Job Description

Machine Learning Engineer | AI Tech | Hybrid or Fully Remote (UK-Based)

Location:

West London (2 days/week) or Fully Remote (UK only)

Salary:

50,000 - 75,000 per annum

Work Type:

Full-Time | Permanent

Level:

2-3 years of experience


Do you love solving real-world problems with data and machine learning? Are you someone who thrives in a fast-paced environment where you can see your work making an impact immediately? We're building intelligent tools that solve big challenges--and we're looking for someone like you to help us make them even smarter.


This is a unique opportunity to apply your ML knowledge across a suite of AI-powered products, working with a high-performing, collaborative team of engineers and data scientists.


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About the Role

As a

Machine Learning Engineer

, you'll be hands-on with the full ML pipeline--from preprocessing data to deploying models in production. You'll work closely with data scientists, product managers, and software engineers to deliver efficient, scalable, and robust solutions that drive our AI systems forward.


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Key Responsibilities

? Develop, train, test, and deploy ML models for real-world applications


? Work across teams to integrate models into production systems


? Own the full lifecycle of ML solutions, from feature engineering to monitoring


? Continuously refine and optimize existing models for better performance


? Quickly analyze and manipulate data to generate actionable insights


? Maintain clear, concise documentation--no fluff, just value


? Stay current with ML research and apply new techniques as appropriate


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What We're Looking For

? Degree in Computer Science, Data Science, or related field (or equivalent experience)


? 2-3 years' hands-on experience in machine learning


? Proficient in Python and Java; familiar with NLP libraries and techniques


? Practical experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)


? Comfortable with data preprocessing, feature engineering, and model tuning


? Knowledge of statistics and applying it to ML problems


? Familiarity with AWS and containerization tools like Kubernetes


? Self-motivated, fast learner with a "get-it-done" attitude


? Fluent in written and spoken English


###

Preferred (But Not Required)

Experience in fast-moving SaaS or tech environments


Background in deploying deep learning or large-scale ML systems


Experience working with big data or distributed computing


Strong communication skills across cross-functional teams


Ability to think both creatively and analytically


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Benefits & Perks

Daily breakfast, drinks, and snacks


? Weekly team lunches every Monday and Friday


Regular team socials - from karting to board games


Annual global team retreat - fully hosted


? Latest tech and tools


? Generous holiday allowance


Pension contributions


Hybrid working or fully remote (UK only)

Apply now

to bring cutting-edge machine learning to life in an environment that values speed, autonomy, and innovation.

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