Machine Learning Engineer

Almedia

This isn’t your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We’re aiming to become Germany’s second bootstrapped unicorn. Almedia is already Europe’s #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 70 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world. MACHINE LEARNING ENGINEER £130K – £230K • Offers Equity You’ll take ownership of designing, developing, and scaling impactful, production-grade ML solutions that power Almedia’s products and growth. This is a hands-on role involving active participation in code development and delivery. TYPES OF PROBLEMS YOU’LL BE SOLVING * Designing and optimising user reward schemes based on player behaviour and market shifts * Leading the design and implementation of solutions for personalised, real-time reward values * Developing solutions for identifying underperforming reward campaigns and causes of failure YOUR ROLE * Lead end-to-end delivery: build, deploy, and optimise solutions and services at scale * Provide technical leadership across ML projects, ensuring best practices and high-quality code * Align technical capabilities with business priorities to unlock high-value opportunities * Apply advanced statistical and causal inference methods to ensure robustness and reliability * Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions YOU HAVE * Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments * Deep knowledge of statistics (A/B testing, regression, probability) * Strong programming background in Python and SQL, with hands-on cloud experience * Ability to mentor and set technical direction for ML engineers and cross-functional peers * Strong communication skills to influence both technical and non-technical stakeholders BONUS POINTS FOR * Passion for gaming and strong understanding of player behaviour * Experience with adtech, monetisation platforms, or the gambling industry * Familiarity with gaming KPIs such as pLTV, retention, and ROAS WHY ALMEDIA? * Scale With Almedia: Have a real impact and grow alongside a startup that has been profitable from day one. * High-Growth Environment: We encourage all staff to take ownership of projects and consistently raise the bar. * Do More, Get More: Generous bonus scheme to ensure great, proactive work is valued. We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Professional and Financial Services Business unit, we bring everything we have learned in more than a decade of Applied AI, and use it to help our clients navigate a rapidly changing landscape. We develop and embed AI solutions which help financial institutions become more efficient, enhance customer experience, and find the commercial upside in uncertain markets. Within the constraints of a highly regulated industry, we see so much opportunity for impactful innovation and are proud to set the gold-standard for marrying technical excellence with safe deployment. ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Financial Services clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. WHAT YOU'LL BE DOING: * Building and deploying production-grade ML software, tools, and infrastructure. * Creating reusable, scalable solutions that accelerate the delivery of ML systems. * Collaborating with engineers, data scientists, and commercial leads to solve critical client challenges. * Leading technical scoping and architectural decisions to ensure project feasibility and impact. * Defining and implementing Faculty’s standards for deploying machine learning at scale. * Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. WHO WE'RE LOOKING FOR: * You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. * You possess strong Python skills and solid experience in software engineering best practices. * You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. * You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale * You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. * You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. * You thrive in a fast-paced environment, and enjoy the autonomy to own scope, solve and delivery solutions Our interview process: 1. Talent Team Screen (30 mins) 2. Pair Programming Interview (90 mins) 3. System Design Interview (90 mins) 4. Commercial Interview (60 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

Faculty

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM In our Retail & Consumer Business Unit, we bring everything we have learned in more than a decade of Applied AI and use it to help leading retailers, consumer brands, marketplaces, and digital commerce businesses navigate a rapidly evolving landscape. We develop and embed AI solutions that help organisations better understand their customers, optimise operations, improve forecasting and decision-making, and unlock new opportunities for growth. From supply chains and merchandising to marketing, personalisation, and customer experience, we work with clients to deliver measurable commercial impact through AI. We are proud to combine technical excellence with practical deployment, ensuring solutions create value in complex, real-world environments. ABOUT THE ROLE Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Retail & Consumer clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Working closely with clients and cross-functional teams, you’ll ensure the technical feasibility and successful delivery of high-quality, production-grade ML systems that drive tangible business outcomes. WHAT YOU’LL BE DOING * Building and deploying production-grade ML software, tools, and infrastructure. * Creating reusable, scalable solutions that accelerate the delivery of AI and machine learning systems across retail and consumer use cases. * Collaborating with engineers, data scientists, product teams, and commercial leads to solve critical client challenges. * Leading technical scoping and architectural decisions to ensure project feasibility, scalability, and commercial impact. * Defining and implementing Faculty’s standards for deploying machine learning systems in production. * Acting as a trusted technical advisor to customers and partners, translating complex ML concepts into actionable business outcomes. * Applying machine learning to challenges such as demand forecasting, customer analytics, personalisation, pricing, marketing optimisation, inventory management, and operational efficiency. * Supporting clients in adopting AI capabilities that improve customer experiences and drive sustainable growth. WHO WE’RE LOOKING FOR * You understand the full machine learning lifecycle and have experience operationalising models built with frameworks such as Scikit-learn, TensorFlow, or PyTorch. * You possess strong Python skills and solid experience in software engineering best practices. * You bring hands-on experience with cloud platforms and infrastructure (e.g. AWS, Azure, GCP), including architecture and security. * You’ve worked with containerisation and orchestration tools such as Docker and Kubernetes to build and manage applications at scale. * You are comfortable with core ML concepts, including probability, statistics, experimentation, and common machine learning techniques. * Experience working with retail, consumer, ecommerce, marketing, supply chain, or customer data is beneficial but not essential. * You’re an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. * You thrive in a fast-paced environment and enjoy the autonomy to own scope, solve challenging problems, and deliver impactful solutions. OUR INTERVIEW PROCESS * Talent Team Screen (30 mins) * Pair Programming Interview (90 mins) * System Design Interview (90 mins) * Commercial Interview (60 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.