Senior Machine Learning Engineer (AI/ML Focus)

leute passen technologies • United Kingdom

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead the development of scalable AI/ML solutions, design robust ML pipelines, and spearhead projects across key AI domains.

Key Highlights

Lead the end-to-end development of scalable AI/ML solutions

Design, build, and maintain robust ML pipelines and APIs

Spearhead projects across key AI domains, including NLP, Computer Vision, and Generative AI

Technical Skills Required

Python PyTorch TensorFlow scikit-learn pandas Docker Kubernetes MLflow Azure

Benefits & Perks

£90,000 per annum

Fully Remote (UK-Based)

Job Description

Senior Machine Learning Engineer (AI/ML Focus)

Work Mode: Fully Remote (UK-Based)

Salary Package: £90,000 per annum

Key Responsibilities

Lead the end-to-end development of scalable AI/ML solutions—from research and prototyping to deployment and monitoring—solving complex business problems.
Design, build, and maintain robust ML pipelines and APIs, ensuring seamless integration of models into production systems and applications.
Spearhead projects across key AI domains, including NLP, Computer Vision, and Generative AI (e.g., LLMs, RAG applications), to deliver measurable impact.
Establish and champion MLOps best practices, leveraging tools like Docker, Kubernetes, MLflow, and Azure to ensure model reproducibility, scalability, and automated CI/CD workflows.
Collaborate cross-functionally with Data Engineering, Product, and DevOps teams to align AI initiatives with business goals and architectural standards.
Mentor junior data scientists/engineers and contribute to the team's technical strategy and knowledge base.

Required Qualifications

5+ years of professional experience in building, deploying, and maintaining production-grade AI/ML systems.
Expert proficiency in Python and core ML libraries (PyTorch/TensorFlow, scikit-learn, pandas). [Note: Removed Django/Flask from "strong proficiency" - see below].
Proven hands-on experience in at least two of the following: Deep Learning, NLP, Computer Vision, or Generative AI/LLM applications.
Solid experience with modern MLOps tooling: Docker, Git, CI/CD, and at least one major cloud platform (Azure preferred; AWS/GCP acceptable).
Strong foundation in software engineering for production: version control, testing, APIs, and familiarity with databases (SQL).
Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related quantitative field, or equivalent practical experience.

Preferred Skills & Assets

Direct experience with Generative AI tech stacks (e.g., LangChain, RAG architectures, LLM fine-tuning and deployment) is a significant advantage.
Experience with data pipeline/orchestration tools (Apache Spark, Airflow, dbt).
Knowledge of container orchestration (Kubernetes) and model lifecycle management (MLflow).
A portfolio of projects, contributions to open-source ML projects, or relevant publications.

Skills: data,models,django,natural language processing,design,cloud,ml,retrieval-augmented generation (rag),generative ai,nlp,langchain,computer vision,azure,language model’s (llm),data scientist

Job Overview

Posted Date Dec 24, 2025

Employment Type Full-time

Experience Level Mid-Senior level

Location United Kingdom

Category Machine Learning

Company leute passen technologies

Mentioned Skills

Similar Jobs

Explore other opportunities that match your interests