At a Glance
- Tasks: Collaborate on cutting-edge AI projects and turn ideas into market-ready solutions.
- Company: High-growth scale-up in Birmingham focused on national security innovation.
- Benefits: Up to £70,000 salary, hybrid work, 25 days holiday, and private healthcare.
- Other info: Enjoy extensive personal development and regular remuneration reviews.
- Why this job: Join a dynamic team and work with the latest in generative AI and machine learning.
- Qualifications: Experience in software or data engineering, with a passion for advanced machine learning.
The predicted salary is between 70000 - 70000 £ per year.
The rewards:
- Starting salary of up to £70,000 depending on experience
- Hybrid working (1 day a week in the office)
- Extensive personal development scheme
- 25 days holiday
- Generous pension scheme
- 10% bonus
- Private healthcare
- Regular remuneration reviews
The role of Machine Learning Engineer:
- Working within a R&D team, collaborating with industry partners to turn ideas into production-ready, market-leading solutions
- End-to-end project exposure in a truly collaborative, autonomous working environment
The ideal Machine Learning Engineer:
- Software or data engineering background — Python, JavaScript, TypeScript, Node.js etc.
- A real passion for bleeding edge generative AI and/or advanced machine learning — PyTorch, TensorFlow, LlamaCPP, Keras etc.
- Varied database exposure — PostgreSQL, MongoDB, CosmosDB
- Cloud services exposure — AWS preferred but all considered
- Very strong communication skills
- Experience working in R&D or small technical teams (a plus)
- Must be a British citizen
This role is with a high-growth scale up based near Birmingham, working at the forefront of national security innovation. Given the nature of the work, all successful candidates will need to be British citizens.
Machine Learning Engineer in Birmingham employer: SF-Partner Hiredonline
As a high-growth scale-up located near Birmingham, we offer an exceptional work environment for Machine Learning Engineers, characterised by a collaborative culture and a commitment to innovation in national security. Our employees benefit from a generous salary package, extensive personal development opportunities, and a hybrid working model that promotes work-life balance, making us an attractive employer for those seeking meaningful and rewarding careers in cutting-edge technology.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Birmingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, TensorFlow, or any cool AI stuff you've worked on. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning and be ready to discuss your past experiences in R&D teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Machine Learning Engineer in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, JavaScript, and any relevant projects you've worked on. We want to see how your skills align with our needs!
Show Your Passion:In your cover letter, let us know about your passion for generative AI and advanced machine learning. Share any personal projects or experiences that showcase your enthusiasm and expertise in these areas.
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate straightforward communication!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at SF-Partner Hiredonline
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and AWS. Brush up on your knowledge of these tools and be ready to discuss how you've used them in past projects.
✨Show Your Passion for AI
Demonstrate your enthusiasm for generative AI and advanced machine learning. Share any personal projects or research you've done in this area to show that you're not just a candidate, but someone who genuinely loves the field.
✨Prepare for Collaborative Scenarios
Since the role involves working in R&D teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you handle feedback and contribute to team success, as this will highlight your strong communication skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future direction in national security innovation. This shows your interest in the role and helps you gauge if the company aligns with your career goals.
