Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deploy AI solutions for trading and risk management in capital markets.
- Company: Join leading global financial services institutions in the UK.
- Benefits: Hybrid work options, competitive contracts, and immediate start dates available.
- Why this job: Make a real impact with cutting-edge AI technologies in a fast-paced environment.
- Qualifications: 4+ years in Software/AI Engineering with strong capital markets experience.
- Other info: Great opportunity for career progression and enhancing your CV.
The predicted salary is between 36000 - 60000 £ per year.
As we move into 2026, we have multiple opportunities with leading global financial services institutions based in the UK. These roles offer more exposure to cutting-edge technologies and projects within fast-paced environments in capital markets. Ideal for professionals seeking impactful work and career progression. We are looking for strong AI Engineers with front-office experience working for investment banks, hedge funds and fintechs.
Position Details
- Location: UK-based (Typically London & Glasgow)
- Right To Work: Must be eligible to work in the UK without requiring sponsorship
- Engagement: B2B 6–12-month rolling contracts
- Work Model: Hybrid and fully remote options available
- Start Date: Immediate and throughout 2026
Key Responsibilities
- Design, develop, and deploy AI/GenAI solutions for trading, risk management, and analytics within capital markets.
- Collaborate with front-office teams to integrate AI-driven models into production systems.
- Work alongside data engineers and platform engineering teams to enhance front-office performance.
- Optimise performance and scalability of AI applications in high-frequency environments, ensuring compliance with regulatory and security standards.
Required Experience
- Minimum: 4+ years in Software Engineering / AI Engineering roles.
- Domain Expertise: Strong experience in capital markets, front-office systems, or financial services (essential).
- Proven track record of delivering AI/ML solutions in production environments, or demonstrable experience building AI tools inside or outside of work setting.
- Education: Relevant Software Engineering / Computer Science degree.
Technical Skills
- Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript.
- Machine Learning: TensorFlow, PyTorch, Scikit-learn.
- GenAI / LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines.
- Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake.
- Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes.
- Cloud & Infrastructure: AWS, Azure, GCP.
- CI/CD pipelines (GitLab, Jenkins).
Desirable Skills
- Experience with prompt engineering, fine-tuning LLMs, and building RAG-based solutions.
- Knowledge of financial instruments, pricing models, and risk analytics.
- Familiarity with MLOps and data governance in regulated environments.
Why Apply?
- Work with major financial institutions on transformative AI projects.
- Exposure to the latest AI/GenAI technologies and frameworks.
- Enhance your CV with high-impact, front-office projects.
Tech / AI Specialist Tech / AI Specialist in England employer: Caspian One
Contact Detail:
Caspian One Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech / AI Specialist Tech / AI Specialist in England
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone working in AI or finance. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects or contributions to open-source initiatives. This is your chance to demonstrate your expertise in Python, TensorFlow, or any other tech you've mastered. A strong portfolio can make you stand out in a competitive market!
✨Ace the Interview
Prepare for technical interviews by brushing up on your coding skills and understanding of AI concepts. Practice common interview questions and be ready to discuss your past projects in detail. Confidence and clarity can really set you apart from other candidates.
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also connects you with companies looking for top talent like you. Let’s get you that dream job in AI!
We think you need these skills to ace Tech / AI Specialist Tech / AI Specialist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your front-office experience and any AI/ML projects you've worked on, especially in capital markets.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the role. Be specific about your achievements and how they relate to the responsibilities listed in the job description.
Showcase Your Technical Skills: List out your technical skills clearly, especially those mentioned in the job description like Python, TensorFlow, or AWS. We want to see your proficiency in these areas, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Caspian One
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages and tools mentioned in the job description, like Python, TensorFlow, and AWS. Brush up on your knowledge of AI/GenAI solutions and be ready to discuss how you've applied these technologies in real-world scenarios.
✨Showcase Your Front-Office Experience
Since the role requires strong front-office experience, prepare specific examples from your past roles where you collaborated with trading or risk management teams. Highlight any projects where your AI solutions made a tangible impact on performance or compliance.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of AI models and deployment strategies. Practice explaining complex concepts in simple terms, as you may need to communicate with non-technical stakeholders. Consider mock interviews to sharpen your responses.
✨Demonstrate Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios related to capital markets and AI applications. Think about how you would optimise performance in high-frequency environments or ensure compliance with regulations. Show your analytical thinking and creativity in problem-solving.
