At a Glance
- Tasks: Build and maintain ML tools to enhance data analytics in financial services.
- Company: Dynamic financial services firm modernising its tech and analytics capabilities.
- Benefits: Competitive salary, bonus opportunities, and a chance to shape ML engineering.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make a real impact on customer outcomes and operational efficiency with cutting-edge ML.
- Qualifications: Strong Python skills and experience in data science or ML Ops preferred.
The predicted salary is between 63000 - 77000 £ per year.
Machine Learning Engineer - Financial Services Join a growing financial services business undergoing an exciting modernisation of its data, analytics, and machine learning capability.
With significant investment across technology, tooling, and engineering standards, this is a role where you’ll shape ML engineering foundations and help accelerate end-to-end analytical delivery.
You’ll work in a high-impact environment where ML capability directly influences customer outcomes, pricing, risk, personalisation, and operational efficiency.
If you’re motivated by engineering excellence, autonomy, and the chance to build scalable frameworks others rely on — this is a compelling next step.
What you’ll do Build and maintain ML tooling, packages, and deployment frameworks to streamline and standardise modelling workflows.
Develop scalable Python-based solutions, model evaluation metrics, and monitoring tooling to ensure operational stability and continuous improvement.
Champion ML engineering best practice — including CI/CD principles, testing frameworks, reproducibility, and automation.
Work cross‑functionally with data scientists, product, and engineering teams to ensure models can be deployed, monitored, and iterated with confidence.
Support the development of ML governance, model lifecycle management, and performance tracking processes.
About you Strong Python engineering skills applied in a commercial data science or ML Ops environment.
Ability to translate analytical work into scalable, maintainable, production‑ready engineering solutions.
Collaborative mindset — able to work effectively with both technical and non‑technical teams.
Experience in financial services, regulated environments, or large‑scale analytical delivery is beneficial.
Salary Competitive base salary plus bonus.
Please note our client is unable to offer sponsorship for this opportunity.
Should you not be contacted within five working days of submitting your application, then unfortunately you have not been shortlisted for the opportunity.
We will however be in touch should there be any other opportunities of potential interest that are suiting to your skills. #J-18808-Ljbffr
We’re Hiring: Machine Learning Engineer - Financial Services employer: Miryco Consultants Ltd
Miryco Consultants Ltd is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation within a high-performing implementation team. Employees benefit from professional growth opportunities through exposure to complex business change projects and corporate strategy, all while enjoying the vibrant atmosphere of Greater London.
