CloudWatch, Azure Monitor or Google Operations Suite).
  • Experience designing and implementing data warehousing or data lake solutions for high-volume telemetry data.
  • Design, implement, and manage telemetry systems to enhance telecommunications operations.
  • Develop and optimize telemetry and observability platforms using tools like Splunk, ELK Stack, Grafana, and distributed tracing solutions.
  • Ensure network performance, service assurance, and security through advanced telemetry strategies.

AWSPythonBashCloud ComputingGCPAzureGrafanaCI/CDData modeling

Posted about 7 hours ago
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📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Spring & Bond👥 11-50Digital MarketingAdvertisingDigital MediaConsulting

  • Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
  • 5+ years of analytics experience
  • Minimum of 4 years’ hands-on experience in machine learning and relational databases.
  • Proficient in data manipulation using SQL, Python, and/or similar programming languages.
  • Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
  • Strong project-management skills managing cross-functional workflows.
  • Proven ability to build and maintain client relationships.
  • Mentor data scientists, fostering collaboration and professional growth.
  • Develop and execute a data-science strategy aligned with company objectives.
  • Design, implement, and optimize predictive models and machine-learning algorithms.
  • Partner with software engineers, product managers, and business units to deliver client-facing solutions.
  • Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
  • Manage model lifecycle: design, training, evaluation, validation, and deployment.
  • Translate complex analytical results into clear business recommendations and compelling visualizations.
  • Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
  • Analyze digital trends, user behavior, and product performance.
  • Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
  • Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
  • Support measurement strategies, including learning agendas, test plans, and frameworks.
  • Collaborate regularly with stakeholders to address digital data needs and challenges.
  • Educate research and business teams on data-best practices and infrastructure.

PythonSQLData AnalysisMachine LearningSnowflakeAlgorithmsData scienceData visualizationData modeling

Posted about 7 hours ago
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📍 United States of America

💸 130000.0 - 140000.0 USD per year

🔍 Healthcare

🏢 Company: teladochealth_is_hiring

  • Minimum of 6+ years of experience in business analytics, marketing analytics, or a related data-driven field​
  • Intermediate proficiency with SQL, Tableau, DOMO, or Power BI​ visualization tools
  • Demonstrated ability to translate complex data into clear narratives and actionable recommendations​
  • Intermediate experience with digital marketing metrics (CPM, CPA, CTR, conversion rate) and media measurement techniques​
  • Bachelor’s degree in Business, Marketing, Analytics, Economics, or related field
  • Partner with Consumer Marketing teams to deliver timely and actionable campaign insights across digital and offline channels​
  • Build and maintain performance dashboards (e.g., Tableau, DOMO) that track KPIs such as ROMI, ROAS, NPS, and registration volume​
  • Support daily, weekly, and monthly business reviews with insight packages, opportunity diagnostics, and strategic guidance​
  • Analyze campaign effectiveness, test-and-learn results, and audience trends to guide marketing optimization​
  • Contribute to forecasting models and budget performance diagnostics in collaboration with Finance and Strategy​
  • Maintain data quality and accuracy across marketing performance reports, coordinating with Data Engineering and Martech teams​
  • Help define and evolve standard KPI definitions and performance frameworks across marketing functions​
  • Educate and empower marketing stakeholders on data literacy and insights self-service tools​

SQLBusiness AnalysisBusiness IntelligenceData AnalysisMicrosoft Power BITableauRESTful APIsReportingData visualizationMarketingDigital MarketingData modelingData analyticsA/B testing

Posted about 7 hours ago
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📍 United States

🔍 Marketplace, Pet Transportation

🏢 Company: CitizenShipper

  • 3–7 years of hands-on product design experience at startups or in founder-style roles
  • Have shipped real features with real metrics in production — not just concept decks
  • Think in flows, not screens — you design systems, not just pages
  • Are deeply collaborative, low ego, and high output
  • Have strong opinions, weakly held — you want feedback, not permission
  • Care as much about usability and performance as you do aesthetics
  • Are comfortable working 60–80 hour weeks on something you believe in
  • Live for the craft. You get high on improving the experience.
  • Own and drive the entire product design process, from idea to prototype to handoff
  • Translate customer pain points into experiences that feel like magic
  • Design flows that reduce friction, increase trust, and drive conversions
  • Build scalable, flexible systems (and tear them down when needed)
  • Collaborate with engineers and product leads to ship real stuff fast
  • Use data and intuition to refine and evolve your work, always improving
  • Turn user problems into elegant, delightful interfaces that actually work
  • You won’t be told what to design. You’ll tell us what needs to exist — and why.

FigmaUI DesignUser Experience DesignProduct DevelopmentProduct designCommunication SkillsAnalytical SkillsCollaborationSketchRESTful APIsData visualizationData modelingPrototypingA/B testing

Posted about 7 hours ago
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📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

  • 5+ years of experience building scalable backend applications and APIs.
  • Proficiency in Go, Python, or Java, with a strong grasp of SQL and NoSQL databases (e.g., Bigtable, BigQuery, DynamoDB).
  • Experience working with cloud infrastructure, preferably AWS or GCP, and CI/CD pipelines.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Strong problem-solving and analytical skills, with the ability to communicate complex concepts clearly.
  • Design and implement ETL pipelines capable of processing large-scale datasets efficiently.
  • Build and maintain robust APIs for data retrieval, including support for complex query types.
  • Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.
  • Transform raw data into structured, high-value data products to support business and operational decisions.
  • Collaborate with internal stakeholders to align data architecture with product and customer needs.
  • Document technical processes and mentor junior team members.
  • Ensure performance, security, and scalability across the data platform.

AWSBackend DevelopmentDockerPythonSQLDynamoDBETLGCPJavaKubernetesAPI testingData engineeringGoNosqlCI/CDRESTful APIsData modelingSoftware EngineeringData analytics

Posted about 8 hours ago
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📍 Ireland, United Kingdom, Portugal, Spain, Poland

🔍 SaaS

🏢 Company: Zyte👥 251-500💰 $3,000,000 Debt Financing over 3 years agoBig DataCloud ComputingSaaSPaaSData MiningSoftware

  • 5+ years demonstrated success in an Account Management or Customer Success role in a technical SaaS business.
  • 3+ years experience in a leadership role.
  • Technical background, or experience supporting technical software solutions.
  • Strong analytical skills, aptitude for metrics and data-driven decision-making skills.
  • Customer-centric and relationship-oriented at your core, you are committed to ensuring our customers’ success and adoption of Zyte’s products.
  • Proven track record of achieving results while balancing demanding expectations.
  • Driven, consultative, curious, entrepreneurial mindset, able to effectively balance competing priorities and make decisions that support Zyte’s growth.
  • Lead our total customer engagement, retention and development strategy to deliver on our retention, expansion and revenue targets.
  • Manage success metrics across the team around product & feature consumption, active users, health score, retention, cross-sell/upsell and lifetime value.
  • Lead onboarding and retention by driving programmes of adoption to maximise the value customers get from our products.
  • Lead routines to establish customer success goals, proactively monitor achievement of these, ensure collaborative approaches to business reviews with customers with shared agendas and agreed outcomes
  • Actively develop new customer opportunities, advance existing opportunities or assist the Sales team in closing active opportunities by demonstrating industry expertise to gain the prospective customer’s confidence as a trusted partner and adviser.
  • Provide voice of the customer input into product enhancements based on identified and anticipated customer needs.
  • Data-driven - use internal systems and operational data sources to optimise health scores and monitoring for KPIs, actions and strategy.
  • Measure and report CS metrics to Senior Management to demonstrate the team’s impact on customers and on the business.

LeadershipBusiness IntelligenceData AnalysisBusiness OperationsProduct AnalyticsAnalytical SkillsRESTful APIsAccount ManagementReportingClient relationship managementCross-functional collaborationSales experienceData visualizationStrategic thinkingFinancial analysisData modelingCustomer supportCustomer SuccessSaaS

Posted about 8 hours ago
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