At a Glance
- Tasks: Build and refine machine learning models for a global investment bank's onboarding project.
- Company: Join Albany Beck, a consultancy passionate about your growth in financial services.
- Benefits: Hybrid remote work, professional development, and meaningful career opportunities.
- Other info: Collaborative culture with a focus on innovation and career advancement.
- Why this job: Make an impact with cutting-edge AI technology in a supportive environment.
- Qualifications: Experience in Python, machine learning, and document processing is essential.
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 - Hybrid Remote employer: Albany Beck
At Albany Beck, we pride ourselves on being an exceptional employer that champions your professional growth and personal development. Our hybrid remote work model fosters a flexible and collaborative environment, allowing you to engage with cutting-edge technologies while working alongside industry experts in the financial services sector. Join us to be part of a culture that values innovation, continuous learning, and meaningful contributions to transformative projects.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Hybrid Remote
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Albany Beck!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Machine Learning Engineer - Hybrid Remote at Albany Beck.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Albany Beck.
✨Apply Directly through Our Website
When you find a suitable opening like Machine Learning Engineer - Hybrid Remote at Albany Beck, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Machine Learning Engineer - Hybrid Remote
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Albany Beck, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Albany Beck. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Albany Beck
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Albany Beck!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.