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: Up to £70,000 salary, hybrid working, extensive personal development, and private healthcare.
- Other info: Enjoy 25 days holiday, generous pension, and regular remuneration reviews.
- Why this job: Be at the forefront of AI technology and make a real impact in a collaborative environment.
- 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 Gloucester employer: SF Technology Partners
Join a high-growth scale-up near Birmingham, where innovation in national security meets cutting-edge technology. As a Machine Learning Engineer, you'll thrive in a collaborative and autonomous environment, with access to extensive personal development opportunities, hybrid working arrangements, and a generous benefits package including a competitive salary, bonus, and private healthcare. This is an exceptional opportunity for those passionate about AI and ML to contribute to market-leading solutions while enjoying a supportive work culture that prioritises employee growth.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Gloucester
✨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 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 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 machine learning and be ready to discuss your past experiences in R&D or collaborative projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented 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 Gloucester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, machine learning technologies, 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 and collaboration.
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, especially in R&D settings.
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at SF Technology 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.
✨Show Your Passion for AI/ML
This role is all about innovation in generative AI and machine learning. Share specific projects or experiences that highlight your enthusiasm and understanding of these technologies. The more genuine your passion comes across, the better!
✨Prepare for Collaborative Scenarios
Since the company values a collaborative environment, think of examples where you've successfully worked in teams, especially in R&D settings. Be ready to discuss how you contribute to team dynamics and problem-solving.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the company's current projects in national security innovation or their approach to personal development. This shows your interest and helps you gauge if the company is the right fit for you.
