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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 AI Engineering with strong capital markets experience required.
- Other info: Great opportunity for career progression and enhancing your CV with impactful projects.
The predicted salary is between 48000 - 84000 £ 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.
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 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 in England
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone working in AI or finance. Building relationships can lead to job opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your AI projects or contributions to open-source initiatives. This gives potential employers a tangible look at what you can do, especially in high-frequency environments.
✨Tailor Your Approach
When reaching out to companies, make sure to tailor your message to each one. Highlight how your skills in AI and capital markets align with their needs. Personalisation shows you’re genuinely interested and have done your homework!
✨Apply Through Our Website
We’ve got some fantastic roles listed on our website, so don’t miss out! Applying directly through us not only streamlines the process but also keeps you in the loop for any updates or new opportunities that pop up.
We think you need these skills to ace Tech / AI Specialist in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in AI and capital markets. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in financial services and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills: Be specific about your technical expertise in your application. Mention the programming languages and tools you’re proficient in, especially those listed in the job description. We’re keen to see your hands-on experience with AI/ML solutions!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
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 machine learning concepts and deployment strategies. Practice explaining complex ideas simply, as you may need to communicate with non-technical stakeholders in a fast-paced environment.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company’s current AI projects or their approach to integrating new technologies. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
