Design and own machine learning platforms for pricing technology, streamline workflows, and ensure reliable model performance at scale.
G MASS Consulting are 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
Similar Jobs
.png)
Music
As a Senior Machine Learning Engineer, you will design and build systems to enhance personalized listening experiences by leveraging cultural context and large language models, while collaborating across teams and managing end-to-end model development.
Top Skills:
BigQueryDataflowGCPGenerative AiJavaLangchainLlamaindexLlmsPydanticPythonScala
Music
Design and ship machine learning models for optimizing messaging on multiple channels, focusing on long-term user outcomes and experimentation.
Top Skills:
A/B TestingCausal InferenceDistributed SystemsMachine LearningPyTorchReinforcement Learning
Music
Join Spotify's Personalization team to enhance music recommendations using cutting-edge ML and AI technologies, collaborating across teams and prototyping new features.
Top Skills:
Apache BeamSparkAWSGCPGenerative AiMachine LearningNatural Language Processing
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
