At a Glance
- Tasks: Develop and optimise AI services, manage ML pipelines, and implement real-time data processing.
- Company: Global tech company creating smart shopping experiences with a strong engineering culture.
- Benefits: Competitive salary, flexible hybrid working, and international exposure.
- Other info: Dynamic role with opportunities for research and innovation in AI.
- Why this job: Join a high-impact team and work on cutting-edge ML projects at scale.
- Qualifications: Strong Python skills, AWS experience, and knowledge of NLP and ML monitoring tools.
Senior ML engineering role combining hands-on model development with production system ownership at genuine scale. LLM/RAG, NLP, and streaming ML pipelines processing millions of items daily. AWS-native (Lambda, ECS, SageMaker, MSK, Kafka), strong Python required.
High-impact role across AI Insights, Automated Answers, and mission-critical Machine Moderation systems.
About the Company: Our client is a global technology company building smart shopping experiences, connecting thousands of brands and retailers with billions of consumers through enterprise-grade content and insight tools. Recognised as a Great Place to Work across multiple regions including the UK, they operate at serious scale with a strong engineering culture.
Role Overview: We're looking for a Senior ML/AI Engineer to join a Machine Learning team responsible for critical AI-powered services. This is a hands-on role spanning model development and production maintenance in a fast-paced, data-rich environment. You'll work across LLM/RAG architectures, NLP-based content moderation, and high-volume streaming pipelines, with real ownership of systems processing millions of reviews, questions, and answers daily.
Key Responsibilities:
- Develop and enhance AI services including AI Insights and AI Automated Answers using LLM/RAG architectures.
- Maintain and optimise the mission-critical Machine Moderation system, built on Python NLP models deployed on AWS (Lambda, ECS, SageMaker, SQS, SNS).
- Train, evaluate, and monitor ML models using orchestration tools such as Flyte or Airflow.
- Manage ML pipelines on AWS with containerised services and CI/CD via GitHub Actions.
- Implement streaming data processing with Kafka for real-time content moderation.
- Monitor model performance and drift using observability tools such as Arize AI.
- Collaborate with Scala-based service teams and maintain API integrations for model serving.
- Conduct architectural reviews for ML pipeline design and Infrastructure as Code (Terraform).
- Research and implement novel LLM/NLP approaches for content moderation and consumer insights.
What You'll Need:
Essential:
- Strong Python proficiency for ML model development and deployment.
- Experience with AWS cloud services (Lambda, ECS, ECR, SageMaker, MSK, SNS, SQS).
- Experience with NLP, LLMs, and production ML monitoring tools.
Desirable:
- Familiarity with ML orchestration platforms and CI/CD pipelines.
- Knowledge of streaming technologies (Kafka) and high-volume data processing.
- Strong Software Engineering or Computer Science background.
- Willingness to work with Scala-based systems.
Benefits & Package:
- £65,000-£75,000.
- Flexible office attendance - hybrid working available.
- Global business with genuine scale and international exposure.
- High-impact, research-oriented ML work at production scale.
You must currently reside in Northern Ireland.
Senior ML/AI Engineer employer: Ocho
Join a dynamic and innovative digital consultancy that champions a remote-first work culture, offering exceptional benefits such as a competitive salary, generous annual leave, and a commitment to professional development. With a focus on quality and collaboration, you'll thrive in an environment that values your expertise and provides the autonomy to shape QA processes while working on complex, multi-component systems alongside a talented team in Northern Ireland.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML/AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ocho!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior ML/AI Engineer at Ocho.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ocho.
✨Apply Directly through Our Website
When you find a suitable opening like Senior ML/AI Engineer at Ocho, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior ML/AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ocho, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ocho. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ocho
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ocho!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
