Ready to accelerate and create real business impact with AI? π
Join us
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Alliance Manager - Azure
Business Development unit π€ · Multiple locations
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Senior Comp&Ben Officer
Talent & Culture π«Ά · Multiple locations
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AI Team Lead
Advisory & Delivery unit π» · Office Amsterdam π
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Data Engineer
Advisory & Delivery unit π» · Multiple locations
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Junior Talent Partner
Talent & Culture π«Ά · Multiple locations
The central beliefs that drive ML6 and its actions π§‘
Domains we currenly focus on
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AI in Bio π§¬
Biology is intrinsically complex and diverse. Despite, decades of research, nature still holds many secrets. Today, there is an opportunity for AI to support the experts: mapping experiment input and output over very complex biological functions.
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Energy β‘
AI can optimize resourcemanagement, enhance grid efficiency, and accelerate the transition to clean energy. This holds the key to a sustainable and greener future, making it a crucial avenue for innovation.
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GenAI NLP π
Generative AI describes algorithms (such as ChatGPT) that can be used to create new content based on patterns learned. LLMs are a particular type of generative AI that are trained on textual data.
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GenAI Vision ποΈ
Generative AI can create certain types of images, text, videos, and other media in response to prompts. Image generation models like Stable Diffusion are revolutionizing the creative industries and beyond by sharply increasing the reach and productivity of designers.
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Digital Twins β
A digital twin is a digital representation of a physical object, person, or process, contextualized in a digital version of its environment. Digital twins can help an organization simulate real situations and their outcomes, ultimately allowing it to make better decisions.
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Ops ποΈ
Operations: DevOps and MLOps. DevOps refers to a set of practices and tooling that enable fast/high quality delivery and continuous improvements. MLOps extends DevOps to ML systems, which come with a set of challenges related to the training, deployment, monitoring and tracking of models.
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FAQ
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There is a reason why we donβt work fully remotely at ML6 and why we love being present at our offices so often. At ML6, our culture is based on interpersonal connections and our strength lies in our personal collaboration. With our clients, and with each other. We work from home about 2 days a week. Our offices are situated in Berlin, Amsterdam and Ghent.
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Donβt expect a big corporate organisation with pre-defined jobroles and a defined plan for the coming years. Expect the unexpected. Growth, change and impact. Learn from engaged experts with a like minded passion for technology. Expect to work for the most innovative and biggest companies across countries. We are all T-shaped consultants working on a shared goal. ML6 has great things to offer! Next to our Delivery and Advisory unit, we've created new Units such as our Platform Unit (Fondant) and our Solutions Unit. Tons of opportunities to explore!
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We are an AI Consulting company on a mission. Guiding the AI revolution towards positive impact. You can become part of this mission. We are always on the look for business minded people with a consultative approach. We dedicate great effort in building a caring culture full of learning opportunities that accelerates us to accomplish our main purpose. You can be in the driverβs seat of your career. You can be the next ML6 agent to create value for our customers and company.
Are you up for the challenge?
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It depends on the role that you're applying for. For our technical roles, we always start with a technical matching (ex. coding challenge) and get to know interview. Every role at ML6 receives a presentation challenge where we will evaluate how you can contribute to our innovative projects by demonstrating your skills & creativity. As you approach the finish line, we schedule a final interview (physically) to reflect on your dream job at ML6.
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We work in Units and with Unit Coaches. For more information about our structure, we recommend you to watch this video.
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At ML6, we boost and increase revenue growth for other companies, by implementing AI solutions. We do this for a broad range of industries. From manufacturing, to healthcare or media and entertainment industries (and lots more!).
You can find some of our client cases and testimonials here. -
You can find all of our upcoming meet ups and events here. If you would like to schedule a first get-to-know, we recommend you to apply officially via our jobsite where we will follow up with you soon.
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At ML6 we take our responsibility to build secure, reliable and sustainable technology seriously and integrate ethics within our way of working. We have our own Ethical Advisory board to discuss sensitive projects.
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ML stands for our main expertise, Machine Learning. Next to that, we don't take ourselves always very seriously. Our people are 'ML6 agents', wink to MI6. Seen the James Bond movies? Our meeting rooms for example are named after them. After all, we can be a bit geeky at times ;-)
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This really depends on the scope of the project. A project can run for a couple of months, to even years. Our ML6ies work on projects together with a team of colleagues. This team can have different skills like data engineering, software, machine learning and project management to deliver top notch service to our clients. They sometimes work on different projects simultaneously or combine project work with an internal project or research topic.
About ML6
We guide the AI revolution towards positive impact. π
Exciting developments are happening in the world of AI, offering unprecedented opportunities for businesses to innovate and gain a competitive edge. Now more than ever is the time to create intelligence with lasting positive impact. And you can be a part of this!
1. We deliver end-to-end projects where we accompany organisations through the entire AI journey
2. We build bespoke hybrid ML solutions
3. We navigate and set up advisory projects
As ML6 highly values diversity, inclusion and transparent communication, we've implemented a formal channel to report serious misconduct here.
Examples of serious misconduct (not limited to): safety of the individual (aggression, discrimination, sexual harassment), data privacy issues, public health, tax and fraud.