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, 25 days holiday, and private healthcare.
- Other info: Collaborative culture with excellent career development and 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 Cheltenham employer: SF Technology Partners
Join a high-growth scale-up near Birmingham, where innovation in national security meets a truly collaborative and autonomous work culture. As a Machine Learning Engineer, you'll benefit from extensive personal development opportunities, a generous pension scheme, and a competitive salary, all while working on cutting-edge generative AI projects that make a real impact. With hybrid working options and regular remuneration reviews, this is an excellent opportunity for those passionate about AI and looking to grow their careers in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Cheltenham
✨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 related to machine learning and be ready to discuss your past experiences in detail. 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 the attention it deserves.
We think you need these skills to ace Machine Learning Engineer in Cheltenham
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’re well-versed in the technologies mentioned in the job description, like Python, PyTorch, and AWS. Brush up on your knowledge of generative AI and machine learning frameworks, as you might be asked to discuss specific projects or challenges you've faced using these tools.
✨Show Your Passion for Innovation
This role is all about cutting-edge technology, so don’t hold back on expressing your enthusiasm for AI and ML. Share examples of how you've engaged with new technologies or contributed to innovative projects, whether in a professional setting or through personal projects.
✨Prepare for Collaborative Scenarios
Since the company values collaboration, think of examples where you’ve successfully worked in teams, especially in R&D settings. Be ready to discuss how you communicate complex ideas clearly and how you handle feedback from peers.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions prepared that show your interest in the company’s projects and culture. Inquire about their current R&D initiatives or how they foster innovation within the team. This not only shows your enthusiasm but also helps you gauge if the environment is right for you.
