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 work, 25 days holiday, and private healthcare.
- Other info: Collaborative culture with excellent career development 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 Newport employer: SF Technology Partners
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, extensive personal development schemes, and a culture that fosters innovation, this is an ideal place for passionate individuals eager to make a meaningful impact in the field of AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Newport
✨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 gives potential employers a taste of what you can do and sets 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 R&D or collaborative projects.
✨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!
We think you need these skills to ace Machine Learning Engineer in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, machine learning, and any relevant technologies like PyTorch or TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing your passion for AI!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about the role and how your background in software engineering makes you a great fit. We love hearing about your innovative ideas and experiences in R&D.
Showcase Your Projects:If you've worked on any cool projects related to generative AI or machine learning, make sure to mention them! We’re keen to see how you’ve turned ideas into production-ready solutions, so include links or descriptions of your work.
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 for these technologies. Discuss any personal projects or research you've done that showcases your commitment to staying at the forefront of the field.
✨Prepare for Collaborative Scenarios
Since the role involves working within an R&D team, think of examples where you've successfully collaborated with others. Be ready to talk about how you handle feedback, share ideas, and contribute to a team environment. This will show that you're a great fit for their collaborative culture.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, their approach to innovation, and how they support career development. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
