National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer

Hinckley
1 week ago
Create job alert

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems.

We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include:

Search relevancy engineering.
Conversational AI Development: Design, train, fine-tune, and deploy LLMs with reasoning capabilities.
Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources.
Model Fine-Tuning & Training: Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT).
Model Deployment & Inferencing: Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks.
Multi-Agent Systems: Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy.
AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS.
End-to-End AI Product Development: Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring.
Full-Stack Integration: Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js.
Vector Databases & Search: Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch.Required skills & experience:

3-5+ years in machine learning and software development
Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers
Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments.
Full-stack experience (React, TypeScript, Node.js) and API development.
Familiarity with vector search and multi-agent orchestrationApply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Leicestershire.

MLE(phone number removed)AM

INDAM

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Defence Sector - Cambridge

AI Visual Specialist /  Machine Learning Engineer

AI Research Engineer, PhD

National AI Awards 2025

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Robotics Jobs—And How to Avoid Them

Edge-to-edge automation means UK employers need robotics talent—fast. Learn the ten biggest errors applicants make, plus proven fixes, expert tips and live resources to help you land your next robotics job. Introduction Whether it’s an autonomous-vehicle start-up in Oxford, a surgical-robot scale-up in Cambridge or an industrial-automation integrator in the North-West, the market for robotics jobs keeps expanding. New vacancies appear daily on RoboticsJobs.co.uk, yet hiring managers still reject most CVs long before interview—usually for mistakes that take minutes to fix. We reviewed recent adverts, spoke with UK robotics recruiters and curated the most-clicked resources on leading career sites. The result is a definitive list of the ten costliest mistakes candidates make, each paired with an actionable remedy and a live link for deeper reading. Bookmark this checklist before you press Apply.

Top 10 Best UK Universities for Robotics Degrees (2025 Guide)

Robotics is no longer confined to factory floors. Swarms of drones survey farmland, surgical robots assist clinicians, and humanoid assistants navigate busy warehouses. The UK leads Europe in advanced robotics research and commercial spin-outs, thanks in large part to universities that combine engineering depth with real-world testbeds. Below you’ll find ten institutions whose 2025 undergraduate or postgraduate pathways set the pace in robotics.

How to Write a Winning Cover Letter for Robotics Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for robotics jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the robotics sector. When applying for a robotics job, your cover letter is an essential component of your application. Robotics is a rapidly growing field with applications across various industries, from healthcare to manufacturing, and your cover letter provides you with the opportunity to showcase your technical expertise, problem-solving abilities, and passion for robotics. Writing a cover letter for robotics roles can be challenging, but with the right structure, you can highlight your strengths effectively. Whether you're new to robotics, transitioning from another role, or looking to advance your career, this article will guide you through a proven four-paragraph structure. We’ll provide sample lines and practical tips to help you create a compelling cover letter that grabs the attention of hiring managers in the robotics job market.