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- Tasks: Join a dynamic team to deploy and maintain machine learning models in production.
- Company: A leading tech organisation with over 20 years of success and millions of daily users.
- Benefits: Enjoy hybrid working, competitive salary, multiple bonuses, and a positive workplace culture.
- Why this job: Be part of an innovative environment with cutting-edge technologies and exciting growth plans.
- Qualifications: Experience as a Senior Data Scientist with strong ML, Python, SQL, and cloud skills required.
- Other info: Flexible onsite days in central London; great opportunity for career growth.
The predicted salary is between 70000 - 95000 £ per year.
A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies.
The organisation have been running very successfully now for over twenty years and are recognised as market leaders in their sector. They have a global footprint, and their products are used by millions of users every single day. They are entering a really exciting period of growth, and are recruiting for a number of new positions to the business as they've got pretty big plans for the next few years - so it's genuinely a great time to join. They thrive on a positive and welcoming culture making it a great place to work, so it probably comes as no surprise that they have really low attrition rates, as so many of their staff members have long and successful careers with the business.
You’ll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are reliable, scalable, and adhere to best practices. You’ll be involved optimizing model performance, mitigating risks, and refining deployment pipelines to meet governance and regulatory standards. You will collaborate with the ML platform team advocating for effective use of tools like feature stores and model registries.
This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system robustness and cost efficiency.
Key skills and experience:
- Prior Senior Data Scientist with Machine Learning experience
- Strong understanding and experience with ML models and ML observability tools
- Strong Python and SQL experience
- Spark / Apache Airflow
- ML framework experience (PyTorch / TensorFlow / Scikit-Learn)
- Experience with cloud platforms (preferably AWS)
- Experience with containerisation technologies
Their offices are based in central London where they support hybrid working, you’ll be expected onsite about twice a week, however they are really flexible about what days. They’re offering a very competitive salary from £70,000 - £95,000, depending on experience with great benefits to match (which include multiple bonuses and more!). If you’re keen to find out more, please reach out to Matthew MacAlpine at Cathcart Technology.
Senior Data Scientist (MLOps) in City of London employer: Cathcart Technology
Contact Detail:
Cathcart Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist (MLOps) in City of London
✨Tip Number 1
Familiarise yourself with the specific MLOps tools and frameworks mentioned in the job description, such as PyTorch, TensorFlow, and Apache Airflow. Having hands-on experience or projects showcasing these technologies can set you apart during discussions.
✨Tip Number 2
Network with current employees or professionals in similar roles within the company. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your interview.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've optimised model performance or resolved production issues. Being able to articulate your problem-solving process and the impact of your solutions will demonstrate your expertise effectively.
✨Tip Number 4
Showcase your understanding of cloud platforms, particularly AWS, by discussing any relevant projects or experiences. Highlighting your ability to work with containerisation technologies will also resonate well with the hiring team.
We think you need these skills to ace Senior Data Scientist (MLOps) in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and MLOps. Emphasise your proficiency with ML models, Python, SQL, and any cloud platforms you've worked with, especially AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for the role and the company. Mention specific projects or experiences that align with the job description, particularly your work with machine learning models and deployment.
Showcase Your Technical Skills: In your application, include examples of how you've used tools like PyTorch, TensorFlow, or Apache Airflow in past projects. Highlight any experience you have with containerisation technologies and how they contributed to project success.
Demonstrate Cultural Fit: Research the company's culture and values. In your application, express how your work ethic and collaborative spirit align with their positive and welcoming environment, which is crucial for a role that involves teamwork.
How to prepare for a job interview at Cathcart Technology
✨Showcase Your MLOps Knowledge
Make sure to highlight your experience with MLOps practices during the interview. Discuss specific projects where you've deployed and maintained machine learning models, focusing on how you ensured their reliability and scalability.
✨Demonstrate Technical Proficiency
Be prepared to discuss your technical skills in Python, SQL, and any ML frameworks you've used, such as PyTorch or TensorFlow. You might be asked to solve a problem or explain a concept, so brush up on your technical knowledge beforehand.
✨Understand Their Culture
Research the company's culture and values. Since they pride themselves on a positive and welcoming environment, think of examples from your past experiences that demonstrate your ability to work well in a team and contribute to a supportive workplace.
✨Prepare Questions About Growth Opportunities
Since the company is entering an exciting period of growth, prepare thoughtful questions about potential career development and how you can contribute to their future plans. This shows your enthusiasm for the role and your long-term interest in the company.
