Hire the Best Machine Learning Engineers
in Sweden

Results-driven Machine Learning Engineer with 9+ years of experience in AI/ML solutions, full-stack development, and MLOps. Proven track record of designing and deploying end-to-end ML pipelines on AWS, GCP, and on-prem environments. Expert in Python and TypeScript with extensive experience in agentic AI frameworks (Mastra, AI SDK), LLMs, and cloud-native architectures (Kubernetes, Docker). Passionate about building scalable AI products from concept to production.

⭐ Complimentary 15 min consulting call for all new clients⭐ After over 5 years as an EY Sustainability Specialist and the sustainability manager to one of the biggest Nordic consumer goods brands, I truly have in depth knowledge of the field. I will only take on clients who I know I have the skills and capacity to support – so if you need someone with ESG expertise please reach out and we can see if I’m the right person to help deliver your project. I specialise in supporting clients to: 🌿 Write and review sustainability reports aligned with legislation (e.g. EUDR, ESRS, CBAM, EPR, WEEE and many others) 🌿 Develop GHG Protocol aligned emissions inventory for scope 1, 2, 3 emissions 🌿 Develop an ESG or sustainability strategy 🌿 Develop a decarbonisation roadmap 🌿 Conduct climate risk assessments (physical and transition risks) 🌿 Create ESG-related KPIs 🌿 Conduct gap assessments for key reporting frameworks I also have extensive knowledge around key sustainability frameworks. Several I've worked with include: 📝 Taskforce for Nature-Related Financial Disclosures (TNFD) 📝 Taskforce for Climate-Related Financial Disclosures (TCFD) 📝 European Sustainability Reporting Standards (ESRS) 📝 Voluntary reporting standards for SMEs (VSME) 📝 Global Reporting Initiative (GRI) 📝 Greenhouse Gas Protocol 📝 Science Based Targets Initiative (SBTi) 📝 EcoVadis My educational background is data driven. I have multiple degrees, including: 🎓 Bachelor of Physics and Applied Mathematics 🎓 Masters of Applied mathematics and modelling - applied to Climate risk assessments This diverse knowledge base provides a strong foundation in data driven processes to develop strategy and targets that are achievable and relevant to your business. I offer a free 15 minute consult to all new clients to ensure I'm the right fit for your project. I’m looking forward to helping you bring sustainability into your workplace. Kind regards, Martin

I am an AI Engineer with a Master’s in Artificial Intelligence from Umeå University, Sweden. I build LLM applications, RAG systems, AI agents, document intelligence pipelines, and Python FastAPI backends. My recent work includes HEMMIR, a multimodal RAG system for Scania engineering documents, where I built ingestion, hybrid retrieval, reranking, cited generation, claim verification, reliability scoring, and self-correction routing. I can help you build: RAG systems with citations and reranking AI agents and workflow automation FastAPI backends for AI products Claude, OpenAI, Gemini, and AWS Bedrock integrations Vector search, embeddings, and document QA Evaluation pipelines for hallucination, faithfulness, and retrieval quality I focus on reliable AI systems that use evidence, cite sources, and avoid guessing when information is missing.

I'm Nesar Tajik, a seasoned Machine Learning Consultant with a strong track record in delivering innovative solutions. With 2.5 years of experience, I specialize in: - Machine Learning Algorithms - Deep Learning and Neural Networks - Natural Language Processing (NLP) - Predictive Modeling and Data Analysis - Computer Vision Why Choose Me? Tailored Solutions: Customized machine learning solutions for your unique needs. Innovation: Stay ahead with the latest industry trends and advancements. Collaborative Approach: Open communication and teamwork for project success. Let's Transform Ideas into Reality: Ready to harness the power of machine learning? Let's connect and turn your ideas into impactful solutions.

Machine Learning Engineer with 6 years of commercial experience at large consulting and small innovative companies, having broad experience and skills in machine learning, cloud operations and edge AI. ** Patent **: WO2020174327 - SYSTEM FOR OBTAINING A PREDICTION OF AN ACTION OF A VEHICLE AND CORRESPONDING METHOD (2020) ** Certification **: AWS Machine Learning Specialty (2020) Generalist, capable of covering end-to-end ML development from data collection to model training, deployment and monitoring in production. Highly specialized in deep learning models for Computer Vision applications, architecting ML solutions in AWS and owning the full MLOps cycle. I also can handle driving data science projects from scratch, collect requirements from users/product managers/C-level stakeholders. Core competencies and interests: 1. ML & DL (5 years) 2. AWS (3 years) 3. Edge AI, CV, C++, Nvidia Jetson ( 2 years)

I'm a senior ML and software engineer with around 10 years of experience, currently building production-grade ML platforms and pipelines at Imagimob (an Infineon company). I help teams take machine learning from prototype to reliable production, covering the full lifecycle: data pipelines, training, evaluation, deployment, and monitoring. What I can help you with: Production ML pipelines and MLOps (CI/CD, model versioning, monitoring) with Python, Docker, Kubernetes, Airflow, and AWS Machine learning and deep learning with PyTorch and TensorFlow (time-series, sensor data, computer vision / YOLO, edge & embedded ML) RAG and LLM-based tools (embeddings, LLM APIs, prompt design, document extraction) Data engineering and ETL (Python, Pandas, Elasticsearch, MongoDB, SQL) Backend and full-stack development, APIs, and integrations Performance optimization of large systems (timing and memory profiling), with a strong C#/C++ background Background: I started as a C#/C++ engineer, spending ~3.5 years on government R&D projects and a period at Siemens as a performance engineer optimizing a large-scale system's timing and memory. I then moved into data engineering and, over the past several years, into ML/MLOps. I also work as a Scrum Master and technical lead, so I'm comfortable owning delivery and collaborating with stakeholders. I'm open to both small and large projects, including hourly and remote/home-office work. Whether you need a full ML system built, an existing pipeline optimized, or hands-on help with a specific model, I can help you ship something reliable.