At a Glance
- Tasks: Join our AI & ML Applications team to build and maintain data pipelines and ML systems.
- Company: Zepz Group powers global remittance brands, transforming finance for cross-border communities.
- Benefits: Enjoy unlimited annual leave, private medical cover, retirement plans, and remote work flexibility.
- Why this job: Be part of a diverse team making a real impact in the world of finance and technology.
- Qualifications: Strong Python skills, ML experience, and a passion for coding and problem-solving are essential.
- Other info: We celebrate diversity and encourage everyone to apply, regardless of background.
The predicted salary is between 43200 - 72000 £ per year.
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Staff Machine Learning Engineer
About Zepz
Zepz Group is the group powering leading global remittance brands: WorldRemit and Sendwave. Zepz Group has been disrupting an industry previously dominated by offline legacy players by reducing the barriers to finance and increasing safety and convenience for users. Every day, Zepz Group and its brands work towards unlocking the prosperity of cross-border communities through finance and technology – driven by the vision of a world that celebrates migrants\’ impact on prosperity, at home and abroad. Zepz served over 9+ million users through its presence in over 4,600 corridors with over 40 send countries and 90 receive countries.
Our commitments:
- We act like owners – We are relentlessly delivering for our users and spending money thoughtfully.
- We embrace embarrassing honesty – We function best when we\’re open and honest with one another – especially about our challenges and doubts.
- We have a bias to action – We get to fixes quickly, iterate and learn.
- We strive to be better – We may make mistakes, but always learn from them.
- We are inclusive – to better reflect and serve our users.
About the role
The AI & ML Applications team is committed to empower other Zepz teams to leverage data in order to solve analytical problems. We are a team of data scientists and machine learning engineers that work together to go from ideation to production. We own end-to-end data engineering pipelines and ML models that span multiple applications (think fraud detection, time series prediction of financial data, churn prediction, and more).
What you will do
- Help shape what we build. Our current tech stack includes Airflow, Fivetran, DBT, Databricks as well as supporting real-time services. Our work is primarily in Python, leveraging some of the most used machine learning packages but you may have to dig into JVM code as well as Terraform from time to time. You will build and maintain data pipelines and scalable machine learning inference systems in production.
- Own delivery. We\’re driven by shipping value; you\’ll own work beyond just a pull request. You\’ll care about bugs, scalability, uptime, and other non-functional requirements.
- Grow together. You\’ll review other\’s work and happily seek feedback on yours to ensure we build a better codebase and sharpen each other\’s skills. We believe in developing our people so you will be an important part of mentoring juniors in the team.
- Collaborate. You\’ll be working closely with Product Owners, Data Scientists, Analysts, and other Engineers to design and refine our work. We work as a team and your input will be key in many architectural decisions (some that you would own) and in driving consensus.
What you bring to the table
- You are a software engineer at heart, and you take pride in writing well-designed, robust, and maintainable code to solve problems. We understand code is read more than it\’s written, and better off tested. Maintainability is a must.
- Extensive industrial experience designing and productionising ML systems.
- Solid understanding of Machine Learning fundamentals and ability to translate business requirements into machine learning solutions.
- Experience in statistical experiment design and performance analysis of machine learning models.
- Strong experience with Python, SQL, and machine learning frameworks. Some data engineering experience is preferred (Databricks and Airflow are some of the platforms we use, but any equivalent experience is appreciated).
- Excellent communication and presentation skills, with the ability to convey complex concepts to technical and non-technical stakeholders.
- Bias for action. You see a problem, you fix a problem. You get buy-in for your solutions and keep tickets moving. We\’re always looking for ways to ship at pace.
- Opinionated. We want you to actively contribute to discussions and help build a shared understanding within the team and organization.
What you\’ll get from us
Please note that the benefits below will apply to permanent roles.
We have five core benefits for our talent in the US, UK, Philippines, Poland, and South Africa, specifically:
- Unlimited Annual Leave: Feel free to make the most of your time off and maintain a healthy work-life balance!
- Private Medical Cover: You can opt-in to a Private Medical Insurance scheme. This provides you with thorough medical coverage, so you can feel confident in your health and well-being.
- Retirement: We offer pension schemes to help you plan for and secure your future.
- Life Assurance: Life assurance is available to give you peace of mind and protect your loved ones in case of the unexpected.
- Parental Leave: We offer competitive parental leave schemes to ensure you are spending as much quality time with your new bundle of joy as possible.
We are also remote-first as an organization, offering flexibility for you to work where you need to be most productive. In addition to the above, you will discover that we have a range of secondary perks (such as the cycle-to-work scheme and employee discounts) depending on your location, to help you thrive at Zepz!
Why choose Zepz?
- Our team of over 1,000 employees is fully distributed across the world. We are working from coffee shops, homes, and co-working spaces – making us one of the larger fully distributed growth-stage startups in the world but we also offer workspace in our talent cluster locations – spaces we can meet, collaborate, and connect.
- We are proud parents, community organizers, farmers, band members, yoga teachers, YouTube influencers, former Olympians, and serial entrepreneurs.
- We collectively speak over twenty languages, including Akuapem, Amharic, Bengali, Ewe, Fante, Ga, Igbo, Kalenjin, Luganda, Oromo, Somali, Swahili, Wolof, Bulgarian, Croatian, Czech, Danish, Dutch, English, Estonian, Finnish, French, German, Greek, Hungarian, Irish, Italian, Latvian, Lithuanian, Maltese, Polish, Portuguese, Romanian, Slovak, Slovenian, Spanish, and Swedish.
- At Zepz, embodying our commitments binds us together. We are collectively passionate about striving to achieve our vision and purpose – to continue to provide the best service to our users.
Ready to Apply?
Applications will be reviewed on a rolling basis. If interested, please submit your resume along with a cover letter (optional), highlighting why your experience demonstrates you meet the requirements of the role. Please also indicate the countries in which you have work authorization.
Confidence can sometimes hold us back from applying for a job. But we\’ll let you in on a secret: there\’s no such thing as a \’perfect\’ candidate. Zepz is a place where everyone can thrive.
So however you identify and whatever background you bring with you, and if at all you might need any form of support to make the process as comfortable as possible, please let us know and give us a shot by applying. We want you to be excited to wake up to make an impact every day.
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Staff Machine Learning Engineer employer: Zepz
Contact Detail:
Zepz Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with Zepz's mission and values. Understanding their commitment to inclusivity and innovation will help you align your responses during interviews, showcasing how your personal values resonate with theirs.
✨Tip Number 2
Brush up on your knowledge of the tech stack mentioned in the job description, particularly Python, Airflow, and Databricks. Being able to discuss your experience with these tools confidently can set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects where you've successfully implemented machine learning solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Network with current or former employees of Zepz on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and the role, which you can leverage during your application and interview process.
We think you need these skills to ace Staff Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data engineering. Focus on projects where you've designed and productionised ML systems, and include specific technologies like Python, SQL, and any frameworks you've used.
Craft a Compelling Cover Letter: Although optional, a cover letter can set you apart. Use it to explain how your background aligns with Zepz's mission and values. Mention your experience with collaborative projects and your approach to problem-solving.
Showcase Your Communication Skills: In your application, emphasise your ability to convey complex concepts to both technical and non-technical stakeholders. This is crucial for the role, so provide examples of how you've done this in past experiences.
Highlight Your Bias for Action: Zepz values a proactive approach. In your application, share instances where you've identified problems and taken initiative to resolve them. This will demonstrate that you align with their commitment to delivering value quickly.
How to prepare for a job interview at Zepz
✨Understand the Tech Stack
Familiarise yourself with the technologies mentioned in the job description, such as Airflow, Fivetran, DBT, and Databricks. Be prepared to discuss how your experience aligns with these tools and how you can leverage them in your role.
✨Showcase Your Problem-Solving Skills
Zepz values a bias for action. Prepare examples of how you've identified problems in past projects and the steps you took to resolve them. Highlight your ability to iterate quickly and learn from mistakes.
✨Emphasise Collaboration
Since the role involves working closely with various teams, be ready to discuss your experience collaborating with product owners, data scientists, and other engineers. Share specific instances where your input led to successful outcomes.
✨Prepare for Technical Questions
Expect questions on machine learning fundamentals and your experience with statistical experiment design. Brush up on your knowledge of Python, SQL, and any relevant machine learning frameworks to demonstrate your technical expertise.