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Join a forward-thinking team dedicated to building cutting-edge AI-powered products. As an AI Engineer, you'll play a key role in designing and deploying scalable solutions using modern frameworks and cloud technologies. You'll collaborate with cross-functional teams including product managers, data engineers, software developers, and AI specialists to bring innovative ideas to life.

Key Responsibilities:

* Contribute to the development and deployment of scalable AI solutions across various product lines.
* Work closely with stakeholders to translate business needs into technical implementations.
* Build and optimise GenAI architectures using industry-leading tools and frameworks.
* Develop solutions leveraging cloud-based AI services, particularly within the Azure ecosystem (e.g., Azure OpenAI).
* Support the implementation and refinement of Retrieval-Augmented Generation (RAG) systems, including embedding strategies and indexing techniques.
* Assist in managing evaluation pipelines and frameworks using tools such as Langfuse.
* Document and share best practices related to GenAI and Agentic AI architectures.

Required Skills and Experience:

* Solid background in software engineering or machine learning engineering, with hands-on experience in real-world projects.
* Proven ability to design and deploy production-grade Generative AI solutions.
* Strong programming skills in Python.
* Experience with cloud AI platforms, preferably Azure or AWS.
* Familiarity with GenAI tools and both open-source and commercial LLMs.
* Understanding of advanced AI architectures such as Agentic AI and RAG (including GraphRAG).
* Proficiency with frameworks like LangChain, LlamaIndex, and evaluation tools such as Langfuse.

🚨 6-MONTH CONTRACT OPPORTUNITY 🚨
START DATE: ASAP
LOCATION: Stavanger / Remote

Datacenter Deployment Lead

We're hiring on behalf of a leading client for a Datacenter Deployment Lead to support the rollout of cutting-edge GPU infrastructure. This is a key role for someone who thrives in high-performance environments and has a passion for datacenter excellence.

In this position, you'll lead the physical deployment of large-scale datacenter hardware-from initial design to final installation. You'll ensure everything is optimized for performance, scalability, and reliability, supporting infrastructure that powers AI and compute-intensive applications.

Key Responsibilities

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Design and implement rack layouts for servers, GPUs, and switches
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Review and validate Bills of Materials (BOMs) for performance and compatibility
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Plan and manage structured cabling, including routes, lengths, and procurement
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Ensure installations meet datacenter constraints (power, cooling, weight)
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Assist with the setup and initial configuration of network hardware (firewalls, routers, switches)
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Serve as the on-site technical lead during deployments, resolving issues on the ground
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Develop and maintain deployment documentation and standards

What You Bring

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Deep knowledge of structured and fiber cabling (AOC, DAC, optics)
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Strong hands-on experience with datacenter hardware and networking systems
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Proven ability to assess and optimize BOMs
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Solid track record of leading datacenter deployments
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Familiarity with CMDB tools like Netbox
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Excellent problem-solving, documentation, and communication skills

Bonus Skills

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Scripting or automation experience (Python, Ansible)
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Understanding of Infiniband fabrics and AI-optimized networking
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Ability to diagnose and improve AI fabric performance

This is an exciting chance to work on some of the most advanced infrastructure in the industry. If you're ready to take the lead on high-impact deployments-apply now!

Role - Data Governance Lead

Location -Remote

Start Date - 29th Of September (can wait a week or so after)

Rate - Market Rates (Outside IR35)

Contract Length - 3 Months initially (Will extended based on good performance)

The role is Outside IR35



Description:

I'm looking for a Data Governance expert with a strong background in Metadata, Data lineage, Data Glossaries etc, ideally with Retail Analytics experience. This position is Outside iR35 for a start date of within 2 weeks.



Key Workstreams & Deliverables:

1 Centralising Metadata: This workstream focuses on establishing a centralised metadata and data lineage system.

* Deliverables: Current state metadata & lineage map, Metadata Management Framework & Standards, two metadata-enriched domains live in a pilot platform, Stakeholder Engagement & Training for metadata, and a gap analysis report on metadata coverage and tool capability.

* Data Stewardship Program: This workstream aims to establish and operationalize a robust Data Stewardship program.

* Deliverables: Nominated Data Stewards, Data Steward Handbook, Data Steward Onboarding Material and Process, Drafted Data Lifecycle Process, Training and Activated Data Stewards, and Next Steps and Costed Implementation Plan.

* Tiered Governance Framework and Approval Automation: This workstream focuses on formalizing data risk assessment and automating approvals for low-risk data.

* Deliverables: Documented Tiered Data Risk Framework, Mapping of Data Use Cases to Risk Tiers, Automated Approval Workflow for Low-Risk Data, and Updated Training and Documentation for tiered governance.

Please share your CV if you are interested