La Fosse
Lead Machine Learning Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Lead ML Engineer
Paying up to £110,000 base + bonus & excellent benefits
Hybrid working – Central London (2-3 days per week)
Leading Data-Driven Financial Services Organisation
I'm partnering with a market-leading fintech business to hire a Lead ML Engineer into a newly established Machine Learning Engineering function. This is a fantastic opportunity to define how machine learning is delivered, deployed and operated across the organisation, setting the technical standards that will underpin the next generation of AI and ML products.
If you're passionate about MLOps, production-grade ML systems and building scalable engineering frameworks, this is a role where you'll have genuine technical ownership and influence.
The Business
- Leading fintech organisation with a strong data and technology culture.
- Significant investment into AI, Machine Learning and cloud platforms.
- Modern engineering environment with a focus on innovation and best practice.
- Collaborative culture where Engineering, Data Science and Platform teams work closely together.
- Opportunity to shape the future of ML engineering across the business.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The Role
- Define and establish MLOps standards, frameworks and engineering best practices.
- Build reusable patterns for model deployment, serving and lifecycle management.
- Own standards around CI/CD, model versioning, monitoring and observability.
- Lead the productionisation of machine learning models from experimentation through to deployment.
- Provide technical leadership across Data Science and Engineering teams.
- Drive platform improvements that reduce manual effort and enable scalable ML delivery.
What They're Looking For
Get help with your application
Your very own career expert that helps elevate your application to the next level.
- Strong experience building and operating production Machine Learning systems.
- Excellent understanding of MLOps, model serving and ML lifecycle management.
- Hands-on experience with cloud ML platforms such as AWS SageMaker.
- Experience with orchestration tools including Airflow or AWS Step Functions.
- Ability to define engineering standards and influence technical direction across multiple teams.
- Strong stakeholder management and communication skills with both technical and non-technical audiences.
This is an excellent opportunity to join a business where Machine Learning is a strategic priority, giving you the chance to shape engineering standards, influence technical direction and build the foundations that will support AI at scale.
If you feel like you would be a good match, please apply with your CV to find out more.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location