eFinancialCareers
Our client is a highly regarded quantitative investment firm seeking a Research Engineer to join a growing technology team focused on enabling data-driven research. This position centres on developing Python-based tooling, data infrastructure, and workflow frameworks that allow researchers to efficiently work with large-scale financial and alternative datasets.
The ideal candidate will have experience building research platforms, orchestrating complex data workflows, and supporting machine learning research environments. A strong focus on data quality, MLOps, and GPU-enabled computing is essential.
Key Responsibilities
- Design, build, and maintain Python-based research tools and infrastructure.
- Develop scalable frameworks to support data analysis, feature generation, and research workflows.
- Curate and manage large, complex data-sets, ensuring high standards of quality, consistency, and accessibility.
- Enhance data pipelines for ingestion, validation, transformation, and distribution.
- Collaborate closely with research teams to translate requirements into robust engineering solutions.
- Support machine learning operations, including automation, experiment tracking, and reproducibility.
- Optimise GPU-enabled environments to improve research efficiency and performance.
- Work alongside platform and infrastructure teams to ensure systems are scalable, reliable, and well-governed.
Required Experience
- Strong software engineering background with Python as a core development language.
- Experience building research platforms, data infrastructure, or data-intensive applications.
- Proven experience working with large-scale data-sets in a research, quantitative, or analytical environment.
- Strong understanding of data management, governance, and quality control.
- Experience designing and supporting orchestration frameworks and large-scale data processing workflows.
- Familiarity with MLOps principles, tooling, and best practices.
- Experience supporting GPU-based workloads for machine learning or research applications.
- Excellent problem-solving skills and strong attention to detail.
- Ability to work effectively with researchers, data scientists, and engineering teams.
To apply for this job please visit www.reed.co.uk.
Make this application stronger
Use these quick checks before applying so your CV, interview preparation and job search are better matched to this vacancy.
Before you apply
Check the key details and make sure the role matches what you are looking for.
- Review the job title, company, location, salary and working pattern if provided.
- Check the skills, experience or qualifications requested by the employer.
- Make sure the commute, hours and contract type are realistic for you.
Tailor your CV
For IT Jobs, highlight the most relevant skills, experience and achievements linked to this type of work. Keep it honest, clear and focused on what the employer is asking for.
Use the CV Builder or browse Career Advice.
Prepare for interview
If your application is successful, prepare simple examples that show your motivation, strengths and suitability.
Keep searching smarter
Do not rely on one application. Keep searching similar roles and set up alerts so new vacancies reach you faster.