At a Glance
- Tasks: Join a cutting-edge R&D team to innovate in national security with AI and ML.
- Company: High-growth scale-up near Birmingham focused on generative AI solutions.
- Benefits: Starting salary of £70,000, hybrid work, 25 days holiday, and private healthcare.
- Other info: Excellent career development opportunities and regular remuneration reviews.
- Why this job: Make a real impact in AI while enjoying a collaborative and autonomous work culture.
- Qualifications: Experience in software or data engineering, with a passion for AI/ML technologies.
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
Join a high-growth scale-up in 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 regular remuneration reviews, this company is dedicated to fostering your growth while you work on cutting-edge AI and machine learning technologies.
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 people on LinkedIn. 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 generative AI or machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with Python, PyTorch, and any relevant technologies. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate Machine Learning Engineers. Plus, it’s a great way to ensure your application gets seen by the right people.
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, JavaScript, and any relevant machine learning technologies. 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! Tell us why you’re excited about this role and how your background in R&D or software engineering makes you a great fit. Keep it conversational but professional – we love a bit of personality!
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, so include links or descriptions that demonstrate your skills in action.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re genuinely interested in joining our team at StudySmarter!
How to prepare for a job interview at SF Partners
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, JavaScript, and any other relevant technologies mentioned in the job description. Be ready to discuss your experience with frameworks like PyTorch and TensorFlow, as well as your exposure to databases and cloud services. This will show that you're not just familiar with the tools, but that you can use them effectively.
✨Show Your Passion for AI/ML
During the interview, express your enthusiasm for generative AI and advanced machine learning technologies. Share any personal projects or experiences that highlight your passion and innovation in this field. This will help you stand out as a candidate who is genuinely excited about the work you'll be doing.
✨Prepare for Collaborative Scenarios
Since the role involves working within an R&D team, be prepared to discuss how you've collaborated with others in the past. Think of examples where you contributed to a team project or worked autonomously while still being part of a group. This will demonstrate your ability to thrive in a collaborative environment.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects in national security innovation or how they foster a culture of collaboration. This not only shows your engagement but also helps you determine if the company is the right fit for you.
