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- Tasks: Own and evolve QA processes for analytics and ML solutions while ensuring data quality.
- Company: Join a dynamic team at Field Sales Solutions, focused on innovation and collaboration.
- Benefits: Enjoy a permanent role with flexible working, skill development, and meaningful ownership.
- Why this job: Make a real impact in ML assurance and work with cutting-edge analytics technology.
- Qualifications: Experience in QA roles, strong SQL skills, and an analytical mindset are essential.
- Other info: Collaborative culture with opportunities for growth and exposure to exciting projects.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for an ML / QA Analyst to support the delivery and ongoing expansion of our modern Microsoft Fabric Lakehouse analytics and machine learning platform. This role sits at the intersection of data quality, testing, and analytics assurance. It’s ideal for someone with QA or data validation experience who wants to step up and take broader ownership as our platform rolls out to new partners and regions. You’ll work closely with Data Engineering, BI, and Data Science teams to ensure that datasets, transformations, and ML outputs are accurate, trusted, and ready for business use.
What You’ll Work On
- Owning and evolving QA and data validation processes for analytics and ML solutions.
- Running data quality checks across ingestion, Lakehouse layers (Bronze/Silver/Gold), and reporting outputs.
- Validating new partner/regional datasets, mappings, and business definitions.
- Supporting Data Science with model input/output checks, performance sanity checks, and alert quality monitoring.
- Monitoring data and model stability, highlighting drift, anomalies, and emerging quality risks.
- Investigating data issues from users or partners and coordinating resolution.
- Planning and coordinating UAT for new datasets, platform enhancements, and reporting changes.
- Ensuring dashboards (Power BI) correctly surface ML and analytics outputs.
- Maintaining clear documentation, test artefacts, and simple runbooks.
What We’re Looking For
Essential:
- Experience in QA/Test, Data QA, or BI QA roles.
- Strong SQL skills for validation and investigation.
- Confidence testing data pipelines and transformations.
- An analytical mindset with enough statistical awareness to follow ML performance discussions.
- Clear communication skills with both technical and non-technical teams.
Desirable
- Exposure to analytics or machine learning projects.
- Interest in model validation, data/model drift, and monitoring concepts.
- Familiarity with notebook environments (e.g., Fabric Notebooks, Jupyter).
- Experience supporting analytics across multiple partners or regions.
Why Join Us?
- Permanent role with long term value as the platform scales.
- Meaningful ownership of quality processes across our analytics estate.
- Hands on exposure to ML assurance in a real commercial environment.
- Collaborative team with opportunities to grow your skill set.
- Flexible, people focused working culture.
You must be eligible to work in the UK and have a full clean driving licence. Field Sales Solutions is an equal opportunities employer.
Live our company values:
- Partnership - We are transparent, open, and work together with our clients and colleagues to achieve common goals.
- Return - We drive and evaluate all activity by identifying and delivering a positive ROI.
- Ownership - We understand our role and have a sense of purpose and accountability in everything we do.
- Upstanding - We are honest, reliable, and ethical in all we do, showing professionalism and integrity always.
- Determined - we know that success requires perseverance, and we are driven to achieve.
We are PROUD to be Field Sales Solutions.
ML QA Analyst employer: Field Sales Solutions Limited
Contact Detail:
Field Sales Solutions Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML QA Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in ML or QA roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your QA projects or any data validation work you've done. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytical skills. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to our analytics platform.
✨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.
We think you need these skills to ace ML QA Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the ML QA Analyst role. Highlight your QA or data validation experience, SQL skills, and any exposure to analytics or machine learning projects. We want to see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Be sure to mention your analytical mindset and communication skills, as these are key for us.
Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to include them in your application. Whether it's data quality checks or model validation, we love seeing real examples of your work and how you’ve tackled challenges in the past.
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 shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Field Sales Solutions Limited
✨Know Your QA Basics
Make sure you brush up on your QA and data validation processes. Be ready to discuss your experience in these areas, especially how you've owned or evolved QA processes in previous roles. This will show that you understand the importance of quality in analytics and ML solutions.
✨SQL Skills Are Key
Since strong SQL skills are essential for this role, practice writing queries that validate data and investigate issues. Be prepared to demonstrate your SQL knowledge during the interview, as it’s a crucial part of the job. You might even be asked to solve a problem on the spot!
✨Communicate Clearly
You’ll need to liaise with both technical and non-technical teams, so practice explaining complex concepts in simple terms. Think about examples from your past where you successfully communicated technical information to a non-technical audience. This will highlight your clear communication skills.
✨Show Your Analytical Mindset
Prepare to discuss your analytical mindset and any experience you have with model validation or monitoring concepts. Think of specific instances where you identified data issues or anomalies and how you resolved them. This will demonstrate your ability to think critically and proactively in a QA role.