Senior Machine Learning Engineer
other jobs Harnham - Data & Analytics Recruitment
Added before 2 Days
- England,London,City of London
- Full Time, Permanent
- £90,000 - £120,000 per annum
Job Description:
Senior Machine Learning Engineer
Up to £120,000 + bonus
London based (hybrid 2-3 days per week in office)
If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You’ll work on end-to-end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production-ready AI and ML solutions.
THE COMPANY
This technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data-driven transformation. With a good technical team they’ve built a positive reputation and an enjoyable team to work with.
THE ROLE
As a Senior ML Engineer, you’ll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. You’ll be hands-on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.
You can expect to work on projects such as:
*Optimisation models
*Predictive modelling for customer churn, asset failure, or sales performance
*Full ML life cycle ownership: prototyping ? deployment ? monitoring
*Building production-ready pipelines, APIs, and MLOps workflows
You’ll typically work in a small and cross-functional team.
SKILLS AND EXPERIENCE
The successful Machine Learning Engineer will have the following skills and experience:
*4-6+ years in ML Engineering or Data Science
*Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
*Experience building and deploying production ML systems
*Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
*Solid understanding of modern ML methods and data engineering fundamentals
*Strong academic background (ideally Russell Group, with a Master’s minimum)
*Ability to work quickly in fast-paced environments and communicate with non-technical stakeholders
BENEFITS
The successful Machine Learning Engineer will receive the following benefits:
*Competitive salary based on level
*Hybrid working
*Ability to work across multiple industries and projects
*Extremely strong, and technical team
*Clear progression paths and high visibility in a small organisation
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
Up to £120,000 + bonus
London based (hybrid 2-3 days per week in office)
If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You’ll work on end-to-end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production-ready AI and ML solutions.
THE COMPANY
This technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data-driven transformation. With a good technical team they’ve built a positive reputation and an enjoyable team to work with.
THE ROLE
As a Senior ML Engineer, you’ll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. You’ll be hands-on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.
You can expect to work on projects such as:
*Optimisation models
*Predictive modelling for customer churn, asset failure, or sales performance
*Full ML life cycle ownership: prototyping ? deployment ? monitoring
*Building production-ready pipelines, APIs, and MLOps workflows
You’ll typically work in a small and cross-functional team.
SKILLS AND EXPERIENCE
The successful Machine Learning Engineer will have the following skills and experience:
*4-6+ years in ML Engineering or Data Science
*Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
*Experience building and deploying production ML systems
*Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
*Solid understanding of modern ML methods and data engineering fundamentals
*Strong academic background (ideally Russell Group, with a Master’s minimum)
*Ability to work quickly in fast-paced environments and communicate with non-technical stakeholders
BENEFITS
The successful Machine Learning Engineer will receive the following benefits:
*Competitive salary based on level
*Hybrid working
*Ability to work across multiple industries and projects
*Extremely strong, and technical team
*Clear progression paths and high visibility in a small organisation
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
Job number 3413093
Increase your exposure to recruiters with ProJobs
Thousands of recruiters are looking for you in the Job Master profile database, increase your exposure 4 times with a ProJob subscription
You can cancel your subscription at any time.
metapel
Company Details:
Harnham - Data & Analytics Recruitment
Company size: 250–499 employees
Industry: Recruitment Consultancy
Harnham are the global leaders in Data & Analytics recruitment.Harnham provides specialist Data & Analytics recruitment staffing services and talent s...