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KLDiscovery

AI Engineer

United Kingdom
£50k – £65k/yr
Posted 3 months ago
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AI Engineer

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

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What You Will Bring To The 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

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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.

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Skills

Python
Machine learning
PyTorch
TensorFlow
Scikit-learn
LLM deployment
Prompt engineering
RAG
Hugging face transformers
SpaCy
LangChain
CI/CD
Docker
Azure
SQL
Data engineering

Location

United Kingdom

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