At a Glance
- Tasks: Develop and train advanced deep learning models for AI trading platforms.
- Company: Predictiva, an innovative AI FinTech company transforming trading with machine learning.
- Benefits: Competitive salary, pension scheme, employee share options, and 28 days paid leave.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Join a vibrant team and work on cutting-edge AI technologies that redefine trading.
- Qualifications: BSc in AI, ML, or Computer Science; strong deep learning and API development skills.
The predicted salary is between 36000 - 60000 £ per year.
About the Role
Are you passionate about building AI systems that can think, learn, and trade autonomously? Predictiva is looking for a Deep Learning Engineer to join our award-winning team developing next-generation AI trading platforms. You’ll work on cutting-edge models, transform research into production systems, and help redefine how machine learning interacts with global financial markets.
Key Responsibilities
- Develop and train advanced deep learning models using Python and frameworks such as PyTorch or TensorFlow.
- Build and deploy APIs for AI models, preferably using FastAPI, and deploy them on cloud platforms (Azure, GCP, or AWS).
- Integrate model training pipelines with third-party tools for experiment tracking, visualization, and performance monitoring.
- Prepare and process data — including structured and unstructured time-series data — for use in ML models.
- Bridge the gap between research and production, translating machine learning ideas into real-world trading applications.
- Collaborate across teams, sharing knowledge and presenting insights to data scientists, software engineers, and financial experts.
About Predictiva
Predictiva is an AI FinTech company developing autonomous trading systems that leverage advanced machine learning to trade global financial markets. Our mission is to make cutting-edge AI trading technology accessible to professionals and institutions worldwide. Backed by a team of researchers and engineers, Predictiva’s platforms enable traders and asset managers to make faster, bias-free decisions through AI-powered portfolio optimization, market analysis, and adaptive trading algorithms.
What We Offer
- Competitive salary.
- Pension scheme.
- Employee share options through our equity pool.
- 28 days paid annual leave + UK bank holidays.
- Free unlimited personal access to our trading platforms.
- Access to powerful cloud-based compute resources.
- Company laptop and technical tools.
- The opportunity to work on state-of-the-art AI and FinTech technologies.
- A vibrant, collaborative environment of scientists, engineers, and financial innovators.
About You
We’re looking for someone who combines strong deep learning skills with creativity and curiosity.
Essential qualifications:
- BSc in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
- Strong understanding of deep learning algorithms, data structures, and software engineering principles.
- Experience building APIs (preferably FastAPI) and Python-based applications.
- Experience using ML frameworks (PyTorch, TensorFlow, etc.).
- Proficiency in handling complex datasets and time-series data.
- Ability to conduct independent research and clearly communicate findings.
Desirable qualifications:
- MSc or PhD in AI, ML, Computer Science, or a related field.
- Understanding of Reinforcement Learning algorithms.
- Experience with cloud services (AWS, Azure, GCP).
- Familiarity with tools such as Kafka, Kubernetes, Prometheus, and Grafana.
- Interest or prior experience in financial markets.
Why Join Us
At Predictiva, you’ll have the chance to work at the intersection of AI research, financial innovation, and scalable engineering. You’ll help build systems that learn from markets in real time — and you’ll do it alongside a team that values curiosity, excellence, and creative thinking.
Locations
Deep Learning Engineer in Edinburgh, Scotland employer: Predictiva
Predictiva is an exceptional employer for Deep Learning Engineers, offering a vibrant and collaborative work culture where innovation thrives. With competitive salaries, generous leave policies, and access to cutting-edge AI and FinTech technologies, employees are empowered to grow their skills while contributing to transformative projects in the financial sector. The company's commitment to employee development and its dynamic environment make it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Deep Learning Engineer in Edinburgh, Scotland
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those using Python, PyTorch, or TensorFlow. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts clearly, as you'll need to communicate effectively with both techies and finance folks. We recommend doing mock interviews to build confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team at Predictiva.
We think you need these skills to ace Deep Learning Engineer in Edinburgh, Scotland
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Deep Learning Engineer role. Highlight your experience with Python, deep learning frameworks like PyTorch or TensorFlow, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your passion for AI and finance. Share why you're excited about the role at Predictiva and how your background makes you a great fit for our team.
Showcase Your Projects:If you've worked on any cool projects involving deep learning or AI, make sure to mention them! We love seeing practical applications of your skills, especially if they relate to trading or financial markets.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team!
How to prepare for a job interview at Predictiva
✨Know Your Deep Learning Stuff
Make sure you brush up on your deep learning algorithms and frameworks like PyTorch and TensorFlow. Be ready to discuss specific projects you've worked on, especially those involving time-series data or API development. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles. Think of examples where you transformed research into production systems or integrated model training pipelines. This will demonstrate your ability to bridge the gap between theory and real-world applications, which is crucial for a role at Predictiva.
✨Get Familiar with Financial Markets
Even if you're primarily a techie, having a basic understanding of financial markets can set you apart. Brush up on key concepts and be ready to discuss how AI can impact trading decisions. This shows your interest in the field and aligns with Predictiva's mission.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team dynamics, the technologies they use, or their approach to AI in trading. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you.
