Une société du Tenth Revolution Group

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For CDI & Freelance

Senior Machine Learning Engineer

USA, Texas, Dallas

  • $180,000 to $250,000 USD
  • Engineer Role
  • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
  • Seniority: Senior

Description du poste

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Lead Quality Engineer - Gen AI

England, London, City of London

  • £70,000 to £85,000 GBP
  • Engineer Role
  • Skills: Quality Engineer, Engineering, GenAI, Gen AI, Generative AI, Artificial Intelligence, DevSecOps, QE, Testing
  • Seniority: Senior

Description du poste

Lead Quality Engineer - Gen AI - £85,000 + 10% - London - Hybrid



Company Overview:

My client is a global leader in the insurance industry, serving millions of customers worldwide. With strong financial foundations established over decades, their commitment to utilising innovative solutions and cutting-edge technologies is a key pillar of their recent success. They are also dedicated to ensuring the well-being and happiness of their employees through very flexible hybrid working patterns, as well as other amazing benefits, and a great company culture - over 4 out of 5 employees would recommend working here.



Role Overview:

As a Lead Quality Engineer you will play a major role in leading and contributing to continuous investment and growth across my clients platforms. You will establish Gen AI Quality Engineering capabilities through your knowledge, experience and ability to lead. You will be tasked with designing and evaluating these solutions, as well as assessing, tweaking and perfecting such processes.

This is an amazing opportunity to spearhead cutting-edge technological advancements with a major cooperation.



Requirements:

* Experience Leading and Growing a QE Team
* Generative AI Experience
* Strong Core Engineering Experience
* API Testing Experience



Benefits:

* Up to 10% Bonus
* Up to 14% Pensions Contribution
* 29 Days Annual Leave + Bank Holidays
* Free Company Shares



Interviews ongoing don't miss your chance to secure a role at the forefront of a digital revolution.



Contact me @ j.shaw-bollands@tenthrevolution.com or on 0191 338 6641.















Quality Engineer, Engineering, GenAI, Gen AI, Generative AI, Artificial Intelligence, DevSecOps, QE, Testing

Data Engineer (m/w/d)

Germany, Nordrhein-Westfalen, Cologne

  • €70,000 to €100,000 EUR
  • Engineer Role
  • Skills: AI (artificial intelligence), Data Engineering, Data Science, Snowflake, Azure, DevOps, CI/CD, Databricks, ETL, RAG, Retrieval-Augumented Generation, Airflow, Dagster, Python, SQL, Microsoft Azure, AWS, Redshift, künstliche Intelligenz, Terraform, Docker, Kubernetes
  • Seniority: Mid-level

Description du poste

Position: Data Engineer (m/w/d)

Momentan suche Ich für ein Partnerunternehmen (Endkunde) einen Data Engineer (m/w/d).

Ihre Aufgaben:

Daten-Infrastruktur optimieren: Sie verbessern und skalieren unsere Cloud-Datenplattform mit Technologien wie Azure, Databricks und Snowflake.

Betrieb & Sicherheit gewährleisten: Sie sorgen für eine stabile, leistungsfähige und sichere Datenplattform, inklusive ETL-Prozessen und KI-Modelle.

Automatisierung vorantreiben: Sie entwickeln und optimieren ETL-Pipelines und CI/CD-Prozesse für effizientere Abläufe.

Neue Technologien einsetzen: Sie unterstützen innovative Lösungen wie Retrieval-Augmented Generation (RAG) und Vektordatenbanken.

Dokumentation & Best Practices: Sie erstellen und pflegen technische Dokumentationen und Architektur-Blueprints.

Ihr Profil:

Erfahrung mit Cloud-Datenplattformen: Sie haben bereits mit modernen Datenplattformen gearbeitet und kennen sich mit Sicherheit, Netzwerken und Authentifizierung aus.

Automatisierung & Infrastruktur: Sie haben Erfahrung mit CI/CD-Pipelines, Terraform sowie Container-Technologien wie Docker und Kubernetes.

Daten-Tools: Sie kennen sich mit Databricks aus, idealerweise auch mit Snowflake und Orchestrierungstools wie Airflow oder Dagster.

Programmierung: Sie beherrschen Python und setzen es für datengetriebene Anwendungen ein.

Ausbildung: Sie haben ein Studium in Informatik, Datenwissenschaft oder einem verwandten Bereich abgeschlossen.

Sprachen: Sie sprechen fließend Deutsch (mind. C1) und Englisch.

Das wird ihnen geboten:

- Ein sicherer Arbeitsplatz mit unbefristetem Festanstellungsvertrag in einer wachstumsstarken Branche

- Ein attraktives Gehalt sowie eine betriebliche Altersvorsorge

- Ein Mitarbeitenden-Restaurant

- Ein Hybrides Arbeitsmodel

- Gelebter Teamgeist, flache Hierarchien und kurze Entscheidungswege

- Genügend Freiraum, um Verantwortung zu übernehmen und die eigenen Fähigkeiten aktiv einzubringen

Bewerbung:

Um Dich auf diese Stelle zu bewerben, sende Deinen vollständigen Lebenslauf unter Angabe Deiner Gehaltsvorstellung an f.sarwar@tenthrevolution.com . Bei weiteren Fragen stehen wir Dir auch telefonisch unter 0221 6503 3904 zur Verfügung.

Die Frank Recruitment Group ist einer der globalen Marktführer in der Vermittlung von IT-Spezialisten. Seit 2006 vermitteln wir qualifizierte Fachkräfte für Jobs und Projekte an Unternehmen aller Art und Größe. Vom Start-Up, das einen Entwickler braucht, bis hin zu internationalen Unternehmen, die ein komplettes Team an einem neuen Standort aufbauen - wir sind der passende Ansprechpartner.

Wir sind Teil der Tenth Revolution Group und verbunden mit dem Unternehmen TPG Growth, zu dem Marken wie Uber, Airbnb, Survey Monkey und Spotify gehören.

Impressum - https://www.frankgroup.com/de/impressum/

Nouveau

Data Engineer

USA, Texas, Dallas

  • $80,000 to $135,000 USD
  • Engineer Role
  • Skills: AWS, SQL, Apache Airflow, Azure, python, spark
  • Seniority: Mid-level

Description du poste

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Senior Machine Learning Engineer

USA, Texas, Houston

  • $180,000 to $250,000 USD
  • Engineer Role
  • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
  • Seniority: Senior

Description du poste

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Houston office, with a hybrid work policy that requires 3 days per week on site.

Nouveau

Senior Backend Engineer (AWS)

USA, Texas, Fort Worth

  • $140,000 to $180,000 USD
  • Engineer Role
  • Skills: AWS Lambda, Serverless AWS, Node.js
  • Seniority: Senior

Description du poste

Tenth Revolution Group are working with a fast-scaling, Texas-headquartered niche technology pioneer as they look to hire a hands-on, impact-driven Senior Backend Engineer to propel the next wave of their cloud-native and AI-enabled products. The company's sustained commercial wins have fuelled continuous growth, expanding a Technology department that prizes curiosity, rapid experimentation, and precision engineering. Colleagues thrive in an environment where shipping scalable serverless solutions is celebrated and tinkering with applied AI features is part of everyday problem-solving. Engineering decisions are data-backed, architecture discussions are lively, and successes are quickly rolled into the roadmap to keep momentum high.



TECHNICAL REQUIREMENTS:

* Proven success designing, developing, and operating large-scale backend services on AWS using a serverless architecture paradigm.
* Expert-level proficiency in Node.js for building robust, modular, and testable micro-services.
* Deep hands-on mastery of AWS Lambda, including authoring, deploying, and tuning high-throughput functions and integrating them with API Gateway, EventBridge, DynamoDB, and SQS.
* Demonstrated capability to select and implement the most appropriate AWS Serverless components (e.g., Step Functions, AppConfig, SAM/CDK) to achieve low-latency, cost-efficient solutions.
* Track record of shipping production AI-powered functionality: designing data pipelines, integrating ML/LLM services or custom models, and monitoring real-world performance at scale.
* Solid grounding in software architecture patterns (event-driven, micro-services, domain-driven design) with evidence of balancing speed, maintainability, and reliability.
* History of implementing automated CI/CD pipelines and infrastructure-as-code (CloudFormation or CDK) to achieve rapid, reliable deployments.
* Confident in writing performance-focused, unit-tested, and observability-enabled code (metrics, logs, traces) that withstands heavy load.
* Comfortable leading technical decision-making, performing code reviews, and mentoring others through example and deep domain knowledge.



Whilst this position is primarily remote, the organization requires candidates to reside in Texas to accommodate the occasional, albeit rare, on-site visit requirements for certain business critical projects/operations/processes which take place at the company headquarters in the Dallas-Fort Worth metroplex.

Data Engineer

Spain, Madrid

  • €40,000 to €48,000 EUR
  • Engineer Role
  • Skills: MS SQL Server, SQL, Python, AWS
  • Seniority: Mid-level

Description du poste

Como Data Engineer, serás responsable de gestionar y optimizar las bases de datos, especialmente en SQL Server, y desarrollar modelos de datos financieros a gran escala. Trabajarás en la implementación de procesos ETL, gestionarás entornos cloud como AWS y crearás soluciones de reporting con Power BI. Buscamos un perfil con experiencia en el sector financiero y expertise en SQL Server.

Rol y Responsabilidades

* Responsable de la gestión y optimización de bases de datos: Supervisar el diseño y desarrollo de modelos de datos financieros a gran escala, utilizando SQL Server.
* Desarrollo y mantenimiento de ETLs: Implementar procesos eficientes en SQL y Python para la integración y transformación de datos.
* Gestión de entornos cloud y escalabilidad: Supervisar el uso de tecnologías como AWS RDS, Lambdas, Docker y EMR, con un enfoque en soluciones escalables y de alto rendimiento.

Skills y Experiecia

* Experto en SQL Server: Amplia experiencia en desarrollo, optimización de consultas y diseño de modelos de datos financieros.
* Experiencia con herramientas de transformación de datos: Conocimientos en ETLs, AWS y lenguajes como Python.
* Conocimientos en sistemas de reporting y BI: Capacidad para diseñar y desarrollar cuadros de mando con herramientas como Power BI.

Beneficios

* Salario competitivo según experiencia: 40.000€ - 48.000€
* Variable asegurado y beneficios
* Modalidad híbrida en Madrid (2 días/semana en remoto)