Recherche actuelle

About the Role

My client is looking for a skilled AI Engineer to join our growing technology team and help design, build, and deploy AI-driven solutions that power the next generation of intelligent products. You'll work on real-world problems involving machine learning, natural language processing (NLP), computer vision, and generative AI, collaborating closely with developers, data scientists, and product leaders.



Responsibilities:

* Design, train, and deploy machine learning and deep learning models for production use.
* Work with Large Language Models (LLMs), NLP, or computer vision to develop practical, high-impact AI features.
* Collaborate with product and engineering teams to integrate AI capabilities into SaaS and enterprise platforms.
* Implement scalable data pipelines and model-serving architectures using Python and cloud services (AWS, Azure, or GCP).
* Continuously evaluate and improve model performance through experimentation and A/B testing.
* Stay up-to-date with the latest advancements in AI research and frameworks, and contribute to innovation discussions.



Requirements:

* Hands-on experience in AI, machine learning, or data science roles.
* Strong programming skills in Python and experience with TensorFlow, PyTorch, or Transformers.
* Understanding of data preprocessing, feature engineering, and model evaluation techniques.
* Familiarity with LLM APIs (OpenAI, Anthropic, Hugging Face) or fine-tuning frameworks.
* Experience deploying AI models into production environments.
* Strong analytical mindset and problem-solving skills.
* Excellent communication and teamwork abilities.



Nice-to-Have

* Experience with Generative AI, Prompt Engineering, or Retrieval-Augmented Generation (RAG).
* Knowledge of vector databases (Pinecone, Weaviate, FAISS).
* Exposure to MLOps tools like MLflow, Kubeflow, or Vertex AI.
* Experience integrating AI into web apps, APIs, or chatbots.



✉ Email: g.heron@tenthrevolution.com

☎ Contact Number: +44(0)1915949744 (1587) / +358 753 266586

A Finnish customer of mine has reached out looking for a Freelance Solution Architect (Lead/Expert) to join them on a 12 month contract (plus likely extension).

This would be a 100% allocation engagement, with a requirement to visit the customer's office in either Helsinki or Oulu 1-2 days per week.

My customer is looking for someone with strong experience in architecting and building large TypeScript / JavaScript applications on modern frameworks (preferably React).

In addition, they're also looking for the following experience:

* Experience in architecting and building large-scale, high-traffic web applications and platforms.
* Experience in leading and Guiding large development communities or organizations in enterprise context.
* Experience in platform engineering and/or software framework development.
* Microsoft Azure.

Nice-to-haves include:

* Integration technologies such as Websockets, gRPC, Event-Driven Architecture.
* Cloud platforms and technologies.
* Custom DevOps tooling and Infrastructure as Code.
* A/B testing and Web Analytics.
* Accessibility and Design Systems.
* Modern IAM architecture and OIDC.

Job Description

I'm supporting a client who is seeking an experienced Finnish-speaking Azure DevOps Engineer with a strong focus on identity, access management, and secure cloud operations within Azure. This role will play a key part in ensuring platforms are scalable, automated, and aligned with security best practices.



Key Responsibilities



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Design, build, and maintain CI/CD pipelines using Azure DevOps
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Implement and manage Azure identity and access management, with a strong focus on Azure AD / Entra ID
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Define and maintain RBAC, service principals, managed identities, and access policies across environments
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Automate Azure infrastructure using Infrastructure as Code (Terraform preferred; Bicep/ARM acceptable)
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Support secure application deployments across multiple environments
*

Work closely with engineering and security teams to enforce least-privilege access and governance standards
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Monitor, troubleshoot, and improve platform reliability and security
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Maintain documentation, access models, and operational runbooks



Technical Requirements



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Strong hands-on experience with Microsoft Azure in production environments
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Proven experience with Azure DevOps (pipelines, repos, artifacts)
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Deep understanding of Azure AD / Entra ID, IAM concepts, and access governance
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Experience implementing RBAC, managed identities, service principals, and conditional access
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Infrastructure as Code experience (Terraform preferred)
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Experience with containers and orchestration (Docker, Kubernetes / AKS)
*

Scripting experience (PowerShell, Bash, or similar)
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Familiarity with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights)



Nice to Have



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Experience working in regulated or security-conscious environments
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Knowledge of Azure Policy, PIM, and access reviews
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Experience supporting microservices architectures
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Background working closely with security or platform teams

About the role:

I'm seeking a skilled and motivated Azure Integration Consultant to join my Finnish customer on an initial 6-month contract. In this role, you will be responsible for designing, developing, and implementing cloud-based integration solutions using Microsoft Azure technologies. You'll work closely with internal teams to deliver scalable, secure, and high-performing integration architectures that support business transformation and digital innovation.



Key Responsibilities:

* Design and implement Azure-based integration solutions using Logic Apps, Azure Functions, API Management, Service Bus, and other Azure services.
* Collaborate with stakeholders to gather requirements and translate them into technical specifications.
* Develop and maintain integration components and APIs to connect cloud and on-premises systems.
* Ensure solutions are secure, scalable, and aligned with best practices.
* Provide technical leadership and guidance throughout the project lifecycle.
* Troubleshoot and resolve integration issues, ensuring minimal disruption to business operations.
* Document solutions and contribute to knowledge sharing across the team.



Required Skills & Experience:

* Proven experience in Azure integration services (Logic Apps, Azure Functions, API Management, etc.).
* Experience developing with C#/.NET on the backend and React or Blazor on the frontend.
* Strong understanding of cloud architecture and integration patterns.
* Proficiency in RESTful APIs.
* Experience with DevOps practices and CI/CD pipelines in Azure.
* Excellent problem-solving and communication skills.
* Ability to work independently and as part of a collaborative team.
* Microsoft Azure certifications (e.g., AZ-204, AZ-305) are a plus.

Job Description

I am looking for a Freelance, Finnish-speaking, Azure Data Platform Engineer to take ownership of a modern Azure-based data platform, with a focus on standardisation, security, and operational excellence. This role sits at the platform level, enabling multiple data teams to deliver data products quickly, securely, and consistently.



Key Responsibilities



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Design, build, and evolve a standardised Data Landing Zone / Lakehouse platform in Azure
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Create reusable frameworks, patterns, and "golden paths" to enable uniform ways of working across data teams
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Build metadata- and configuration-driven ingestion frameworks to onboard new data sources efficiently
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Ensure strong security and governance across the platform, including identity and access management (RBAC, managed identities, Key Vault, policies, logging)
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Establish and maintain CI/CD pipelines, deployment patterns, and environment structures (dev/test/prod, multiple domains)
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Own platform operability, including monitoring, incident management, and continuous improvement
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Drive cost transparency and optimisation (FinOps), performance tuning, and resource efficiency
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Support and enable data teams through documentation, templates, onboarding flows, and technical guidance



Required Experience



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Strong hands-on experience with Azure data services such as Synapse Analytics, Azure Data Factory, and ADLS Gen2
*

Solid programming skills in Python (and/or C#/.NET) and strong SQL
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Experience with Infrastructure as Code using Bicep and/or Terraform
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CI/CD experience with Azure DevOps Pipelines or GitHub Actions
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Good understanding of Lakehouse architecture, metadata-driven ingestion, and data governance concepts
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Experience implementing secure, reliable platforms using Azure IAM, managed identities, and network controls

Job Description

My customer is seeking an experienced Freelance Azure Data Engineer with Data Architecture experience to design, build, and optimise enterprise-scale data platforms on Microsoft Azure.

This role is hands-on but requires strong architectural ownership - you'll be responsible for shaping data solutions end to end, from ingestion through to analytics and consumption.

Finnish-speaking is mandatory.



Key Responsibilities



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Design and implement scalable Azure-based data architectures
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Build and maintain reliable data pipelines (batch and streaming)
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Lead architectural decisions across data ingestion, storage, and analytics
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Develop data models optimised for performance and analytics use cases
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Ensure best practices around data governance, security, and compliance
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Optimise cost, performance, and reliability of Azure data platforms
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Collaborate closely with engineers, analysts, and business stakeholders



Required Experience



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Strong background as a Data Engineer with architect-level responsibility
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Proven experience designing and delivering data platforms on Microsoft Azure
*

Hands-on experience with:

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Azure Data Factory
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Azure Synapse Analytics
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Azure Databricks
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Azure Data Lake (Gen2)

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Strong SQL and data modelling expertise
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Experience with CI/CD and infrastructure-as-code in Azure
*

Ability to work independently in a freelance/contract environment



Nice to Have



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Streaming experience (Azure Event Hubs, Kafka)
*

Azure Purview / Microsoft Fabric experience
*

Terraform or Bicep
*

Experience in large enterprise or regulated environments

I'm looking for a Full Stack .NET / Azure Developer to join a professional and highly experienced team working on a business-critical processing system for my Finnish client.

Requirements:

* C#/.NET, Entity Framework
* Blazor
* MS SQL Server
* Azure

Responsibilities:

* Design, develop, and maintain scalable full-stack applications using .NET and Blazor.
* Build and optimise SQL databases and integrate them with application logic via Entity Framework.
* Deploy, monitor, and maintain applications in Azure.
* Collaborate with cross-functional teams to deliver clean, maintainable and high-performing code.

ML & AI Opportunities in Finland

Research Scientist/Engineer (Agents & Retrieval)
Location: Espoo, Finland

Overview:
Join a cutting-edge AI team focused on building secure, production-grade systems for enterprise deployment. This role bridges research and engineering, with a focus on retrieval-augmented generation (RAG), agentic workflows, and evaluation frameworks.

Key Responsibilities:
-Architect and optimize RAG pipelines (chunking, embeddings, vector storage).
-Develop agentic systems with memory, planning, and tool orchestration.
-Design evaluation frameworks for RAG and agent performance.
-Stay current with AI research and translate findings into production systems.
-Collaborate with customers to align technical solutions with real-world needs.

Requirements:
-Multiple years in AI/ML, with deep expertise in information retrieval and RAG systems.
-Strong understanding of agent architectures and evaluation metrics.
-Experience with LLMs, LangChain, RAG, and cloud platforms.
-Proficient in Python, PyTorch, CI/CD, and Kubernetes.
-Publications or open-source contributions are a plus.

Machine Learning Engineer (Inference)
Location: Espoo, Finland

Overview:
Seeking a hands-on engineer to lead the development and optimization of the inference stack. This role focuses on high-performance model serving, GPU optimization, and MLOps infrastructure for secure enterprise AI deployments.

Key Responsibilities:
-Design and optimize inference infrastructure using vLLM, SGLang, and custom engines.
-Profile and improve latency, throughput, and GPU utilization.
-Extend support to multimodal models (diffusion, ASR/TTS).
-Build robust MLOps pipelines for deployment and monitoring.
-Collaborate with infrastructure teams on GPU resource management and scaling.

Requirements:
-Multiple years in ML engineering, with strong GPU and HPC experience.
-Deep knowledge of CUDA, NCCL, InfiniBand, and virtualization.
-Experience with LLMs, model compression, and secure deployment.
-Proficient in PyTorch, Kubernetes, and Linux kernel-level optimization.
-Open-source contributions and multimodal model experience are a plus.

Reach out:
✉ Email: g.heron@tenthrevolution.com
☎ Contact Number: +44(0)1915949744 (1587) / +358 753 266586