AI Engineer

compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is £50,000 to £65,000. * This position is 100% remote, and we offer a high-performance laptop computer, options for wireless headset or external speaker, up to two 24" 2K monitors, and a mobile phone for business use. * Life assurance * Private Medical Health Cover (currently with BUPA) * Group Income Protection * 25 days annual leave * Contributory pension after completion of three months' service and the option to join the Workplace Pension in line with statutory rules * Flexible Benefits including Season Ticket Loans and Ride 2 Work. * Buy and sell up to 5 days of Holiday per year * Roll over 5 days of Holiday per year * Competitive salary (including bonuses and/ or team incentives) and benefits package * Refer a friend, earn a bonus! * Career progression and training opportunities What You Will Bring To The Role *, The primary responsibilities involve constructing AI development and production infrastructure, implementing analytical tools, curating datasets, conducting experiments, and productizing machine learning solutions. This includes developing high-quality code for seamless integration of Data Science tools into company products and monitoring model performance.

Python, AI, Machine Learning, Code Review, Unit Testing, CI/CD, Azure DevOps, GitHub, Docker, ML Pipelines, PyTorch, TensorFlow, Scikit-learn, LLM Deployment, RAG Architectures, NLP, KLDiscovery offers a fantastic opportunity for you to use your talents to make a meaningful impact in a fast-paced, growing technology and services organization! KLDiscovery is a global leader in eDiscovery, compliance, and data management solutions, empowering law firms, corporations, and government agencies to tackle their most complex legal and regulatory challenges. We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning. Work Status: Remote, work from home opportunity. Is This Role For You? The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and, 3+ years developing production Python code with demonstrated proficiency in code review practices, unit testing (pytest, unittest), and maintaining codebases >10K lines * Strong CI/CD pipeline experience using Git, Azure DevOps/GitHub, Docker * Hands-on experience building and maintaining ML pipelines including ETL processes, data versioning and model deployment * Experience with modern ML frameworks: PyTorch or TensorFlow for model development, scikit-learn for classical ML * Working knowledge of LLM deployment patterns including prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and fine-tuning approaches * Proficiency with NLP libraries: Hugging Face Transformers, spaCy, or LangChain * Experience managing datasets >1TB and implementing data quality validation frameworks * Cloud platform experience (Azure preferred) including compute, storage, and managed ML services * Familiarity with model quantization, optimization techniques (ONNX, TensorRT), and cost-efficient inference strategies * Experience leveraging AI Code Assistants/Agents like Claude Code Business Travel & Flexibility Requirements * This position requires the individual to be flexible to our client and team needs for out-of-hours work and weekend work where applicable. Highly Valued Skills * Vector database implementation (Pinecone, pgvector) with experience scaling to millions of embeddings * Production experience with embedding models (OpenAI, Cohere, sentence-transformers) and semantic search systems * Modern Python practices: type hints, async/await, pydantic * Experience using AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) to accelerate development workflows * SQL expertise (PostgreSQL) including query optimization and database design * Experience with model monitoring, A/B testing frameworks, and performance tracking in production * Agentic AI patterns and multi-step reasoning systems * C# for integration with existing .NET systems * eDiscovery, legal tech, or document processing domain knowledge Professional Capabilities * Clear technical communication with both technical and non-technical stakeholders * Self-directed problem-solving with ability to scope and deliver projects independently * Collaborative approach to code review and knowledge sharing * Detail-oriented with strong testing discipline Education * Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field (Master's preferred) * Equivalent professional experience considered Language * English fluency (written and verbal) Who We Are KLDiscovery provides technology-enabled services and software to help law firms, corporations, and government agencies solve complex data challenges. With offices in 26 locations across 17 countries, KLDiscovery is a global leader in delivering best-in-class data management, information governance, and eDiscovery

monitoring the performance of machine learning models. A Day in The Life * Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services. * Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering. * Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions. * Conduct research, provide recommendations, and implement best practices in data science and data engineering. Driving Career Growth, Benefit Excellence: The KLD Advantage At KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual