At a Glance
- Tasks: Develop and deploy machine learning models to solve real business problems.
- Company: Join a large organisation focused on AI and machine learning solutions.
- Benefits: Competitive daily rate, remote work, and potential for contract extension.
- Other info: Opportunity to work within Agile teams and engage with diverse stakeholders.
- Why this job: Make an impact by delivering scalable AI solutions in a dynamic environment.
- Qualifications: Strong Python skills and experience with ML frameworks required.
The predicted salary is between 120000 - 120000 £ per year.
A large organisation is seeking a Data Scientist to support the delivery of AI and machine learning solutions across an evolving enterprise data environment. This is a hands-on role working across the full ML lifecycle, from prototype through to production, focused on delivering scalable, value-driven outcomes.
Experience requirements & Responsibilities:
- Develop and deploy machine learning models to solve business problems.
- Translate prototypes into production-ready solutions.
- Build and maintain data pipelines and ML infrastructure.
- Prepare and analyse large datasets, extracting actionable insights.
- Evaluate, optimise and monitor model performance.
- Support the design and delivery of AI initiatives.
- Work within Agile teams and engage with stakeholders across the business.
Essential:
- Strong Python skills (R, Java or C++ beneficial).
- Experience with ML frameworks (e.g. TensorFlow, PyTorch).
- Experience working with large datasets and data tools.
- Knowledge of statistical analysis and data visualisation.
- Experience with cloud platforms (AWS or Azure).
- Strong communication skills.
If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.
Remote Data Scientist - ML & AI in Production (6-Month) in Bristol employer: Involved Solutions
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your contributions as a Data Scientist will directly impact the delivery of cutting-edge AI and machine learning solutions. With opportunities for professional growth and the flexibility of remote work combined with occasional travel to the picturesque Southwest England, you will thrive in an environment that encourages continuous learning and development while working alongside talented professionals committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Scientist - ML & AI in Production (6-Month) in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that demonstrate your ability to translate prototypes into production-ready solutions. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and familiarising yourself with ML frameworks like TensorFlow and PyTorch. Be ready to discuss how you've built and maintained data pipelines in past roles.
✨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 connecting with talented individuals like you who are eager to make an impact in the AI and machine learning space.
We think you need these skills to ace Remote Data Scientist - ML & AI in Production (6-Month) in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and data science. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and machine learning. We love seeing candidates who can connect their personal experiences to the role, so let your personality come through.
Showcase Your Projects:If you’ve got any cool projects or case studies, make sure to mention them in your application. We’re keen to see how you’ve tackled real-world problems using ML and AI, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Involved Solutions
✨Know Your ML Frameworks
Make sure you brush up on your experience with ML frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Showcase Your Python Skills
Since strong Python skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and algorithms beforehand.
✨Prepare for Data Discussions
Expect questions about your experience with large datasets and data tools. Have examples ready that showcase how you've prepared, analysed, and extracted insights from data, and be prepared to discuss the impact of your findings.
✨Engage with Stakeholders
Communication is key in this role, so think about how you've engaged with stakeholders in past projects. Be ready to share examples of how you translated technical concepts into business value, and how you collaborated within Agile teams.
