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 Shrewsbury 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 Shrewsbury
✨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. Keep an eye on our listings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Machine Learning Engineer in Shrewsbury
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, JavaScript, and any machine learning frameworks 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 and ML!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about working in R&D and how your background makes you a great fit for our team. Keep it conversational but professional – we love a bit of personality!
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in generative AI or advanced ML.
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 innovative 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 sharing your enthusiasm for AI and ML. Prepare examples of how you've engaged with new technologies or contributed to innovative projects in the past. This will demonstrate your genuine interest and fit for the company’s culture.
✨Prepare for Collaborative Scenarios
Since the role involves working within a collaborative R&D team, think of examples that showcase your teamwork skills. Be ready to discuss how you’ve successfully collaborated with others, tackled challenges together, or contributed to a project’s success in a team setting.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company’s projects, culture, and future direction in AI. This not only shows your interest but also helps you gauge if this is the right environment for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
