At a Glance
- Tasks: Develop and deploy AI systems for trading using cutting-edge ML techniques.
- Company: Exciting FinTech start-up focused on innovative AI solutions.
- Benefits: Up to £100k salary, bonus, and hybrid work model.
- Other info: Collaborate closely with founders and domain experts in a dynamic environment.
- Why this job: Join a small team and make a real impact in the AI-driven trading space.
- Qualifications: Experience with ML models, PyTorch, and data handling is essential.
The predicted salary is between 100000 - 100000 £ per year.
Applied AI/ML Engineer | Fin Tech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k + Bonus
I’m working with an exciting, early stage Fin Tech that is building AI systems for complex, data-intensive industries like commodity trading.
They’re looking for an Applied AI/ML Engineer who wants to work close to the founders and engineering team on a small team with significant ownership over how problems are solved.
This is not an AI wrapper or prompt engineering role.
They’re looking for someone who has genuinely worked with ML models which includes training, fine-tuning, evaluating and improving them and enjoys figuring out difficult problems in new domains.
- What you’ll be working on
- Developing and deploying LLM-powered systems using Py Torch
- Building and improvingembedding and reranking models
- Designing datasets and generating synthetic training data
- Working on semantic search and document intelligence systems
- Running experiments and building robust model evaluation frameworks
- Optimising models for real-world production use cases
- Working closely with domain experts to turn complex workflows into ML solutions
What we're looking for
You’ll ideally have hands on experience with several of the following
- Py Torch
- Transformer-based models such as BERT, Ro BERTa, Llama, etc.
- Lo RA / QLo RA / PEFT
- Semantic search / information retrieval
- Dataset construction, cleaning or synthetic data generation
- ML experimentation and evaluation
- Hugging Face / Transformers or similar tooling
- Production ML, containers and cloud infrastructure
You don't need to be a researcher who can train a transformer from scratch.
They're much more interested in someone who can take existing models, understand how they work, adapt them to a new problem and get them into production.
Please note that academic, research or R&D experience is absolutely relevant.
Experience with RAG is useful, but this isn't a role for someone whose experience is primarily connecting APIs together with Lang Chain or similar frameworks.
I am particularly interested in people who understand what is happening underneath the RAG stack, how embeddings are trained and evaluated, how retrieval works, how rerankers work, how training data is created and how models can be improved through experimentation.
If you've actually trained or fine-tuned models , rather than simply used them, I'd be very interested in speaking with you.
The role is 4 days a week hybrid in London and is paying up to the £100k + bonus mark on the top of the band.
Applied AI/ML Engineer | Fin Tech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k + Bonus
#J-18808-Ljbffr
Applied AI/ML Engineer | FinTech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k [...] employer: VirtueTech Recruitment Group
At VirtueTech Recruitment Group, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our team members enjoy flexible working arrangements, opportunities for professional growth, and the chance to make a significant impact through their work on large-scale applications. Located near Manchester, our office provides a vibrant environment where creativity thrives, making it an ideal place for passionate Mobile Engineers to advance their careers.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI/ML Engineer | FinTech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k [...]
✨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 VirtueTech Recruitment Group!
✨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 Applied AI/ML Engineer | FinTech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k [...] at VirtueTech Recruitment Group.
✨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 VirtueTech Recruitment Group.
✨Apply Directly through Our Website
When you find a suitable opening like Applied AI/ML Engineer | FinTech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k [...] at VirtueTech Recruitment Group, 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 Applied AI/ML Engineer | FinTech Start-Up in Trading | London Hybrid 4 days/week | Up to £100k [...]
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 VirtueTech Recruitment Group, 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 VirtueTech Recruitment Group. 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 VirtueTech Recruitment Group
✨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 VirtueTech Recruitment Group!
✨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.
