Job Title: Machine Learning Engineer (Mid-Level)
Salary: £70,000
Location: London
Employment Type: Full-Time
The Company
Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms.
With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams.
This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation.
The Role
The company is seeking aMid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems.
The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring.
Key Responsibilities
Machine Learning Development
• Develop, train, and optimise machine learning models for production applications
• Work with large datasets to build predictive and analytical models
• Collaborate with data scientists to transition models from research to scalable production systems
ML Engineering and Deployment
• Design and maintain machine learning pipelines and model deployment infrastructure
• Implement automated model training, validation, and monitoring processes
• Ensure models are scalable, reliable, and performant in production environments
Data Engineering and Infrastructure
• Work with data engineers to build efficient data pipelines and feature engineering processes
• Optimise data workflows to support model development and experimentation
• Contribute to the development of robust ML infrastructure and tooling
Collaboration and Product Integration
• Work closely with product, engineering, and analytics teams to integrate ML models into applications
• Translate business requirements into machine learning solutions
• Communicate technical insights clearly to stakeholders
Continuous Improvement
• Monitor model performance and retrain models as required
• Identify opportunities to improve algorithms, data pipelines, and system performance
• Stay up to date with emerging machine learning technologies and best practices
Skills and Experience
• Strong programming skills inPython
• Experience with machine learning frameworks such asTensorFlow, PyTorch, or Scikit-learn
• Experience working withSQL and large datasets
• Familiarity withdata pipelines, feature engineering, and model optimisation
• Understanding ofMLOps practices, model deployment, and monitoring
• Experience working withcloud platforms such as AWS, GCP, or Azure
• Strong analytical thinking and problem-solving skills
Experience Required
•3–5 years’ experience inMachine Learning Engineering, Data Science, or AI development
• Experience deploying machine learning models into production environments
• Background working with large-scale data systems or data platforms
• Degree inComputer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline
What the Company Offers
• Competitive salary of£70,000
• Opportunity to work onreal-world machine learning systems and advanced AI solutions
• Collaborative engineering culture with strong technical mentorship
• Exposure to large datasets and cutting-edge ML technologies
• Clear career progression within a growing data and AI team
• Modern office environment inLondon
This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.
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