Data & Machine Learning Engineer
other jobs eFinancialCareers
Added before 1 hours
- England,North East,Tyne and Wear,Newcastle upon Tyne
- Full Time, Permanent
- Competitive salary
Job Description:
Full job description£40000-55000 GBP
Bonus Scheme, Pension, Hybrid + Flexible Working
Hybrid WORKING
Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent
Data & Machine Learning Engineer
Newcastle
Up to £55,000
S/C Clearable
We’re looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle. This role offers the chance to work on modern data platforms and machine learning solutions, helping organisations turn complex data into intelligent, real-world outcomes.
What you’ll have the opportunity to do as a Data & ML Engineer *Building and maintaining scalable data pipelines that support analytics and machine learning
*Developing and deploying machine learning models into production environments
*Working with cloud-based data platforms to ingest, process and transform data at scale
*Collaborating with engineers, analysts and stakeholders to deliver end-to-end solutions
*Supporting good engineering practice across testing, automation and deployment
*Contributing to Agile delivery through teamwork and continuous improvement
About the Candidate
The right Data & ML Engineer should have: *Experience in data engineering, machine learning or applied AI roles
*Strong skills in Python and SQL, with exposure to big data or ML frameworks
*Experience working with cloud platforms such as Azure, AWS or GCP
*Understanding of CI/CD, MLOps or infrastructure-as-code practices
*Confidence communicating technical concepts to non-technical audiences
*Eligible for SC clearance (5+ years continuous UK residency)
What’s in it for you? *Salary from £40,000 to £55,000
*Hybrid working based in Newcastle
*25 Days holiday per annum
*Extensive benefits package
*Continuous training provided for career progression
To hear more about the Data & Machine Learning Engineer role contact Daire McIlhatton at
Bonus Scheme, Pension, Hybrid + Flexible Working
Hybrid WORKING
Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent
Data & Machine Learning Engineer
Newcastle
Up to £55,000
S/C Clearable
We’re looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle. This role offers the chance to work on modern data platforms and machine learning solutions, helping organisations turn complex data into intelligent, real-world outcomes.
What you’ll have the opportunity to do as a Data & ML Engineer *Building and maintaining scalable data pipelines that support analytics and machine learning
*Developing and deploying machine learning models into production environments
*Working with cloud-based data platforms to ingest, process and transform data at scale
*Collaborating with engineers, analysts and stakeholders to deliver end-to-end solutions
*Supporting good engineering practice across testing, automation and deployment
*Contributing to Agile delivery through teamwork and continuous improvement
About the Candidate
The right Data & ML Engineer should have: *Experience in data engineering, machine learning or applied AI roles
*Strong skills in Python and SQL, with exposure to big data or ML frameworks
*Experience working with cloud platforms such as Azure, AWS or GCP
*Understanding of CI/CD, MLOps or infrastructure-as-code practices
*Confidence communicating technical concepts to non-technical audiences
*Eligible for SC clearance (5+ years continuous UK residency)
What’s in it for you? *Salary from £40,000 to £55,000
*Hybrid working based in Newcastle
*25 Days holiday per annum
*Extensive benefits package
*Continuous training provided for career progression
To hear more about the Data & Machine Learning Engineer role contact Daire McIlhatton at
Job number 3798401
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.