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- Tasks: Build and refine machine learning models for content extraction in a global investment bank.
- Company: Albany Beck, a consultancy passionate about your learning and career growth.
- Benefits: Meaningful career opportunities and commitment to personal development.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technologies.
- Qualifications: Experience in Document AI, Python, and machine learning frameworks.
- Other info: Collaborative environment with opportunities for innovation and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
About Albany Beck
Albany Beck are a Management Consultancy focused on providing specialist talent and transformative solutions to Financial Services clients. We combine subject matter expertise with innovative delivery models that help clients scale efficiently, while offering meaningful, long-term career opportunities to our people. At Albany Beck, you’ll be choosing to work with an organisation that’s passionate about your learning journey and committed to your professional career and personal development.
Albany Beck are hiring a Machine Learning Developer to support an Onboarding project within a global investment bank.
Key Responsibilities
- Build production-ready machine learning models for content extraction and classification across image and text-based sources.
- Work closely with business stakeholders to understand requirements and iteratively design, develop and refine solutions.
- Collaborate with product managers, engineers and other technical teams across the value stream.
- Create, test and iterate new and existing products and features.
- Design and develop Python-based ML, OCR and Document AI components.
- Support the full product lifecycle, including development, deployment, testing and ongoing production support.
Essential Skills & Experience
- Strong experience in Document AI / Intelligent Document Processing using both traditional techniques and Generative AI with a focus on open-source models to deliver real business outcomes.
- Proven experience delivering Python-based solutions to production, with exposure to machine learning, deep learning, NLP, generative AI, image processing and OCR.
- Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face, SpaCy, OpenCV, Regex or equivalent technologies.
- Experience delivering secure, resilient production code with a strong focus on cybersecurity and API robustness.
Nice to Have
- Experience using PostgreSQL for data storage and management.
- Familiarity with Azure core services, including Azure Virtual Machines, and experience with Azure CLI, Azure Kubernetes Service (AKS) and/or Azure DevOps.
- Experience working in teams that release to production at high cadence using modern engineering practices.
Machine Learning Engineer employer: Albany Beck
Contact Detail:
Albany Beck Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 machine learning projects, especially those involving Document AI and Python. 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 problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and approach problems!
✨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
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 match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our mission at Albany Beck. Let us know what excites you about this opportunity!
Showcase Your Projects: If you've worked on any cool projects related to machine learning, make sure to mention them! Whether it's a personal project or something from a previous job, we love seeing practical applications of your skills.
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 – just follow the prompts!
How to prepare for a job interview at Albany Beck
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TensorFlow, and any relevant frameworks. Brush up on your knowledge of Document AI and Generative AI, as these are key to the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've built machine learning models or solved complex problems. Be ready to explain your thought process and how you collaborated with stakeholders to refine solutions.
✨Understand the Business Context
Research Albany Beck and their clients in the financial services sector. Understanding their business model and how your role as a Machine Learning Engineer fits into their goals will help you stand out during the interview.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of machine learning concepts, coding skills, and problem-solving abilities. Practise coding challenges and be prepared to explain your code and decisions clearly.
