Staff Python Engineer (ML)

Mimica; City Of London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Generous compensation + stock options

Fully remote work option

Annual learning & development budget

Ample paid time off

Health & retirement benefits

Paid time off

Parental leave

Health benefits

Job summary

A leading technology firm is seeking a skilled software developer to enhance their data orchestration pipeline using Python. Join the Data Intelligence Team to work on AI features, develop observability for ML applications, and mentor peers. The role offers remote flexibility, a supportive work environment, and generous compensation along with various benefits. Ideal candidates have strong backend engineering skills and a passion for continuous learning.

Qualifications

• Experience owning projects from start to finish including speccing and architecture.
• Drive to continually develop skills and reduce technical debt.
• Experience in documenting procedures and guides.
• Knowledge of performance optimization and memory management.
• Familiarity with Kubernetes, Docker and cloud infrastructure.
• Strong analytical and troubleshooting skills.
• Commitment to continuous skill development and reducing technical debt.
• Fluency in English and ability to communicate complex ideas clearly.

Responsibilities

• Write resilient Python applications and integrate with service architecture.
• Develop observability for ML applications and GenAI integrations.
• Communicate with Data Scientists throughout model lifecycle.
• Build integrations and services that communicate with Google Services.
• Collaborate with Data Scientists and ML Engineers across the lifecycle of productionising models.
• Triage and resolve incidents related to CPU, memory, and GPU usage.
• Document procedures and guides for knowledge sharing and onboarding.
• Participate in hiring and onboarding new team members and project management.

Skills

Strong proficiency with Python

Backend Engineering

Strong skills in building maintainable tests

Knowledge of best practices for performance optimisation

Familiarity with Kubernetes

Analytical and troubleshooting skills

Fluency in English

Tools

Grafana Stack

Docker

GCP

Job description

What we are building

Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.

Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.

What you will own

In this role, you will own and support the development of our data orchestration and processing pipeline.

You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.

You will join the Data Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You‘ll have the opportunity to shape our technical direction, architecture processes and culture.

What you will be doing

• Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture.

• Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test

• Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)

• Develop integrations and services that communicate with Google Services.

• Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models

• Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation

• Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring

• Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.

What we're looking for

• Strong proficiency with Python and Backend-Engineering

• Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring

• Strong skills in building maintainable tests, observability and tracing systems.

• Knowledge of best practices for performance optimisation, memory management.

• Familiarity with Kubernetes, Docker and other cloud infrastructure, ops and containerised tools.

• Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions.

• Drive to continually develop your skills, improve team processes and reduce technical debt.

• Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs.

Nice to have:

• Having been a founding/early member of an Engineering team

• Experience working within a fast-growing Scale-up environment – delivering value quickly and iteratively

• Experience with GCP

Location

This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.

What we offer

💰 Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.

🏢 Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.

💻 Company-issued laptop*, remote setup stipend, and co-working budget

📍 Flexible schedules and location

☀️ Ample paid time off, in addition to local public holidays

🍼 Enhanced parental leave

🧘♀️ Health & retirement benefits

📖 Annual learning & development budget - up to £500 / €600 / $650 per year

🌴 Annual workaways and regular virtual & in-person socials

🌍 Opportunity to contribute to groundbreaking projects that shape the future of work

Note: Some benefits may vary depending on location and role

On company equipment: Company-issued equipment (e.g. laptops) is provided for work use and must be returned upon departure, unless otherwise agreed.