At a Glance
- Tasks: Build and scale cloud-native infrastructure for machine learning and improve model performance.
- Company: Leading UK consumer technology business investing in Data & AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Join a collaborative team and shape the future of MLOps with cutting-edge technologies.
- Qualifications: Experience in Python, AWS, and Infrastructure as Code.
The predicted salary is between 63000 - 77000 £ per year.
I'm currently partnering with one of the UK's leading consumer technology businesses as they continue to invest heavily in their Data & AI capabilities.
They're looking for an MLOps Engineer to help build and scale the infrastructure that enables machine learning across the organisation.
Working alongside Data Scientists, Data Engineers and Software Engineers, you'll play a key role in taking ML models from experimentation through to reliable, production-ready deployment.
This is an opportunity to join a highly collaborative engineering environment where you'll influence the future of the ML platform while working with modern cloud technologies and best engineering practices.
- What you'll be doing
- Building and scaling cloud-native infrastructure for machine learning
- Developing tooling that enables Data Scientists to deploy models efficiently
- Improving model monitoring, performance and reliability in production
- Building infrastructure using Infrastructure as Code
- Collaborating across Engineering and Data teams to improve the end-to-end ML lifecycle
- Helping shape the future direction of the company's MLOps capability
- Python
- AWS (Sage Maker, ECS, Lambda, S3, Glue)
- Terraform
- Fast API
- Snowflake
- SQL
- Grafana
- Metaplane
- #J-18808-Ljbffr
MLOps Engineer in London employer: Cognify Search
Cognify Search offers an exceptional work environment for the Head of ML & AI, where innovation meets collaboration. With a focus on enhancing customer experience through cutting-edge technology, employees benefit from a culture that prioritises professional growth and teamwork. Located in a dynamic eCommerce hub, this role provides unique opportunities to lead impactful projects while working alongside industry experts.
StudySmarter Expert Advice🤫
We think this is how you could land MLOps Engineer in London
✨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 Cognify Search!
✨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 MLOps Engineer at Cognify Search.
✨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 Cognify Search.
✨Apply Directly through Our Website
When you find a suitable opening like MLOps Engineer at Cognify Search, 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 MLOps Engineer in London
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 Cognify Search, 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 Cognify Search. 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 Cognify Search
✨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 Cognify Search!
✨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.
