At a Glance
- Tasks: Design and deliver enterprise-scale AI solutions that drive real business value.
- Company: Join a forward-thinking tech company shaping the future of AI in London.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a hybrid work environment.
- Why this job: Make an impact with cutting-edge AI technologies and collaborate with diverse teams.
- Qualifications: Degree in Computer Science or related field; hands-on experience with Generative AI required.
The predicted salary is between 63000 - 77000 £ per year.
In this role you will design and deliver enterprise-scale AI solutions, combining Generative AI, Agentic AI and RAG to drive measurable business value. You will collaborate with cross-functional teams to deploy production-ready AI capabilities and integrate with data platforms and cloud services. The position emphasizes practical implementation, governance and observability to scale AI across the organization. This is an impact-driven opportunity to shape enterprise AI capabilities in a hybrid London setting.
Pay / Benefits
- Design, build and deploy Generative AI and Agentic AI solutions from prototype to production
- Develop and optimize RAG pipelines including embeddings, hybrid search, prompt engineering and evaluation frameworks
- Implement AI agents using LangChain, LangGraph and AutoGen, integrating tools and enterprise workflows
- Apply modern AI engineering practices, ensuring reproducibility and production readiness in dynamic environments
- Integrate solutions with enterprise data platforms and cloud services, focusing on scalability and governance standards
- Leverage tools like Databricks, MLflow and Azure OpenAI for experimentation and deployment
- Apply DevOps best practices across CI/CD workflows, containerization and automated testing for robust delivery
- Design and maintain observability and monitoring solutions for AI systems using tools such as Langfuse or Arize
- Partner with stakeholders to align technical execution with business outcomes and provide technical guidance during architecture discussions
- Support team knowledge sharing and mentor engineers on AI best practices and delivery standards
Key requirements
- Bachelor's or Master's degree in Computer Science, Engineering or related field; PhD is a plus
- Proven hands-on experience with Generative AI frameworks, LLMs and agentic architectures
- Strong practical knowledge of Databricks ecosystem including Delta Lake, Delta Live Tables and governance features
- Proficiency in Python and working familiarity with SQL or Scala
- Experience implementing RAG architectures and streaming solutions for AI pipelines
- Deployment expertise on Azure or multi-cloud environments and familiarity with containerization tools such as Docker
- Knowledge of AI observability and evaluation solutions for monitoring and performance tuning
- Strong understanding of MLOps, CI/CD practices and infrastructure automation in AI engineering contexts
- Demonstrated ability to lead small teams and communicate effectively across technical and non-technical stakeholder groups
- Experience managing end-to-end delivery from experimentation through production deployment in enterprise contexts
AI Engineer - Data specialist in London employer: EPAM Systems, Inc.
EPAM Systems, Inc. is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the flexibility of a hybrid working model in the vibrant city of London. With a strong focus on professional development, team members are encouraged to grow their skills and advance their careers while contributing to impactful digital transformation projects in the energy sector. Joining EPAM means being part of a forward-thinking company that values innovation and collaboration, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - Data specialist in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at EPAM Systems, Inc. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to EPAM Systems, Inc..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like EPAM Systems, Inc..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like EPAM Systems, Inc. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Engineer - Data specialist in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at EPAM Systems, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at EPAM Systems, Inc. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at EPAM Systems, Inc.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If EPAM Systems, Inc. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
