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.
- Other info: Great opportunity for career progression and enhancing your CV with impactful projects.
- 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.
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
Join a leading global financial services institution in the UK, where you will have the opportunity to work on transformative AI projects that shape the future of capital markets. With a hybrid work model and a culture that prioritises innovation and collaboration, you will benefit from exposure to cutting-edge technologies while enjoying ample opportunities for professional growth and career progression. This is an excellent environment for tech enthusiasts looking to make a meaningful impact in a fast-paced industry.
StudySmarter Expert Advice🤫
We think this is how you could land Tech / AI Specialist in England
✨Tap into Campus Networks
If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.
✨Get Certified
Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.
✨Connect on Professional Platforms
Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
✨Apply Directly and Be Proactive
Don’t shy away from reaching out directly to firms like Caspian One. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.
We think you need these skills to ace Tech / AI Specialist in England
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Caspian One.
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Caspian One's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Caspian One
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Caspian One.
✨Prepare for Case Studies
Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Caspian One will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Caspian One employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
