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 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 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 ToThe Role
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 solutions to support the litigation, regulatory compliance, and internal investigation needs of clients. Our Nebula Ecosystem provides powerful end-to-end eDiscovery and enterprise-grade information governance. Through its global Ontrack data recovery business, KLDiscovery delivers world-class data recovery, disaster recovery, email extraction and restoration, data destruction, and tape management.
We Provide Equal Employment Opportunity.
At KLDiscovery we believe that inclusion and diversity make us stronger. We are committed to fostering an inclusive environment for all employees that enhances wellbeing and belonging. We welcome and celebrate individuals of all backgrounds, experiences, and perspectives.
We do not discriminate on the basis of race, color, religion, gender, pregnancy, gender identity, sexual orientation, national origin, age, disability, genetic information, veteran status, or any other protected status. We are happy to support you with any accommodation request at any stage in our hiring process.
Originally posted on Himalayas