Job Title: Data Reporting Analyst

Job Duration: 12 Months

Job Location: Remote(North Yorkshire)

Responsibilities:

Design, develop and maintain Power BI dashboards and reports

Create, manage and optimise complex Excel spreadsheets and data sets

Collaborate with internal teams to identify reporting requirements

Automate manual reporting processes where possible

Ensure data integrity and accuracy across all reporting outputs

Provide insights and recommendations based on data analysis

Support colleagues with IT and data-related queries

Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, etc.)

Demonstrable experience with Power BI for reporting and dashboards

Competent in Microsoft Word and general ICT skills

Excellent analytical and problem-solving skills

Ability to work independently and manage multiple priorities

Familiarity with data modelling and extraction principles is advantageous.

Job Title: Power BI Analyst

Job Duration: 18+ Months

Job Location: Hull, United Kingdom(Remote)

Responsibilities:

• Design and develop Power BI reports, dashboards, and KPI scorecards using SQL databases, dataflows, SharePoint, and other sources.
• Build and maintain robust data models to ensure scalable, efficient, and accurate reporting.
• Manage and maintain KPI frameworks, ensuring alignment across all business levels.
• Monitor existing reports, resolving issues and implementing enhancements to improve performance and data integrity.
• Contribute to the development of reporting frameworks and best practice standards.

Job Title: AI Engineer

Job Duration: 8+ Months

Job Location: Fully Remote

Job Type: Contract

Responsibilities:

• Build and run production LLM applications end to end, from use case design through to live service – retrieval logic, prompt design, orchestration and the APIs behind them
• Design and implement RAG solutions, including chunking and embedding strategy, vector indexing and retrieval filtering that enforces user entitlements at the data layer
• Establish how answer quality is measured – define evaluation sets, baseline performance before release and re-evaluate after any change to prompt, model or document set
• Take experimental work from data scientists into production, including code review, refactoring for modularity, dependency handling and making it reproducible
• Own the model and prompt lifecycle in MLflow – tracking, registry, versioning, promotion and rollback. Ensure training and inference remain consistent
• Execute promotion of models and use cases into production serving, against a governance approved admission policy
• Deploy AI inference services into OpenShift and Azure with CI/CD pipeline in GitLab, comprehensive monitoring, logging and alerting, and secrets management
• Monitor live AI services into OpenShift and Azure for answer quality, drift, latency and cost, investigate regressions and trace cost increases to their cause
• Work with data scientists, data engineers, platform engineers and business stakeholders to industrialise AI use cases, and support the evolution of the AI ecosystem.

Job Title: Generative AI Engineer

Location: Fully Remote(London)

Duration: 12+ Months

Responsibilities:

• Hands-on experience working with Large Language Models (LLMs) using tools like LangChain, LlamaIndex, or LangGraph
• Familiarity with vector databases for embedding and indexing operations
• Proficiency with modern backend frameworks such as FastAPI or Flask
• Strong experience with cloud platforms — GCP or AWS preferred
• Select, fine-tune, and adapt existing machine learning models, open-source LLMs, or vision architectures to meet specific business needs rather than training models from scratch.
•  Build robust data pipelines for data ingestion, preprocessing, and feature engineering. Set up scalable infrastructure (cloud or hybrid) to host and train models.