2 of 2 Remote Data Science Jobs in Staffordshire

Artificial Intelligence Engineer (Data Science & ML focus) Remote working with occasional meet-ups £50,000-£60,000 Join us in building cutting edge AI applications, unlocking the full potential of AI within commerce. It's new, it's exciting and it's an opportunity to work with some incredible talent in this space. The role The role is … building AI applications based on LLM and models such as GPT and BERT You'll make use of Python programming, Pyspark, tensorflow, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. Cloud data platforms and a diverse set of tools for AI app deployment. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast … Azure/AWS/GCP) . Some of the following - Pytorch, GPT/BERT, RAG, Apache Airflow, Power Automate, Azure logic apps, RPA/Zapier, HuggingFace, LangChain... Background in Data Science or Software Engineering The values and ethos of this business Innovation with real purpose and for real results Support one another - pull together and be helpful We More ❯

This role represents an exciting opportunity for a high-performing Data Engineer to help shape and strengthen the organisation’s data engineering and analytics capability within its AWS-based environment. We’re ideally looking for someone with strong hands-on experience across AWS services, Airflow, Python, and SQL. You’ll play a key role in designing, building, and … maintaining modern data infrastructure that powers insight-led decision-making across the business. Working within a small, supportive team, you’ll collaborate with analysts, data scientists, and key stakeholders to deliver practical, scalable solutions that make a real impact. Key Responsibilities Design, build, and maintain robust, scalable ETL/ELT pipelines using tools such as Airflow and AWS … services (S3, Redshift, Glue, Lambda, Athena). Integrate new data sources and continuously optimise performance and cost efficiency. Ensure data quality, integrity, and security across all systems. Maintain clear documentation for data processes and pipelines. Partner with analysts, data scientists, and product teams to translate requirements into reliable technical solutions. Contribute to agile ceremonies, ensuring effective More ❯