Machine Learning Workflow Engineer

Barlowe LLP; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Highly competitive compensation

Annual discretionary bonus

Lunch provided

35 days’ annual leave

9% company pension contributions

Comprehensive healthcare and life assurance

Cycle‑to‑work scheme

Monthly company events

Job summary

Barlowe LLP is seeking exceptional engineers to join their ML Workflows team, focused on building and improving ML research and deployment pipelines. This exciting role involves developing green-field solutions to handle complex ML interdependencies and custom solutions that define best practices.

Candidates from non-financial backgrounds are encouraged to apply. The role offers competitive compensation, generous annual leave, and a dynamic work environment committed to innovation.

Qualifications

• Appreciation of good architecture and MLOps best practice.
• Ability to collaborate with both technical and non-technical personnel.
• Passion for taking ownership of solutions from inception to delivery.
• Proven capability in engineering high-quality software.
• Focus on mid to long-term decision-making.
• Value-oriented with independent prioritization skills.

Responsibilities

• Develop green-field solutions for ML interdependency requirements.
• Implement best practices for feature and model stores.
• Ensure proper versioning of features, data, and models.
• Improve inference compute utilization via model serving.
• Ensure robustness in production, including validation and monitoring.

Skills

MLOps best practice

Collaboration skills

Software engineering

Effective decision-making

Prioritization skills

Job description

Overview

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world‑class researchers and engineers in an environment that values deep exploration and methodical execution – because the best ideas take time to evolve. Together we’re building a world‑class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high‑impact research – designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career.

Responsibilities

We are looking for exceptional engineers to help us build out a mature ML research and deploy pipeline as part of our ML Workflows team. This is an exciting role. You will develop green‑field solutions to meet highly complex ML interdependency requirements. Where off‑the‑shelf tools fall‑short, you’ll build custom solutions to define best practice across quantitative research.

Future Projects

• Implementing best practice feature and model stores
• Properly versioning features, data and models
• Improving inference compute utilisation via model serving
• CI/CD for ML
• Reliably fitting models with complex job dependency graphs
• Robustness in production, including validation and monitoring

Qualifications

• An appreciation of good architecture and MLOPs best practice
• The ability to collaborate with, and influence, technical and non‑technical people
• A passion for end‑to‑end ownership of solutions, from articulation to delivery
• Proven ability to engineer high‑quality software
• Effective decision‑making, with a focus on the mid to long term
• Value‑oriented and able to independently prioritise

Finance experience is not necessary for this role and candidates from non‑financial backgrounds are encouraged to apply.

Benefits

• Highly competitive compensation plus annual discretionary bonus
• Lunch provided (via Just Eat for Business) and dedicated barista bar
• 35 days’ annual leave
• 9% company pension contributions
• Informal dress code and excellent work/life balance
• Comprehensive healthcare and life assurance
• Cycle‑to‑work scheme
• Monthly company events

Equal Opportunity Statement

G‑Research is committed to cultivating and preserving an inclusive work environment. We are an ideas‑driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation, please let us know in the relevant section.

Company Culture

We are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world‑beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.