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- Tasks: Join our ML team to design and evaluate innovative agentic systems for workflow automation.
- Company: DeepFlow is a pioneering London startup focused on building semi-autonomous companies using advanced AI.
- Benefits: Enjoy a competitive salary, MacBook Pro, weekly team lunches, and flexible hybrid work options.
- Why this job: Contribute to cutting-edge research and publications in AI while collaborating with top experts in the field.
- Qualifications: Bachelor's or Master's in computer science/AI, Python proficiency, and basic LLM knowledge required.
- Other info: Internship starts on 1 September 2025; applications accepted until the position is filled.
DeepFlow is a London-based startup on a mission to build semi-autonomous companies through solving human-agentic orchestration. DeepFlow’s platform leverages advanced AI and multi-agent LLM technologies across five critical operational areas:
- Task Definition and Decomposition: Precisely breaking down complex goals into manageable sub-tasks.
- Task Delegation and Optimisation: Intelligently assigning tasks to the most suitable human or AI agents.
- Task Execution and Automation: Seamlessly carrying out defined tasks, leveraging automated processes where possible.
- Management and Coordination: Overseeing ongoing workflows and ensuring synchronised efforts across diverse agents.
- Governance, Security, and Compliance: Maintaining oversight and adherence to established protocols and regulations.
By embedding intelligent agents and agentic systems throughout these five areas, DeepFlow positions itself at the forefront of workflow management innovation. Our ambitious research vision at DeepFlow is centred on building autonomous agentic systems capable of collaborating in dynamic multi-agent/human teams, transforming complex coordination into a significant human advantage. This endeavour involves cutting-edge research and innovative integration across several highly active fields of AI and machine learning, including high-capacity multi-modal foundation models, reinforcement learning, and multi-agent collaboration frameworks.
Internship Opportunity - Join the ML Team at DeepFlow
We are looking for a highly motivated intern to join our ML team led by Dr. Stefano Albrecht (Director of AI at DeepFlow). You will work with our ML engineers to design, implement, and evaluate agentic systems and multi-agent collaboration frameworks for workflow automation within the DeepFlow platform. We are aiming to generate research papers to submit to top-tier international ML conferences (e.g. NeurIPS, ICML, ICLR), and your work will directly contribute to our research and you will be involved in the publications processes.
Essential skills:
- Bachelor’s or Master’s degree (or higher) in computer science, AI/ML, or related field
- Proficiency with Python programming (e.g. OOP, Pydantic, FastAPI) and version control (git)
- Basic knowledge of LLMs and how they work
- Ability to work independently and in a team
- Clear communication at meetings
Desired skills:
- Experience in building/using AI/ML methods (e.g. LLMs, multi-agent systems, reinforcement learning, agents SDKs)
- Knowledge of agentic systems, reasoning models, tool use, etc.
- Experience contributing to empirical AI research projects (e.g. demonstrated via publications at top AI/ML conferences)
Internship details:
- Start: 1 September 2025 (flexible start date)
- Duration: 6 months
- Salary: £3,000/month
- Location: Mindspace Shoreditch, London & Hybrid (wfh)
- Benefits: we provide MacBook Pro, weekly team lunch
Application
CV, 1-page cover letter describing your motivation for joining this role and how you match the essential/desired skills - please email this to stefano.albrecht@deepflow.com. Two reference letters (or contacts for two referees who agreed to provide letters). We will start to screen applications and interview shortlisted candidates after 21 July 2025. Applications will be accepted until the position is filled. Note: you must have the ability to work full time in the UK. Your application will only be considered with a supporting cover letter.
Internship: ML Engineer & Research DeepFlow, London (LLMs, Agentic Systems, Multi-Agent Collabora... employer: DeepFlow
Contact Detail:
DeepFlow Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Internship: ML Engineer & Research DeepFlow, London (LLMs, Agentic Systems, Multi-Agent Collabora...
✨Tip Number 1
Familiarise yourself with the latest advancements in multi-agent systems and LLMs. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your genuine interest in the field.
✨Tip Number 2
Connect with current or former interns and employees at DeepFlow on LinkedIn. Ask them about their experiences and any insights they can share about the company culture and the ML team. This can give you an edge in understanding what they value in candidates.
✨Tip Number 3
Prepare to discuss your previous projects related to AI/ML, especially those involving collaboration frameworks or agentic systems. Be ready to explain your thought process, challenges faced, and how you overcame them, as this demonstrates your problem-solving skills.
✨Tip Number 4
Stay updated on the latest research papers from top-tier conferences like NeurIPS and ICML. Being able to reference recent studies or breakthroughs during your interview can show your commitment to the field and your proactive approach to learning.
We think you need these skills to ace Internship: ML Engineer & Research DeepFlow, London (LLMs, Agentic Systems, Multi-Agent Collabora...
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the internship role at DeepFlow. Familiarise yourself with their mission and the specific skills they are looking for, such as proficiency in Python and knowledge of LLMs.
Craft a Tailored Cover Letter: Write a one-page cover letter that clearly outlines your motivation for joining DeepFlow and how your skills align with both the essential and desired qualifications. Be specific about your experiences and how they relate to the tasks you'll be handling.
Prepare Your CV: Ensure your CV is up-to-date and highlights relevant experience, particularly in AI/ML projects or any research contributions. Make it concise and focused on the skills that DeepFlow values.
Gather References: Contact two referees who can provide strong reference letters. Make sure they are aware of the position you're applying for and can speak to your skills and experiences relevant to the internship.
How to prepare for a job interview at DeepFlow
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and any relevant AI/ML methods during the interview. Be prepared to discuss specific projects or experiences where you've applied these skills, especially in relation to LLMs and multi-agent systems.
✨Demonstrate Your Research Interest
Since DeepFlow is focused on cutting-edge research, express your enthusiasm for contributing to research papers and conferences. Mention any previous research experience or publications you have, as this will show your commitment to the field.
✨Prepare for Team Collaboration Questions
Given the collaborative nature of the role, be ready to discuss how you work in teams. Share examples of past experiences where you successfully collaborated with others, particularly in a technical environment, to solve complex problems.
✨Craft a Compelling Cover Letter
Your cover letter is crucial for your application. Use it to clearly articulate your motivation for joining DeepFlow and how your skills align with their needs. Tailor it specifically to the internship role and mention why you're excited about their mission.