Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge machine learning solutions in a dynamic environment.
- Company: Join Rubicon Consulting, a leader in talent management and business optimisation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Make an impact with your ML expertise while collaborating with top-notch teams.
- Qualifications: 5+ years in ML, strong Python skills, and experience with cloud platforms.
- Other info: Exciting projects await in a supportive and innovative workplace.
The predicted salary is between 48000 - 72000 £ per year.
Rubicon Consulting is currently recruiting for a Machine Learning Developer on a 6 month contract based in Midlands.
Requirements:
- 5+ years of experience designing and implementing end‑to‑end ML solutions in production.
- Strong command of ML algorithms, model development, training, validation, and optimization.
- Expertise in Python, ML libraries, and version control (Git).
- Clear understanding of model evaluation, data leakage, and the bias/variance trade‑off.
- Hands‑on experience with cloud platforms (AWS/Azure/GCP) and MLOps practices, including Docker, CI/CD, deployment, and monitoring.
- Demonstrated success deploying and maintaining production ML models and writing modular, production‑grade code.
- Strong experience preparing, transforming, and validating complex real‑world datasets.
- Familiarity with LLMs/SLMs and modern ML frameworks (e.g., PyTorch, TensorFlow, HuggingFace).
- Excellent problem‑solving abilities and communication skills.
- Proven ability to work cross‑functionally with engineering and product teams.
Our Company: Rubicon Consulting is a Talent management consultancy which helps you to optimise business performance and competitive advantage by choosing the right people first time.
Machine Learning Developer employer: Rubicon Consulting
Contact Detail:
Rubicon Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those involving Python and cloud platforms. We recommend using GitHub to share your code and demonstrate your expertise in ML algorithms and model optimisation.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills and understanding of model evaluation. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience with MLOps practices and real-world datasets.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in working with us at Rubicon Consulting, which can give you an edge over other candidates.
We think you need these skills to ace Machine Learning Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ML solutions and the specific skills mentioned in the job description. We want to see how your background aligns with what we're looking for!
Showcase Your Projects: Include examples of your past projects, especially those involving Python, cloud platforms, and MLOps practices. This gives us a clear picture of your hands-on experience and problem-solving abilities.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so make sure to communicate your passion for machine learning and how you can contribute to our team.
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 don’t miss any important updates from us!
How to prepare for a job interview at Rubicon Consulting
✨Know Your ML Stuff
Make sure you brush up on your machine learning algorithms and model evaluation techniques. Be ready to discuss your experience with end-to-end ML solutions and how you've tackled issues like data leakage and the bias/variance trade-off.
✨Show Off Your Coding Skills
Since Python and ML libraries are key for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, modular code and be familiar with version control using Git.
✨Cloud Knowledge is Key
Rubicon Consulting values hands-on experience with cloud platforms. Brush up on AWS, Azure, or GCP, and be ready to discuss your experience with MLOps practices like Docker and CI/CD. Highlight any projects where you've deployed and monitored ML models in production.
✨Communicate Clearly
Strong communication skills are essential, especially when working cross-functionally. Practice explaining complex concepts in simple terms, and be prepared to share examples of how you've collaborated with engineering and product teams in the past.