platform engineer

ai engineer

ai engineer manager

analytics engineer

engineering director

ml engineer

CuspAI

<div>
 <strong>
  About CuspAI
  <br/>
  <br/>
 </strong>
 CuspAI is the frontier AI company on a mission to solve the breakthrough materials needed to power human progress. While nature took billions of years to perfect molecules, we are harnessing AI to unlock trillion-dollar materials breakthroughs in months, not millennia. Our founding team is the most cited in the world, comprised of world-class researchers in AI, chemistry and engineering.
 <br/>
 <br/>
 We are working on some of the hardest and most important challenges including energy, clean water, the future of compute, and carbon capture, and this is just the start of what our 'search engine' for next-generation materials will unlock.
 <br/>
 <br/>
 We invite you to be part of a diverse, innovative team at the intersection of AI and materials science, working to create impactful partnerships that drive innovation, scalability, and industry collaboration. This work matters. Your work matters.
 <br/>
 <br/>
 <strong>
  We&rsquo;re on the cusp of the on-demand materials era. Join us.
  <br/>
  <br/>
 </strong>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 Due to rapid growth in our core AI capabilities, we are seeking an experienced Applied AI/ML Engineer (Agents) to design and build the intelligent agents that power our autonomous materials discovery engine.
 <br/>
 <br/>
 <strong>
  Your Impact
  <br/>
  <br/>
 </strong>
 You will be instrumental in developing the "artificial brain" of our agentic materials discovery engine. This is responsible for
 <strong>
  orchestrating complex, closed-loop scientific workflows, autonomously making decisions, running simulations
 </strong>
 ,
 <strong>
  and driving experimental campaigns
 </strong>
 to find breakthrough materials faster than ever before.
 <br/>
 <br/>
 Your work will directly accelerate CuspAI&rsquo;s path to finding solutions for global sustainability challenges.
 <br/>
 <br/>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <strong>
  Agentic systems
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design the agentic framework that powers our platform to discover new materials. This includes spanning dynamic, multi-stage simulation workflows from literature-grounded hypothesis generation through to computational and experimental validation
  </li>
  <li>
   Build the integration that connects agents to ML models, simulation engines, databases, and heterogeneous compute backends
  </li>
  <li>
   Design pipelines that let agents autonomously plan, schedule, execute, and interpret computational tasks at scale and over long periods of time
  </li>
  <li>
   Use expert annotations from the Chemistry team to drive targeted improvements in agent planning, retrieval, and decision-making
  </li>
  <li>
   Create evaluations to measure the effectiveness of agents
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experimental design
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build agents that perform experimental design &mdash; applying Bayesian optimization, active learning, or related sequential decision-making methods to decide what to compute or measure next, and to balance exploration and exploitation across long-running discovery campaigns
  </li>
  <li>
   Help close the loop between simulation and physical experiments so that outcomes become durable knowledge &mdash; feeding back into what agents know and how their models reason &mdash; compounding across campaigns.
  </li>
  <li>
   Develop strategies for multi-fidelity and multi-objective decision-making, where agents must trade off cost, time, and uncertainty across simulations and physical experiments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Interdisciplinary Collaboration
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work closely with Chemists, Materials Scientists, and the rest of the Agent team to co-develop our core orchestration intelligence
  </li>
  <li>
   Work on customer projects and implement the direct needs required for these projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Must Have Skills and Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are someone who gets excited about the opportunity to enable scientists to work on world changing challenges in this domain, with a personal interest in the potential applications of the technology that CuspAI is building.
  </li>
  <li>
   Proficiency in the modern ML ecosystem such as PyTorch or JAX, with experience taking ML-driven systems from prototype to production
  </li>
  <li>
   Strong software engineering skills (building systems at scale in a production environment): testing, modular design, CI/CD, and scalable ML operations in production environments
  </li>
  <li>
   If you have a PhD or Masters degree and 4-5 yrs industry experience this would be ideal, but we will also consider you if you have a PhD and slightly less experience in industry
  </li>
  <li>
   You have a proactive builder mentality with a bias toward shipping and iteration
  </li>
  <li>
   Willingness to learn about materials science, and in particular experimental chemistry - to learn the vocabulary of the discipline to meaningfully interact with other stakeholders
  </li>
  <li>
   Experienced in LLM-assisted programming, knowing its strengths and weaknesses thoroughly.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Bonus Points (But Not Critical):
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience applying ML models specifically for materials science, chemistry, or drug discovery applications
  </li>
  <li>
   Experience with agentic frameworks and building LLM-powered applications
  </li>
  <li>
   Experience with sequential decision-making methods &mdash; Bayesian optimization, active learning, bandits, or reinforcement learning &mdash; applied to real-world systems
  </li>
  <li>
   Advanced agentic-reasoning techniques: planning models, self-improving systems, multi-tool agents, or RLHF/RLAIF workflows
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Considerations
  <br/>
  <br/>
 </strong>
 This role could be based in our
 <strong>
  Cambridge, London, Amsterdam or Berlin offices
 </strong>
 , with the expectation of being
 <strong>
  in the office three days per week
 </strong>
 . Additionally, there may be regular travel required to our other offices for collaboration and project oversight.
 <br/>
 <br/>
 Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
 <br/>
 <br/>
 <strong>
  What we offer
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A competitive salary: We value and reward impact and growth
  </li>
  <li>
   Equity in CuspAI: You have a stake in the success of the company
  </li>
  <li>
   Time off to stay fresh: 28 days holiday (DE, NL, UK) or 21 days holiday (JP, SG, US), in addition to local public holidays
  </li>
  <li>
   &lsquo;Gold Standard&rsquo; parental leave: 26 weeks (primary caregiver) and 12 weeks (secondary caregiver) at full pay - we look after you and your family while we work on the most important materials discovery problems together
  </li>
  <li>
   Professional development budget: We invest in your career development so you can stay up to date with the latest industry knowledge or add to your skills to increase impact and growth
  </li>
  <li>
   Solve meaningful problems: See how your work has a direct impact on advancing materials science and solving sustainability and climate-related problems through the creation and application of bleeding-edge SOTA technology and revolutionary techniques
  </li>
  <li>
   True interdisciplinary teamwork: Be part of a deeply collaborative environment bridging AI research, computational chemistry, and experimental science - work with world-class researchers and engineers who enjoy sharing knowledge and supporting each other
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Join us in shaping the future of materials with AI. Together, we can create groundbreaking solutions for a more sustainable world.
  <br/>
  <br/>
 </strong>
 <strong>
  CuspAI is an equal opportunities employer committed to building a diverse and inclusive workplace
 </strong>
 . We do not discriminate on the basis of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding), veteran status, or any other basis protected by applicable law.
 <br/>
 <br/>
 <strong>
  We actively encourage applications from all backgrounds and value the unique perspectives and contributions that diversity brings to our team.
  <br/>
  <br/>
 </strong>
 <strong>
  Please let us know If you require any specific adjustments during or after the interview process. We will do everything we can within reason to accommodate.
  <br/>
  <br/>
 </strong>
</div>


Applied AI/ML Engineer (Agents)

Optics11

<div>
 We are expanding our team with a
 <strong>
  Data &amp; ML Infrastructure Engineer
 </strong>
 who will take ownership of the platform that enables data ingestion, processing, storage, and machine learning workflows across multiple products. Operating at the intersection of data science, software engineering, and cloud infrastructure, you will build the foundations and ensure that our ML systems are scalable, reproducible, and production ready.
 <br/>
 <br/>
 In this role, you will design, implement, and continuously improve a cloud-agnostic data and ML platform that supports multiple products and teams. You will be responsible for platform reliability, scalability, and cost-efficiency, while providing data scientists and ML engineers with the tools and infrastructure to efficiently develop, train, validate, and deploy machine learning models. You will serve as a technical bridge between the data science and IT/infrastructure teams, translating requirements into robust and maintainable systems.
 <br/>
 <br/>
 This role includes ownership of an existing vendor-delivered platform and its evolution into a fully automated, reproducible, and multi-product ML platform.
 <br/>
 <br/>
 Key Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Design, implement, and maintain the data and ML platform infrastructure, including systems for data ingestion, storage, processing, and training.
  </li>
  <li>
   Ensure high availability, reliability, and uptime of the platform, as it is critical to the business value proposition.
  </li>
  <li>
   Maintain and evolve vendor-delivered platform components and ensure long-term maintainability and independence.
  </li>
  <li>
   Build and maintain data workflows, including tools for dataset versioning, experiment tracking, and model lifecycle management across multiple products.
  </li>
  <li>
   Enforce DevOps / MLOps practices, including CI/CD pipelines, Infrastructure-as-Code, and automated workflows.
  </li>
  <li>
   Develop cloud-agnostic and containerized solutions that can run across public and private cloud environments within EU constraints.
  </li>
  <li>
   Optimize data storage, lifecycle policies, and cost efficiency, including tiered storage and retention strategies.
  </li>
  <li>
   Implement and maintain monitoring and alerting systems (e.g., Prometheus, Grafana) for pipelines, infrastructure, and resource usage.
  </li>
  <li>
   Ensure data governance, security, and compliance, including access control, audit logging, and anonymization requirements.
  </li>
  <li>
   Collaborate closely with data scientists, ML engineers, and IT teams to deliver infrastructure that meets operational needs.
  </li>
  <li>
   Manage resource and cost controls, including budgets, approvals, and tracking.
  </li>
  <li>
   Contribute to documentation, operational runbooks, and onboarding materials for the platform.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Join one of Europe&rsquo;s most promising deep-tech scale-ups.
  </li>
  <li>
   Shape the future of a rapidly growing multidisciplinary R&amp;D organization.
  </li>
  <li>
   Competitive salary and benefits package.
  </li>
  <li>
   Enjoy regular team activities and company events.
  </li>
  <li>
   Fresh team lunches provided3 times/ week.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Required Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   MSc or equivalent with 5+ years&rsquo; industry experience in Computer Science, Data Engineering, Machine Learning, or a related field.
  </li>
  <li>
   Strong experience with data platforms, cloud infrastructure, and distributed systems (AWS, GCP, Azure).
  </li>
  <li>
   Proven experience with Infrastructure-as-Code (e.g., Terraform) and automated deployments.
  </li>
  <li>
   Experience with ML platforms and tools (MLflow, Feast, DVC, DataHub or equivalent).
  </li>
  <li>
   Experience with AWS Sagemaker or Google Vertex AI platforms.
  </li>
  <li>
   Experience with databases (MongoDB, PostgreSQL, InfluxDB or equivalent).
  </li>
  <li>
   Experience with message brokers and streaming systems (Kafka, RabbitMQ or equivalent).
  </li>
  <li>
   Hands-on experience with containerization (Docker/OCI) and orchestration (Kubernetes or similar).
  </li>
  <li>
   Experience with CI/CD systems (e.g., GitLab CI).
  </li>
  <li>
   Programming skills in Python.
  </li>
  <li>
   Experience with monitoring and observability tools (Prometheus, Grafana).
  </li>
  <li>
   Understanding of DevOps and MLOps practices.
  </li>
  <li>
   Ability to work across teams and translate requirements into scalable infrastructure solutions.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Knowledge of data governance, IAM, and security frameworks.
  </li>
  <li>
   Experience with cost optimization and resource management in cloud environments.
  </li>
  <li>
   Familiarity with multi-tenant or multi-product platform architectures.
  </li>
  <li>
   Experience working with EU data compliance constraints in energy, maritime or defense.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Security &amp; Compliance:
  <br/>
  <br/>
 </strong>
 You'll be working with clients in the defense and security sectors, obtaining a Certificate of No Objection issued by the AIVD (Dutch General Intelligence and Security Service) is mandatory. This means you will need to undergo a security screening. For more information, please refer to details on security screening.
</div>


Data & ML Infrastructure Engineer

KPN 

<div><b>Company Description</b><p><br>
You&rsquo;ll join in the young, enthusiastic Data Science Lab team within the AI Excellence Center of 30+ highly skilled and energetic colleagues. As part of the AI community, you&rsquo;ll work closely with various specialists, including business stakeholders, domain experts, data engineers, software engineers, ML Engineers, mathematicians, and data scientists. We have a close and thriving AI community of around ~100 people from different teams and departments with every month a VrijMiBo. Organizing every month a Knowledge exchange followed by different activities like playing padel, climbing or pubquizes.</p><b><br>
Job Description</b><p><br>
In this role, you&rsquo;re the driving force behind developing new technologies into building blocks for the whole company to build their GenAI use cases. You&rsquo;ll use cutting-edge software and tools to ensure that these solutions not only work but are also scalable, reliable, and always available. Your daily responsibilities include:</p><ul><li>
Developing and maintaining production-grade GenAI solutions</li><li>
Define priorities and influence the GenAI Lab roadmap.</li><li>
Operationalizing and integrating capabilities into business processes, IT, and data platforms.</li><li>
Engaging in continuous collaboration with team members, domain experts, and business stakeholders to refine and implement the most effective solutions.</li><li>
Mentoring junior team members and maintaining AI Excellence.</li></ul><br>
<b>
Qualifications</b><p><br>
You&rsquo;re eager to learn and flexible on a technical and personal level. You&rsquo;re analytically strong and carry a strong sense of responsibility. You enjoy engaging both technical and non-technical colleagues in your work. To be successful in this role, you bring:</p><ul><li>
At least 5 years of experience as an AI/ML Engineer or similar.</li><li>
Master&rsquo;s degree with a technical component, like Computer Science or Software Engineering.</li><li>
Proven experience building production-grade GenAI applications (RAG, Agentic AI, etc.).</li><li>
Proficiency in Python</li><li>
Experience with Azure and Infrastructure-as-Code</li><li>
Experience with ML libraries, REST APIs, microservices (Docker, Kubernetes, etc.)</li><li>
Excellent knowledge of software engineering methodologies and best practices including coding standards, code reviews, version control, CI/CD, testing and security.</li></ul><br>
<b>
Additional Information</b><p><br>
As an employer, we have a lot to offer you. Here&rsquo;s what you get from us:</p><ul><li>
A gross monthly salary starting from &euro; 5.190 to a maximum of &euro; 7.803, depending on your work experience, based on a 40-hour workweek.</li><li>
A guaranteed 13th-month salary: part of it is paid out monthly, and part in January of the following year. Or you can allocate it towards a FLEX &amp; BOOST goal of your choice! Click here to learn more.</li><li>
Annual individual and collective salary increases according to our collective labor agreement (CAO).</li><li>
&euro; 1,500 per year in a personal development budget that you can use at your discretion for training, coaching, or courses.</li><li>
Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.</li><li>
A healthy work-life balance, with 2 days in the office and 3 days working from home, transition leave, and the option to swap holidays for ones that align with your religious or cultural preferences.</li><li>
A home office setup workshop to optimize your remote workspace, including a mobile phone and laptop.</li><li>
50% discount on our products and services, so you can enjoy affordable internet, calls, and streaming.</li><li>
Excellent travel reimbursement: full coverage for public transport or &euro; 0.23 per kilometer if you travel by car. Prefer cycling? You can receive &euro; 0.40 per kilometer.</li><li>
The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether it&rsquo;s a city bike, e-bike, racing bike, or speed pedelec, you get to choose.</li><li>
Outstanding pension benefits: a total contribution of 23% of your pensionable salary, with KPN contributing 16% and you contributing 7%.</li></ul><p>
Would you like to learn more? Feel free to contact our recruiters Adumobia Rogers via E-mail at adumobia.rogers-noteboom@kpn.com</p><p>
At KPN, we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.</p></div>

Senior Machine Learning Engineer

<div>
 Ben jij een Senior Machine Learning Engineer met interesse in het bouwen van Generative AI-oplossingen? Dan biedt deze rol bij KPN jou de kans om jouw AI-engineeringvaardigheden in te zetten binnen een AI-expertiseteam van Data Scientists en Machine Learning Engineers. In ons team werken we samen aan het verkennen, ontwikkelen en toepassen van de nieuwste (Gen)AI-technologie&euml;n. Je komt terecht in een jong, dynamisch team binnen het AI Excellence Center in Amsterdam, waar hybride werken, samenwerking en groeimogelijkheden centraal staan. Klaar om jouw carri&egrave;re naar een hoger niveau te tillen?
 <br/>
 <br/>
 Jouw rol als Senior Machine Learning Engineer
 <br/>
 <br/>
 In deze rol ben jij de drijvende kracht achter het ontwikkelen van nieuwe technologie&euml;n tot bouwstenen waarmee de hele organisatie GenAI-usecases kan realiseren. Je gebruikt geavanceerde software en tools om ervoor te zorgen dat deze oplossingen niet alleen werken, maar ook schaalbaar, betrouwbaar en continu beschikbaar zijn.
 <br/>
 <br/>
 Jouw dagelijkse werkzaamheden omvatten:
 <br/>
 <br/>
 <ul>
  <li>
   Ontwikkelen en onderhouden van production grade GenAI-oplossingen
  </li>
  <li>
   Prioriteiten bepalen en invloed uitoefenen op de roadmap van het GenAI Lab
  </li>
  <li>
   Operationaliseren en integreren van GenAI-technologie in bedrijfsprocessen, IT en dataplatformen
  </li>
  <li>
   Continu samenwerken met teamleden, domeinexperts en business stakeholders om de meest effectieve oplossingen te realiseren
  </li>
  <li>
   Begeleiden van junior teamleden en bijdragen aan AI Excellence
   <br/>
   <br/>
  </li>
 </ul>
 Dit is je team
 <br/>
 <br/>
 Je sluit je aan bij het jonge, enthousiaste Data Science Lab-team binnen het AI Excellence Center, bestaande uit meer dan 30 hoogopgeleide en energieke collega&rsquo;s.
 <br/>
 <br/>
 Als onderdeel van de AI-community werk je nauw samen met diverse specialisten, waaronder business stakeholders, domeinexperts, data engineers, software engineers, ML engineers, wiskundigen en data scientists.
 <br/>
 <br/>
 We hebben een hechte en groeiende AI-community van ongeveer 100 mensen uit verschillende teams en afdelingen. Elke maand organiseren we een VrijMiBo, een kennisuitwisseling en leuke activiteiten zoals padel, klimmen of pubquizzen.
 <br/>
 <br/>
 Wat breng
 <br/>
 <br/>
 jij ons?
 <br/>
 <br/>
 Je bent leergierig en flexibel, zowel technisch als persoonlijk. Je bent analytisch sterk en hebt een groot verantwoordelijkheidsgevoel. Je vindt het leuk om zowel technische als niet-technische collega&rsquo;s te betrekken bij je werk.
 <br/>
 <br/>
 Om succesvol te zijn in deze rol, breng je mee:
 <br/>
 <br/>
 <ul>
  <li>
   Minimaal 5 jaar ervaring als AI/ML Engineer of vergelijkbaar
  </li>
  <li>
   Een masterdiploma met een technische component, zoals Computer Science of Software Engineering
  </li>
  <li>
   Aantoonbare ervaring met het bouwen van production grade GenAI-applicaties (zoals RAG, Agentic AI, etc.)
  </li>
  <li>
   Ervaring met Python
  </li>
  <li>
   Ervaring met Azure en Infrastructure-as-Code
  </li>
  <li>
   Ervaring met ML-libraries, REST API&rsquo;s, microservices (Docker, Kubernetes, etc.)
  </li>
  <li>
   Uitstekende kennis van software-engineeringmethodologie&euml;n en best practices, waaronder coding standards, code reviews, versiebeheer, CI/CD, testen en security
   <br/>
   <br/>
  </li>
 </ul>
 Wat krijg je
 <br/>
 <br/>
 van ons?
 <br/>
 <br/>
 Natuurlijk hebben we als werkgever jou ook veel te bieden. Dit krijg je van ons:
 <br/>
 <br/>
 <ul>
  <li>
   Een bruto maandsalaris van minimaal &euro; 5.190 ,- en maximaal &euro; 7.803 ,- afhankelijk van je werkervaring, op basis van 40 uur exclusief 8% vakantiegeld
  </li>
  <li>
   Vaste 13e maand, een deel krijg je maandelijks uitbetaald en een deel in januari van het volgende jaar. &Oacute;f je zet het in voor een FLEX &amp; BOOST doel naar keuze! Klik hier om er meer over te lezen
  </li>
  <li>
   Jaarlijks een individuele en collectieve verhoging conform onze CAO
  </li>
  <li>
   &euro; 1500 per jaar aan inzetbaarheidsbudget dat je naar eigen inzicht mag gebruiken voor bijvoorbeeld trainingen, coaching en cursussen
  </li>
  <li>
   Flexibele vrije dagen: onze collega&rsquo;s mogen zelf (in samenspraak met de manager) bepalen hoe zij met verlof omgaan
  </li>
  <li>
   Een goede werk-priv&eacute; balans
  </li>
  <li>
   Thuiswerkshop om je werkplek thuis optimaal in te kunnen richten, uiteraard met een mobiele telefoon &amp; laptop
  </li>
  <li>
   50% korting op onze producten en diensten, zodat je voordelig kunt internetten, bellen &eacute;n streamen
  </li>
  <li>
   Goede reiskostenvergoeding: je krijgt je OV kosten volledig vergoed of &euro; 0,23 per kilometer als je met de auto reist. Kom je liever op de fiets? Dan kun je aanspraak maken op onze fietsvergoeding &euro; 0,40 per kilometer
  </li>
  <li>
   Mogelijkheid tot het aanschaffen van een leasefiets waar KPN maandelijks aan meebetaalt (bij onbepaalde tijd contract): Van stadsfiets tot e-bike en van racefiets tot speed-pedelec; jij kiest waar je op fietst
  </li>
  <li>
   Uitstekende pensioenvoorwaarden: een totale inleg van 23% van je pensioengevende salaris waarvan KPN 16% inlegt en jij 7%
   <br/>
   <br/>
  </li>
 </ul>
 Ons geloof in technologie is groot. Dit wordt n&oacute;g krachtiger samen met menselijk contact, daarom ontmoeten we je graag!
 <br/>
 <br/>
 Wil je meer weten? Neem contact op met onze recruiter Szilvia Haraszti via szilvia.haraszti@kpn.com
</div>


Bain & Company

<div><p><b><i>Please </i></b><b><i>submit your resume/CV in English to be considered for this role.</i></b></p>
<p><b>WHAT MAKES US A GREAT PLACE TO WORK</b></p>
<p>We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor Best Place to Work list and have earned the #1 overall spot a record seven times.</p>
<p>Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p>
<p><b>WHO YOU&rsquo;LL WORK WITH</b></p>
<p>About the Commercial Excellence practice
<br>
Bain&rsquo;s B2B Commercial Excellence practice works with clients to develop a clear go-to-market (GTM) strategy: building an in-depth understanding of market opportunity, designing effective sales coverage and capacity models to attack that opportunity, and creating an industrialized sales execution capability to ensure commercial success. Coro&rsquo;s software and data solutions are an innovative and increasingly critical part of this approach. To learn more about Coro, visit https://www.coro.io/.</p>
<p><b>WHERE YOU&rsquo;LL FIT WITHIN THE TEAM</b></p>
<p>About Coro℠
<br>
The Coro ℠ business unit brings together Bain&rsquo;s proprietary suite of software-as-a-service (SaaS) and data-as-a-service (DaaS) tools, including cloud-based software, online capability assessments, and advanced analytics, focused on enabling Commercial Excellence for B2B companies.
<br>
<br>
The Impact You'll Have
<br>
Bain&rsquo;s Commercial Excellence work helps B2B companies turn market opportunity into booked revenue, through sharper go-to-market strategy, better sales coverage and capacity, and industrialized execution.</p>
<p>We are hiring an AI Engineer to join the Coro team and help build the next generation of Coro&rsquo;s products: cutting-edge software and data tools infused with AI and agentic capabilities. Working across rapid proofs of concept (POCs), MVPs, and, where appropriate, scaled production deployments, you will design and implement LLM-driven features and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely, turning raw, heterogeneous client data into the structured analytics and synthesized outputs that case teams rely on in live engagements.</p>
<p>These capabilities power Coro&rsquo;s product suite, such as MoneyMap&trade;, which builds a granular, bottoms-up view of market opportunity, and the repeatable analytics workflows behind Bain&rsquo;s B2B go-to-market work, across challenges such as opportunity mapping, indirect channel growth, and profitability analysis.</p>
<p>While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p>
<p>You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in commercial settings. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time, in keeping with Bain&rsquo;s apprenticeship model.</p><p><b><br>
</b></p><p><b>WHAT YOU&rsquo;LL DO</b></p>
<p><b>Build AI-powered tools and products that drive real business outcomes</b></p>
<div><ul><li>Design and develop GenAI applications (e.g., copilots, workflow automation, decision support for commercial teams) using modern LLM stacks.</li>
<li>Implement agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li>
<li>Design and build advanced search, retrieval, and knowledge pipelines across diverse data structures and stores (e.g., hybrid search, vector stores, graph databases / knowledge graphs, and traditional data platforms), covering indexing strategies, metadata design, relevance tuning / reranking, freshness, caching, access controls, and source attribution.</li>
<li>Build robust agent capabilities including context engineering, memory and state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li>
<li>Integrate solutions into enterprise environments and workflows (APIs, data systems, collaboration tools), balancing quality, latency, cost, privacy, and adoption.</li>
<li>Translate ambiguous client needs into clear technical requirements, tradeoffs, and delivery plans.</li>
</ul></div><p><b>Build and apply data science and machine learning capabilities</b></p>
<div><ul><li>Build ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation and testing, and performance analysis.</li>
<li>Apply the right methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li>
<li>Create reproducible training and evaluation pipelines (versioning, experiment tracking, robust validation, clear documentation).</li>
<li>Demonstrate fluency with modern deep learning concepts, including transformer fundamentals and LLM pre-training versus post-training concepts (e.g., instruction tuning and preference optimization approaches).</li>
</ul></div><p><b>Engineer for real delivery</b></p>
<div><ul><li>Write clean, testable, maintainable code and ship AI services through the full SDLC: build, test, deploy, monitor, and iterate.</li>
<li>Implement MLOps and GenAIOps practices: CI / CD, reproducibility, environment parity, model / prompt / agent versioning, and operational readiness.</li>
<li>Build evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt and policy optimization.</li>
<li>Design for secure enterprise deployment: access controls, auditability, data handling for sensitive and PII data, and responsible AI guardrails.</li>
<li>Build reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li>
</ul></div><p><b>Thrive in a client-facing consulting environment</b></p>
<div><ul><li>Communicate clearly with technical and non-technical stakeholders; lead working sessions, present recommendations, and write crisp technical documentation.</li>
<li>Work effectively with Bain consultants to prioritize the critical few technical decisions that unlock business value.</li>
</ul></div><p>Support proposal shaping and scoping: effort sizing, architecture options, risk assessment, and delivery roadmaps.</p><p><b><br>
</b></p><p><b>ABOUT YOU</b></p>
<p><b>Core engineering and AI application skills</b></p>
<div><ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.</li>
<li>3&ndash;5+ years of professional AI / ML engineering experience (or equivalent), with strong backend engineering fundamentals.</li>
<li>Strong proficiency in Python and experience building APIs / services (e.g., REST / gRPC) and integrating with enterprise systems.</li>
<li>Hands-on experience building LLM-powered applications with delivery considerations (latency, cost, reliability, security).</li>
<li>Experience building advanced retrieval / search systems (e.g., hybrid retrieval, vector search, reranking), and comfort working across multiple data stores (vector, graph, relational / document / search).</li>
<li>Experience implementing agentic patterns (context management, tool integration, orchestration, and memory / state handling), with modern frameworks (e.g., LangGraph, OpenAI Agents SDK, Pydantic AI) or custom agent loops, and strong judgment about when agentic approaches are, and are not, appropriate.</li>
<li>Experience creating reusable skills, tools, and services (including MCP) for agent use, with schema validation (e.g., Pydantic) to enforce reliable data contracts.</li>
<li>Strong engineering practices: testing, code review, version control, CI / CD, and performance profiling.</li>
</ul></div><p><b>Cloud, platform, and production delivery experience</b></p>
<div><ul><li>Experience deploying and operating services on AWS, GCP, and / or Azure (environment management, reliability, observability, scaling).</li>
<li>Experience with Docker and Kubernetes (or equivalent orchestration) and operating services in production (debugging, performance, resilience).</li>
<li>Proven ability to implement security, privacy, and governance requirements for AI systems (authentication / authorization, access controls, PII / sensitive data handling, enterprise risk controls).</li>
</ul></div><p><b>Breadth of knowledge across data science and machine learning</b></p>
<div><ul><li>Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li>
<li>Practical experience with feature engineering and data preprocessing for real-world datasets.</li>
<li>Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match the business and data constraints.</li>
<li>Familiarity with deep learning frameworks (e.g., PyTorch / TensorFlow) and ML lifecycle tooling (e.g., experiment tracking, model registry, feature store concepts).</li>
</ul></div><p><b>Delivery mindset and consulting skills</b></p>
<div><ul><li>Proven ability to operate in ambiguity and complexity, manage priorities, and deliver outcomes independently or with a collaborative team.</li>
<li>Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li>
<li>Strong stakeholder management skills; comfort working directly with clients.</li>
</ul></div><p><b>Preferred</b></p>
<div><ul><li>MBA, or PhD in a technical field.</li>
<li>Background in consulting, professional services, or B2B analytics environments.</li>
<li>Experience working with major AI ecosystem partners on real client deployments.</li>
</ul></div><p><b>U.S. COMPENSATION INFORMATION</b></p>
<p>Compensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain&rsquo;s best in class benefits package (details listed below).</p>
<p>Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:</p>
<ul><li>In Massachusetts, New York, District of Columbia, Georgia, Illinois, Texas, Washington, and California,<b> </b>the good-faith, reasonable annualized full-time salary range for this role is between <b>$128,500-$171,500</b>; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level</li></ul>
<ul><li>Annual discretionary performance bonus</li></ul>
<ul><li>This role may also be eligible for other elements of discretionary compensation</li></ul>
<ul><li>4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start date</li></ul>
<p>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</p>
<ul><li>Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul>
<ul><li>Generous paid time off, including parental leave, sick leave and paid holidays</li></ul>
<ul><li>Fully vested 401(k) company contribution</li></ul>
<ul><li>Paid Life and Long-Term Disability insurance</li></ul>
<ul><li>Annual fitness reimbursements</li></ul>
<p>For all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.</p>
<p><i>It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></p>
<p><b><i>Please </i></b><b><i>submit your resume/CV in English to be considered for this role.</i></b></p></div>

Expert Consultant, Coro, AI Engineer

TomTom

<div><p>We are looking for an Expert Applied Scientist to join the Speeds VS team, leading end‑to‑end machine learning and data-driven initiatives that improve the quality, scalability, and automation of speed limit data and map consistency.</p><div><br>
</div>
<h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<ul><li>Design and deploy ML and data-driven solutions to detect, validate, and reduce map quality issues (e.g. data drift, feature distribution shifts across countries, road classes, and sources).</li>
<li>Define and drive data analysis and model evaluation standards, including advanced and segmented performance metrics.</li>
<li>Lead the productionization of models and data pipelines, working closely with engineers and data engineers, including pipeline optimization.</li>
<li>Build and improve end-to-end automated workflows (from issue detection to resolution and closure), minimizing manual processes.</li>
<li>Perform code reviews and optimization, ensuring high-quality, production-ready solutions.</li>
<li>Mentor and guide less experienced scientists; contribute to planning and coordination of data science initiatives.</li>
</ul></div><h3 class="jobSectionHeader"><b>What You'll Need</b></h3><div>
<ul><li>4+ years of experience in data science / applied science roles (Senior level).</li>
<li>Strong expertise in machine learning (supervised, unsupervised, and dimensionality reduction techniques) and model selection.</li>
<li>Excellent Python skills and experience with large-scale data processing (e.g. Spark, big data environments).</li>
<li>Proven experience in building and deploying data pipelines and ML solutions in production.</li>
<li>Strong communication skills and ability to explain complex concepts to both technical and non-technical stakeholders.</li>
</ul></div><h3 class="jobSectionHeader"><b>What's Nice to Have</b></h3><div>
<ul><li>Experience with geospatial or road network data.</li>
<li>Experience with ML experimentation and monitoring tools (e.g. MLflow, Databricks).</li>
<li>Experience in Java and related technologies</li>
</ul></div><div><b>What we offer<br>
</b></div><div></div><br>
<div>A competitive compensation package, of course.</div><div></div><div><br>
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O&rsquo;Reilly and LinkedIn Learning.</div><div></div><div><br>
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.<br>
</div><div></div><br>
<div>Work flexibility, where TomTom&rsquo;ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It&rsquo;s all about getting the best out of both worlds &ndash; we ask TomTom&rsquo;ers to come to the office two days a week, and the remaining three are free to be worked in either location.</div><div></div><div><br>
Improve your home office with a setup budget and get extra support with a monthly allowance.</div><div></div><div><br>
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we&rsquo;re mapping.</div><div></div><div><br>
Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.</div><div></div><div><br>
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.</div><div></div><div><br>
Become a part of our inclusive global culture and have the chance to collaborate with a diverse community &ndash; we have over 80 nationalities at TomTom!</div><div></div><div><br>
Find out more about our global benefits and enjoy additional local benefits tailored to your location.</div><div></div><div><b><br>
Meet your team</b></div><div></div><div><br>
We&rsquo;re Maps, a global team within TomTom&rsquo;s Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you&rsquo;ll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.</div><div></div><div><b><br>
At TomTom...</b></div><div></div><div><br>
You&rsquo;ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.</div><div></div><div><br>
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we&rsquo;ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.</div><div></div><div><b><br>
After you apply</b></div><div></div><div><br>
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.</div><div></div><div><b><br>
TomTom is an equal opportunity employer</b></div><div></div><div><br>
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, <i>you</i>. No matter your culture or background, you&rsquo;ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we&rsquo;d love to hear from you.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Expert Applied Scientist

<div><b>Company Description</b><p><br>
Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We&rsquo;re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.</p><b><br>
Job Description</b><p><b><br>
What you will do</b><br>
As an expert in the field of Machine Learning Engineering you will be responsible for the growth of our Data team, both professionally as well as in size. You will be in charge of shaping and executing the future of your expertise within Sia. You will work on client projects as well as on building our own Sia AI solutions, together with our Dutch team of Data Scientists, our French Data Engineering team, and other business units of Sia Global.</p><p>
Your responsibilities include:</p><ul><li>
Leading an internal team towards the development of AI products;</li><li>
Working in a multidisciplinary team on client projects as an expert on your subject;</li><li>
Making architectural and design decisions for cloud environments;</li><li>
Building production level ML/AI solutions with solid software engineering;</li><li>
Guiding Data Scientists to scale up their models into production (parallelizing, optimizing, tuning, testing, and wrapping);</li><li>
Giving trainings, leading internal meetings and organizing external events;</li><li>
Participating in team meetings and workshops with clients;</li><li>
Writing blog articles, presenting at conferences and sending out press releases on the subject that you lead.</li></ul><p><b>
Who you will work with</b><br>
The Data Science team is young, diverse and growing (10+). You will join a team that will challenge you and invest in your professional development. We have a flat structure and rely on the entrepreneurial spirit of our members: initiative is highly encouraged. We are striving for well-being, diversity and knowledge-sharing inside the team, so that we can grow together.</p><p><b>
Who you are</b></p><ul><li>
You are an established technical professional that wants to make the next step in their career, taking on more leadership responsibilities.</li><li>
You have first-rate project management and time management skills.</li><li>
You are a true problem solver, you turn complex issues into simple and impactful business solutions.</li><li>
You are enthusiastic for applying Data Science/Engineering solutions to business problems.</li><li>
You have excellent communication skills and can present complicated concepts in a synthetic way.</li><li>
You have the ability to adapt rapidly and work on a range of different business areas within a challenging environment.</li><li>
You have the ability to work collaboratively in a team environment.</li></ul><p><b>
In return, you can expect:</b></p><ul><li>
An international company that gives importance to diversity, inclusion, employee well-being and corporate social responsibilities actions.</li><li>
A great working atmosphere with friendly and professional colleagues where innovation and entrepreneurship are encouraged</li><li>
A personal development plan with a regular follow-up as well training opportunities to develop yourself</li><li>
A competitive salary with great advantages, like mobility budget, hospital insurance, performance -related bonus,...</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
MSc level education in Computer Science, Applied Mathematics, Artificial Intelligence, Embedded Systems or related field of study.</li><li>
2-4 years of experience in building production-quality ML/Deep Learning pipelines and models.</li><li>
Good understanding of Machine Learning fundamentals and strong knowledge in a specific domain (e.g., Computer Vision, Deep Learning, NLP).</li><li>
Expert coding skills in Python and at least one of these languages: Scala, C++, Java.</li><li>
Hands-on experience with database management languages (e.g., SQL, PostgreSQL).</li><li>
Hands-on experience in cloud-based infrastructures (AWS/GCP/Azure).</li><li>
Hands-on experience with Unix-based command line and DevOps tools (Git, Docker, Kubernetes).</li><li>
Hands-on experience with big data technologies (e.g. Spark, Hadoop, Databricks).</li><li>
You have a strong interest in data and AI-related topics, the ability to quickly build expertise in these areas, and you&rsquo;re excited about helping our clients seize the opportunities they offer.</li><li>
Experience with coaching/mentoring other engineers.</li><li>
Prior experience in Management Consulting is a strong plus.</li><li>
Willingness to travel and work at local and international clients.</li><li>
Fluency in spoken and written English and Dutch is required.</li></ul><br>
<b>
Additional Information</b><p><br>
We are unable to provide a work permit for this position</p><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p><div></div><p>
Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.</p></div>

Machine learning Engineer

Explore 80+ Ml engineer in Amsterdam this July. Find roles across top companies and apply now to boost your career.

80 ml engineer jobs In Amsterdam

Applied AI/ML Engineer (Agents)

Data & ML Infrastructure Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Expert Consultant, Coro, AI Engineer

Expert Applied Scientist

Machine learning Engineer