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- Tasks: Build and maintain machine learning infrastructure for an exciting data platform.
- Company: Join a dynamic team at a leading tech company focused on innovation.
- Benefits: Enjoy 25 days holiday, flexible working, and a range of health benefits.
- Why this job: Make a real impact in the world of machine learning and data analytics.
- Qualifications: Experience in ML Ops, Azure, and strong problem-solving skills required.
- Other info: Great career growth opportunities in a collaborative, agile environment.
The predicted salary is between 50000 - 70000 £ per year.
We are looking for a skilled Machine Learning Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you will help build and maintain the infrastructure that supports machine learning models in a live environment.
Responsibilities:
- Developing and maintaining API services using Azure and Databricks
- Managing caching layers with Azure Cache (Redis)
- Using Delta Live Tables for data processing and analytics
- Integrating with cloud-based data storage solutions like Snowflake
- Collaborating with cross-functional teams in an agile environment
- Supporting analytics, model deployment, and data-driven decision tools
- Conducting performance, load, and end-to-end testing
- Writing pipeline code and managing deployments via Azure DevOps (GitHub)
Qualifications:
- Solid experience in ML Ops, particularly with Azure and Databricks
- Familiarity with Postgres, Redis, and Snowflake
- Understanding of Delta Lake Architecture, Docker, and container services
- Experience building and orchestrating APIs
- Strong problem-solving and communication skills
- Bonus: exposure to Azure Functions, Containers, or Insights
Benefits:
- 25 days holiday (rising with service), plus bank holidays
- Annual discretionary bonus
- Enhanced Pension scheme
- Flexible working and flexi-time options
- Healthcare cash plan
- Electric vehicle salary sacrifice scheme
- Discounts scheme
- Wellbeing app
- Enhanced maternity and paternity leave
- Life assurance (4x salary)
- Discounts on insurance
- Cycle to Work scheme
- Employee referral scheme
If you are interested in this position please click 'apply'.
Machine Learning Engineer in Bristol employer: Hunter Selection Limited
Contact Detail:
Hunter Selection Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other Machine Learning Engineers. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Databricks, and API development. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML Ops scenarios and be ready to discuss how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Machine Learning Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Azure, Databricks, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how you can contribute to our exciting data platform project. Keep it engaging and personal – we love a good story!
Showcase Your Projects: If you've worked on any cool machine learning projects, make sure to mention them! Whether it's building APIs or using Delta Live Tables, we want to know what you've done and how it relates to the role. Don't be shy!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Hunter Selection Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, Databricks, and Delta Lake Architecture. Brush up on your experience with APIs and cloud-based data storage solutions like Snowflake, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, focusing on your problem-solving abilities in ML Ops and API development.
✨Understand Agile Methodologies
Since the role involves collaborating with cross-functional teams in an agile environment, be ready to talk about your experience working in agile settings. Highlight any relevant projects where you contributed to sprints or participated in stand-ups, showcasing your teamwork and adaptability.
✨Ask Insightful Questions
Prepare thoughtful questions about the team, the data platform project, and the company culture. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Consider asking about their approach to model deployment and how they measure success in their projects.
