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 Worcester 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 Worcester
✨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 Worcester
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, make sure to highlight your enthusiasm for generative AI and machine learning. We want to see that you’re not just skilled, but genuinely excited about the technology and its potential!
Tailor Your Experience:Don’t just list your skills; connect them to the job description! We’re looking for a software engineer with experience in Python, JavaScript, and cloud services. Make it clear how your background aligns with what we need.
Communicate Clearly:Strong communication skills are key for us. Use your application to demonstrate your ability to convey complex ideas simply. This will show us you can collaborate effectively within our R&D team.
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 don’t miss out on any important updates from us!
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. 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 research you've done in this area. This will help demonstrate that you're genuinely interested in the field and not just looking for a job.
✨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 past projects. Think of examples where you contributed to a team effort, especially in a technical setting. This will highlight your ability to work autonomously while still being a team player.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s current projects in national security innovation or their approach to AI/ML development. This shows that you’re engaged and interested in how you can contribute to their goals.
