At a Glance
- Tasks: Design and deploy advanced deep learning models for global energy market challenges.
- Company: Join a leading Hedge Fund with a focus on innovation and collaboration.
- Benefits: Earn up to £150k, enjoy bonuses, private medical insurance, and exciting company retreats.
- Other info: Work in a supportive team with excellent career development opportunities.
- Why this job: Make a real impact on trading decisions using cutting-edge technology in a dynamic environment.
- Qualifications: Strong Python skills and experience with deep learning tools like TensorFlow Lattice.
The predicted salary is between 120000 - 150000 £ per year.
Do you have expertise with Deep Learning within commercial environments? You could be joining a specialist Hedge Fund and working on long term strategic projects which involve implementing quantitative statistical models that are used to forecast elements of demand and supply of energy for European markets.
What's in it for you:
- Up to £150k + bonus
- Private Medical Insurance
- Life Assurance
- Training and career development opportunities
- Employee Assistance Programme
- Company retreats such as Winter skiing trips and Summer weekends away
Your role:
As a Senior Deep Learning Engineer you will design, develop and deploy advanced deep learning models to tackle some of the most complex problems in global energy markets, applying cutting‑edge neural network and deep learning techniques across diverse and challenging data sets. You’ll combine deep technical expertise in neural networks and deep learning with practical experience delivering models end‑to‑end, from research to production, in a high‑performance environment. Your work will directly impact trading decisions, turning sophisticated models into actionable insights.
Location:
You’ll be working in a collegiate team environment based in North London with a small group of accomplished software/data engineers and finance entrepreneurs.
About you:
- You have an excellent academic record of achievement; 2.1 or above in a quantitative discipline at BSc, from a Russell Group university
- You have strong hands‑on experience building and shipping deep learning models in production, including ownership of end‑to‑end pipelines
- You have strong Python skills
- You have experience with deep learning tools such as TensorFlow Lattice (TFL), OptNet, DeepXDE
- You have a strong understanding of statistics and Machine Learning fundamentals
- You have experience of working with large, messy datasets
- You’re collaborative with great communication skills
At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.
Senior Deep Learning Engineer - Quant Trading employer: Client Server Ltd.
Join a leading Hedge Fund in North London as a Senior Deep Learning Engineer, where you'll be part of a dynamic and collaborative team dedicated to tackling complex challenges in the global energy markets. With a competitive salary of up to £150k plus bonuses, you will benefit from private medical insurance, life assurance, and exceptional training and career development opportunities, alongside unique company retreats that foster team bonding and personal growth. This is an excellent opportunity for those looking to make a significant impact in a high-performance environment while enjoying a supportive and inclusive workplace culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Deep Learning Engineer - Quant Trading
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, conferences, or even online webinars. The more people you know, the better your chances of landing that Senior Deep Learning Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your deep learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. Potential employers love to see what you've done with Python and TensorFlow!
✨Ace the Interview
Prepare for technical interviews by brushing up on your deep learning concepts and coding skills. Practice common interview questions and be ready to discuss your past projects in detail. Confidence is key!
✨Apply Through Our Website
Don't forget to apply directly through our website! It shows you're genuinely interested and gives you a better chance of being noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Deep Learning Engineer - Quant Trading
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your deep learning expertise and hands-on experience with tools like TensorFlow Lattice. We want to see how you've tackled complex problems in the past, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the specific requirements of the Senior Deep Learning Engineer role. Use keywords from the job description to show us you’re a perfect fit for our team.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences are easy to read and understand.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Client Server Ltd.
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning knowledge, especially around neural networks and tools like TensorFlow Lattice. Be ready to discuss your hands-on experience with building and deploying models, as well as any challenges you've faced with messy datasets.
✨Showcase Your End-to-End Experience
Prepare to talk about specific projects where you've taken models from research to production. Highlight your role in the end-to-end pipeline and how your contributions directly impacted outcomes. This will show that you understand the full lifecycle of model development.
✨Brush Up on Statistics and Machine Learning Fundamentals
Since the role involves quantitative statistical models, make sure you're comfortable discussing statistics and machine learning concepts. You might be asked to explain how these principles apply to energy market forecasting, so have some examples ready.
✨Be Ready for Collaborative Questions
Given the team-oriented environment, expect questions about collaboration and communication. Think of examples where you've worked effectively in a team, especially in high-pressure situations. This will demonstrate your ability to fit into their collegiate culture.
