At a Glance
- Tasks: Design and deploy AI solutions for real client projects using cutting-edge technologies.
- Company: Fast-growing tech consultancy with a focus on innovation and collaboration.
- Benefits: Competitive salary, hybrid work options, and opportunities for professional growth.
- Other info: Flexible work environment with a strong emphasis on career development.
- Why this job: Join a dynamic team and make an impact in the exciting field of AI and machine learning.
- Qualifications: Experience in AI/ML, Python, and working with large datasets.
The predicted salary is between 64000 - 96000 £ per year.
A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions.
Key Responsibilities:
- Design, build and deploy machine learning and AI solutions for enterprise clients
- Develop models using Python, PyTorch and modern ML frameworks
- Work with large datasets to train, evaluate and optimise models
- Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.)
- Contribute to generative AI initiatives using Hugging Face and open-source models
- Collaborate with data engineers, architects and stakeholders to deliver production systems
Required Skills:
AI Engineer employer: 167 Solutions
Join a leading consultancy that champions innovation and digital transformation, offering a dynamic work culture where collaboration and creativity thrive. With competitive salaries and a commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on impactful projects with enterprise clients across the UK and Europe. Experience the unique advantage of being part of a forward-thinking team dedicated to shaping the future of technology in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space on LinkedIn or at industry events. You never know who might have a lead on that perfect job for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, PyTorch, and AWS. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common machine learning scenarios and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, PyTorch, and any cloud solutions you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include specific projects where you've designed or deployed machine learning solutions. If you've worked with generative AI or large datasets, let us know! Real examples help us understand your hands-on experience.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at 167 Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and the latest ML frameworks. Brush up on your knowledge of AWS services like SageMaker and Lambda, as these are crucial for the role. Being able to discuss your past projects and how you’ve used these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical thinking and ability to deliver solutions under pressure.
✨Stay Current with Generative AI Trends
Familiarise yourself with the latest advancements in generative AI and open-source models, especially those related to Hugging Face. Being able to talk about recent developments or projects in this area will show your passion and commitment to the field.
✨Collaborate and Communicate
Since the role involves working closely with data engineers and stakeholders, be prepared to discuss your collaboration experiences. Highlight any instances where you successfully worked in a team to deliver a project, as strong communication skills are key in this position.
