machine learning engineer

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Machine Learning Engineer

Abaka AI

<div>
 
 About Abaka AI
 
 
 
 Abaka AI is built on one mission: to be the world&rsquo;s most trusted data partner for AI companies. More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley&mdash;and teams in Paris, Singapore, and Tokyo&mdash;we support global partners with fast, reliable, and scalable data solutions.
 
 
 Our offerings include a diverse catalog of off-the-shelf datasets (image, video, multimodal, reasoning, 3D, and beyond) as well as comprehensive data collection and annotation services. Whether teams need raw data, curated datasets, or full-cycle data engineering, Abaka AI provides the foundation for building high-performance AI systems.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own the design and development of scalable training pipelines, work directly with our data engineering and research teams, and help drive the technical roadmap for model development across multiple modalities.
 
 
 As an early member of the engineering team, you will influence core decisions around model training strategy, experimentation frameworks, distributed infrastructure, and internal best practices. Your work will directly impact the performance of frontier models trained on Abaka datasets and will help elevate the technical bar for our clients and partners.
 
 
 If you thrive in high-ownership environments and want to shape the machine learning foundation of a fast-moving AI company, this role offers an opportunity to make an immediate and lasting impact.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and optimize scalable machine learning pipelines for multimodal model training, fine-tuning, and evaluation across text, image, audio, video, and 3D data.
 </li>
 <li>
 Work closely with data engineering and research teams to develop efficient data workflows, including collection, preprocessing, annotation, versioning, and model integration.
 </li>
 <li>
 Implement and refine training strategies for large-scale AI systems, including vision, video, and diffusion models, ensuring reproducibility, efficiency, and strong model performance.
 </li>
 <li>
 Develop tools and automation frameworks that accelerate model experimentation, hyperparameter tuning, and deployment.
 </li>
 <li>
 Identify and address performance bottlenecks in data or training pipelines to improve throughput, stability, and resource utilization.
 </li>
 <li>
 Collaborate with product and infrastructure teams to ensure smooth integration of model outputs into both internal and client-facing applications.
 </li>
 <li>
 Support internal best practices for model governance, experiment tracking, and documentation to maintain high engineering standards and reproducibility.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong academic background in computer science, artificial intelligence, machine learning, or related fields. Master&rsquo;s degree or Ph.D. is preferred.
 </li>
 <li>
 3+ years of experience in applied machine learning or ML engineering, with a demonstrated ability to deliver production-ready models or pipelines.
 </li>
 <li>
 Proficient in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, with hands-on experience in large-scale distributed training and inference systems.
 </li>
 <li>
 Familiarity with multimodal data processing (e.g., text-image pairing, video understanding, speech-audio modeling) and dataset optimization for model training.
 </li>
 <li>
 Solid understanding of ML system design, including feature pipelines, data loaders, model serving, and evaluation frameworks.
 </li>
 <li>
 Experience with modern infrastructure tools such as Kubernetes, Ray, Airflow, or MLflow, along with cloud-based training environments (AWS, GCP, Azure).
 </li>
 <li>
 Excellent communication and collaboration skills, capable of working effectively across engineering, research, and product teams to accomplish shared goals.
 </li>
 <li>
 Self-driven and adaptable, comfortable operating in a fast-paced startup environment, and able to demonstrate strong ownership and urgency in execution.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 The base salary range for this position is $175,000 - $275,000 USD annually.
 
 
 Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Abaka AI. This role is eligible for equity, as well as a comprehensive benefits package (health, dental, vision, PTO, flexible work schedule).
</div>

Klanik

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
 
 
 
</div>

ALTEN

<div>
 
 
 The Position
 
 
 
 Join ALTEN Nederland as a
 
 Senior Data Scientist / Machine Learning Engineer
 
 in the
 
 AdTech &ndash; Customer Tech Platform &ndash; Orchestration
 
 team. You&rsquo;ll work on a
 
 scalable retail media SaaS platform
 
 for global brands helping advertisers optimize campaigns across digital and physical channels.
 
 
 This role focuses on
 
 production-grade machine learning systems
 
 ,
 
 Generative AI
 
 ,
 
 RAG
 
 , and
 
 agentic AI concepts
 
 . You&rsquo;ll contribute to our
 
 AI strategy roadmap
 
 while ensuring quality, governance, and operational feasibility.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, maintain, and improve
 
 cutting-edge data science solutions
 
 for intelligent retail media capabilities.
 </li>
 <li>
 Perform
 
 data analysis and reporting
 
 to support product, business, and technical decision-making.
 </li>
 <li>
 Collaborate with
 
 Data Scientists, Backend Developers, QA Engineers, and Product stakeholders
 
 in multidisciplinary teams.
 </li>
 <li>
 Assess
 
 GenAI applications
 
 for the retail media platform, focusing on
 
 quality, governance, and operational feasibility
 
 .
 </li>
 <li>
 Contribute to
 
 agentic AI concepts
 
 , including
 
 API integrations, tool use, and autonomous system workflows
 
 .
 </li>
 <li>
 Establish
 
 evaluation practices
 
 for AI systems, such as
 
 prompt evaluation, LLM-as-a-judge, and hallucination monitoring
 
 .
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 Extensive experience as a
 
 Data Scientist, Machine Learning Engineer, or Python Developer
 
 in production-grade systems.
 </li>
 </ul>
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Strong
 
 Python development skills
 
 with experience in
 
 GitHub and CI/CD practices
 
 .
 </li>
 <li>
 Full lifecycle expertise in
 
 machine learning/data science services
 
 , including
 
 experimentation, deployment, monitoring, and maintenance
 
 .
 </li>
 <li>
 Strong
 
 data analysis skills
 
 with the ability to translate insights into
 
 product and business decisions
 
 .
 </li>
 <li>
 Familiarity with
 
 agentic AI
 
 , including
 
 tool use, function calling, API integration, and autonomous system risks
 
 .
 </li>
 <li>
 Experience with
 
 AI evaluation methods
 
 , such as
 
 prompt testing, LLM-as-a-judge, and drift monitoring
 
 .
 </li>
 <li>
 Knowledge of
 
 API integrations
 
 (GraphQL, OAuth, Keycloak) and
 
 event-driven architectures
 
 (Java/Kotlin is a plus).
 </li>
 </ul>
 
 
 
 
 
 Language:
 
 
 <ul>
 <li>
 Fluent in
 
 English
 
 (required).
 </li>
 </ul>
 
 
 
 
 
 Working Conditions
 
 
 <ul>
 <li>
 
 Location:
 
 Hybrid,
 
 1 day per week in presence
 
 .
 </li>
 <li>
 
 Type:
 
 Permanent contract.
 </li>
 <li>
 
 Team:
 
 AdTech &ndash; Customer Tech Platform &ndash; Orchestration.
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 <ul>
 <li>
 Contribute to a
 
 scalable retail media SaaS platform
 
 used by global brands.
 </li>
 <li>
 Shape the future of
 
 AI-driven retail media
 
 with Generative AI, RAG, and agentic AI.
 </li>
 <li>
 Work in
 
 multidisciplinary teams
 
 with Data Scientists, Developers, and Product stakeholders.
 </li>
 <li>
 Develop
 
 production-grade AI solutions
 
 and advance your career in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 About ALTEN
 
 
 
 ALTEN is a global leader in
 
 engineering and technology consulting
 
 , driving innovation across industries. We empower professionals to tackle complex challenges and grow their careers. Join us and be part of a team that&rsquo;s shaping the future!
 
 
 
 
 
 
 Ready for a new challenge?
 
 Apply now and let&rsquo;s build the future of retail media together! 🚀
 
 
 #DataScience #MachineLearning #AI #RetailMedia #ALTENCareers #HybridWork #ZaandamJobs
 
</div>

Dezzex

Who we are?Dezzex uses Artificial Intelligence and Machine Learning technologies to advance the motor insurance industry by creating a system to automate claims. We use these technologies to improve insurance processes, reduce operational costs and enable a seamless customer experience. Our solution offering is also designed for the insurance companies, Insurance companies, Smart cities application.For applying as a Sr. Machine Learning Engineer, the person should have overall 7-8 years of experience out of which 4-5 years of experience should be in Machine &amp; Deep Machine learning. Especially using Convolution Neural Network (CNN), Image Analytics TensorFlow, Open CV etc.For applying as just a data scientist (Junior), the person needs to have experience of 3 - 9 years.With our fast-growing data scientist's team, we are looking to hire self-motivated smart individuals who are willing to take challenges in the field of Al image &amp; video analytics &amp; machine learning.Responsibilities:The Machine &amp; Deep Machine Learning Software Engineer (Expertise in Computer Vision) will be an early member of a growing team with responsibilities for designing and developing highly scalable machine learning solutions that impact many areas of our business.The individual in this role will help in the design and development of Neural Network (especially Convolution Neural Networks) &amp; ML solutions based on our reference architecture which is underpinned by big data &amp; cloud technology, micro-service architecture and high performing compute infrastructure.Typical daily activities include contributing to all phases of algorithm development including ideation, prototyping, design, and development production implementation.Required Skills:An ideal candidate will have background in software engineering and data science with expertise in machine learning algorithms, statistical analysis tools, and distributed systems.Experience in building machine learning applications, and broad knowledge of machine learning APIs, tools, and open source librariesStrong coding skills and fundamentals in data structures, predictive modelling and big data concepts Experience in designing full stack ML solutions in a distributed compute environmentExperience working with Python, Tensor Flow, Kera's, Sci-kit, pandas, NumPy, AZURE, AWS GPU Excellent communication skills with multiple levels of the organizationPay: AED10,000.00 - AED20,000.00 per monthExperience:<ul><li>ML: 3 years (Required)</li><li>Development: 5 years (Required)</li></ul>Language:<ul><li>Arabic (Preferred)</li></ul>Work Location: In person

Sr. Machine learning engineer.

GrowthRatio Solutions

AI / Machine Learning EngineerWorking ScheduleLocation: On-siteMon-Friday, 11:00AM-8:00PMJob DescriptionWe are looking for a Senior AI / Machine Learning Engineer to design, build, deploy, and maintain production-grade machine learning solutions. The ideal candidate has strong expertise in demand forecasting, predictive analytics, and time series modeling, with the ability to develop scalable ML models that solve real business problems.This role covers the full ML lifecycle, from data preparation and model development to deployment, monitoring, optimization, and ongoing production maintenance.Required Skills<ul><li>- Advanced Python programming</li><li>- Machine Learning model development</li><li>- Demand Forecasting and Predictive Analytics</li><li>- Time Series forecasting</li><li>- Scikit-learn, XGBoost, LightGBM, Prophet, or similar libraries</li><li>- Model evaluation and optimization (MAPE, RMSE, Accuracy, etc.)</li><li>- Feature engineering and data preprocessing</li><li>- Strong analytical and problem-solving skills</li></ul>Required Experience5+ years of Machine Learning experience - Experience deploying and maintaining ML models in production - Experience with forecasting and predictive analytics projects - Experience building production-ready AI/ML systems - Retail, inventory, ERP, or supply chain experience is a strong advantageWhatsapp: +92 3173036343 Location: Clock Tower Bahria Phase 7 RawalpindiPay: From Rs170,000.00 per monthWork Location: In person

AI / Machine Learning Engineer

Search 3530+ Machine learning engineer jobs near you this July. New roles added regularly across leading industries. Apply today.

3530 machine learning engineer jobs Near Me

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Sr. Machine learning engineer.

AI / Machine Learning Engineer