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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer - **Company:** Lever - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Computer Vision, Microsoft Azure, Cloud Computing, Code Review, Computer Programming, Continuous Integration, Information Engineering, Github, Python (Programming Language), Machine Learning, OpenCV, Open Source Technology, Performance Tuning, Tensorflow, Google Cloud, Cloud Platform System, Feature Engineering, Data Ingestion, Pytorch, Large Language Models, Prompt Engineering, Apache Spark, Deep Learning, Pandas, Matplotlib, Scikit Learn, Information Technology, HuggingFace, Plotly, Machine Learning Operations, Virtual Agents, Spacy, Artificial Intelligence Markup Language (AIML) - **Published:** June 18, 2026 - **Apply:** https://jobs.lever.co/3pillarglobal/3c2d921b-0bdf-4e82-a8c7-8d4d375ebacb ## About the Role * Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; a Master's degree is preferred. * 8+ years of experience in building AI models with ML, NLP and deep learning. * Proven track record of successfully delivering machine learning projects from concept to production. * Strong leadership, interpersonal skills, and ability to effectively communicate technical concepts to non-technical stakeholders. * Excellent problem-solving abilities and attention to detail. * Strong knowledge of AI/ML techniques, algorithms, and frameworks. Experience building and deploying ML models (classification, NLP, forecasting). * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Strong programming skills in Python, and familiarity with libraries such as PyTorch, TensorFlow, and Scikit-Learn. * Exposure to Matplotlib, Seaborn, or Plotly * Solid understanding of machine learning concepts, algorithms, and statistical methods. * Experience with computer vision libraries (OpenCV, etc.) and NLP libraries (spaCy, Hugging Face, etc.). * Knowledge of MLOps practices and experience with CI/CD tools. * Good understanding of using LLMs via APIs or fine-tuning open-source models. * Hands-on with data prep (Pandas, Spark), feature engineering, model training and tuning. * Knowledge of vector stores, embeddings, and LLMOps tools (LangChain, LlamaIndex, etc.). * Experience with at least one cloud platform and CI/CD for ML (GitHub Actions, MLflow, etc.). * Exposure to monitoring frameworks (evidently.ai, whylogs, or custom dashboards). * Proven ability to work independently and with a team. * Extensive expertise in refining LLMs, implementing RAG architectures, Weaviate vector databases, and advanced prompt engineering., * Led teams building GenAI, LLM, or agentic AI applications. * Experience building reusable AI frameworks or platforms. * Experience with vector databases (FAISS, Pinecone), RAG, Hugging Face. * Contributions to research papers, blogs, or open-source projects. ## Description As a Senior AI/ML Engineer, you will architect and oversee end-to-end AI solutions-from data ingestion to model deployment. You'll mentor teams, guide AI strategy across products, and ensure technical excellence across all AI projects., * Lead a team of AI ML engineers, providing technical guidance, mentorship, and support. * Collaborate directly with client teams to understand business problems, explain technical solutions clearly, and lead the implementation of AI/ML features while representing 3Pillar's technical excellence. * Lead technical execution of AI/ML projects from experimentation to production. * Translate business problems into AI/ML solutions and manage solution delivery. * Guide team members on model selection, evaluation, fine-tuning, and Gen AI usage. * Collaborate with product, data engineering, and software teams for integrated delivery. * Conduct code reviews, ensure best practices, and contribute to model deployment pipelines. * Maintain documentation and model governance as per responsible AI standards. * Define project goals, scope, and deliverables in collaboration with stakeholders. * Create scalable architecture and robust machine learning systems that meet business objectives of a software product. * Collaborate with cross-functional teams to integrate machine learning solutions into existing products and workflows. * Establish best practices and standards for machine learning development within the organization. * Monitor and evaluate the performance of machine learning models in production and implement improvements as needed. * Stay updated on industry trends and advancements in machine learning technologies. * Implement, deploy, optimize AI/ML algorithms and models into production environments. * Conduct experiments, perform data analysis, and present findings to stakeholders. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Navigating the AI Revolution in Software Development](https://www.wearedevelopers.com/videos/1266-navigating-the-ai-revolution-in-software-development) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Solving the puzzle: Leveraging machine learning for effective root cause analysis](https://www.wearedevelopers.com/videos/1518-solving-the-puzzle-leveraging-machine-learning-for-effective-root-cause-analysis) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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