Senior Machine Learning Engineer

Maxwell Bond
Marylebone High Street, London, United Kingdom
Yesterday
£58,000 – £60,000 pa

Salary

£58,000 – £60,000 pa

Seniority
Senior
Posted
27 Aug 2026 (Yesterday)

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

* Strong understanding of MLOps, model serving, monitoring and 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.

Experience with TensorFlow Serving, Triton, TorchServe, Scala or production GenAI applications 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

Related Jobs

View all jobs
Spotlight

Data Engineer - Level 5 Coach - Fully Remote

Corndel London, United Kingdom
Remote

Senior Machine Learning Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Senior Machine Learning Engineer

PhysicsX England
US$200,000 – US$250,000 pa On-site Clearance Required

Senior Machine Learning Engineer

Hexwired Recruitment Limited United Kingdom
£90,000 – £160,000 pa Remote

Senior Machine Learning Engineer

Maxwell Bond Marylebone High Street, London, United Kingdom
£58,000 – £60,000 pa

Senior Machine Learning Engineer

PhysicsX London, United Kingdom

Senior Machine Learning Engineer

Hexwired Recruitment Limited London, United Kingdom
£60 – £80 ph Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.