

Arrows
Machine Learning Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills required include Python, TensorFlow or PyTorch, and experience with recommendation systems and personalisation algorithms.
๐ - Country
United Kingdom
๐ฑ - Currency
ยฃ GBP
-
๐ฐ - Day rate
720
-
๐๏ธ - Date
June 16, 2026
๐ - Duration
Unknown
-
๐๏ธ - Location
Unknown
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
London Area, United Kingdom
-
๐ง - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Monitoring #TensorFlow #Deep Learning #A/B Testing #Data Pipeline #Python #Scala
Role description
We're working with a global media company looking for a Senior ML Engineer to own personalisation end to end.
You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them, all in service of recommendation engines and ranking algorithms that directly impact user experience
.
๐ช๐ต๐ฎ๐ ๐๐ผ๐'๐น๐น ๐ฏ๐ฒ ๐ฑ๐ผ๐ถ๐ป?
?:โ Design, train and optimise ML models for personalisation and recommendatio
nsโ Build and maintain scalable data pipelines for feature engineering and model traini
ngโ Deploy and monitor models in production โ performance, availability, relevan
ceโ Lead A/B testing and offline experiments to drive continuous improveme
ntโ Evaluate emerging research in deep learning and GenAI for real-world integrati
on
๐ช๐ต๐ฎ๐ ๐๐ฒ'๐ฟ๐ฒ ๐น๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ณ๐ผ
๐ฟ:โฆ Full ML lifecycle experience โ from development through to monitoring in p
rodโฆ Python + TensorFlow or PyTo
rchโฆ Kubeflow, TFX or similar training framewo
rksโฆ Model serving experience โ Triton, TorchServe, TF Serv
ingโฆ Real-time streaming and high-volume data process
ingโฆ Strong grasp of recommendation systems and personalisation algorit
hmsโฆ Familiarity with Generative AI in production setti
ngs
If this sounds like your kind of challenge, drop me a mess
age.
#MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowH
iring
We're working with a global media company looking for a Senior ML Engineer to own personalisation end to end.
You'll be shipping models to production, building the pipelines that feed them, and running the experiments that improve them, all in service of recommendation engines and ranking algorithms that directly impact user experience
.
๐ช๐ต๐ฎ๐ ๐๐ผ๐'๐น๐น ๐ฏ๐ฒ ๐ฑ๐ผ๐ถ๐ป?
?:โ Design, train and optimise ML models for personalisation and recommendatio
nsโ Build and maintain scalable data pipelines for feature engineering and model traini
ngโ Deploy and monitor models in production โ performance, availability, relevan
ceโ Lead A/B testing and offline experiments to drive continuous improveme
ntโ Evaluate emerging research in deep learning and GenAI for real-world integrati
on
๐ช๐ต๐ฎ๐ ๐๐ฒ'๐ฟ๐ฒ ๐น๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ณ๐ผ
๐ฟ:โฆ Full ML lifecycle experience โ from development through to monitoring in p
rodโฆ Python + TensorFlow or PyTo
rchโฆ Kubeflow, TFX or similar training framewo
rksโฆ Model serving experience โ Triton, TorchServe, TF Serv
ingโฆ Real-time streaming and high-volume data process
ingโฆ Strong grasp of recommendation systems and personalisation algorit
hmsโฆ Familiarity with Generative AI in production setti
ngs
If this sounds like your kind of challenge, drop me a mess
age.
#MachineLearning #MLEngineer #Personalisation #RecommendationSystems #MLOps #NowH
iring






