Senior Machine Learning Engineer

Tripledot Studios
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer - Agentic AI Platform

Senior Machine Learning Scientist

Role Overview

Tripledot is a leading independent mobile game company with over 25 million daily active users worldwide. We are building a company we are proud of.


Responsibilities

  • Implement cutting‑edge ML algorithms for personalization in gaming and test what works best for our games and data.
  • Design experiments and prototypes to test the viability and efficiency of new AI models.
  • Translate research findings into real‑world applications by creating algorithm prototypes in our codebase.
  • Convert prototypes into production‑level code that can be easily managed and deployed through the ML lifecycle.
  • Design, develop, and evaluate A/B tests to measure the effectiveness of personalization algorithms and optimize player experience.
  • Continuously monitor and analyze player data to identify new opportunities for personalization and improve existing algorithms.
  • Document work clearly and concisely, fostering knowledge sharing within the team.

Qualifications

  • A Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics) or equivalent experience.
  • Strong understanding of industry standard ML techniques (Classification, Regression, Clustering, Recommendation Systems, etc.).
  • Experience applying machine learning algorithms to solve real‑world problems.
  • Proven experience coding algorithms from research papers into production‑ready code (Python preferred).
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and deploying ML models to production.
  • Strong analytical programming and visualization skills (SQL, Python, R, matplotlib/ggplot).
  • Strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills.
  • A passion for mobile gaming and a desire to create engaging player experiences.

Bonus

  • Experience with more complex ML techniques (Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.
  • Experience deploying real‑time ML models.

Benefits

  • 25 days paid holiday plus bank holidays.
  • Hybrid working: office 3 days a week (Tues/Wed) and a day of choice.
  • Fully remote working: 20 days a year.
  • Daily free lunch: £12 for JustEat orders in office.
  • Company events and rewards: quarterly on‑site and off‑site events.
  • Employee Assistance Program: confidential support.
  • Family forming support: vital support on family forming/fertility journey (subject to policy).
  • Life assurance & group income cover.
  • Continuous professional development.
  • Private medical cover & health cash plan.
  • Dental cover.
  • Cycle to work scheme.
  • Pension plan.


#J-18808-Ljbffr

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 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.