At a Glance
- Tasks: Lead the development of ML-driven features for wastewater network solutions.
- Company: Join a fast-growing company focused on impactful real-world problems.
- Benefits: Competitive salary, opportunities for skill development, and a collaborative team environment.
- Other info: Great career growth potential and a chance to work on exciting projects.
- Why this job: Make a real difference with innovative ML techniques in a dynamic setting.
- Qualifications: 5+ years in Data Science or ML Engineering; strong Python skills required.
The predicted salary is between 60000 - 80000 £ per year.
This is a pragmatic and delivery-focused role in the use of data, analytics, and ML to deliver predictive outcomes for StormHarvester customers as part of our product. This role is ideal for a Senior Data Scientist or Senior ML Engineer who wants to work on impactful real-world problems and take ownership of your work. You’ll be part of a fast-moving, collaborative team with room to develop your skills in applying novel ML & AI techniques.
We are seeking a Senior Machine Learning Engineer to contribute to the development and deployment of ML-driven features in our core wastewater network platform focusing on predicting sewer behaviour. You will work within the Data & Modelling engineering team with a focus on improving our existing ML processes and designing and integrating new data-driven strategies into existing products to help add insight for our customers. This role will be involved with (and lead) the development of a new ML-driven feature from ideation to proof of concept to deployment to integration with the product. This will involve:
- Gaining an understanding of the domain and existing StormHarvester product
- Exploratory data analysis and visualisation
- Conceptualising solutions and presenting to internal and external stakeholders
- Helping define and develop the strategy to deploy the approach at scale
- Integration of solutions into the product
Requirements
- A third level qualification in Data Science, Computer Science, or a data/ML driven equivalent.
- 5+ years of experience in Data Science, ML Engineering, Data Analytics, or a related speciality.
- Experience with Python (Pandas, Scikit-learn or equivalent).
- Experience with data exploration and visualisation.
- Strong presentation and communication skills.
- Willingness to engage and work with others as part of a team with shared direction.
- Strong work ethic with an understanding that this is a fast-growing company with lots of opportunities to make improvements and to move quickly.
- Ability to review and provide feedback as needed to other teams on areas for improvements and updates.
- Passionate about work, output and quality.
- Can-do, problem-solving mindset.
- Curious and willing to onward develop and learn in ML/AI area.
Desirable Criteria:
- Experience with AWS services (or transferable cloud experience)
- Experience modelling time series data
- Familiarity with Geospatial (GIS) data
- Familiarity with MLOps principles
- Familiarity and experience with agile development in delivery.
- Experience of Continuous Integration/Development and Tooling
Senior Data Analytics & Machine Learning Engineer in Belfast employer: Description This
At StormHarvester, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our team is dedicated to tackling real-world challenges in wastewater management through cutting-edge data analytics and machine learning, providing ample opportunities for professional growth and skill development. Located in a dynamic environment, we offer a unique chance to make a meaningful impact while working alongside passionate colleagues who share a commitment to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analytics & Machine Learning Engineer in Belfast
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences related to data analytics and machine learning. It's a great way to connect with potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive analytics or ML solutions. This will give you an edge when discussing your experience during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with common ML algorithms. Practice coding challenges and be ready to explain your thought process clearly.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with the role and our mission.
We think you need these skills to ace Senior Data Analytics & Machine Learning Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Data Analytics & Machine Learning Engineer. Highlight your experience with Python, data exploration, and any relevant projects that showcase your skills in ML and data analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission at StormHarvester. Don’t forget to mention specific experiences that demonstrate your problem-solving mindset.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, showing off your hands-on experience with ML techniques can really set you apart.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Description This
✨Know Your Stuff
Make sure you brush up on your data science and machine learning fundamentals. Be ready to discuss your experience with Python, especially libraries like Pandas and Scikit-learn. Prepare to share specific examples of how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Since this role involves tackling real-world problems, think of a few scenarios where you've successfully solved complex issues using ML techniques. Be prepared to walk through your thought process and the impact of your solutions.
✨Engage with the Team Spirit
This position is all about collaboration, so highlight your teamwork experiences. Share examples of how you've worked with others to achieve a common goal, and express your enthusiasm for contributing to a fast-moving team environment.
✨Prepare for the Presentation
You might need to present your ideas to stakeholders, so practice explaining your concepts clearly and concisely. Use visual aids if possible, and be ready to answer questions about your proposed solutions and their implementation.
