At a Glance
- Tasks: Join a cutting-edge R&D team to develop innovative AI solutions.
- Company: High-growth scale-up focused on national security innovation near Birmingham.
- Benefits: Competitive salary, hybrid working, extensive personal development, and private healthcare.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Experience in software or data engineering with a passion for AI/ML.
The predicted salary is between 70000 - 70000 £ per year.
A Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation, this Machine Learning Engineer will work within an R&D team collaborating with industry partners to turn ideas into production ready, market leading solutions. This role would suit a software engineer with a couple of years commercial experience within a broad range of technologies and a demonstrable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return, this Machine Learning Engineer can expect excellent career development and training opportunities within a market leading SME. Given the nature of the work, all successful candidates will need to be British citizens.
This Machine Learning Engineer should have most of the following key skills:
- A software or data engineering background
- Python, JavaScript, Typescript, Node.js etc.
- A real passion for bleeding edge generative AI and/or advanced machine learning technology
- 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 would be a plus
This Machine Learning Engineer will receive:
- Starting salary of up to £70,000 DoE
- Hybrid working (1 day a week in the office)
- Extensive personal development scheme
- 25 days holiday
- Generous pension scheme
- 10% Bonus
- Private healthcare
- Truly autonomous, collaborative culture with extensive growth potential
- Regular remuneration reviews
So if you are a Machine Learning Engineer who wants to join a market leading business with innovation at its core, please apply now to be considered.
Machine Learning Engineer in Birmingham employer: SF Partners Admin
Join a high-growth scale-up near Birmingham that is at the forefront of national security innovation, where as a Machine Learning Engineer, you will thrive in a truly collaborative and autonomous environment. With excellent career development opportunities, a generous benefits package including hybrid working, private healthcare, and a strong focus on personal growth, this company is dedicated to fostering innovation and supporting its employees in their professional journeys.
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 folks in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI or machine learning. This will give you an edge and demonstrate your passion for the field when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to Python, cloud services, and R&D teamwork. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 seeing candidates who are proactive about their job search. So, hit that apply button and let’s get you into a role where you can thrive!
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 highlights your experience with Python, machine learning, and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your passion for AI and ML!
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 background in software engineering makes you a great fit. We love seeing genuine enthusiasm for innovation.
Showcase Your Projects:If you've worked on any cool projects involving generative AI or machine learning, make sure to mention them! We’re keen to see your hands-on experience and how you’ve turned ideas into reality.
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. Don’t miss out!
How to prepare for a job interview at SF Partners Admin
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, JavaScript, and any frameworks like PyTorch or TensorFlow. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Show Your Passion for AI/ML
This role is all about innovation in generative AI and machine learning. Share your enthusiasm for the field by discussing recent advancements or projects that excite you. It’s a great way to demonstrate your commitment and curiosity.
✨Prepare for Collaborative Scenarios
Since the company values collaboration, think of examples where you've worked effectively in a team. Be ready to explain how you communicate complex ideas and contribute to group projects, especially in R&D settings.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's projects, culture, and future directions in AI. This shows you're genuinely interested and helps you gauge if the environment aligns with your career goals.
