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- Tasks: Design and run experiments to enhance our ML processing system using classic and deep learning techniques.
- Company: Join Mimica, a forward-thinking company revolutionising work efficiency with AI-powered solutions.
- Benefits: Generous salary, stock options, remote work flexibility, and annual learning budget.
- Why this job: Make a real impact on innovative projects that shape the future of work.
- Qualifications: Strong skills in ML experimentation, Python programming, and a curious mindset for problem-solving.
- Other info: Enjoy a dynamic, fully remote environment with opportunities for career growth and collaboration.
The predicted salary is between 48000 - 84000 £ per year.
Join to apply for the Senior/Lead Data Scientist/ML Engineer role at Mimica
Join to apply for the Senior/Lead Data Scientist/ML Engineer role at Mimica
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.
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.
Our approach to engineering
- We prioritize customer needs first
- We work in small, project-based teams
- We have flexibility in terms of the problems we work on
- We own the full lifecycle of our projects
- We avoid silos and encourage taking up tasks in new areas
- We balance quality and velocity
- We have a shared responsibility for our production code
- We each set our own routine to maximize our productivity
What you will own
In this role, you will be a member of the ML Chapter and work with the Mapper team. Mimica Mapper is one of our main products that creates intuitive flowcharts that map out user and team workflows. Its architecture includes components designed to detect task similarities. As part of Mapper’s continuous development, we aim to automate these components to enhance scalability. You will own experiments and the exploration of complex problems that revolve around the task similarity and improving the use of the Mapper.
Part of your day-to-day
- Design and run experiments to improve our ML processing system, using a mix of classic and deep learning techniques.
- Write clear technical reports that document experiments and their results.
- Write clean, readable, and maintainable Python code, assuring best practices.
- Interface with our internal Process Analyst team to discover opportunities on which parts of the product can be automated, find out pain points and explore automation solutions by leveraging ML
- Support productionization (although we have a dedicated MLOps Engineer for that!)
- Actively collaborate and engage in technical discussions with the other Engineers, Product Managers in the team and ML Chapter, to drive the development of the product.
- Contribute to knowledge sharing and the improvement of our processes.
Requirements
- Strong technical skills in setting up, running, and evaluating experiments using both classic and deep learning-based approaches.
- Solid background in tabular data and event data classification.
- A researcher mindset, with curiosity and rigour in exploring and solving complex problems.
- Ability to effectively mix classic and deep learning methods, with a clear understanding of when to apply each.
- Proficiency in supervised and unsupervised learning techniques.
- Excellent written communication skills, including the ability to produce clear and concise reports.
- Strong Python programming skills, emphasising clear, readable code; while productionization support may be involved, it is not the primary focus.
- A drive to continually develop your skills, improve team processes, and reduce technical debt
- Fluency in English, with the ability to effectively communicate abstract ideas, complex concepts, and trade-offs
Bonus
- Graph ML knowledge
- Experience designing, building and maintaining data pipelines
- Experience working in a high-impact, high-ambiguity startup environment, delivering value quickly and iteratively
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.
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Software Development
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Senior/Staff Data Scientist/ML Engineer employer: Mimica
Contact Detail:
Mimica Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior/Staff Data Scientist/ML Engineer
✨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 projects, experiments, and any cool ML models you've built. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past experiences. Practice explaining complex concepts in simple terms – it shows you really understand your stuff.
✨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 team at Mimica.
We think you need these skills to ace Senior/Staff Data Scientist/ML Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in your application. We want to see your experience with classic and deep learning techniques, as well as your Python programming prowess. Don’t be shy about showcasing your projects or experiments!
Be Clear and Concise: When writing your application, clarity is key! Use straightforward language to explain your experiences and how they relate to the role. Remember, we appreciate excellent written communication skills, so make every word count.
Tailor Your Application: Take a moment to tailor your application to Mimica’s mission and values. Show us how your background aligns with our focus on efficiency and automation. A personalised touch can really make you stand out from the crowd!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and let us know why you’d be a great fit!
How to prepare for a job interview at Mimica
✨Know Your ML Techniques
Brush up on both classic and deep learning methods. Be ready to discuss when to apply each technique, as this role requires a solid understanding of supervised and unsupervised learning. Prepare examples from your past work where you successfully implemented these methods.
✨Showcase Your Experimentation Skills
Be prepared to talk about your experience in designing and running experiments. Highlight specific projects where you evaluated results and made data-driven decisions. This will demonstrate your researcher mindset and ability to tackle complex problems.
✨Communicate Clearly
Since you'll need to write clear technical reports, practice explaining complex concepts in simple terms. During the interview, focus on articulating your thoughts clearly and concisely, especially when discussing your past projects and their outcomes.
✨Engage in Technical Discussions
Mimica values collaboration, so be ready to engage in technical discussions with the interviewers. Prepare questions about their current projects and express your interest in contributing to knowledge sharing and process improvement within the team.
