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- Tasks: Join a dynamic team to implement ML algorithms in production systems.
- Company: A successful European car insurance tech company with a friendly culture.
- Benefits: Up to £90k salary, flexible remote work, and wellness perks.
- Other info: Diverse team with excellent support networks and growth opportunities.
- Why this job: Make an impact in a collaborative environment while advancing your career.
- Qualifications: Experience in Python development and ML model lifecycle.
The predicted salary is between 90000 - 90000 £ per year.
Are you a data savvy Python Developer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence.
As a Python Developer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers on complex insurance underwriting and pricing systems. There'll be a range of projects with a focus on implementing Machine Learning algorithms into production systems. There's a collaborative team Agile environment where you'll participate in technical discussions and have your voice heard, there's also opportunities to mentor other more junior team members if desired.
Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you.
About you:
- You are a data savvy Python Developer with advanced coding skills
- You have experience across the full lifecycle of ML model development including into production
- You're collaborative, enjoy problem solving and working with others to overcome technical challenges
- You have a strong knowledge of AWS
- You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns
- Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential
What's in it for you:
- As a Python Developer (Machine Learning AWS) you will earn a competitive package: Up to £90k salary
- Remote working including flexible working hours
- Workplace nursery scheme
- Enhanced maternity package
- 25 days holiday plus ability to buy or sell 5 days p/year + extra 'duvet day'
- Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme
- Weekly Yoga and monthly Acupuncture sessions, Headspace membership
- Diverse, inclusive team environment with a range of support networks
- A range of other perks including Perkbox, cycle to work, season ticket loan
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Python Developer Machine Learning AWS in Slough employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer Machine Learning AWS in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with Python, Machine Learning, or AWS. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a GitHub profile showcasing your projects, especially those involving ML algorithms and AWS. This gives potential employers a sneak peek into your coding style and problem-solving abilities.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python and Machine Learning. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it shows you're proactive and genuinely interested in the role.
We think you need these skills to ace Python Developer Machine Learning AWS in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and machine learning. We want to see how you've implemented ML algorithms in production, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your skills align with our needs. We love seeing genuine enthusiasm for the position.
Showcase Your Collaboration Skills: Since we work in cross-functional teams, it's important to demonstrate your ability to collaborate. Share examples of how you've worked with others to solve technical challenges in your application.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Client Server
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with implementing ML algorithms and how you've tackled challenges in production. Practising coding problems can also help you feel more confident.
✨Familiarise Yourself with AWS
Since AWS is a key part of the role, take some time to review your knowledge of AWS services relevant to machine learning. Be prepared to discuss how you've used AWS in past projects and any specific tools like Amazon RedShift or MLflow that you might have experience with.
✨Showcase Your Collaboration Skills
This role involves working closely with Data Scientists and Machine Learning Engineers, so be ready to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve mentored junior team members or contributed to a team’s success.
✨Prepare for Technical Discussions
Expect technical discussions during the interview, especially around software engineering best practices and design patterns. Brush up on concepts like microservices, TDD, and DDD, and be ready to explain how you've applied these in your work.