At a Glance
- Tasks: Design and maintain scalable data and ML infrastructure for autonomous systems.
- Company: Innovative organisation at the forefront of autonomous technology.
- Benefits: Competitive salary, annual bonus, hybrid working, and career growth opportunities.
- Other info: Collaborative environment with potential for remote work.
- Why this job: Join a cutting-edge team and shape the future of autonomous solutions.
- Qualifications: 3+ years in Data Engineering or related fields; strong problem-solving skills.
The predicted salary is between 60000 - 80000 £ per year.
SC Clearance Eligibility Required
We're partnering with an innovative organisation operating at the forefront of autonomous systems. As they continue to expand their Data & AI capabilities, they're looking for a Data & ML Platform Engineer to help build and evolve the infrastructure that powers data processing, machine learning, and next-generation autonomous solutions.
The Role
You’ll sit at the intersection of Platform Engineering, Data Engineering, and MLOps, helping to design, build, and maintain a modern Data & AI Platform. Working closely with Data Scientists, Software Engineers, and Platform Teams, you’ll be responsible for creating scalable infrastructure, developing robust data pipelines, enabling ML workflows, and driving platform reliability and automation.
Key Responsibilities
- Design and maintain scalable data and machine learning infrastructure
- Build and optimise data pipelines for large-scale data processing
- Support model deployment, monitoring, and MLOps workflows
- Manage cloud-native platforms and containerised environments
- Implement observability, monitoring, and alerting solutions
- Develop Infrastructure as Code and automation frameworks
- Collaborate with cross-functional teams to support data-driven initiatives
- Contribute to the ongoing evolution of the organisation's Data & AI Platform
Skills & Experience
We're interested in engineers with experience across several of the following areas:
- Programming & Development: Python, Go, Java, or Rust
- Google Cloud Platform (preferred), AWS, or Azure
- Kubernetes and Docker in production environments
- Infrastructure as Code using Terraform and/or Ansible
- SQL databases including PostgreSQL, MySQL, or SQL Server
- Data modelling and data warehousing
- Large-scale data processing with Spark
- Workflow orchestration using Airflow
- Machine learning deployment and monitoring
- MLOps tooling and automation
- CI/CD pipelines and DevOps best practices
Observability & Reliability:
- Grafana
- Loki
- ELK Stack
- Monitoring, telemetry, and platform performance optimisation
About You
- 3+ years' experience in Data Engineering, Platform Engineering, Cloud Engineering, MLOps, or a related field
- Strong problem-solving and analytical skills
- Comfortable working in a fast-paced engineering environment
- Passionate about building scalable, reliable, and automated platforms
- Excellent communication and collaboration skills
Security Requirements
Due to the nature of the work, candidates must be eligible to obtain SC Clearance. This typically requires having lived in the UK continuously for the last 5 years.
What's On Offer?
- Salary around £80,000+, depending on experience
- 10% annual bonus (historically very reliable)
- Hybrid working with Bristol as the preferred location
- Potential flexibility for remote working arrangements
- Opportunity to work on cutting-edge autonomous vehicle and UAV technologies
- Collaborative and highly technical engineering environment
- Long-term career growth within a rapidly evolving sector
If you’re excited by the challenge of building the data and machine learning platforms that power the future of autonomous systems, we’d love to hear from you.
Data & ML Platform Engineer in Bristol employer: Revoco
Join a pioneering organisation at the forefront of autonomous systems, where you'll have the opportunity to work on cutting-edge technologies in a collaborative and highly technical environment. With a focus on employee growth, you can expect long-term career development while enjoying a hybrid working model based in Bristol, competitive salary, and a reliable annual bonus. This role not only offers the chance to build scalable data and ML platforms but also to contribute to innovative solutions that shape the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data & ML Platform Engineer in Bristol
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We think you need these skills to ace Data & ML Platform Engineer in Bristol
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!
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Craft a Tailored Cover Letter:For a full-time role at Revoco, 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 Revoco. 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 Revoco
✨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 Revoco!
✨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.
