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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 growth, and meaningful ownership.
- Why this job: Make a real impact in the world of machine learning and analytics.
- Qualifications: Experience in QA or data validation, strong SQL skills, and analytical mindset required.
- Other info: Collaborative culture with opportunities to work across multiple partners and regions.
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
You’ll likely come from a QA, data quality, BI testing, or similar background, and be keen to build deeper exposure to analytics and machine learning.
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 in Thame employer: Field Sales Solutions
Contact Detail:
Field Sales Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML QA Analyst in Thame
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in QA or data 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, data validation processes, or any analytics 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 data pipeline knowledge. Be ready to discuss how you've tackled data quality issues in the past and how you can contribute to our ML assurance efforts.
✨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 in Thame
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, and don’t forget to mention your SQL skills – they’re essential for this position!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in QA or BI testing makes you a perfect fit. Be genuine and let your personality come through!
Showcase Your Analytical Mindset: In your application, emphasise your analytical skills and any experience you have with data quality checks or model validation. We want to see that you can think critically about data and its implications for business use.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who take the initiative to connect directly with us!
How to prepare for a job interview at Field Sales Solutions
✨Know Your QA Basics
Make sure you brush up on your QA principles and processes. Be ready to discuss your previous experiences in QA or data validation, and how they relate to the role of an ML QA Analyst. Highlight specific examples where you ensured data quality or resolved issues.
✨Show Off Your SQL Skills
Since strong SQL skills are essential for this role, prepare to demonstrate your ability to write queries and validate data. You might be asked to solve a problem on the spot, so practice common SQL scenarios that could come up in the context of data validation and testing.
✨Understand the ML Landscape
Familiarise yourself with basic machine learning concepts and terminology. Be prepared to discuss how you would approach model validation and monitoring for data/model drift. Showing that you can engage in discussions about ML performance will set you apart.
✨Communicate Clearly
This role requires clear communication with both technical and non-technical teams. Practice explaining complex concepts in simple terms. During the interview, make sure to articulate your thoughts clearly and ask questions if you need clarification on anything.
