Data Scientist / Engineer

Data Scientist / Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop cutting-edge NLP models and implement end-to-end ML solutions.
  • Company: Join a forward-thinking financial services firm in London with a strong culture and talented team.
  • Benefits: Enjoy competitive pay, great benefits, and the chance to make a real impact.
  • Why this job: Be part of innovative projects that leverage AI/ML to drive business growth and efficiency.
  • Qualifications: 4+ years in NLP, machine learning, Python; deep learning frameworks; AWS expertise.
  • Other info: Bonus for experience in search engine optimization and financial data.

The predicted salary is between 43200 - 72000 £ per year.

Data Scientist / Machine Learning Engineer – NLP Our leading financial services client based in London is seeking a first Data Scientist / NLP ML Engineer hire to join their crossfunctional engineering team to help them build out a number of impactful areas related to ML. Initially the requirement is building out from a POC that they have prototyped around document intelligence, and later to expand the nascent Data Science / ML function to explore uses for LLMs/chatbots, summarisation and others. You can have huge impact and really bring your experience to bear in this role at a forward-thinking organisation with great talent and culture. They pay extremely well and offer great benefits too. What you’ll do: Build Intelligent Systems: Develop state-of-the-art NLP models to extract crucial information from structured and unstructured text, and classify documents with precision, saving the firm huge time and effort. End to End ML: Implement end-to-end solutions, from data annotation to model deployment, ensuring systems are efficient, scalable, and accurate. Collaborate: Work alongside talented Strats, Engineers, Traders, and Operations experts to drive innovation and solve real-world challenges. Drive Business Impact: Identify opportunities to leverage AI/ML to streamline processes, improve decision-making, and unlock new growth avenues. What you’ll need: 4+ minimum years of hands-on experience in NLP, machine learning, and Python. This role suits someone who has seen DS/ML implemented in various places. Proficiency in deep learning / machine learning concepts & frameworks like TensorFlow, PyTorch, transformers, and others. Deep knowledge of AWS services, especially SageMaker. A drive to explore new techniques and push boundaries. The ability to articulate complex ideas to both technical and non-technical audiences and evangelise for data science / machine learning. Bonus points for: Experience with information retrieval, search engine optimization and searchable databases i.e. Elasticsearch A knack for embedding generation and similarity search. Understanding of financial data and regulations. Textract experience a plus Vertex Search are operating as a recruitment agency on this assignment.

Data Scientist / Engineer employer: Vertex Search

Join a forward-thinking financial services organization in London that values innovation and collaboration. As a Data Scientist / NLP ML Engineer, you'll have the opportunity to make a significant impact by developing cutting-edge NLP models and working alongside talented professionals in a supportive culture that fosters growth and creativity. With competitive compensation and excellent benefits, this role offers a unique chance to advance your career while contributing to meaningful projects in the rapidly evolving field of machine learning.
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Contact Detail:

Vertex Search Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist / Engineer

✨Tip Number 1

Make sure to showcase your hands-on experience with NLP and machine learning in your conversations. Highlight specific projects where you've implemented these technologies, especially if they relate to document intelligence or similar areas.

✨Tip Number 2

Familiarize yourself with the company's current projects and challenges. Being able to discuss how your skills can directly address their needs will set you apart from other candidates.

✨Tip Number 3

Network with professionals in the financial services sector, especially those who work with AI/ML. Engaging in discussions about industry trends can provide insights that you can leverage during interviews.

✨Tip Number 4

Prepare to explain complex technical concepts in simple terms. This role requires collaboration with non-technical teams, so demonstrating your ability to communicate effectively will be crucial.

We think you need these skills to ace Data Scientist / Engineer

NLP (Natural Language Processing)
Machine Learning
Python Programming
Deep Learning Frameworks (TensorFlow, PyTorch)
Transformers
AWS Services (especially SageMaker)
End-to-End ML Implementation
Data Annotation
Model Deployment
Collaboration Skills
Business Impact Analysis
Information Retrieval
Search Engine Optimization
Elasticsearch
Embedding Generation
Similarity Search
Financial Data Understanding
Regulatory Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in NLP, machine learning, and Python. Include specific projects or roles where you've implemented these skills, especially in financial services or similar industries.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, particularly your experience with end-to-end ML solutions and collaboration with cross-functional teams.

Showcase Relevant Projects: If you have worked on projects involving document intelligence, LLMs, or chatbots, be sure to mention them. Provide details about your contributions and the impact of these projects on previous employers.

Prepare for Technical Questions: Anticipate technical questions related to NLP, deep learning frameworks, and AWS services. Be ready to discuss your problem-solving approach and how you've leveraged AI/ML to drive business impact in past roles.

How to prepare for a job interview at Vertex Search

✨Showcase Your NLP Expertise

Be prepared to discuss your hands-on experience with NLP models. Highlight specific projects where you've developed or implemented state-of-the-art models, and be ready to explain the impact they had on the business.

✨Demonstrate End-to-End ML Knowledge

Since the role involves implementing end-to-end solutions, make sure you can articulate your understanding of the entire ML pipeline. Discuss your experience with data annotation, model training, and deployment processes.

✨Collaborative Mindset

This position requires collaboration with various teams. Share examples of how you've successfully worked with cross-functional teams in the past, emphasizing your ability to communicate complex ideas to both technical and non-technical stakeholders.

✨Stay Updated on AI/ML Trends

Show your passion for the field by discussing recent advancements in AI and ML, particularly in NLP. Mention any new techniques or frameworks you're eager to explore, and how they could benefit the organization.

Data Scientist / Engineer
Vertex Search
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  • Data Scientist / Engineer

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2026-12-27

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    Vertex Search

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