At a Glance
- Tasks: Build and deploy cutting-edge machine learning models for content extraction and classification.
- Company: Join a global leader in IT recruitment with a focus on innovation.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cybersecurity and application resilience.
- Why this job: Make an impact by developing solutions that drive real business outcomes using advanced AI technologies.
- Qualifications: Strong experience in Document AI, Python, and machine learning frameworks required.
The predicted salary is between 36000 - 60000 £ per year.
Building production ready models to drive content extraction and classification from images and text based sources. Working closely with business teams to understand requirements and iteratively design and develop solutions. Collaborative with product managers and technical teams to create, test, and iterate new and existing products and features. Designing and building Python ML OCR based components, supporting the development of the product and the full lifecycle including deployment, testing, and production support of the application.
Required experience
- Strong experience in Document AI and intelligent document processing using traditional models and Generative AI, particularly in using open source models for achieving business outcomes.
- Experience delivering to production in Python with a focus on machine learning, deep learning, natural language processing, generative AI, image processing, and OCR.
- Experience with some of the following frameworks: TensorFlow, Pytorch, Hugging Face, Spacy, OpenCV, Regex or equivalents.
- Experience delivering safe code to production focusing on cybersecurity and resilience of the application and APIs.
Nice to Have
- Experience using PostgreSQL for data storage and management.
- Proficiency with Azure's core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS), and Azure DevOps.
- Experience delivering in teams releasing at a high cadence to production.
Skills
- Mandatory Skills: GenAI - LLMOps
- Good to Have Skills: RPA - Microsoft Power Automate, Machine Learning - AIOPS, Deep Learning - AIOPS, Reinforcement Learning - AIOPS
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Machine Learning Engineer in Sheffield employer: Thrive IT Systems
As a Machine Learning Engineer at our innovative IT services firm, you will thrive in a dynamic and collaborative work culture that prioritises employee growth and development. With access to cutting-edge technologies and a commitment to fostering creativity, we offer a unique opportunity to contribute to impactful projects while enjoying a supportive environment that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in Sheffield
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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 Document AI and Generative AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail, especially those involving Python and machine learning frameworks.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Machine Learning Engineer in Sheffield
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Document AI, Python, and any relevant frameworks like TensorFlow or PyTorch. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific projects where you've built production-ready models or worked on intelligent document processing. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. Explain why you're a great fit for the role and how you can contribute to our team. We appreciate straightforward communication!
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 Thrive IT Systems
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TensorFlow, and Generative AI. Brush up on your knowledge of document processing and OCR techniques, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific projects where you've built production-ready models or solved complex problems. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions clearly.
✨Understand the Business Context
Since the role involves working closely with business teams, demonstrate your understanding of how machine learning can drive business outcomes. Be ready to discuss how your previous work has aligned with business goals and improved processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project timelines, and the company’s approach to innovation. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
