Job Title: Machine Learning Engineer (Gen AI/ LLM Focus)
Job Location: Remote (Bristol)
Job Type: Full-Time

JOB DESCRIPTION:

• Contribute to the design and evolution of our Data Science platform, helping define best practices, tooling and the ML Engineering function as the team and project portfolio grow.
• Have a strong voice in the automation of the end-to-end data science lifecycle, leveraging CI/CD and infrastructure as code to support scalable, enterprise-grade production workflows.
• Work closely as a team, collaborating on all aspects of the data science and deployment lifecycle across traditional ML and generative solutions.
• Work collaboratively with dependency teams including data engineers, software engineers and business stakeholders.
• Write high quality python code following industry best practice for model development, deployment and maintainability.
• Contribute technically to the data science modelling and project workflows, helping select modelling approaches, participating in architecture discussions, and deployment strategies.

Job Title: Generative AI Engineer
Job Location: Remote (Leeds)
Job Duration: 8+ months
Job Type: Contract

Experience we’re looking for:

• Strong Python scripting skills
• Strong understanding of LLMs
• Experience delivering Gen-AI projects
• Experience with Retrieval-Augmented Generation (RAG)
• Experience with Microsoft data technologies would be beneficial
• Experience with Cloud platforms – ideally Azure
• Strong communication, stakeholder management and problem-solving skills

Job Title : Power BI Developer

Job Location : Remote ( Leicester )

Job Duration : 10 Months

Job Type : Contract

Responsibilities :

• Design, develop and deploy business applications using Power Platform (Power Apps, Power Automate, Power Pages, Power BI, Power Virtual Agents)
• Support platform governance, maintenance, and performance optimisation
• Integrate Power Platform solutions with Azure services and external systems
• Provide technical leadership and mentoring within the development team
• Contribute to Agile delivery practices including sprint planning and code reviews
• Champion best practices in low-code/no-code development and support citizen development
• Work with DevOps tools such as Azure DevOps for CI/CD and lifecycle management

Job Title : Power BI Data Analyst

Job Location : Remote ( London )

Job Duration : 12-18 Months

Job Type : Contract

Responsibilities :

• Design and build visually engaging Power BI dashboards
• Develop and optimise data models and semantic layers
• Work with Microsoft Fabric to support modern data architecture
• Integrate data from multiple systems (e.g. ERP, CRM, operational platforms)
• Write and optimise SQL queries for data preparation
• Translate complex data into clear, actionable insights
• Promote best practices in data visualisation and reporting
• Collaborate with stakeholders to gather requirements

Job Title: SAS Data ANalyst
Job Location: Remote(Glasgow)
Job Duration: 9+ months
Job Type: Contract

Required Skills

• Hands-on use of SAS Enterprise Guide for data manipulation and workflow automation.
• Ability to write complex queries, joins, aggregations, and performance-tuned SQL code
• Exposure to cloud-enabled SAS environments and Viya-based analytics.
• Experience performing unit testing, data validation, and reconciliation to ensure accuracy and completeness.
• Strong ability to interpret Business Requirements and translate them into technical specifications
• Understanding of data models, data flows, and business processes

Job Title : Business Analyst

Job Location : Remote ( England )

Job Duration : 12 Months

Job Type : Contract

Responsibilities :

• Communicating with management to understand data content and business requirements
•  Monitoring data quality and removing corrupt data
• dentifying and recommending new ways to save money by streamlining business processes
• Preparing reports and presenting these to management or clients
• Using data to predict trends in the customer base
• Using data mining to extract information from data sets and identify correlations and patterns