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- Tasks: Drive innovation in AI/ML to create transformative products and solutions.
- Company: Join Poppulo, a pioneering software company revolutionising workplace technology.
- Benefits: Enjoy competitive salary, performance bonuses, flexible hours, and educational support.
- Why this job: Be at the forefront of AI technology and make a real impact on employee communications.
- Qualifications: Master’s or PhD in relevant field with 4+ years of experience in AI/ML.
- Other info: Dynamic culture that values diversity and encourages personal growth.
The predicted salary is between 43200 - 72000 £ per year.
Are you searching for an opportunity to play a key role in driving the dramatic growth of a highly successful software company? At Poppulo, we’re working on what’s next in communications and workplace technology. We exist to make each of these things easier. Our omnichannel employee communications, customer communications, and workplace experience platform is trusted by over 6,000 organizations today, reaching more than 35M employees and delivering content to 500,000+ digital signs.
We are looking for a Sr. Machine Learning (ML) Engineer with a strong sense of ownership. If you are an ML practitioner who thrives in an environment where innovation meets practical application to build disruptive products, this role is for you. At Poppulo, we intend to redefine boundaries and reshape Employee Communications and Digital Signage through the power of cutting-edge machine learning and AI. This role is pivotal to the success of our AI team and bridges the gap between research and production by leveraging cutting-edge AI technology into leading, world-class solutions.
As a Sr. Machine Learning (ML) Engineer, you will be the key driver for innovative problem solving by combining technical excellence with creative application of ML. Your expertise will be crucial in uncovering hidden opportunities within product ideas. Additionally, you will stay at the forefront of emerging technologies, continuously evaluating new AI/ML frameworks, tools, and best practices to help guide the evolution of our software solutions.
Key Responsibilities- Solve complex challenges with AI/ML: Design, develop new AI-powered products that deliver the product roadmap.
- Implement ML lifecycle - from data engineering and model development to cloud-based deployment, integrations and operationalisation.
- Productionise full-stack AI/ML solutions: Translate emerging techs like GenAI into innovative, practical solutions that transform customer experiences.
- Align with Product Strategy: Create proof of concepts at high cadence to demonstrate/validate potential solutions as per our product strategy.
- Optimise Model and system performance: Fine-tune, optimise training and inference performances.
- Wider collaboration: Partner with cross-functional teams to demonstrate and validate the impact of ML innovations before introducing them into the product ecosystem.
- Research Savvy: Staying up-to-date with SOTA and industry trends in AI/ML.
- Strong AI/ML background: Expertise in designing, building and deploying real-world ML applications (Computer Vision, Classification, etc.)
- Strong foundation in GenAI: Deep understanding of generative models (LLMs, etc.), AI Agents, prompt engineering RAG, vector databases.
- Technical Expertise: Proficiency in ML/GenAI frameworks, databases, shell scripts and programming languages.
- MLOps expertise: Hands-on experience in setting up MLOps on AWS, Azure and GCP.
- Full-stack expertise: Proficiency in data pipelines, distributed systems, APIs, web front-end, mobile apps, automated testing and cloud platforms (AWS, GCP, etc.).
- Exceptional problem-solving skills: Ability to simplify and breakdown complex technical and business challenges to create innovative and practical solutions.
- Team management: Experience in guiding teams to deliver high-impact solutions.
- Continuous learning: Ability to learn quickly and apply new technologies to solve problems practically.
- Master’s or PhD in AI, Statistics, Computer Science or a related field.
- At least 4 years’ experience in building complex, distributed software and AI systems.
- Strong understanding of entire end-to-end software development lifecycle.
- An excellent workplace culture.
- Competitive salary.
- Company performance-related bonus.
- Medical insurance.
- Flexible working hours.
- Educational assistance.
- In-house soft skills training.
We are a values-driven organization that encourages our employees to bring their authentic selves to work every day and empowers everyone to make a tangible impact on our products, clients, and culture. We offer a dynamic environment with driven, fun, and flexible individuals who thrive on challenge and responsibility.
Bring Your Best Self- We show up authentically, are self-aware and always strive to be better.
- See it. Own it. Solve it. We proactively innovate and solve for our customers and each other.
- We set an example with high standards for our work.
- We foster a culture of learning, acknowledging our successes and our failures.
- We value and celebrate our diversity.
- We learn from others, respecting their expertise and focus on building trust.
Poppulo is an equal opportunity employer. We are committed to protecting your privacy. For details on how we collect, use, and protect your personal information, please refer to our Job Applicant Privacy.
Senior Machine Learning Engineer (GenAI & Agentic Systems) employer: Poppulo
Contact Detail:
Poppulo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (GenAI & Agentic Systems)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with Poppulo employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your machine learning projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your thought process. Remember, it’s not just about getting the right answer but how you approach the problem!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value diverse perspectives and are keen to see how you can contribute to our team at Poppulo. Just go for it!
We think you need these skills to ace Senior Machine Learning Engineer (GenAI & Agentic Systems)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Machine Learning Engineer role. Highlight your expertise in AI/ML, especially in areas like GenAI and MLOps, to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how you can contribute to our mission at Poppulo. Share specific examples of your past work that demonstrate your problem-solving skills and innovative thinking.
Showcase Your Projects: If you've worked on any relevant projects, whether personal or professional, make sure to include them! We love seeing practical applications of your skills, especially those that involve cutting-edge technologies.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Poppulo
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals, especially around generative models and MLOps. Be ready to discuss your past projects in detail, focusing on how you tackled complex challenges and the impact of your solutions.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your exceptional problem-solving abilities. Think of specific examples where you've simplified complex technical issues or created innovative solutions. This will show that you can think critically and creatively, which is key for this role.
✨Align with Their Vision
Familiarise yourself with Poppulo's mission and values. Be prepared to discuss how your skills and experiences align with their goals, particularly in transforming customer experiences through AI. Showing that you understand their vision will set you apart.
✨Ask Insightful Questions
Prepare thoughtful questions about their current projects, team dynamics, and future directions in AI/ML. This not only shows your genuine interest but also helps you gauge if the company culture and work environment are a good fit for you.
