Senior Machine Learning Engineer

Maxwell Bond; Greater London; Hybrid; GBP 54,000 - 66,000; Full time

Job summary

Maxwell Bond is seeking a Senior Machine Learning Engineer in West London for a hands-on role spanning the full ML lifecycle. The position is hybrid, with 2 days onsite, and focuses on building production‑grade models at scale.

Ideal candidates will have 4+ years in ML engineering, strong TensorFlow experience, and proficiency in Python, with exposure to MLOps and production deployment. Sponsorship is not available for this role.

Qualifications

• 4+ years of hands-on ML engineering experience.
• Strong commercial experience with TensorFlow.
• Hands-on with TFX and production ML pipelines.
• Experience taking ML models to production deployment.
• Experience with model serving technologies (TensorFlow Serving, Triton, TorchServe).
• Strong Python skills.
• Experience building scalable ML systems in production.

Responsibilities

• Design, train and optimise ML models using TensorFlow.
• Build and maintain scalable ML pipelines using TFX.
• Deploy and serving models within production environments.
• Monitor and maintain ML systems for reliability and performance.
• Work with large-scale structured and unstructured data.
• Contribute to experimentation and continuous model improvement.
• Collaborate with engineering, data and product teams to deliver ML solutions.

Skills

TensorFlow

TFX

Python

MLOps

Model serving

Production deployment

Monitoring

Data pipelines

Tools

TensorFlow Serving

TorchServe

Triton

Job description

Senior Machine Learning Engineer

£60,000 | 12-month FTC | West London | Hybrid - 2 days onsite

An opportunity for an experienced Machine Learning Engineer to build, deploy and operate production‑grade machine learning systems at scale.

This is a hands‑on ML Engineering role rather than a GenAI‑focused position. You'll work across the full machine learning lifecycle, from model development and training through to pipelines, deployment, serving, monitoring and ongoing optimisation.

The role

• Designing, training and optimising machine learning models using TensorFlow
• Building and maintaining scalable ML pipelines using TFX
• Deploying and serving models within production environments
• Monitoring and maintaining ML systems to ensure reliability and performance
• Working with large‑scale structured and unstructured datasets
• Contributing to experimentation and continuous model improvement
• Collaborating with engineering, data and product teams to deliver ML solutions that solve real business problems

Your experience

• 4+ years of relevant, hands‑on Machine Learning Engineering experience
• Strong commercial experience with TensorFlow
• Hands‑on experience with TFX (TensorFlow Extended) and production ML pipelines
• Experience taking ML models from development through to production deployment
• Experience with model serving technologies such as TensorFlow Serving, Triton, TorchServe or equivalent
• Strong understanding of MLOps, monitoring and ongoing model maintenance
• Experience building scalable ML systems in production environments
• Strong Python skills

Experience with recommendation systems, personalisation, ranking algorithms or high‑volume/real‑time data would be beneficial, but isn't essential.

Scala and experience applying GenAI in production would also be advantageous.

UK experience isn't essential

Previous UK experience isn't required. Applications are welcome from experienced Machine Learning Engineers who have built their careers internationally and are now looking to establish or continue their career in the UK.

You must already have the right to work in the UK for the duration of the 12-month contract, as sponsorship isn't available for this position.

If you've built and operated production ML systems using TensorFlow and TFX and are looking for your next opportunity in the UK, this could be a strong fit.

£60,000 | 12-month FTC | West London | Hybrid - 2 days onsite