Spotify’s Subscriptions Mission focuses on converting listeners into lifelong subscribers by delivering seamless, valuable

experiences across pricing, packaging, and customer journeys. We build the systems and tools that power acquisition, retention,

and overall subscription growth at scale.

The Messaging Platform powers Spotify’s communications to over a billion users — from push notifications to emails and in-app

messages that connect listeners to the content they love. Within this space, the Paloma squad focuses on message optimization:

deciding which message reaches which user, through which channel, and at what moment.

We’re evolving how messaging works at Spotify — moving from short-term optimization toward systems that understand long-term user

journeys. By combining reinforcement learning approaches with deeper domain signals, we’re expanding how machine learning shapes

the entire messaging funnel.

Role

Senior Machine Learning Engineer - Messaging Platform

Similar Jobs

Senior Product Engineer

Risk Ledger•London

ABOUT US Risk Ledger is developing a network of connected organisations, all working together to defend against cybersecurity attacks in the supply chain. Organisations rely on us to establish trust, through sharing their security maturity and visualising the risks posed by their supply chain ecosystem. And we’re already trusted by customers like ASOS, British Airways, BAE Systems and the NHS. We are putting together an amazing and talented team from a diverse set of backgrounds and skillsets to drive us towards our vision. Risk Ledger is built on the respect we have for one another and our users, united by our shared values and mission. Every one of us is still learning: it’s how we grow as individuals. We’re curious. We’re ambitious. And we’re humble and honest. At Risk Ledger, we aim high to find the best solutions we can and always put our users first. THE TEAM: You’ll join a cross-functional department of Software Engineers, Product Managers and Designers, all collaborating together with the wider business to achieve impactful product outcomes. Everyone is involved from day one in shaping opportunities that provide outsized value to both clients and suppliers on Risk Ledger, keeping our users as top priority. We care deeply about building the right thing, in order to fundamentally shift mindsets in the cybersecurity industry. We ship quickly & continuously in order to learn and iterate - whilst always pushing for the highest possible quality bar and keeping security and automation front and centre. The core of our stack is GoLang, AWS, and Vue.js, with modern design philosophies and a cloud-native approach. THIS ROLE Our Product Engineers play a crucial role in our user and product experience. You will be focused on solving innovative end-to-end product challenges in the best manner for our customers. Whilst you may have a natural inclination towards the backend or frontend, we expect you to have a good breadth of knowledge across the stack. You’ll delve into all aspects of our tech stack and product portfolio, having meaningful impact on our customers, and the overall success of the business. As a Senior engineer, you’ll be embedded in a squad, trusted to autonomously lead and own impact in your area with little oversight. You should expect to work across the full stack, taking ownership of mid-to-large initiatives and driving them through to completion. You’ll set a high standard in your squad through the quality of your work and your ability to coach and support those around you. You’ll be collaborating on a daily basis with designers, product managers, other engineers and the wider business to create a great product experience and continuously ship value to our users. You’ll be expected to set a strong example within your squad, championing best practices and helping to level up the engineers around you. You will also contribute to shaping our engineering strategy and practices. IN THE ROLE YOU WILL; * Collaborate to deliver an exceptional product. From understanding initial needs to crafting outstanding solutions, you’ll work directly with product managers and designers to bring ideas to life. And by that, we don’t just mean implement requirements, we expect our engineers to understand our market and customers in order to be able to influence product strategy and challenge assumptions. * Develop high quality systems and code. Working across our stack, you’ll design and develop the systems that underpin the Risk Ledger product and advance us towards our vision. You’ll lead system design efforts, consistently producing high-quality, well-documented and thoroughly tested code that sets the standard for your squad. * Move fast, with an eye for quality. You enjoy moving fast while maintaining an extremely high quality bar through testing, automation, discipline, consistency and best practice, whilst treading a careful line in pragmatism and cost-benefit analysis. * Enjoy being a generalist. We are building an amazing and talented team from a diverse set of backgrounds and skillsets. Our engineers are empowered to work in all areas of our platform, and across all areas of the business, directly contributing to the wider success of the company. * Support the growth of those around you. You will mentor and coach junior and mid-level colleagues, helping them level up their hands-on technical skills, system design thinking and problem-solving approach. * Have an impact. We’re a growing startup - so you’ll have the opportunity to get involved in areas outside of your day to day role. YOU’LL HAVE; * Worked in multiple engineering teams focused on building a customer focused SaaS product; weighing up delivering value to clients against technical excellence. * Deep experience with either backend or frontend development. * Backend language preferably Go; Or something like Java, C# or Python * Frontend: Typescript preferably with VueJS or React * In either case, reasonable additional experience with: * SQL and ‘NoSQL’ Data stores, with deep knowledge of data model design * Containers and Orchestration: Docker / Kubernetes * Cloud providers and cloud native services, preferably AWS * Event driven systems, and messaging services such as SQS/SNS, Kafka or RabbitMQ * Experience leading system design for non-trivial features or projects, evaluating trade-offs and ensuring alignment with team and business goals. * A desire to deeply understand our customers and the problems they face, in order to improve their day-to-day experience. * An ability to thrive in ambiguity, tackling problems that might not be well defined and without obvious solutions, and comfortable operating autonomously. * A keen sense of curiosity, with a natural drive to learn and grow. * A passion to work collaboratively with others. We like to work as a team, not a collection of individuals and we expect you to have the same mindset. Passion for pairing, mobbing and other XP principles are a strong plus. YOU MIGHT HAVE; * Experience mentoring or coaching other engineers, helping them grow their technical skills and confidence. * A startup/scale-up background. We’re not concerned if you have not worked in this environment, as long as you are willing to get stuck into the ambiguity of an early stage company. * Experience of data processing, machine learning, AI or integrating large datasets into a product. * Worked with observability solutions (Kibana, Grafana, Sentry). The perks: * 💰Competitive base salary * 📈Generous EMI equity package * 👌Private pension * ✈️28 days annual leave + bank holidays * 🏖Additional 30 days of unpaid leave per year to use as you wish * 🎆Ad-hoc companywide time off over the festive period * 🏥Private healthcare with AXA Insurance - including enhanced mental wellbeing coverage * 🏠Hybrid working policy, typically 2-3 days in the office * 👶Enhanced family (parental) leave - gender-neutral policy, 12 weeks paid leave * 👪5 days Caretaker's leave * 😷Enhanced occupational sick pay * 💻£500 WFH budget * 📚All the learning resources and books you want to aid in your personal development * 🎉 Regular socials to unwind and have some fun Salary range £90,000—£120,000 GBP

Deadline: Aug 16Posted: Jun 23

Senior Software Engineer - Machine Learning (f/m/d)

Contentful•London

ABOUT THE OPPORTUNITY Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team. WHAT TO EXPECT? * Measure and ensure the high-quality output of ML workloads for our enterprise customers. * Design, build, and measure production software in the Contentful Platform. * Conduct focused research and testing using tools like Jupyter Notebook. * Optimize generative AI products for accuracy, speed, and scalability. * Integrate ML cloud solutions and adapt them to our large-scale use cases. * Integrate prompt engineering and fine-tuning for customer use cases. * Develop software that scales to meet the demands of high-load customer workloads. * Lead design reviews with peers and stakeholders to decide amongst available technologies. * Drive the ML education in the team and establish a high standard of quality & ownership WHAT YOU NEED TO BE SUCCESSFUL? * Proven experience as a technical leader in a product software development environment * Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads * Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs * Ability to organize and prioritize competing workloads * Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP) * Solid understanding of machine learning principles * Experience with container frameworks such as Docker or Kubernetes * Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth. * Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest Preferred: * Background includes machine learning and AI implementation * You can translate a research paper into a PoC if the code does not exist WHAT’S IN IT FOR YOU? * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Deadline: Aug 17Posted: Jun 24

Senior Specialist Solutions Engineer (AI/ML)

Databricks•London

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location: London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team) The impact you will have: * Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services. * Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples. * Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. * Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for: * Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering. Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment. * Pre-sales or post-sales experience working with external clients across a variety of industry markets Data Science/ML Skills * Hands-on industry ML experience in at least one of the following: * ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring * Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Hands-on experience working with Distributed Spark based systems. * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving our values through ML * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Deadline: Aug 16Posted: Jul 17