Senior AI/ML Data Engineer - Remote - EMEA at Jobgether

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 26

Salary

0.0

Posted On

09 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI, Machine Learning, Python, SQL, ETL, ELT, Embeddings, Vector Databases, RAG Pipelines, LLM Orchestration, Cloud Infrastructure, Workflow Orchestration, Collaboration, Data Quality, Performance

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior AI/ML Data Engineer in EMEA. As a Senior AI/ML Data Engineer, you’ll take a leading role in shaping the foundation of the company’s AI and data ecosystem. You’ll be responsible for designing robust data pipelines, building reliable ETL/ELT processes, and implementing systems that power AI-driven product features. This position offers the opportunity to work at the intersection of data engineering and AI, collaborating with cross-functional teams to deliver intelligent, scalable solutions. You’ll work in a fast-growing, fully remote environment that values autonomy, innovation, and collaboration, contributing directly to the evolution of next-generation AI applications. Accountabilities: Design, build, and maintain scalable data pipelines and ETL/ELT workflows to support AI-powered features. Develop and optimize embeddings, vector databases, and RAG pipelines for efficient information retrieval. Implement and experiment with LLM orchestration frameworks such as LangChain, LangGraph, or LlamaIndex. Ensure seamless integration between data pipelines and existing product or platform services. Establish and enforce best practices for data quality, observability, and performance within AI workflows. Deploy and maintain Python-based AI services in production environments. Collaborate closely with product, platform, and research teams to ensure data-driven innovation aligns with business goals. 5+ years of experience in data engineering or backend development, ideally within SaaS environments. Strong command of Python (FastAPI, Pandas, PyTorch/TensorFlow experience is a plus). Expertise in SQL, relational databases, and data modeling. Familiarity with embeddings and vector databases such as Pinecone, Weaviate, or FAISS. Experience working with AI frameworks for RAG or orchestration (e.g., LangChain, LlamaIndex). Comfortable collaborating across multiple teams and integrating pipelines into complex systems. Bonus skills: cloud infrastructure (AWS, GCP), workflow orchestration tools (Airflow, Dagster). Competitive compensation aligned with market standards across EMEA. Fully remote work flexibility within your country of residence — no mandatory office presence. Equity options available to all roles, aligning your success with the company’s growth. Professional growth opportunities in a rapidly scaling and innovative environment. Values-driven leadership that prioritizes learning, collaboration, and personal development. Annual paid leave and country-specific benefits such as healthcare and pensions. A diverse international culture, with team members across more than 40 countries. Jobgether AI Matching Process 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 thoroughly analyzes your CV and LinkedIn profile, focusing on your skills, experience, and achievements. 📊 It then compares your profile to the job’s key requirements and past success factors to calculate your match score. 🎯 The top three candidates with the highest match scores are automatically shortlisted for the role. 🧠 When necessary, our human team performs an additional review to ensure no outstanding profile is overlooked. This process is transparent, skills-based, and bias-free, emphasizing your professional fit and potential. Once the shortlist is finalized, it is shared directly with the hiring company, which then conducts interviews or additional assessments. Thank you for your interest! #LI-CL1

Responsibilities

Design and maintain scalable data pipelines and ETL/ELT workflows to support AI-powered features. Collaborate with cross-functional teams to deliver intelligent, scalable solutions.