Machine Learning Scientist

Fruition IT
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist

Machine Learning Scientist — Digital Biology for Crop Protection

Staff Machine Learning Scientist - AI Agent Systems

Job Description

Machine Learning Scientist

6 Month Contract

UK / London - Remote

An unique opportunity for an experienced Machine Learning Scientist to join a market-leading fintech and help shape customer experience with cutting-end ML models

The Machine Learning Scientist will jump in and work across the full end-to-end lifecycle to create and deploy innovative ML solutions. The Machine Learning Scientist will join a growing product-focused, cross-functional team working on key projects within a customer facing application.

Reporting into the Engineering Director, the Machine Learning Scientist will primarily work on NLP and text-based models, alongside advanced classification techniques and demand forecasting. Collaborating closely with both product and engineering teams, the Machine Learning Scientist will execute well-defined tasks that drive real impact.

Machine Learning Scientist - Key Requirements:

Strong experience in Python and SQLEnd-to-end machine learning experience, with a strong focus on modeling and some exposure to deploymentsSkilled in NLP and text-based models.Experience working in product-driven organisations and cross-functional teams.Experience coding in Java and/or Golang will be advantageous, but not essential

This is a hands-on role where you'll come in, execute, and make a real impact on customer focused features. If you're ready to tackle some key ML projects, we'd love to hear from you!

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Education Jobs

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.