At a Glance
- Tasks: Transform data science prototypes into scalable, production-ready solutions with cutting-edge techniques.
- Company: Join a dynamic government team focused on impactful AI solutions.
- Benefits: Enjoy 25 days annual leave, flexible working, and a generous pension contribution.
- Other info: Be part of a supportive environment with excellent career growth opportunities.
- Why this job: Make a real difference by solving complex data challenges and optimising machine learning pipelines.
- Qualifications: Experience in data engineering and machine learning is essential.
The predicted salary is between 44241 - 44241 £ per year.
Can you work with technical and non-technical stakeholders to deliver data-driven outcomes? Do you enjoy solving complex data engineering and machine learning challenges? Have you built and optimised data pipelines that support analytical and AI use cases? If so, we’d love to hear from you!
A Senior Data Engineer (ML) works within a rapid prototyping team alongside data scientists to develop, test, and scale data science solutions. They are responsible for ensuring that prototypes are production-ready, scalable, and maintainable. The role bridges data science and data engineering, enabling the team to deliver high-impact, operational AI solutions.
As our Senior Data Engineer (ML), you’ll transform data science prototypes into secure, scalable, production-ready solutions. Working alongside data scientists, you’ll lead MLOps, CI/CD and model development and drift practices, optimise machine learning pipelines, champion responsible AI, and establish engineering standards that will support the Agency’s growing data and AI capability.
Your responsibilities will include, but aren’t limited to:
- Work within the data science team to deliver rapid prototypes for new solutions, developing new solutions using cutting-edge techniques.
- Collaborate with and translate data science prototypes into scalable, production-grade machine learning systems using robust engineering practices and automation pipelines.
- Design and implement scalable machine learning pipelines using modern MLOps tools and frameworks.
- Utilising Prototype-to-Production engineering.
- Apply internal data engineering best practices to ensure data quality, lineage, and reproducibility.
- Maintain continuous integration and deployment workflows for machine learning models, including automated testing, validation, and monitoring.
- Use tools such as MLflow, Databricks, and infrastructure-as-code to ensure reproducibility and reliability.
- Monitor deployed models for performance degradation, drift, and fairness.
- Implement retraining strategies and version control to maintain model integrity over time.
Proud member of the Disability Confident employer scheme.
Senior Data Engineer (Machine Learning (ML) in Cardiff employer: Allscreens Nationwide Ltd
Allscreens Nationwide is an exceptional employer, offering a supportive team culture where employees are valued and encouraged to thrive. With access to state-of-the-art training facilities and opportunities for career progression, our Automotive Glazing Technicians in Birmingham can expect not only competitive bonuses but also the chance to work with the latest technology in the industry. Join us and be part of a company that prioritises both employee well-being and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Machine Learning (ML) in Cardiff
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Allscreens Nationwide Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer (Machine Learning (ML) at Allscreens Nationwide Ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Allscreens Nationwide Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer (Machine Learning (ML) at Allscreens Nationwide Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer (Machine Learning (ML) in Cardiff
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Allscreens Nationwide Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Allscreens Nationwide Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Allscreens Nationwide Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Allscreens Nationwide Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
