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- Tasks: Join a talented team to advance machine learning for a major government project.
- Company: Innovative tech firm focused on cutting-edge data solutions.
- Benefits: Competitive daily rate, remote work flexibility, and exciting project involvement.
- Why this job: Make a real impact in the world of machine learning and data engineering.
- Qualifications: Active SC Clearance, Python expertise, and experience with ML frameworks.
- Other info: Dynamic role with opportunities for growth and collaboration.
The predicted salary is between 45000 - 75000 £ per year.
You must hold active and current SC Clearance, have UK Residency and hold a UK passport.
Location: Remote / hybrid with occasional travel to offices (North and South) and customer site (South).
Rate: £625pd, outside IR35.
Contract Length: 6 months initially.
This project is at the cutting edge of machine learning, working with a talented team delivering important advances for a large government department.
Essential Skills and Experience Needed:
- Python (applied ML): pandas, numpy, Jupyter, strong scripting and reusable code
- ML frameworks: PyTorch and or TensorFlow (plus scikit-learn)
- Data exploration & quality: EDA, visualisation (matplotlib / plotly), dataset profiling, class balance, outliers
- Labelling workflows: hands‑on annotation and ontology work, label QA (inter‑annotator agreement), confidence scoring, audit trail mindset
- Pipeline building: reproducible pre-processing and training pipelines (not necessarily Kubernetes), e.g. Python pipelines, Airflow / Prefect / Luigi‑style orchestration, and good experiment hygiene
- Experiment tracking: MLflow and or Weights & Biases (runs, metrics, artefacts, model registry)
- Version control: Git, plus dataset / versioned artefacts (DVC or similar is a plus)
- Deployment not required, but ability to package work for T&E style repeatable runs is important
- Domain bonus: signal processing experience (spectrograms, time‑series, acoustic features), because the data is sonar / acoustics
Please apply immediately if you hold active and current SC Clearance and have the skills required above, as this is an urgent requirement, you must be able to start the contract in the first or second week of January.
Senior Data Engineer in Leeds employer: Exalto Consulting
Contact Detail:
Exalto Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who might have insights into roles requiring SC Clearance. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your Python projects and ML frameworks, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with the tools mentioned in the job description.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data exploration and quality techniques. Be ready to discuss how you’ve tackled challenges in past projects, especially around EDA and visualisation. We want to see your problem-solving skills in action!
✨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, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and machine learning frameworks like PyTorch or TensorFlow. We want to see how you've applied these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific projects where you’ve done data exploration or built pipelines. This helps us see how you fit into our team and the exciting work we do.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for your skills and experiences to make it easy for us to read. We appreciate clarity and brevity!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this fantastic opportunity.
How to prepare for a job interview at Exalto Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific ML frameworks mentioned, like PyTorch and TensorFlow. Brush up on your data exploration techniques and be ready to discuss how you've used libraries like pandas and numpy in past projects.
✨Showcase Your Pipeline Skills
Be prepared to talk about your experience with building reproducible pre-processing and training pipelines. If you've worked with orchestration tools like Airflow or Prefect, have some examples ready to share that highlight your experiment hygiene and tracking methods.
✨Demonstrate Your Problem-Solving Mindset
During the interview, think aloud when discussing how you approach data quality issues or labelling workflows. They’ll want to see your thought process, so don’t hesitate to explain how you handle challenges like class balance or outlier detection.
✨Prepare for Scenario-Based Questions
Expect questions that require you to apply your knowledge to real-world scenarios, especially related to sonar/acoustic data. Think of examples from your past work where you’ve tackled similar problems, and be ready to discuss the outcomes.
