Sr. AI Data Engineer (UK Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. AI Data Engineer in United Kingdom.

As a Sr. AI Data Engineer, you will design, build, and maintain scalable AI and data pipelines that empower advanced machine learning and AI initiatives. You will work closely with cross-functional teams to ensure high-quality data infrastructure, enabling predictive analytics, model retraining, and deployment at scale. In this role, you will play a critical part in enhancing AI capabilities, supporting data-driven decision-making, and driving innovative solutions across a suite of products. This position offers the opportunity to contribute to impactful projects in a collaborative, remote-first environment where your expertise will directly influence strategic outcomes and the effectiveness of AI solutions.

Accountabilities:

• Design, develop, and operate robust, scalable AI data pipelines supporting applied AI and ML workflows.
• Execute initiatives for collecting, normalizing, and storing data from multiple sources, including external providers.
• Collaborate with AI R&D, Applied AI, and Data Platform teams to ensure data quality and seamless flow.
• Support exploratory data initiatives and contribute to AI research by providing structured datasets.
• Maintain clear communication across teams, sharing insights on data infrastructure needs and potential innovations.
• Stay current with emerging AI and data engineering tools and recommend improvements to enhance infrastructure.

Requirements

• Minimum of 4 years of experience in data engineering, preferably focused on AI/ML data infrastructure.
• Strong proficiency in Python, SQL, and Infrastructure as Code (Terraform, CloudFormation); experience with orchestration frameworks such as Airflow, Prefect, or dbt.
• Experience with cloud-native data platforms (AWS, Azure, GCP) and vector databases (Pinecone, Weaviate, Qdrant, Chroma).
• Knowledge of MLOps tools and platforms (HuggingFace, SageMaker Bedrock, Vertex AI) and experiment tracking (MLflow, Weights & Biases).
• Experience with Large Language Models (LLMs), embedding generation, retrieval-augmented generation (RAG) systems, and orchestration frameworks (LiteLLM, LangChain, LangFuse, LlamaIndex).
• Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively in cross-functional teams.

Desired Qualifications:

• 6+ years of experience in AI-focused data engineering projects.
• Technical leadership or mentorship experience.
• Experience in EdTech or academic integrity sectors.
• Familiarity with NLP, computer vision, or multimodal AI applications.
• Experience with data visualization and reporting tools (e.g., Streamlit).
• Experience with AI coding tools (Cursor, Claude Code, GitHub Copilot).

Benefits

• Remote-first work culture with flexible working arrangements.
• Competitive salary and total rewards package.
• Generous paid time off, including national holidays and self-care days.
• Health and wellness programs, including mental health support.
• Education reimbursement and professional development opportunities.
• Retirement plan with contributions/matching.
• Paid volunteer time and charitable contribution matching.
• Access to cutting-edge AI technologies and collaborative global teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!