Senior Machine Learning Engineer

Jobtailor

Greater London

On-site

GBP 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Flexibility over work location and hours

25 days annual leave plus additional days for service

Birthday, house move, good deed, and digital detox day off

Cycle to work and electric car schemes

Free Calm App membership

Enhanced Paternity Leave

Fertility Treatment Financial Support

Group Income Protection and medical insurance

On-site gym in London or regional offices membership

7.5% pension contribution

Discretionary annual bonus up to 10%

Talent referral bonus up to £5K

Job summary

Houseful is seeking a Senior Machine Learning Engineer to enhance its product offerings by deploying robust machine learning models. This role requires a strong understanding of machine learning applications and a solid background in Python, data engineering, and cloud services.

The ideal candidate will develop automated workflows and ensure model performance in real-world environments. Benefits include flexible work arrangements, 25 days annual leave, and a discretionary bonus.

Qualifications

Strong understanding of machine learning life cycle processes and tools.
Proficient in writing stable, scalable, and maintainable Python code.
Experience building data pipelines with PySpark and SQL.

Responsibilities

Oversee deployment of machine learning models into production.
Integrate machine learning solutions into products and services.
Develop automated workflows for model retraining, testing, and deployment.

Skills

Machine learning applications

Python

Data science libraries (Scikit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM)

AWS

Infrastructure as code (Terraform, CloudFormation)

Data engineering

Docker

AI native engineering tooling

Job description

Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.

At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.

Responsibilities

Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.
Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.
Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.
Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.

Requirements

Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.
Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.
Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.
Have worked with a cloud service, such as AWS.
Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).
Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.
Comfortable working with Docker and containerised applications.
Experience leveraging AI native engineering tooling.
Passion for building products that meet customer needs and business objectives.
Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.

Benefits