At a Glance
- Tasks: Design and deploy machine learning models that drive data-driven decisions.
- Company: Join a growing tech team in Nottingham with a collaborative culture.
- Benefits: Flexible working arrangements, competitive salary, and access to cutting-edge tools.
- Other info: Stay ahead with the latest advancements in AI and machine learning.
- Why this job: Make an impact with innovative ML solutions in a dynamic environment.
- Qualifications: Strong Python skills and experience with cloud platforms required.
The predicted salary is between 18000 - 21600 £ per year.
Salary: £18,000 - £21,600 per year
Requirements
- Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn)
- Experience deploying ML models using cloud platforms (AWS, Azure, or GCP)
- Solid understanding of machine learning algorithms, data structures, and software engineering principles
- Experience with data pipelines, APIs, and microservices architecture
- Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes
- Strong problem-solving skills and attention to detail
- Bachelors or Masters degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)
Responsibilities
- Design, develop, and deploy machine learning models and pipelines in production environments
- Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions
- Optimize model performance, scalability, and reliability
- Build and maintain data pipelines and feature engineering workflows
- Monitor and retrain models to ensure continued performance over time
- Implement best practices for version control, testing, and CI/CD in ML systems
- Stay up to date with the latest advancements in machine learning and AI technologies
Technologies
- AI
- AWS
- Azure
- CI/CD
- Cloud
- Docker
- GCP
- Kubernetes
- Machine Learning
- PyTorch
- Python
- TensorFlow
- microservices
- Big Data
- Computer Vision
- Hadoop
- Kubeflow
- Security
- Spark
We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham, UK. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. Our collaborative and innovative work environment offers flexible working arrangements, access to cutting-edge tools, and technologies. We provide a competitive rate for our employees.
Machine Learning Engineer in Nottingham employer: Sivara GmbH
Join our dynamic team in Nottingham as a Machine Learning Engineer, where you'll thrive in a collaborative and innovative work culture that prioritises employee growth and development. We offer flexible working arrangements, access to the latest technologies, and a competitive salary, making us an excellent employer for those seeking meaningful and rewarding careers in the field of machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Nottingham
✨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 Sivara GmbH!
✨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 Machine Learning Engineer at Sivara GmbH.
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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 Sivara GmbH.
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We think you need these skills to ace Machine Learning Engineer in Nottingham
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 Sivara GmbH, 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 Sivara GmbH. 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 Sivara GmbH
✨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 Sivara GmbH!
✨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.
