Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Senior AI Data Engineer

Tripledot Studios
London
4 days ago
Create job alert

Tripledotis 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, whoLOVEmaking 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 AI group works with all studios under Tripledot, engaging with Data teams, Products teams, and Engineering teams. Department Engineering Employment Type Permanent - Full Time Location London, UK Workplace type Hybrid

Role Overview

Working within a group function that is aimed to work with all group studios. Within the group AI functions you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners.. Within the various studios you will interact with data, engineering, and product teams. The group AI function’s goal is to make Tripledot an AI first company. You’ll be reporting into the VP of AI. 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. The first initiative you’ll be taking part of is LTV predictions both for Ad based revenues and IAP based ones.
Key Responsibilities
Design, build, and maintain scalable and reliable data pipelines to support AI/ML initiatives across the studio.

Collaborate with data scientists, ML engineers, analysts, and game developers to understand data needs and translate them into robust infrastructure solutions.

Develop and maintain ETL/ELT workflows that ingest and transform structured and unstructured data from various sources (e.g., game telemetry, player behavior, marketing).

Work with cloud platforms (e.g., AWS, GCP, Azure) to manage and optimize data lakes, warehouses (e.g., BigQuery, Redshift), and orchestration tools (e.g., Airflow).

Ensure data quality, consistency, and governance across all stages of the data lifecycle.

Monitor and troubleshoot data pipelines and ensure timely delivery of data to downstream systems.

Enable real-time and batch data processing to support AI use cases like player segmentation, churn prediction, personalization, and content optimization.

Advocate for best practices in data engineering, including CI/CD, version control, testing, and observability.

Required Skills, Knowledge and Expertise


4+ years of experience as a Data Engineer, ideally within gaming, mobile apps, or digital products.



Strong proficiency in SQL and Python.

Experience with OLAP Databases.

Understanding of DBT.

Hands-on experience with data pipeline orchestration (e.g., Airflow, Prefect, Dagster).

Experience with big data technologies and distributed systems (e.g., Spark, Kafka, Flink).

Familiarity with machine learning workflows, feature stores, and model serving is a plus.

Solid understanding of cloud infrastructure (e.g., GCP, AWS) and containerization (Docker, Kubernetes).

Passion for gaming and an interest in using AI to create better player experiences.

Strong Data Modelling skills.

A collaborative mindset with strong communication skills and a product-focused approach.

Working at Tripledot


25 days paid holidayin addition to bank holidays to relax and refresh throughout the year.



Hybrid Working:We work in the office 3 days a week, Tuesdays and Wednesdays, and a third day of your choice. 

20 days fully remote working:Work from anywhere in the world, 20 days of the year.

Daily Free Lunch:In the office you get £12 every day to order from JustEat 

Regular company events and rewards:quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit.

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.

Family Forming Support:Receive vital support on your family forming/ fertility journey with our support program [subject to policy]

Life Assurance & Group Income Cover:Financial protection for you and your loved ones.

Continuous Professional Development


Private Medical Cover& Health Cash Plan


Dental Cover


Cycle to Work Scheme


Pension Plan

About Tripledot

Related Jobs

View all jobs

Data Engineer

Data Engineer

Principal, AI Data Scientist (Remote) (London)

Global Director of Software and Data Engineering, Enterprise Data Office

Senior Consultant - Data Engineering, BCM, FS

Senior Data Scientist (AI & ML)

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.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.

10 Machine‑Learning Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With deep‑learning projects now integral across healthcare, finance and tech, UK demand for machine‑learning talent is booming. Lightcast shows +50 % YoY growth in UK adverts referencing “machine learning,” “deep learning,” “computer vision” or “reinforcement learning” in Q1 2025. Monthly vacancies sit around 1,800–2,100, but certified ML specialists number fewer than 15,000. Specialist recruiters help candidates access hidden roles, competitive packages, and structured interview prep. How we screened: Only UK‑registered agencies with clear ML/AI or Data practices Agencies that posted ≥ 5 UK ML roles between March and June 2025

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.