Senior Machine Learning Engineer

Senior Machine Learning Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Tripledotstudios

At a Glance

  • Tasks: Implement cutting-edge ML algorithms to enhance player experience in mobile gaming.
  • Company: Join Tripledot Studios, a leading independent mobile games company with a global team.
  • Benefits: Enjoy 25 days holiday, hybrid working, private medical cover, and continuous professional development.
  • Other info: Be part of a dynamic team with excellent career progression opportunities.
  • Why this job: Make a real impact in the gaming world while working with innovative AI technologies.
  • Qualifications: Bachelor's degree in a quantitative field and experience in machine learning applications.

The predicted salary is between 63000 - 77000 £ per year.

Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our AI group

The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of Tripledot.

Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams.

The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.

Progression opportunities will be within the AI group or to studios in the group.

Key Responsibilities

  • Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
  • Designing 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 personalisation algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
  • Document your work clearly and concisely, fostering knowledge sharing within the team.
  • What we’re looking for
  • A Bachelor's degree or higher in a quantitative field (e. g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
  • Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
  • Experience in applying machine learning algorithms to solve real-world problems.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e. g. git, MLFlow, Kubernetes, Kubeflow, Trino, Air Flow).
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
  • Experience with using generative AI copilots or agents in daily development work.
  • A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Bonus points if you also have

  • Experience with more complex ML techniques (e. g. Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.
  • Working at Tripledot
  • 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year.
  • Hybrid Working
  • 20 days fully remote working: Work from anywhere in the world, 20 days of the year.
  • Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit.

Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park.

  • Continuous Professional Development: Propel your career with continuous opportunities for professional development.
  • Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands.
  • Life Assurance & Critical Illness Cover: Financial protection for you and your loved ones.
  • Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses.
  • Dental Cover: Flash your best smile with our dental cover.
  • Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]
  • Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.
  • Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute.
  • Pension Plan: Secure your future with our contributory pension plan.
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Senior Machine Learning Engineer employer: Tripledotstudios

Tripledot Studios is an exceptional employer that fosters a collaborative and innovative work culture, where creativity thrives in the heart of London. With a strong focus on employee growth, you will have access to progression paths within the AI group and across various studios, ensuring your career development is supported. Enjoy the unique advantage of working in the dynamic mobile games industry, where your contributions directly enhance player experiences and drive game success.

Tripledotstudios

Contact Details:

Tripledotstudios Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Machine Learning Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tripledotstudios or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tripledotstudios.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tripledotstudios.

Explore Job Boards Specifically for Tech Roles

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We think you need these skills to ace Senior Machine Learning Engineer

Machine Learning Algorithms
Personalisation Techniques
A/B Testing
Statistical Concepts
Analytical Programming
Python
SQL

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tripledotstudios.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tripledotstudios and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Tripledotstudios

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tripledotstudios uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.