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Thoughtworks

Thoughtworks

www.thoughtworks.com

2 Jobs

11,358 Employees

About the Company

Design. Engineering. AI

We are a global technology consultancy that delivers extraordinary impact by blending design, engineering and AI expertise.

For over 30 years, our culture of innovation and technological excellence has helped clients strengthen their enterprise systems, scale with agility and create seamless digital experiences.

We’re dedicated to solving our clients' most critical challenges, combining AI and human ingenuity to turn their ambitious ideas into reality.

Listed Jobs

Company background Company brand
Company Name
Thoughtworks
Job Title
Senior Data Engineer
Job Description
**Senior Data Engineer** **Role Summary** Design, build, and maintain data infrastructure and platforms to support data applications. Lead technical delivery of data solutions using modern big data tools and collaborative problem-solving. **Expectations** Deliver end-to-end data solutions aligned with business goals. Develop scalable architectures for data processing, modeling, and pipeline deployment. Foster collaboration with data science teams. Apply data governance, security, and quality practices. **Key Responsibilities** - Architect and operate data platforms for distributed systems. - Develop complex data pipelines and models to solve client challenges. - Implement data-centric applications using distributed storage/processing tools. - Write clean, test-driven code and apply continuous delivery practices. - Collaborate on data governance, privacy, and security frameworks. **Required Skills** - **Technical**: Data pipeline development, data modeling, distributed systems (e.g., cloud platforms, data mesh), SQL/NoSQL databases, TDD, CI/CD, data visualization, and data security/privacy expertise. - **Professional**: Stakeholder alignment, adaptability in ambiguous environments, conflict resolution, coaching/mentoring, and advocacy for technical excellence. **Required Education & Certifications** Not explicitly specified. Strong practical experience in data engineering and relevant technologies is emphasized.
London, United kingdom
Hybrid
Senior
28-09-2025
Company background Company brand
Company Name
Thoughtworks
Job Title
Lead Machine Learning Engineer
Job Description
Job Title: Lead Machine Learning Engineer Role Summary: Lead end-to-end development of scalable machine learning systems using modern architectures, combining technical expertise with strategic leadership to align ML initiatives with organizational goals. Drive innovation through hands-on technical leadership, cross-functional collaboration, and continuous improvement of ML practices. Expactations: Lead program inception and execution of high-stakes ML projects; bridge client needs with technical solutions; ensure system performance, scalability, and maintainability; champion Responsible AI and MLOps principles; mentor teams and foster a culture of technical excellence. Key Responsibilities: - Design and implement scalable ML systems, pipelines, and models end-to-end. - Translate client requirements into ML-driven solutions and oversee deployment. - Architect infrastructure for ML training, serving, and monitoring (on-premise-cloud). - Advocate for technical strategies aligned with business priorities and ML lifecycle best practices. - Guide teams through complex technical challenges and promote cross-functional collaboration. - Measure ML project impact and refine approaches to maximize client value. Required Skills: - Proficiency in Python/Shell for clean, scalable code; experience with Scikit-learn, TensorFlow, PyTorch, MLFlow, Kubeflow. - Expertise in MLOps, CI/CD pipelines, cloud platforms (AWS, Azure, GCP/Databricks). - Design and operation of distributed systems for high-volume ML workloads. - Strong understanding of ML algorithms, model optimization, and evaluation metrics. - Leadership in stakeholder management, conflict resolution, and mentorship. Required Education & Certifications: Bachelor's/Master's in Computer Science, Data Science, or related field; 5+ years ML engineering experience; Cloud ML certifications (Google Cloud, AWS, Azure) preferred.
London, United kingdom
On site
Senior
10-11-2025