Level

ML6

Senior AI Engineer

AI in this role

ml-ops

Stop building AI that never meets production. Build systems that actually make impact. Most AI roles stop at tweaking models or working on proof-of-concepts. Yours won’t.

At ML6, you design, build, and deploy AI solutions that are used in production at companies like ASML, Bolt Energie and Randstad.

WHAT'S IN IT FOR YOU

  • Take up a tech lead role on a per-project basis

  • Work end-to-end: from data to production

  • See your solutions live in real-world environments

  • Combine AI, software engineering, and business impact

  • High ownership and autonomy in your work

  • Collaborate with smart, driven engineers

THE IMPACT YOU MAKE

You are more than an engineer. You are a Tech Lead, builder, and consultant in one.

  • Design and build end-to-end AI solutions

  • Take systems from idea to production deployment

  • Make architecture decisions and ensure scalability

  • Lead teams of engineers

  • Translate business challenges into technical solutions

  • Work with Python, ML frameworks, GenAI, and cloud (AWS/GCP/Azure)

  • Build scalable systems using MLOps and CI/CD

  • Lend your technical expertise to client conversations to succesful start new opportunities

Time allocation: 70% client project work + 30% research, internal (domain) work and more
Note that ML6 is not an outsourcing firm, Our agents work on projects together with a team of colleagues.

WHAT YOU BRING

  • 4+ years of working experience as a software, ML or AI engineer

  • Proven track record in delivering end-to-end solutions (to production)

  • Experience with cloud platforms (AWS, GCP, or Azure)

  • Experience leading projects or small technical teams

  • Strong communication skills (technical and non-technical) in English

  • Familiarity with MLOps principles and a passion for building robust, scalable systems

WHY JOINING ML6

At ML6, our 'people first' culture is how we bring innovation to life. We've built a place where we truly love working, and we think you will too. Here’s what you can expect:

  • Lead with Impact: Your work will directly deliver value to our clients and contribute to positive change

  • Growth & Learning: We invest in your development with opportunities to work on diverse, challenging projects. We plan yearly growth evaluations where senior is not the end. You can grow into a Principal Engineer, Squad Lead, Office of the CTO, or specialize in your domain.

  • A Culture of Trust: Thrive in an inclusive environment built on trust and transparent communication, where every voice is heard and valued. We have a hybrid working setup with lots of autonomy.

  • Rewarding You: We offer an attractive salary package and an optimised benefits program that reflects your expertise and impact. We will share the specific ranges transparently at the beginning of the process. You can already view our rewarding philosophy and offerings here.

How we score this

Senior AI Engineer at ML6 scores 94 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Ml Ops

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. How would you decide a model or AI system is ready to ship?
  3. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Ml Ops. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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