Lead Data Engineer

Lead Data Engineer (Machine Learning) £75,000 Salary
Lead Data Engineer (Machine Learning)

£75,000 + Benefits

Your new company

My client is a Top 5 UK Pet insurer with a clear ambition to be the leading Pet healthcare and insurance services partner in the UK. Over the last two years, through the success of the partnership strategy, which includes Sainsbury’s Bank, PDSA and Post Office, they’ve doubled the size of the business. They have strong growth plans through UK and European partnerships, their own brand Every Paw, and a clear vision for the development of our customer and partner proposition. Not only do they have big ambitions for continued growth and innovation, but they also pride themselves on being a great place to work. They get that not everyone works best confined to the four walls of the office, which is why they have embraced hybrid working. Their teams can come together to collaborate in the office when needed but have the space and the freedom to work from home. We believe people should have the best of both worlds to foster creativity, autonomy, and productivity. It helps support a good work-life balance, and it’s the way they want to be.

Your new role
- Help implementing a Machine Learning platform
- Monitor and optimize the platform
- Create and manage storage of data (including unstructured and semi-structured data) and data pipelines
- In particular, support access to data by Data Scientists.
- Model productionizing and deployment, taking advantage of MLOps practices and technologies.

What you'll need to succeed
- Experience with EDW and Big Data storage, processing and pipeline orchestration
- Good understanding of data modelling, expertise and experience in data architecture
- Strong coding skills with Python, SQL and some knowledge of Scala, using best software development practice
- Solid experience in scripting
- Preferably also experience with NoSQL (e.g. MongoDB)
- Batch processing, stream processing
- Very good understanding of microservices architecture
- Application infrastructure: experience with containers, Docker, Kubernetes
- Experience with Machine Learning platform, preferably with Azure technology, ideally also exposition to/experience with Domino.
- Experience with models deployment
- Familiar with key concepts MLOps such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD and ML pipelines, etc. Experience with full MLOps environment or at least a partial one but strong appetite to learn and build an advanced MLOps system.
- Exposure to/experience with or at least interest in Machine Learning and some widely used technologies, e.g., NumPy, Pandas, matplotlib, scikit-learn, TensorFlow, PyTorch, Hugging Face, XGBoost.

What you'll get in return
- 24 days' annual leave rising to 30 days with service + Birthday off
- Holiday Buy & Sell Scheme
- Pension Scheme 10% + 2.5% matched by company
- Private health care
- 24 days' annual leave rising to 30 days with service + Birthday off
- Holiday Buy & Sell Scheme
- Pension Scheme 10% + 2.5% matched by company
- Private health care

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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Job Type
Working Pattern
Data & Advanced Analytics

Talk to a consultant

Talk to Ali Butt, the specialist consultant managing this position, located in Milton Keynes
First Floor, ll Exchange Square, North Fourth Street

Telephone: 01908970253