Freelance Machine Learning Engineer

Toloka AI is looking for a Freelance Machine Learning Engineer to join on a contract basis. This remote role is open to candidates based in Sweden and centers on contributing to projects in machine learning and data analytics. Key responsibilities Work closely with teams to advance machine learning initiatives Use data analytics to address practical problems Support the development and improvement of AI solutions Work arrangement This freelance position is fully remote, but applicants must reside in Sweden.

Role overview toloka-ai is hiring a freelance Machine Learning Developer for a remote contract role based in Sweden. This position centers on building machine learning solutions that address practical needs, working as part of a collaborative team. What you will do Develop and implement machine learning models for use in real-world scenarios Collaborate with other professionals to design and deliver technical solutions Apply expertise within a team focused on applied machine learning Location This role is fully remote but open only to candidates currently located in Sweden.

Join our dynamic team at Devoteam as a Senior to Principal Machine Learning / AI Engineer, where your expertise in cutting-edge technology will drive innovation and excellence. You will collaborate with talented professionals to develop and implement advanced machine learning solutions that address real-world challenges.

Join Modal as a Forward Deployed Engineer specializing in Machine Learning, where you will become a pivotal member of our innovative team. You will work closely with clients, leveraging your expertise to implement and optimize machine learning solutions that drive business success.

Join Spotify as a Senior Machine Learning Engineer, specializing in our Generative UI Platform. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences by developing cutting-edge generative models. You will collaborate with cross-functional teams to innovate and implement solutions that redefine how users interact with our platform.

Join Us as a Senior Machine Learning Engineer!Be a Part of AI & Data TransformationAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your Role and ResponsibilitiesAs a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.Key ResponsibilitiesRequirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.Generative AI: Harness generative AI to create groundbreaking solutions.Optimization: Enhance machine learning solutions for optimal performance and scalability.Custom Implementation: Develop tailored machine learning code to address specific requirements.Data Engineering: Facilitate efficient data flow between databases and backend systems.MLOps: Automate ML workflows, emphasizing testing and deployment practices.

Role Overview H&M Group is looking for a Lead Machine Learning Engineer in Stockholm. This role guides a team of engineers and shapes the company’s approach to artificial intelligence and machine learning. The position focuses on developing new algorithms and deploying machine learning solutions that improve the customer experience and support data-driven decisions across the business. What You Will Do Lead and mentor a team of machine learning engineers Design and develop advanced algorithms for real-world applications Implement machine learning models that impact customer experience Support data-driven strategies and help optimize business processes Location This position is based in Stockholm.

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes.Our innovative architecture (BDH) surpasses traditional Transformer models, offering enterprises unparalleled insight into model functionality. By merging our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend incremental improvements and achieve truly contextualized, experience-driven intelligence. Trust from esteemed clients such as NATO, La Poste, and Formula 1 racing teams underscores our impact.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoffrey Hinton at Google Brain, and CSO Adrian Kosowski, a leading computer scientist and quantum physicist who earned his PhD at 20.Headquartered in Palo Alto, California, Pathway is supported by prominent investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model and a key researcher behind OpenAI’s reasoning frameworks.The OpportunityWe are seeking a talented Machine Learning DevOps Engineer with a strong background in cloud and compute cluster management, infrastructure scaling, and Linux administration. Our development, ML training, and production environments operate in the cloud, utilizing several major cloud service providers. Your role will be pivotal in managing and automating processes while scaling our infrastructure to meet the demands of our expanding team and production needs.Your ResponsibilitiesOptimize infrastructure for machine learning training and inference (e.g., GPUs, distributed computing).Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).Manage model versioning, ensuring reproducibility and traceability.Handle terabyte-scale datasets.Implement CI/CD practices tailored to machine learning.Monitor model performance and manage data drift in production.Collaborate with machine learning engineers, software developers, and platform teams.This role emphasizes the operationalization of machine learning models, guaranteeing scalability, reliability, and automation throughout the ML lifecycle.What We Are Looking ForStrong familiarity with Linux, shell scripts, and cluster configuration as foundational tools.Proficiency in workload management, containerization, and orchestration (e.g., Slurm, Docker, Kubernetes).Solid understanding of CI/CD tools and workflows (e.g., GitHub Actions, Jenkins).

Join Toloka AI as a Freelance Agent Evaluation Engineer, where you will play a crucial role in enhancing our AI models through your expertise. This position is fully remote, allowing you to work from anywhere in Sweden. You will evaluate and provide feedback on agent performance, ensuring our systems deliver optimal results.

Please submit your CV in English and specify your English proficiency level. Toloka AI offers project-based freelance roles for specialists in artificial intelligence. The company focuses on testing, evaluating, and improving AI systems for major technology clients. This particular position is freelance and project-based, not a permanent employment offer. Role overview The Freelance Optical Engineer - AI Trainer works on projects that involve designing optical and physics problems for AI training. Assignments often include: Developing original optical problems that reflect real-world research workflows in physics Creating computationally intensive challenges unsuitable for manual solving Formulating problems requiring advanced reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics Referencing real research challenges or practical applications in optics and physics Writing clear problem statements and supplying accurate, validated solutions Requirements Degree in Physics (theoretical, experimental, or computational) or a closely related field Minimum of 2 years of professional experience in applied, research, or teaching roles Strong background in numerical simulation methods Ability to design problems that mirror real research workflows in physics Creative approach to problem design across multiple physics domains Familiarity with physics modeling and approximation techniques Excellent written English skills (C1 level or above) Application process Apply Pass qualification(s) Join a project Complete assigned tasks Receive payment Project commitment During active project phases, contributors usually dedicate 10–20 hours per week. Actual workload depends on project needs and is not guaranteed outside of active periods. Compensation Contributors may earn up to $45 per hour, depending on experience and project pace. Rates vary by project scope, complexity, and required expertise. Other projects on the platform may offer different compensation based on their specific requirements.

Join Sopra Steria as an AI Engineer in the vibrant city of Stockholm, where you'll have the opportunity to contribute to cutting-edge projects that leverage artificial intelligence to drive innovation and efficiency. You will work closely with a talented team of engineers and data scientists to develop intelligent solutions that address complex challenges and enhance business processes.

About PathwayPathway is revolutionizing artificial intelligence with its pioneering post-transformer model that mimics human thought processes.Our groundbreaking architecture (BDH) surpasses traditional Transformer models, providing enterprises with comprehensive insights into model functionality. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental improvements and embrace genuinely contextualized, experience-driven intelligence. Trusted by prestigious entities like NATO, La Poste, and Formula 1 teams, we are at the forefront of technological advancement.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI visionaries such as CTO Jan Chorowski, who pioneered Attention in speech processing and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at 20.With backing from esteemed investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model behind ChatGPT and a key figure at OpenAI, Pathway operates out of Palo Alto, California.The OpportunityWe are seeking a passionate Senior ML Infrastructure / DevOps Engineer who thrives on optimizing Linux environments, distributed systems, and GPU cluster scalability over traditional notebook usage. You will be responsible for the infrastructure that drives our machine learning training and inference workloads across diverse cloud platforms, managing everything from basic Linux setups to advanced container orchestration and CI/CD pipelines.Your role will be integral to the R&D team, focusing on production infrastructure, including clusters, networks, storage, observability, and automation. Your contributions will directly influence the speed and efficiency of model training, deployment, and iteration.Why This Role is UniqueManage and scale GPU-intensive clusters utilized daily by the R&D team for high-scale training and rapid inference.Design, build, and automate our ML platform, moving beyond the execution of predefined playbooks.Collaborate across multiple major cloud providers to tackle intriguing challenges in networking, scheduling, and cost/performance optimization at scale.Your ResponsibilitiesArchitect, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queue management, quota management).Automate infrastructure provisioning and configuration using infrastructure-as-code (Terraform, CloudFormation, cluster tooling) and configuration management techniques.Create and uphold robust ML pipelines (data ingestion, training, evaluation, deployment) with strong assurances around reproducibility, traceability, and rollback capabilities.Implement and maintain monitoring and observability solutions to ensure maximum uptime and performance.

Role overview Mindrift seeks a Freelance DevOps Engineer to support automation systems for the Tendem project. This part-time contract focuses on building and maintaining infrastructure that enables automation workflows in a hybrid AI and human environment. The internal title for this position is AI Pilot. Work is fully remote, with the role based in Sweden. What you will do Design and maintain infrastructure for automation pipelines Collaborate with Tendem Agents to improve reliability and performance Support smooth operation of automation workflows in high-load scenarios Requirements Experience with cloud infrastructure Comfort with system deployment and managing automation systems under heavy load Interest in part-time, remote freelance work

About SanaAt Sana, we are pioneering the development of superintelligent AI for the workplace. Our vision is to empower organizations to achieve their goals with greater speed and efficiency by enabling seamless access to knowledge, automating repetitive tasks, and facilitating continuous learning through advanced agentic AI. As a proud member of the Workday family, we aim to create AI technologies that enhance human capabilities rather than replace them.Our mission is realized through two innovative products: Sana Agents, which offer a streamlined interface for accessing your organization's applications, knowledge, and data, allowing AI agents to perform real work and enabling teams to manage information at an unprecedented scale; and Sana Learn, an AI-driven learning hub that merges the ease of modern educational platforms with smart features such as an AI tutor, automated content generation, and interactive applications, transforming knowledge into actionable insights.We are a dynamic, product-focused team of engineers and designers with backgrounds at leading companies such as Google, Spotify, Apple, and Databricks. United by our commitment to technical excellence and rapid innovation, our tools currently support over a million users in enhancing their learning and work processes across numerous top-tier enterprises, and our journey is just beginning.About the RoleIn this role, you will play a pivotal role in developing the foundational agent infrastructure that drives Sana's mission to integrate superintelligence into the workplace. This is a unique opportunity to shape how AI agents strategize, reason, and execute tasks in complex enterprise environments—creating systems that effectively manage real-world complexities at scale. Your work will span agent architecture, context management, tool integration, and production infrastructure.In This Role, You WillDesign multi-step planning, orchestration, and tool routing systems for agents.Develop code generation agents and implement sandboxed code execution.Engineer strategies for memory, state management, and context grounding.Optimize for latency, quality, and cost in agent execution.Create safe fallback mechanisms, ensure graceful degradation, and establish robust error handling protocols.Collaborate with platform and search teams to build reusable agent infrastructure.Set safety standards and quantifiable quality benchmarks.What Success Looks LikeAgent architectures are resilient, dependable, and enterprise-ready.Context and memory management strategies are efficient and effective.

Join Sopra Steria as an AI Engineer and be part of a dynamic team that drives innovation through artificial intelligence technology. In this role, you will have the opportunity to work on cutting-edge projects that harness the power of AI to transform businesses and enhance customer experiences.

We invite you to submit your CV in English, along with your English proficiency level.Mindrift serves as a bridge connecting specialized professionals with project-based opportunities in artificial intelligence for top-tier tech companies, concentrating on the testing, assessment, and enhancement of AI systems. Please note that participation is based on projects, rather than permanent employment.Project OverviewEach project presents unique challenges, where contributors may be tasked with:Creating original computational physics problems that replicate authentic physics research workflows;Designing problems necessitating Python programming solutions (utilizing libraries such as Numpy, SciPy, and Sympy);Ensuring problems are computationally intensive, requiring days or weeks to solve manually;Formulating problems that involve complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in genuine research obstacles or real-world applications within the field of physics;Validating solutions using Python with standard physics simulation libraries;Thoroughly documenting problem statements and providing verified correct answers.Ideal Candidate ProfileThis opportunity is perfect for optical engineers experienced in Python who are open to part-time, non-permanent roles. The ideal candidates will possess:A degree in Physics (Theoretical, Experimental, or Computational) or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or any programming language can be considered equivalent;Over 2 years of professional experience in applied, research, or teaching roles;Expertise in numerical simulation methods;The capability to design problems reflecting real physics research workflows;Inventive problem design across various physics domains;Familiarity with physics modeling and approximation techniques;Strong command of written English (C1+ level).Application ProcessApply → Pass qualifications → Join a project → Complete tasks → Receive paymentProject CommitmentDuring active phases, tasks are estimated to require 10–20 hours per week, dependent on project needs. This is an estimate and not a guaranteed workload.Compensation DetailsContributors can earn up to $45 per hour, contingent upon their level of expertise and contribution pace. Compensation may vary across projects based on scope, complexity, and required expertise. Note that other projects on the platform may present different earning potential based on their specific requirements.

We invite you to submit your CV in English, clearly indicating your level of English proficiency.Mindrift specializes in connecting skilled professionals with project-based AI opportunities for prominent tech companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Please note that this is a project-based role, not a permanent position.About the RoleEach project offers unique challenges, and contributors may be involved in:Creating innovative computational engineering tasks that mirror real-world engineering processes;Developing problems that necessitate Python programming for solving engineering calculations and simulations;Ensuring tasks are computationally demanding, utilizing numerical methods or iterative solutions;Designing problems related to system optimization, design, and analysis;Formulating challenges based on genuine research problems or practical engineering applications;Validating solutions using Python with established engineering libraries;Clearly documenting problem statements and providing verified correct solutions.Candidate ProfileThis opportunity suits engineers experienced in Python, looking for part-time, project-based engagements. Ideal candidates will possess:A degree in Electrical Engineering or a related discipline;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, or any equivalent programming language is acceptable;A minimum of 2 years of relevant professional experience, whether in applied work, research, or teaching;A solid understanding of practical engineering constraints and approximations;Exceptional written English skills (C1+);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How to Get InvolvedApplication → Qualification Process → Project Engagement → Task Completion → CompensationProject CommitmentTasks are anticipated to require approximately 10–20 hours per week during active project phases, depending on specific project needs. This is an estimate and not a guaranteed workload.Compensation DetailsParticipants can earn up to $50 per hour, contingent on their expertise and contribution pace. Compensation rates may vary across projects based on scope, complexity, and required skills. Please be aware that other projects on our platform may offer different compensation structures.

Are you a talented Data Scraping Engineer with expertise in Python? Join toloka-ai, a leading company in AI-driven solutions, where you'll have the opportunity to work on innovative projects that push the boundaries of technology. As a Freelance Data Scraping Engineer, you'll be responsible for developing robust data scraping solutions to extract valuable insights from various online platforms.

Toloka AI seeks a freelance AI trainer who combines civil engineering experience with strong Python programming skills. This contract position is fully remote and open to candidates based in Sweden. Role overview This role centers on applying civil engineering knowledge and Python expertise to help train and refine artificial intelligence systems. The work supports the development of AI applications by contributing specialized insights from both fields. What you will do Apply civil engineering concepts and Python programming to improve AI models Offer subject matter expertise to shape and support AI application development Location This is a remote position for candidates located in Sweden.

Kindly submit your CV in English, along with a description of your English proficiency level.Mindrift bridges the gap between specialists and project-based AI opportunities offered by leading tech companies, focusing on the testing, evaluation, and enhancement of AI systems. Please note that participation in these projects is temporary and project-based, not permanent employment.What This Opportunity Entails:Contributors will engage in unique tasks for each project, which may include:Designing original computational engineering challenges that replicate real-world engineering workflows;Creating problems that require Python programming to address engineering calculations and simulations;Ensuring tasks are computationally intensive and necessitate numerical methods or iterative solutions;Formulating challenges related to system design, optimization, and analysis;Base challenges on actual research issues or practical applications from engineering practice;Validating solutions using Python and established engineering libraries;Clearly documenting problem statements and providing verified correct answers.Candidate Profile:This role is ideal for engineers with Python experience who are interested in part-time, non-permanent project engagements. The ideal candidate will possess:A degree in Mechanical Engineering or a related field;Proficiency in Python for numerical validation; familiarity with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or experience in any programming language will be considered;At least 2 years of professional experience, which can include applied, research, or teaching roles;A strong grasp of practical engineering constraints and approximations;Excellent written English skills (C1 level or higher);Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are advantageous.How It Works:Submit an application → Complete qualification assessments → Join a project → Carry out tasks → Receive payment.Project Time Commitment:During active project phases, tasks are estimated to require approximately 10-20 hours per week, based on project demands. This is an estimate and not a guaranteed workload.Compensation:Contributors can earn up to $50 per hour, depending on their skill level and contribution pace. Compensation may vary by project based on its scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their unique requirements.