At a Glance
- 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.
- Other info: Internship starts on 1 September 2025; applications accepted until the position is filled.
- 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.
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... in City of London employer: DeepFlow
DeepFlow is an innovative London-based startup that offers a dynamic and collaborative work environment, perfect for aspiring ML engineers. With a strong focus on cutting-edge research and the development of autonomous agentic systems, interns will have the opportunity to contribute to impactful projects while enjoying benefits like a MacBook Pro and weekly team lunches. The culture at DeepFlow fosters growth and learning, making it an excellent place for those looking to advance their careers in AI and machine learning.
StudySmarter Expert Advice🤫
We think this is how you could land Internship: ML Engineer & Research DeepFlow, London (LLMs, Agentic Systems, Multi-Agent Collabora... in City of London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Internship: ML Engineer & Research DeepFlow, London (LLMs, Agentic Systems, Multi-Agent Collabora... in City of London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at DeepFlow will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at DeepFlow
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress DeepFlow.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show DeepFlow that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
