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- Tasks: Design and scale ML platforms for pricing technology and streamline workflows.
- Company: Join a leading Audit and Advisory business with a focus on innovation.
- Benefits: Competitive salary, contract length of 12 months, with potential for extension.
- Why this job: Shape the future of pricing technology and collaborate with diverse teams.
- Qualifications: Degree in relevant field and strong experience in ML model lifecycle management.
- Other info: Dynamic role in London with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
G MASS Consulting is supporting a leading Audit and Advisory business. We’re looking for a Machine Learning Engineer to shape and scale their pricing technology. In this role, you’ll design and own ML platforms that streamline pricing workflows, support rapid model deployment, and ensure models perform reliably at scale. Partnering with Data Science, Actuarial, and Product teams.
Responsibilities
- Build and support ML lifecycle tooling for model deployment, monitoring, and alerting
- Maintain and improve the Kubeflow environment for Data Scientists and Actuaries
- Create pricing analytics tools to accelerate impact analysis and reduce manual work
- Collaborate with pricing and product teams to deliver high-impact tooling
- Communicate complex concepts clearly to technical and non-technical audiences
Requirements
- Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related field
- Strong experience managing the full ML model lifecycle (batch and online)
- Solid understanding of statistical methods, including GLMs and modern ML techniques
- Proven ability to build and deploy production-quality Python applications (pandas, scikit-learn)
- Experience with DevOps and ML tooling, including Kubernetes, Docker, CI/CD, and git-based workflows
- Familiarity with cloud platforms (AWS) and cloud data warehouses (Snowflake/SQL)
Benefits
- Salary: to be discussed, depending on experience
- Length: 12 months, with the view to extend
Employment Type: Contract
Seniority Level: Mid-Senior
Location: London, England, United Kingdom
Senior Machine Learning Engineer employer: G MASS Consulting
Contact Detail:
G MASS Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those that relate to pricing technology. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to explain complex concepts clearly, as you'll need to communicate with both technical and non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with ML lifecycle tooling, model deployment, and any relevant projects that showcase your skills in Python and cloud platforms.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about shaping and scaling pricing technology. Mention how your background aligns with the responsibilities listed in the job description.
Showcase Your Technical Skills: Don’t forget to emphasise your technical skills! Make sure to mention your experience with Kubernetes, Docker, and CI/CD processes. We want to see how you can contribute to maintaining and improving our ML environments.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at G MASS Consulting
✨Know Your ML Lifecycle
Make sure you can confidently discuss the full machine learning model lifecycle. Be prepared to share specific examples of how you've managed model deployment, monitoring, and alerting in your previous roles. This will show that you understand the intricacies of the process and can hit the ground running.
✨Showcase Your Technical Skills
Brush up on your Python skills, especially with libraries like pandas and scikit-learn. Be ready to talk about your experience with DevOps tools such as Kubernetes and Docker. If you have any projects or code samples, bring them along to demonstrate your capabilities.
✨Communicate Clearly
Since you'll be collaborating with both technical and non-technical teams, practice explaining complex concepts in simple terms. Think of ways to illustrate your points with real-world examples, which will help you connect with your interviewers and showcase your communication skills.
✨Research the Company
Familiarise yourself with G MASS Consulting and their approach to pricing technology. Understanding their business model and recent projects can give you an edge. Prepare thoughtful questions that show your interest in their work and how you can contribute to their goals.
