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- Tasks: Design and develop machine learning models to solve real-world business challenges.
- Company: Join an award-winning AI and Big Data company leading innovation globally.
- Benefits: Impactful work, upskilling opportunities, and collaboration with talented colleagues.
- Why this job: Be part of a trailblazing team shaping the future of AI and cloud technology.
- Qualifications: 5+ years in data analysis or data science; degree in a quantitative field required.
- Other info: Work with Fortune 500 companies and immerse in cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.
We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success.
Key Responsibilities:- Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data.
- Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM.
- Build robust data preprocessing pipelines and scalable workflows for model training and inference.
- Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight.
- Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection.
- Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions.
- Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows.
- Document model development, deployment decisions, and agentic AI design choices.
- Contribute to best practices in ML lifecycle management and agentic system governance.
- Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- 5 years of progressive experience in data analysis, business intelligence, or data science roles.
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Senior Machine Learning Engineer in Birmingham employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Quantiphi on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your past experiences. Practice common ML interview questions and think about how you can apply your skills to Quantiphi's projects.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the team at Quantiphi.
We think you need these skills to ace Senior Machine Learning Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with machine learning models, data engineering, and any relevant projects that showcase your skills. We want to see how you can make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and ML, and how your background aligns with our mission at Quantiphi. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any interesting machine learning projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical applications of your skills and creativity.
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 the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Quantiphi
✨Know Your ML Models Inside Out
Make sure you can discuss classical machine learning models like regression, decision trees, and gradient boosting in detail. Be prepared to explain how you've used these models in past projects, including the challenges you faced and how you overcame them.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with data engineers, software developers, and product owners. Highlight any specific projects where teamwork led to successful outcomes.
✨Demonstrate Your Business Acumen
Quantiphi is looking for someone who can translate analytical insights into business solutions. Prepare to discuss how your work has impacted customer retention or business success in previous roles, and think about how you can apply that experience to their needs.
✨Familiarise Yourself with Their Tech Stack
Research Quantiphi's use of tools like scikit-learn, XGBoost, and GCP services. If you have experience with these technologies, be ready to discuss it. If not, show your willingness to learn and adapt by mentioning similar tools you've worked with.
