7 companies hiring remote ML Engineers in Luxembourg. Work from anywhere with these 8 job openings.

Machine Learning Engineer

Over the last decade, we have witnessed numerous breakthroughs in neuroscience, cognitive sciences, artificial intelligence, simulation, robotics, and other related fields. 
At Neo Cybernetica, we are leveraging these recent breakthroughs to create novel cybernetics technology to push the boundaries of what artificially intelligent systems are capable of achieving both autonomously and in collaboration with humans.
We will remain in stealth mode until our technology grows sufficiently advanced, but we are already supported by world-class investors and are building an interdisciplinary team of people excited to make technological breakthroughs at the very edge of human knowledge.

Neo Cybernetica

As a Machine Learning Engineer, you will apply cutting-edge research in AI/Robotics to solve real world problems. Your primary responsibility will be to design and implement algorithms for creating world models. You will have plenty of opportunities to apply tools in new and unique ways or design new algorithms as needed. In this role, you will work directly on the core technology of our company. You will have opportunities to see the results of your work both in real and virtual worlds.

Hugging Face

• Developing modern web applications using React, Node.js, and other modern frameworks/tools 
• Collaborating with cross-functional teams to define, design, and ship new features 
• Writing clean, maintainable, and efficient code 
• Participating in code reviews to maintain code quality 
• Identifying and rectifying any code quality issues 
• Investigating new technologies and methodologies to improve the product and development processes

Cloud Machine Learning Engineer - EMEA remote

Printify is the technology platform that makes it possible for anyone anywhere to sell customized merchandise without the hassle and risks of having to hold inventory, negotiate contracts, or fulfill orders around the world. Because Printify works on an on-demand basis, sellers are not charged until an order is made, meaning anyone can become an overnight entrepreneur and start selling with minimal risk. So far, more than 3 million people have signed up to build businesses by putting their designs on the 700+ customizable, high-quality products in the Printify catalog. This has generated tens of millions of orders that are fulfilled by the 75+ world-leading print houses in Printify’s trusted global network. With offices in Riga and Tallinn, and a team of over 650 people spread around the globe, Printify is a customer-obsessed company helping to create new revenue streams for millions of people.
Our mission is to empower entrepreneurs to build their own businesses, independently. 
We created Printify to break down the needlessly complex print and merch industry so that creative minds, time-strapped entrepreneurs and everyone in between can do what they do best: create great products, drive sales, and run their own business. 

Our print-on-demand platform has been on a steep growth curve, more than doubling our employee count during 2020 due to high demand. Financial Times ranked Printify as the 15th fastest-growing technology company in the USA in 2020. Printify is headquartered in Riga with 600 employees and counting, backed by leading angel investors from Silicon Valley and Europe.

Printify

At Printify, we are working to be the best platform that lets anyone start an e-commerce business with no investment or risk. To get there, we are looking for an exceptionally driven and innovation-obsessed Machine Learning Operations Engineer who can lead in a greenfield AI space and operationalize scalable machine learning products.

Our Machine Learning team is tasked with shaping and delivering customer-centric machine learning products that help our partners and Printify operations to be more accurate and efficient, and generate for our customers relevant and high-quality text, images, and videos. 

As a Machine Learning Operations Engineer, you will have opportunities to build scalable architecture and automate Machine Learning deployment pipelines that use and fine-tune state-of-the-art computer vision and large language models, and reduce their time-to-market. Working closely with data scientists, data engineers, and software engineers, you will have the opportunity to build and influence our machine learning workflows. 



Machine Learning Ops Engineer (EMEA Time Zone - Remote)

At Printify, we are working to be the best platform that lets anyone start an e-commerce business with no investment or risk. To get there, we are looking for an exceptionally driven and innovation-obsessed Machine Learning Product Manager who can lead in a greenfield AI space and build scalable generative machine learning products. Our Generative Machine Learning team is tasked with shaping and delivering customer-centric machine learning products that generate relevant and high-quality text, images, and videos. As a Machine Learning Product Manager, you will have opportunities to build machine learning products that use and fine-tune state-of-the-art computer vision and large language models. Working closely with product managers, data scientists, and engineers, you will have the opportunity to influence the long-term evolution of our machine learning roadmap. Your responsibilities:
• You will own our AI-driven customer journey
• You will drive generative machine learning product development
• You will create, synthesize, align, and communicate roadmap, requirements, progress, and recommendations to audiences of varying levels of technical sophistication
• You will think big and long-term: you’ll identify specific and actionable opportunities to solve business challenges through generative ML and collaborate with engineering, product, and business leaders for future innovation
• You will coordinate and motivate a multidisciplinary team of data scientists, ML Ops engineers, data engineers and software engineers
• You will spread ML culture across the company and onboard us on the new challenges

Machine Learning Product Manager (EMEA Time Zone - Remote)

We offer technical, end-to-end services.

From idea to execution, our solution-driven team will go above-and-beyond to make sure you’re getting the value you need to help you grow digitally.

PRODUCT DEVELOPMENT | USER ACQUISITION | BUSINESS AUTOMATION | DEVOPS | BIG DATA

Outliant

• Lead the design, development, and implementation of data science projects
• Identify business problems, define project goals, and develop solutions.
• Manage data pipelines, including acquisition, cleaning, integration, and transformation.
• Develop machine learning models, select appropriate algorithms, preprocess and clean data, tune hyperparameters, and evaluate model performance.
• Effective communication with leaders and other departments, presenting data science solutions, providing insights, and making recommendations.
• Understand data privacy and security regulations and implement appropriate controls to protect data.

Senior Python Data/Machine Learning Engineer

Since 2012, Trail of Bits has helped secure some of the world’s most targeted organizations and products. We combine high-­end security research with a real­ world attacker mentality to reduce risk and fortify code.

Trail of Bits

Trail of Bits is hiring a Senior Assurance Engineer – Machine Learning to be a part of a new machine learning assurance team that aims to identify and taxonomize classes of failure modes which directly impact ML model performance, as well as novel hazards and threats that can compromise the ML operations pipeline for our clients. The role includes research and development of machine learning assurance frameworks and contributing to the shape of the new field of ML auditing and assurance. It also involves carrying out risk assessments and threat modeling on machine learning model capabilities and their failure modes, and working directly with leading industry teams to review system code and architecture while helping assure their products through system analysis and modeling. The estimated salary for this full-time W2 employee in the US is $175,000-$225,000, not including bonus and benefits.

Senior Assurance Engineer – Machine Learning

Founded in 2017, Redesign Science is a platform biotech working at the interface of physics-based molecular simulation and deep learning to create generative AI for drug discovery. We deploy our platform technology to develop first-in-class Protein Interaction Modulators against validated targets known to drive progression of multiple oncogenic and inflammatory diseases.

Redesign Science

• Design, implement and integrate systems and pipelines for developing, training, and testing ML and MD methods at scale 
• Productionize and scale machine learning models, physical simulations, and combined workflows 
• Integrate ML systems with data pipelines for seamless data flow and processing across our entire infrastructure 
• Work with the team to identify areas for improvement and optimization within our existing ML and MD systems 
• Help shape the future growth and direction of our methodology and engineering teams 
• Excellent software engineering skills and familiarity with development best practices 
• Excellent knowledge of the Python programming language and relevant libraries 
• Experience with modern ML systems, models and frameworks 
• Experience with data infrastructure and engineering at scale 
• Experience with workflow orchestration, MLOps, and machine learning pipelines 
• Experience with continuous integration and continuous deployment tools and practices 
• Excellent communication skills, able to present complex concepts effectively

Who we are 👋One of UK's fastest-growing tech recruitment startups, founded in 2019.Since our launch, we've helped scale over twenty engineering, product & science companies and expanded our team from three founders to a team of ten recruiters within 12 months! We’ve built teams working on cool products such as Driverless Cars; Healthcare AI; cutting edge Financial Trading, E-commerce, Ad Tech platforms and much much more. We’ve got an exciting journey ahead of us, if you want to be a part of our mission to redefine team building - then please get in touch!Our Mission 💯Redefining team building for smarter scaling. We are your answer to building teams that have the power to transform your companyWe build superb Engineering, Product and Science teams. We’ve delivered growth programmes to some of the most impactful tech companies across Europe, who delight millions of users across the globe. We’re led by experienced internal recruiters. We’re results-oriented. We don’t waste time. We care about our candidates and their experience with you. We are techruiter.🖥 - www.techruiter.io 

techruiter.

• Work with a team of engineers to develop new features for Mavenoid, helping customers get better support for their hardware devices.
• Interpret user questions and problems to help fill the semantic gap.
• Process data and assess new NLP models to build and improve the set of features in the products.
• Work from exploration to delivery in cloud services.
• Take care of employees' wellness and professional growth.
• Equity is covered by the EMI scheme.

Mavenoid - Machine Learning Engineer

7 companies hiring remote ML Engineers in Luxembourg. Work from anywhere with these 8 job openings.. Machine Learning Product Manager (EMEA Time Zone - Remote). Senior Python Data/Machine Learning Engineer. Senior Assurance Engineer – Machine Learning. Machine Learning Engineer. Mavenoid - Machine Learning Engineer

8 Remote Machine Learning Engineer Jobs in Luxembourg

7 companies hiring remote ML Engineers in Luxembourg. Work from anywhere with these 8 job openings.

Machine Learning Engineer

Neo Cybernetica

Cloud Machine Learning Engineer - EMEA remote

Hugging Face

Machine Learning Ops Engineer (EMEA Time Zone - Remote)

Printify

Machine Learning Product Manager (EMEA Time Zone - Remote)

Printify

Senior Python Data/Machine Learning Engineer

Outliant

Senior Assurance Engineer – Machine Learning

Trail of Bits

Machine Learning Engineer

Redesign Science

Mavenoid - Machine Learning Engineer

techruiter.