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- Tasks: Develop and support AI-powered data orchestration and processing pipelines using Python.
- Company: Join Mimica, a forward-thinking tech company revolutionising workplace efficiency.
- Benefits: Generous salary, stock options, remote work, flexible schedules, and learning budgets.
- Other info: Fully remote role with excellent career growth and team collaboration opportunities.
- Why this job: Shape the future of work with innovative AI projects and make a real impact.
- Qualifications: Strong Python skills, backend engineering experience, and a passion for mentoring.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
- Further 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. 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 London employer: Mimica
Contact Detail:
Mimica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Python Engineer (ML) in 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 common technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use platforms that offer coding challenges to sharpen your skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Mimica.
We think you need these skills to ace Staff Python Engineer (ML) in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your proficiency in Python throughout your application. We want to see how you've used it in past projects, especially in backend engineering and ML systems.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that’s easy to read!
Demonstrate Your Problem-Solving Skills: Share examples of how you've tackled challenges in previous roles. We love seeing candidates who can methodically break down problems and come up with effective solutions, especially in high-pressure situations.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. 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 Python applications, especially in a service architecture. Prepare to showcase how you've built resilient and robust applications in the past.
✨Showcase Your Project Ownership
Be prepared to talk about projects you've owned from start to finish. Highlight your role in speccing, architecture, development, testing, and deployment. This will demonstrate your ability to manage the entire lifecycle of a project, which is crucial for this position.
✨Familiarise Yourself with Observability Tools
Since the role involves developing observability for ML applications, make sure you understand tools like Grafana, Prometheus, and Loki. Be ready to discuss how you've implemented observability in your previous work and how it improved system performance.
✨Communicate Clearly and Effectively
Fluency in English is key, so practice explaining complex concepts in simple terms. You might be asked to communicate abstract ideas or trade-offs during the interview, so think about how you can convey your thoughts clearly and concisely.