AI Applications Engineer in London

AI Applications Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop AI applications and tools that transform data into insights for various industries.
  • Company: Join a leading consulting firm with a focus on innovation and collaboration.
  • Benefits: Flexible remote or hybrid work, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic team environment with a commitment to diversity and inclusion.
  • Why this job: Be at the forefront of AI technology and make a real impact in diverse fields.
  • Qualifications: 3-6 years in software engineering, strong Python skills, and experience with AI tools.

The predicted salary is between 60000 - 80000 £ per year.

BRG’s AI Department is seeking an AI Engineer to contribute to the development of our Virtual AI Lab initiative. Following the successful completion of Phase 01 (physical AI Lab build-out), this role will focus on creating a virtual access layer that makes our high-performance AI Lab remotely accessible to teams across BRG. The ideal candidate will design and implement scalable infrastructure to support processing 100,000+ documents daily using state-of-the-art LLMs from OpenAI and Anthropic.

About The Role

AI Applications Engineers build the AI-powered tools used directly by BRG consultants. These tools analyze large datasets and help generate insights across litigation, investigations, healthcare analytics, and corporate finance engagements.

Key Responsibilities

  • Develop AI applications using LLM pipelines
  • Implement RAG architectures and reasoning workflows
  • Build APIs and backend services
  • Develop systems capable of processing large document collections
  • Translate consulting workflows into scalable AI tools

Qualifications

  • 3–6 years software engineering experience
  • Strong Python development skills
  • Experience building APIs and data pipelines
  • Experience with LLM frameworks or AI tooling
  • Familiarity with distributed systems concepts
  • Basic understanding of cloud platforms
  • Understanding of APIs and data pipelines
  • Excellent English skills both verbal and written
  • Experience working in highly collaborative teams

BRG combines world-leading academic credentials with world-tested business expertise and purpose-built emerging technologies. Our culture centers on agility and connectivity which sets us apart and gets you ahead. At BRG, our professionals include specialist consultants, industry experts, renowned academics, and leading-edge data scientists. Together, they bring a diversity of real-world experience, data, and human and artificial intelligence, to economics, disputes, and investigations; corporate finance; and performance improvement services that address the most complex challenges facing organizations across the globe. Our unique structure nurtures the interdisciplinary relationships that give us the edge, laying the groundwork for more informed insights and more original, incisive thinking. When paired with our global reach and resources, our diverse perspectives and technical capabilities make us uniquely capable to address our clients’ challenges. We get results because we know how to apply our thinking to your world. BRG is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law.

AI Applications Engineer in London employer: Berkeley Research Group

At BRG, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As an AI Applications Engineer, you will have the opportunity to work with cutting-edge technologies in a collaborative environment, while benefiting from our commitment to professional growth and development. With flexible remote and hybrid working options across EMEA and APAC, we ensure that our team members can achieve a healthy work-life balance while contributing to impactful projects that shape the future of AI.
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Contact Detail:

Berkeley Research Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Applications Engineer in London

✨Tip Number 1

Network like a pro! Reach out to current employees at BRG on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the AI Applications Engineer role.

✨Tip Number 2

Prepare for technical interviews by brushing up on your Python skills and understanding LLM frameworks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 3

Showcase your projects! If you've built any AI applications or APIs, make sure to highlight them in your discussions. We love seeing real-world examples of your work that demonstrate your skills.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace AI Applications Engineer in London

Python Development
API Development
Data Pipeline Construction
LLM Frameworks
AI Tooling
Distributed Systems Concepts
Cloud Platforms Understanding
Collaborative Teamwork
English Communication Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI Applications Engineer role. Highlight your experience with Python, APIs, and LLM frameworks. We want to see how your skills align with what we do at BRG!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our Virtual Ai Lab initiative. Let us know what excites you about working with BRG.

Showcase Your Projects: If you've worked on relevant projects, make sure to mention them! Whether it's building APIs or developing AI applications, we love seeing real-world examples of your work that demonstrate your capabilities.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s straightforward and ensures your application goes directly to us. We can't wait to see what you bring to the table!

How to prepare for a job interview at Berkeley Research Group

✨Know Your AI Stuff

Make sure you brush up on your knowledge of LLMs and AI tooling. Be ready to discuss how you've used these technologies in past projects, especially in building APIs and data pipelines. Showing that you can translate complex concepts into practical applications will impress the interviewers.

✨Showcase Your Collaboration Skills

Since this role involves working in highly collaborative teams, be prepared to share examples of how you've successfully worked with others in previous roles. Highlight any experiences where you contributed to a team project, especially in a remote or hybrid setting, as this aligns with BRG's culture.

✨Prepare for Technical Questions

Expect some technical questions related to Python development and distributed systems. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges can help you feel more confident during this part of the interview.

✨Understand the Company Culture

Familiarise yourself with BRG's unique culture and values. They emphasise agility and connectivity, so think about how your personal work style aligns with these principles. Being able to articulate why you want to work there and how you fit into their vision will set you apart from other candidates.

AI Applications Engineer in London
Berkeley Research Group
Location: London

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