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- Tasks: Develop and support our data orchestration and processing pipeline using Python.
- Company: Join Mimica, a pioneering tech company transforming how we work with AI.
- Benefits: Generous salary, stock options, remote work, and annual learning budget.
- Why this job: Shape the future of work with innovative AI solutions and impactful projects.
- Qualifications: Strong Python skills and experience in backend engineering required.
- Other info: Fully remote role with flexible schedules and excellent career growth opportunities.
The predicted salary is between 43200 - 72000 £ per year.
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 categorises them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritises 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.
Staff Python Engineer (ML) in City of London employer: Mimica
Contact Detail:
Mimica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Python Engineer (ML) in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to ML and data orchestration. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially around efficiency and automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at Mimica.
We think you need these skills to ace Staff Python Engineer (ML) in City of London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your strong proficiency in Python. Share specific examples of projects you've owned from start to finish, showcasing your ability to write resilient and robust applications.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it aligns with our mission at Mimica. We love a good story, but make sure it’s easy to follow!
Demonstrate Your Problem-Solving Skills: We’re looking for analytical minds! Include examples of how you’ve tackled complex issues in past projects, especially those related to performance optimisation or troubleshooting. Show us how you think!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Mimica
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with writing resilient and robust applications, as well as any projects you've owned from start to finish. They’ll likely want to hear about your approach to testing and deployment, so have some examples ready.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical and troubleshooting abilities. Think of specific instances where you identified bottlenecks or resolved issues related to CPU, memory, or GPU utilisation. Being able to articulate your thought process will impress them.
✨Familiarise Yourself with Their Tech Stack
Since they work with tools like Kubernetes, Docker, and the Grafana Stack, it’s a good idea to familiarise yourself with these technologies. If you have experience with GCP, make sure to highlight that too. Showing that you understand their environment will set you apart.
✨Emphasise Team Collaboration
This role involves mentoring and collaborating with others, so be prepared to discuss your experience in team settings. Share examples of how you've helped others level up their skills or contributed to a positive team culture. They’re looking for someone who can drive improvements and foster collaboration.
