Description
Contract Type: Permanent
Department: Technology
Central London office space by Mansion House (EC4V) with a hybrid working environment (usually 2 days a week in the office)
The Role:
At Kubrick Advanced, we are growing a specialist community of expert engineers and we’re looking for a Senior ML Engineer with strong Databricks experience to lead impactful, high-visibility projects for top-tier clients.
As a Senior ML Engineer, you will play a critical role in the successful delivery of complex data and ML solutions - often in collaboration with Databricks’ professional services team. This is a hands-on technical leadership role where you’ll combine deep machine learning knowledge with MLOps best practices to deploy scalable, high-performing models across varied domains.
You’ll lead delivery squads, guide solution architecture, liaise with stakeholders and ensure our engineering standards remain industry-leading. Additionally, you’ll help shape the evolution of Kubrick Advanced’s Databricks delivery capability, mentoring and managing junior engineers along the way
Responsibilities:
- Lead the technical delivery of client-facing ML projects, ensuring high-quality engineering outputs
- Design and deploy production-ready ML models using Databricks and cloud platforms (AWS, Azure, or GCP)
- Translate business problems into robust ML solutions through a blend of statistical modelling, machine learning, and data engineering
- Apply and champion MLOps practices throughout the model lifecycle—training, versioning, monitoring, and retraining
- Collaborate with client teams and internal stakeholders to deliver on business-critical initiatives
- Mentor and line-manage junior engineers, fostering their growth and ensuring knowledge transfer
- Contribute to the internal Databricks knowledge base and promote a culture of curiosity and excellence
Personal Specification:
- Significant experience in ML and/or data science, including production deployment of ML models
- Proven experience in technical leadership and/or line management
- Hands-on expertise with Databricks, ideally with ML Engineer certification
- Strong coding skills in Python and SQL, with experience in model training, evaluation, and serving
- Familiarity with cloud services (AWS, Azure, or GCP)
- Deep understanding of ML theory and the ability to choose the right model/framework per use case
- Practical awareness of cost/performance trade-offs in cloud-based ML workloads
- Strong communication and stakeholder engagement skills
- Degree or post-doc qualification in AI/ML Theory, Maths, statistics or a related subject
What Kubrick offers:
We are a fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow.
We also offer:
- A competitive salary & bonus
- 25 days of annual leave
- Perkbox discounts and Wellness Hub with confidential well-being and mental health support
- Cycle to work scheme
We are proud supporters of Women in Data®. Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.
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