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    Azure DevOps Engineers

    Sweden, Stockholm

    • SEK 50,000 to SEK 65,000 SEK
    • DevOps Stelle
    • Fähigkeiten: Azure
    • Seniority: Senior

    Jobbeschreibung

    DevOps Engineer - Azure & Kubernetes | AI Innovation

    Location: Täby, Sweden (Hybrid)

    Employment Type: Permanent

    Industry: Artificial Intelligence / Technology



    Are you a DevOps Engineer who enjoys building scalable cloud infrastructure and enabling engineering teams to deliver secure, high-quality software at speed?



    We're partnering with an innovative AI organisation in Täby, Sweden, that is developing cutting-edge solutions at the intersection of artificial intelligence and cloud technology. As part of a strategic partnership with Microsoft, you'll have the opportunity to work with the latest Azure technologies while helping shape the infrastructure behind next-generation AI products.



    The Opportunity:

    As a DevOps Engineer, you'll play a key role in designing, implementing, and optimising modern cloud environments. You'll work closely with development teams to automate processes, improve delivery pipelines, and ensure the reliability and scalability of critical platforms.



    What You'll Be Doing

    * Designing, implementing, and maintaining cloud infrastructure within Microsoft Azure.
    * Building and managing Infrastructure as Code using Terraform.
    * Deploying, operating, and optimising Kubernetes environments, including both AKS, self-managed clusters.
    * Enhancing CI/CD pipelines and driving automation initiatives.
    * Monitoring, troubleshooting, and improving platform reliability and performance.
    * Collaborating with cross-functional teams developing innovative AI products.
    * Contributing to best practices around security, scalability, and operational excellence.



    What We're Looking For

    * Proven experience in a DevOps, Platform, or Cloud Engineering role.
    * Strong hands-on experience with Azure.
    * Commercial experience using Terraform for IaC.
    * Solid knowledge of Kubernetes, including AKS and standalone Kubernetes clusters.
    * Experience building and maintaining CI/CD pipelines.
    * Strong scripting and automation skills.
    * Excellent problem-solving abilities and a collaborative approach.



    Desirable Experience

    * Exposure to AI or machine learning environments.
    * Experience with monitoring and observability tools.
    * Knowledge of security best practices within cloud-native environments.
    * Microsoft Azure certifications.



    What's on Offer

    * The chance to work on innovative AI solutions with real-world impact.
    * Access to the latest Microsoft technologies through a strategic Microsoft partnership.
    * A collaborative, forward-thinking engineering culture.
    * Opportunities for professional growth and continuous learning.
    * Competitive salary and benefits package.
    * Hybrid working in Täby, Sweden.



    If you're passionate about cloud infrastructure, automation, and enabling teams to build exceptional products, we'd love to hear from you.

    Freelance Senior Data Scientist

    Sweden, Stockholm

    • Negotiable
    • Data Science Stelle
    • Fähigkeiten: Machine learning, AI (artificial intelligence)
    • Seniority: Senior

    Jobbeschreibung

    I have a client who are looking for an experienced Senior Data Scientist to join a high-performing data and analytics team focused on transforming large scale engineering and sensor data into actionable business insights. You'll be joining a team working on cutting edge science, machine learning and AI projects, helping to solve complex challenges and drive innovation.
    This position is ideal for a senior professional who combines deep technical expertise with strong leadership skills and a passion for mentoring others.

    Key Responsibilities

    * Analyse large and complex datasets to generate meaningful insights and recommendations.

    * Design, develop, validate, and deploy advanced machine learning models.
    * Lead data science initiatives from concept through to production deployment.
    * Drive innovation through the evaluation and adoption of emerging AI and machine learning technologies.

    * Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders.

    * Contribute to the development of scalable analytical and machine learning solutions.

    Required Skills & Experience

    * Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
    * 5+ years of experience working in Data Science, Machine Learning, or a similar analytical role.
    * Strong Python programming skills.
    * Hands-on experience with data science libraries including Pandas, NumPy, PySpark

    * Strong understanding of Statistical Modelling, Machine Learning algorithms, Predictive analytics, Time-series analysis.
    * Experience building and maintaining production-grade data and machine learning pipelines.
    * Previous experience working with Databricks, Snowflake, or similar modern data platforms.

    Desirable Experience

    * Experience with Generative AI and Large Language Model (LLM) applications.
    * Knowledge of Azure or other cloud platforms.
    * Experience with Streamlit, React, or other front-end technologies.
    * Previous Mentoring, Technical leadership, or team guidance Experience

    Ideal Candidate

    * Thrives in a collaborative and fast-paced environment.
    * Balances analytical rigour with a practical, delivery-focused mindset.
    * Takes ownership of projects and drives them through to completion.
    * Has excellent stakeholder management and communication skills.

    Apply

    If you're an experienced Senior Data Scientist looking for your next freelance contract in Sweden and have a strong background in machine learning, large-scale data processing, and advanced analytics, we'd love to hear from you.

    Data Architect

    Sweden, Stockholm

    • Negotiable
    • Consultant Stelle
    • Fähigkeiten: Data Architect, MS Fabric, Databricks, Pyspark, Migration, BI
    • Seniority: Senior

    Jobbeschreibung

    About the Role

    On behalf of our client, we are looking for an experienced Data Architect to lead the design, implementation, and governance of their enterprise data and analytics platform, built on Microsoft Fabric with a strong Databricks background. You will be the technical authority on modern lakehouse architecture spanning data engineering, data warehousing, real-time analytics, and Power BI translating business requirements into scalable, secure, and cost-efficient solutions across the Fabric/Databricks ecosystem.

    This is a high-impact role for someone who wants to shape a modern data platform from the ground up, bringing deep lakehouse and Spark expertise to a Fabric-first environment, and mentor teams as they adopt it.

    What You'll Do

    * Design and own the end-to-end architecture for Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory pipelines, Real-Time Intelligence, and Power BI semantic models.
    * Define data platform standards: medallion architecture (bronze/silver/gold), naming conventions, workspace structure, capacity planning, and CI/CD practices.
    * Lead migrations from legacy platforms (e.g., Synapse, Azure Data Factory, SSAS, on-prem SQL Server) into Fabric.
    * Architect security and governance frameworks - including workspace roles, OneLake data access policies, row-level security, sensitivity labels, and integration with Microsoft Purview.
    * Optimize Fabric capacity usage (F-SKUs), monitor performance, and manage cost governance across workspaces.
    * Collaborate with data engineers, analysts, and business stakeholders to design scalable data models and pipelines.
    * Establish DevOps practices for Fabric (Git integration, deployment pipelines, environment promotion).
    * Provide technical leadership, code/design reviews, and mentorship to data engineering and BI teams.
    * Stay current with Fabric's evolving feature set and advise on adoption roadmaps.
    * Evaluate and architect interoperability between Databricks and Fabric where relevant (e.g., shortcuts to OneLake, Delta Lake compatibility, Unity Catalog vs. Fabric governance models).
    * Advise on platform strategy where Databricks workloads (Spark jobs, MLflow, Delta Live Tables) need to coexist with or migrate into a Fabric-centric environment.
    * Bring lakehouse design best practices (Delta Lake, Unity Catalog, cluster/job optimization) to inform Fabric architecture decisions.

    What We're Looking For

    Required:

    * 5+ years of experience in data architecture, data engineering, or BI, with hands-on experience across Microsoft Fabric (or Azure Synapse) and Databricks.
    * Strong background working within Databricks cluster architecture, Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and job/workflow orchestration.
    * Strong knowledge of OneLake, Lakehouse/Warehouse architecture, Dataflows Gen2, Data Pipelines, and Notebooks (PySpark/Spark SQL).
    * Deep experience with Power BI, including semantic (Direct Lake) models, DAX, and report/dataset governance.
    * Solid understanding of data modeling (dimensional modeling, medallion architecture) across both lakehouse platforms.
    * Experience with T-SQL, Python, and PySpark/Spark SQL.
    * Familiarity with Azure services: Azure Data Lake Storage, Azure Active Directory (Entra ID), Azure DevOps/GitHub.
    * Experience designing for data security, compliance, and governance at enterprise scale (across Unity Catalog and/or Microsoft Purview).
    * Strong communication skills able to work with both technical teams and business stakeholders.

    Nice to Have:

    * Microsoft certifications (e.g., DP-600, DP-700, or Azure Solutions Architect).
    * Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Databricks Certified Solutions Architect).
    * Experience with Microsoft Purview for data governance and cataloging.
    * Background in real-time analytics (Eventstreams, KQL databases, or Databricks Structured Streaming).
    * Prior experience leading platform migrations either Databricks-to-Fabric, Fabric-to-Databricks, or hybrid coexistence architectures.

    AI Engineer

    Sweden, Stockholm

    • Negotiable
    • Data Science Stelle
    • Fähigkeiten: Machine learning, AI (artificial intelligence)
    • Seniority: Mid-level

    Jobbeschreibung

    The role:

    As a contractor, you'll support the design, development, and deployment of AI/ML solutions that solve real business problems.

    Typical responsibilities include:

    * Building and deploying machine learning models into production
    * Working on LLMs and Generative AI use cases
    * Designing scalable AI/ML pipelines and systems
    * Collaborating with data teams, engineers, and business stakeholders
    * Improving and optimising existing models and solutions

    What the client is looking for:

    * Strong commercial experience in AI / Machine Learning engineering
    * Solid programming skills (Python preferred)
    * Experience with frameworks such as PyTorch, TensorFlow, or similar
    * Hands-on experience with LLMs / transformer models.
    * Experience deploying models into production environments
    * Comfortable working independently in a freelance / contract environment
    * Strong problem-solving and communication skills

    The contract:

    * Freelance / contract role
    * Based in Stockholm (hybrid setup)
    * Competitive day rate depending on experience
    * Project with strong extension potential

    Why this role:

    You'll be working on cutting-edge AI projects with real impact, alongside a strong technical team building and scaling modern AI capabilities.

    If you're a freelance AI / ML Engineer open to new opportunities, feel free to get in touch and I can run through the details.

    Freelance - Data Scientist

    Sweden, Stockholm

    • Negotiable
    • Data Science Stelle
    • Fähigkeiten: Generative AI
    • Seniority: Mid-level

    Jobbeschreibung

    Data Scientist

    Rate: 1150 SEK per hour

    We're currently looking for an experienced Data Scientist to join a growing team and help turn data into meaningful business outcomes.

    This is an opportunity for someone who enjoys solving complex problems, uncovering valuable insights, and building machine learning solutions that support strategic decision-making. You'll work closely with both technical and business stakeholders, using data to drive innovation, improve processes, and create measurable impact.

    What You'll Be Doing

    * Collecting, cleaning, and analysing large structured and unstructured data sets.
    * Building predictive models and machine learning solutions to address real business challenges.
    * Designing and running statistical analyses, experiments, and hypothesis testing.
    * Creating dashboards, reports, and visualisations that communicate insights clearly to both technical and non-technical audiences.
    * Working with engineering teams to deploy, monitor, and improve machine learning models in production.
    * Identifying opportunities for automation and data-driven optimisation across the business.
    * Partnering with stakeholders to understand business requirements and translate them into analytical solutions.
    * Maintaining high standards around data quality, governance, and best practices.
    * Keeping up to date with the latest developments in AI, machine learning, and data science.

    What We're Looking For

    * A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, or another quantitative field.
    * Proven commercial experience as a Data Scientist or in a similar analytical role.
    * Strong Python and/or R programming skills.
    * Experience working with SQL and large-scale data sets.
    * Hands-on experience developing, training, and evaluating machine learning models.
    * Solid understanding of statistics, probability, and predictive modelling techniques.
    * Experience with tools and frameworks such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
    * Experience creating visualisations using tools such as Power BI, Tableau, or Matplotlib.
    * Excellent communication skills with the ability to explain complex concepts to different audiences.

    Nice to Have

    * Experience with AWS, Azure, or Google Cloud Platform.
    * Knowledge of MLOps, CI/CD, and model deployment pipelines.
    * Experience with Spark, Databricks, or other distributed data processing technologies.
    * Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
    * Previous experience working in Agile environments.

    The Right Person Will Be

    * Naturally curious and analytical.
    * A strong problem solver who enjoys tackling complex challenges.
    * Self-motivated and highly organised.
    * Collaborative and comfortable working across multidisciplinary teams.
    * Passionate about using data and AI to create business value.

    If you're excited about applying data science, machine learning, and AI to solve real-world problems and want to work in a collaborative, forward-thinking environment, we'd love to hear from you.

    Neu

    AI Principal Architect

    Sweden, Stockholm

    • SEK 65,000 to SEK 100,000 SEK
    • Architect Stelle
    • Fähigkeiten: AI, GenAI, AI Architect, Generative AI, RAG, LLM, Presales, AI Strategy
    • Seniority: Senior

    Jobbeschreibung

    AI Principal / AI Architect

    Sweden | Hybrid | Senior / Principal level



    Build what comes next in AI consulting.



    We're working with a large-scale technology consultancy that is going through a really exciting period of change within its Data & AI business.



    New senior leaders have joined with a clear ambition: to build, reshape and significantly scale the consultancy's AI offering.



    They already have strong capability, major clients and some genuinely interesting transformation work underway. Now they're looking for an exceptional person to help take that to the next level.



    This isn't a role for someone who wants to sit on the sidelines and advise.



    They're looking for someone who can think strategically, speak confidently with senior clients, lead pre-sales, architect complex AI solutions - and still get into the IDE and build.



    The opportunity:

    As an AI Principal Architect, you'll sit at the intersection of AI engineering, architecture and management consulting.



    You'll work with clients to understand their business challenges, shape the right solution, prove its value and ultimately help take it into production.



    You could be involved in:

    * Designing and implementing modern AI and agentic AI systems
    * Building Proofs of Concept and turning them into commercially viable Proofs of Value
    * Taking AI solutions through the full lifecycle into secure, scalable production
    * Architecting solutions across cloud, data, AI and automation platforms
    * Working directly with C-level and senior stakeholders to understand their objectives and challenge their thinking
    * Leading technical discovery and pre-sales engagements
    * Building business cases and translating complex technology into something commercially meaningful
    * Assessing existing client environments and identifying whether the answer is capability development, coaching or a new solution
    * Developing reusable IP, accelerators and packaged AI solutions
    * Helping shape the consultancy's wider AI strategy and offering
    * Supporting and mentoring other architects, engineers and consultants as the team grows



    You'll have genuine influence over how AI consulting is delivered, what the proposition looks like and where the business goes next.



    The kind of person they're looking for?

    This is a deliberately ambitious profile.



    You might come from an AI architecture, solution architecture, data science, software engineering or management consulting background. The exact route matters less than your ability to operate across the technical and commercial sides of the role.



    You'll ideally have:

    * Significant experience delivering AI solutions in real-world enterprise environments
    * Experience with modern AI/GenAI and ideally agentic systems
    * A strong understanding of architecture, data and cloud environments
    * Experience taking solutions beyond experimentation and into production
    * The ability to write production-quality code and get hands-on when required
    * Experience working directly with clients and senior stakeholders
    * A background in consulting, advisory or solution-led environments
    * Experience contributing to or leading pre-sales
    * The ability to understand a complex business problem and turn it into a credible technical and commercial solution
    * A rigorous, scientific and analytical mindset
    * The curiosity to continually learn and stay ahead of what is happening across AI



    Cloud experience is useful, particularly Azure, but they're not overly prescriptive. Experience across GCP or AWS is absolutely relevant.



    More than an architect...

    The people joining this team are expected to be more than technical specialists.

    They want people who are autonomous, curious and commercially minded.



    Someone who can walk into a client conversation, understand what they are actually trying to achieve, challenge the brief when necessary and say "No, I don't think that's the right approach" when the evidence supports it.



    Someone who can then turn around and build the thing.



    The team is particularly interested in people who have seen a lot, built a lot and still think it's fun.

    You won't be joining an established AI practice where everything has already been decided.

    You'll be helping build it.



    What makes this different?

    The wider consultancy already has significant scale, but this is a new chapter for its Data & AI organisation.



    The senior leadership coming in have already delivered complex transformation programmes across areas including data platforms, AI, data governance and digital transformation. They're now looking to build a much larger team around them.



    There is already a strong pipeline of work, including major transformation programmes, AI implementations and advisory engagements.



    The ambition is to build a high-performing consultancy where senior people can take significant responsibility, work on genuinely complex problems and have a visible impact on the direction of the business.



    There's also the opportunity to develop new propositions, IP and potentially productised AI offerings rather than simply delivering one project after another.



    The environment:

    You'll be surrounded by experienced consultants, architects and engineers, with a strong bias towards senior capability.



    The expectation is high - but so is the autonomy.



    If you're someone who wants to do exactly the same thing for 40 hours a week and go home, this probably isn't the environment for you.



    If you're someone who is genuinely fascinated by AI, follows what is changing in the industry, enjoys solving difficult problems and wants to help build something bigger than your individual project, this could be a very interesting next step.



    Location:

    The team has a presence across Sweden, including Stockholm, Malmö, Gothenburg, Linköping and Copenhagen, and although Stockholm is the preference, there is flexibility around where the right person is based.



    Some travel and face-to-face client/team interaction will naturally be part of the role.



    The bottom line...



    This is a chance to join a large consultancy at a point where its Data & AI offering is being actively reshaped and scaled.



    You'll have the backing and reach of a large organisation, but the opportunity to operate with the autonomy, influence and entrepreneurial mindset of a much smaller specialist consultancy.

    If you're an experienced AI leader who wants to build, advise, sell, deliver and shape what comes next, this is worth a conversation.

    BI Architect

    Sweden, Stockholm

    • Up to £0.00 per annum
    • Architect Stelle
    • Fähigkeiten: MS Fabric, BI Architect, Cloud Agnostic, CI/CD
    • Seniority: Senior

    Jobbeschreibung

    About the Role

    On behalf of our client, [Client Company Name], we're hiring a Senior BI Architect to design, govern, and scale their business intelligence ecosystem. You'll own the technical vision for how data is modeled, warehoused, and delivered to the business - turning raw data into trusted, decision-ready insight. This is a high-impact role for someone who thrives at the intersection of data architecture, analytics engineering, and stakeholder strategy.

    What You'll Do

    * Design and own the enterprise BI architecture, including data warehouse/lakehouse structures, semantic layers, and reporting frameworks
    * Define and enforce data modeling standards (dimensional modeling, star/snowflake schemas, medallion architecture) to ensure consistency and performance across BI assets
    * Lead the selection, implementation, and governance of BI tools and platforms (e.g., Power BI, Tableau, Looker) and their integration with the broader data stack
    * Architect and lead migrations to Microsoft Fabric, including OneLake, lakehouses/warehouses, Data Factory pipelines, and Power BI semantic models
    * Design solutions that remain cloud-agnostic where appropriate, ensuring architecture isn't unnecessarily locked to a single vendor and can integrate across AWS, Azure, and GCP data sources
    * Partner with data engineering to design scalable, reliable data pipelines that feed BI systems
    * Establish data governance practices - access controls, data quality standards, metadata management, and documentation
    * Translate business requirements into scalable technical solutions, working closely with analysts, product, and executive stakeholders
    * Mentor BI developers and analysts on architecture best practices, performance tuning, and self-service enablement
    * Evaluate emerging BI/analytics technologies and make recommendations to keep the architecture future-proof
    * Own performance optimization for large-scale dashboards, semantic models, and queries
    * Drive self-service analytics adoption through well-governed, reusable data models

    What You'll Bring

    * 7+ years of experience in business intelligence, data architecture, or analytics engineering, including prior BI development experience
    * Proven track record architecting enterprise-scale BI solutions from the ground up
    * Hands-on experience leading multiple end-to-end migration projects onto Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Factory, Power BI semantic models), including planning cutover strategy and minimizing disruption to existing reporting
    * Deep expertise in dimensional modeling and modern data warehouse/lakehouse design
    * Cloud-agnostic mindset - comfortable architecting solutions that span or move between AWS, Azure, and GCP rather than being tied to a single ecosystem
    * Advanced proficiency with Power BI (DAX, semantic modeling) and working knowledge of other major BI platforms (Tableau, Looker)
    * Strong SQL skills and familiarity with ELT/ETL tooling (e.g., dbt, Data Factory, Fivetran, Airflow)
    * Experience with data governance, security, and role-based access frameworks
    * Excellent communication skills - able to translate between technical architecture and business needs
    * Experience mentoring or leading technical teams

    Nice to Have

    * Experience migrating off legacy platforms (e.g., Synapse, SSAS, Snowflake, Redshift, BigQuery) onto Fabric
    * Experience with Python or scripting for data automation
    * Familiarity with CI/CD for analytics (version-controlled BI development, Fabric deployment pipelines)
    * Background in a specific industry vertical (finance, retail, healthcare, SaaS, etc.)
    * Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Power BI, Snowflake SnowPro, AWS/GCP data certifications)

    Neu

    Solutions Architect/ Engineer - AI & Automation

    Sweden, Stockholm

    • SEK 900 to SEK 1,100 SEK
    • Architect Stelle
    • Fähigkeiten: .NET, Generative AI, Azure, Claude, Python, Kubernetes
    • Seniority: Senior

    Jobbeschreibung

    Solutions architect/ AI Automation Consultant

    Build the bridge between enterprise platforms, AI, and real-world automation

    We are looking for an experienced Solutions Architect/ Fullstack engineer to join a partner organisation delivering AI and Hyperautomation solutions to clients across Sweden, spanning both public and private sector organisations. This is a 6-12 month assignment, hybrid-based out of Stockholm or Gothenburg, working alongside a team expanding its Hyperautomation offering further into AI-driven and agentic automation.

    Your background will likely be rooted in .NET and Azure development, with your career having evolved more recently into AI-driven and agentic automation solutions built on the Microsoft ecosystem. Your primary focus will be designing, building, and delivering these solutions into enterprise environments, working within clients' existing platforms and constraints rather than building custom solutions in isolation. The role spans the full pipeline, from AI/agentic design through to secure, production deployment for real end users.

    While hands-on delivery of AI pipelines will be your main focus, you'll also draw on experience with more established automation technologies, working across a mix of modern agentic AI and traditional automation tooling depending on client needs.

    We're looking for someone who thrives working directly with enterprise clients, is comfortable navigating security and governance requirements in regulated or sensitive environments, and can adapt AI solutions to fit within existing customer platforms rather than reinventing them from scratch.

    What you'll do

    * Design, build, and deliver AI-driven and agentic automation solutions for enterprise clients across public and private sectors
    * Take ownership of the AI pipeline end-to-end, from design and development through to deployment for real external customers and end users
    * Draw on a strong .NET and Azure foundation to build secure, production-grade solutions on the Microsoft ecosystem
    * Implement security, access control, and human-in-the-loop approval mechanisms appropriate for enterprise and sensitive-data environments
    * Work within clients' existing platforms and constraints, including the broader Microsoft ecosystem, rather than defaulting to custom-built solutions
    * Apply traditional automation approaches where appropriate, including Power Automate, UiPath, ServiceNow workflows, process mining, or IDP
    * Collaborate closely with client stakeholders, delivery teams, and the wider Hyperautomation practice
    * Support the growth of the Hyperautomation offering as it expands further into AI-driven and agentic automation
    * Participate across the assignment lifecycle, from solution design and build through to client handover and support

    What we're looking for

    Essential

    * Strong background in .NET (C#) development and Azure, with recent experience applying this into AI and automation solutions
    * Demonstrable, hands-on experience personally designing and building AI pipelines or automation solutions, not just overseeing them
    * Experience delivering solutions that are used by real external customers and end users, not solely within a personal product venture
    * Experience with security, access control, sensitive data handling, and human-in-the-loop approval processes in enterprise AI solutions
    * Comfortable working within existing customer platforms and constraints, including the Microsoft ecosystem
    * Strong communication and stakeholder management skills, able to work directly with enterprise clients
    * Available for interim/contract assignment work (6-12 months)

    Highly appreciated

    * Experience with traditional automation technologies such as Power Automate, UiPath, ServiceNow workflows, process mining, or IDP
    * Experience with agentic AI frameworks and enterprise-grade deployment practices
    * Swedish as a primary language, with the ability to work comfortably in both Swedish and English
    * Experience working through a consultancy or partner model, delivering to multiple clients across industries
    * Background spanning both public and private sector engagements

    This is an opportunity to shape how AI and agentic automation get delivered into real enterprise environments across Sweden, working with a team actively expanding its Hyperautomation capability.

    Apply here or send your CV via email to: j.simpson@tenthrevolution.com