Job information
Location: West Yorkshire, England, United Kingdom
Company: Bitrecruit
Client / Employer: Occupop
Job reference: 8c5d703a63de6a6cd31392498bd1fd96
Listing type: Basic
EU work permit required: No
Posted: 20.05.2026
Expiry: 04.07.2026
Responsibilities
- Design, build, and maintain data pipelines that collect, clean, transform, and structure data from multiple sources
- Develop data architecture and models that support reporting, analytics, automation, and AI use cases
- Identify opportunities to use AI to analyse data, automate manual work, improve decision‑making, and support business growth
- Build and deploy AI‑powered solutions such as classification, summarisation, forecasting, anomaly detection, and intelligent workflow tools
- Work closely with business and technical stakeholders to understand requirements and translate them into scalable data and AI solutions
- Improve the quality, accessibility, and reliability of company data for current and future use
- Support the development of the company's longer‑term AI and data strategy
- Evaluate tools, technologies, and platforms that strengthen our data and AI capabilities
- Establish best practices for data management, experimentation, model deployment, and documentation
- Ensure appropriate governance, security, and responsible use of data and AI systems
Qualifications
- Experience in data engineering, analytics engineering, machine learning engineering, or AI engineering roles
- Strong Python and SQL skills
- Experience building and maintaining ETL or ELT pipelines
- Strong understanding of data modelling, data transformation, and data quality
- Experience working with cloud platforms and modern data infrastructure
- Hands‑on experience applying AI or machine learning to real business problems
- Experience handling both structured and unstructured data
- Ability to work across the full lifecycle from data ingestion to production‑ready AI solutions
- Strong communication skills and ability to work with cross‑functional teams
- Preferred
- Experience with LLMs and related tooling
- Familiarity with vector databases, embeddings, retrieval systems, or AI workflow orchestration
- Experience with BI and reporting platforms
- Experience deploying models or AI systems into production environments
- Familiarity with MLOps, data governance, and responsible AI practices
- Experience in a growing business where data capability is still being developed
Benefits
- 25 days holiday rising to 30 with each year of service
- Private Medical Insurance covering dental and optical
- Company pension scheme
- Life Assurance – 4× your annual salary
- 1 day paid volunteering per year
- Enhanced maternity / paternity offerings
- Employee Assistance Programme
- Cycle to work scheme
- On‑site gym
