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- Tasks: Build and deploy real ML systems that make a difference.
- Company: Join a fast-growing data consultancy transforming major brands.
- Benefits: Competitive salary, generous holiday, private medical insurance, and career growth.
- Why this job: Work with cutting-edge tools and make a real impact in diverse sectors.
- Qualifications: 3+ years in ML Engineering or MLOps with strong MLflow experience.
- Other info: Dynamic team environment with opportunities for rapid career advancement.
The predicted salary is between 60000 - 70000 £ per year.
We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more.
Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‑of‑concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience, this role is built for you.
- Own end-to-end ML model lifecycles from training to deployment to monitoring
- Use MLflow for experiment tracking, model versioning, deployment, and release workflows
- Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs)
- Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW)
- Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins
- Work closely with engineering teams to deliver real-world ML systems across multiple sectors.
Skills required:
- Python, SQL, PySpark
- Git, Azure DevOps, Jenkins
- 3+ years in ML Engineering, MLOps, or Data Engineering
- Hands-on experience productionising ML models
- Comfortable working in Agile environments
Join us to build production‑ready ML systems that make a real impact working with modern tooling, great people, and the freedom, support, and rewards to grow your career fast.
Benefits include:
- Competitive base salary
- ~15% discretionary company bonus
- ~ Up to 37 days’ holiday
- Private medical insurance
- Group life assurance & income protection
- Salary sacrifice pension scheme
Senior ML/MLOps Engineer in City of London employer: Optima Partners
Contact Detail:
Optima Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML/MLOps Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to connect with people who are already in the game; they might just know about opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those using MLflow and Azure. We love seeing real-world applications of your work, so make sure to highlight any production-grade systems you’ve built.
✨Tip Number 3
Prepare for the technical interview! Brush up on your Python, SQL, and PySpark skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make a real impact in the ML space.
We think you need these skills to ace Senior ML/MLOps Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior ML/MLOps Engineer role. Highlight your hands-on experience with MLflow, Azure, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about building production-grade ML systems and how your background aligns with our mission. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know how you've tackled real-world challenges using ML tools like Databricks and Azure.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you'll be one step closer to joining our awesome team at StudySmarter. Don’t miss out on this opportunity!
How to prepare for a job interview at Optima Partners
✨Know Your MLflow Inside Out
Make sure you’re well-versed in MLflow, as it’s a key part of the role. Brush up on how to use it for experiment tracking, model versioning, and deployment workflows. Be ready to discuss specific projects where you’ve successfully implemented MLflow.
✨Showcase Your End-to-End Experience
Prepare to talk about your experience managing the full ML lifecycle. Highlight any projects where you’ve taken models from training to deployment and monitoring. Use concrete examples to demonstrate your hands-on experience in productionising ML models.
✨Familiarise Yourself with Azure and Databricks
Since the role involves building scalable data and ML pipelines in Databricks and designing Azure data architectures, make sure you understand these platforms. Be ready to discuss how you’ve used Azure services like Data Lake or Synapse in past projects.
✨Emphasise Your Agile Experience
As the company works in Agile environments, be prepared to share your experiences working in such settings. Discuss how you’ve collaborated with cross-functional teams and adapted to changing requirements to deliver real-world ML systems.