Find Your Dream Machine Learning Job in United Kingdom

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 orchestration

Apply 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)AMR

INDAMS

New hybrid Machine Learning Engineer job based in Cambridge, Cambridgeshire! We re looking for a talented Machine Learning Engineer to join a cutting-edge team based in Cambridge, Cambridgeshire developing real-world AI solutions - including ultra-low-latency speech recognition and large-scale foundation models. Key responsibilities and requirements for the Machine Learning Engineer job:

• Train and deploy SOTA models on production-scale datasets
• Optimize models using pruning, quantization, distillation
• Enhance speech features (diarization, multilingual, keyword boosting)
• Scale training workflows across multi-GPU systems
• Apply and influence the latest ML research

Key skills / experience required for the Machine Learning Engineer job:

• MSc/PhD in a relevant field with strong ML/deep learning foundations
• Hands-on experience with PyTorch or TensorFlow
• Expertise in model training at scale and GPU systems
• Knowledge of model compression and optimization techniques
• A background in speech recognition would be beneficial

This is a great opportunity for a Machine Learning Engineer to join a passionate team of engineers developing ML systems that perform at scale and speed in Cambridge, Cambridgeshire.

Candidates must live within 1 hour of Cambridge and be able to commute to the office 3 days per week.

Apply now for the hybrid Machine Learning Engineer job in Cambridge, Cambridgeshire by sending your CV!

Spearheading the integration of machine learning into cutting-edge electronics

This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of products and radically alter the shape, performance and effectiveness of existing ones. As industry goes through a machine learning revolution you can be here, leading the charge.

You will work across the whole machine learning development lifecycle from initial concepts through data collection, cleaning and preparation to prototyping, testing and evaluation. With your models integrated with leading edge electronics, the final products are fully functional prototypes and demonstrator units manufactured at small scale. What s special about this group is they do this dozens of times per year working across multiple domains. You can be working on computer vision for one project and generative models for the next.

Requirements:

• Strong knowledge of Python and its use in machine learning including hands-on experience building products with modern ML frameworks such as TensorFlow and PyTorch
• Broad knowledge of machine learning techniques across multiple domains and the ability to transition into new domains quickly
• A top degree in a STEM subject
• UK national

While not required, experience deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc).

Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work environment that encourages teamwork and respect for individuals expertise. Benefits include private medical insurance, generous pension scheme and access to local social and sports clubs. Please note, you are required to be onsite full-time for this position.

Another top job from ECM, the high-tech recruitment experts.

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27413) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Data Science & Machine Learning - Elite Talent Wanted

Top End Salary (D.O.E)

We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals. If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting-edge technology, we want to hear from you.

What We're Looking For

• First-Class Degree from a leading institution (e.g., Oxbridge, St Andrews, Ivy League, top global universities)
• Strong foundation in AI, machine learning, or data science
• Background in mathematics, statistics, computer science, or a related field
• Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus
• Analytical mindset with a passion for innovation and problem-solving
• Willingness to relocate to Glasgow

What You'll Do

• Work on high-impact AI projects with real-world applications
• Collaborate with a team of elite scientists and engineers
• Contribute to the development of cutting-edge models and algorithms
• Help shape the future of AI in a fast-paced, intellectually stimulating environment

Why Join?

• Be part of a world-class team at the forefront of AI innovation
• Access to state-of-the-art tools and infrastructure
• Career-defining opportunities and rapid progression

In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy.

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 orchestration

Apply 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

Machine Learning Research Engineer

A brilliant opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for industry-leading, machine-learning software in Cambridge, UK. This unique opportunity is ideally suited to those with a Ph.D. relating to Machine Learning who have a keen interest in Natural Language Processing and Computer Vision and its application to an ever-advancing technical landscape.

Location: Cambridge - 3 days in office, 2 days remote

Salary: Up to £100,000 depending on experience

Requirements for Machine Learning Research Engineer

• A Ph.D. from a world-leading University in a Computer Science, Physics or Maths with a keen demonstrable interest in Machine Learning / AI
• Excellent academics throughout including a minimum of a 2.1 degree from a leading university, AAB at A-Level
• Published papers
• Good understanding of software engineering concepts
• Ability to code in Python
• Experience working with large data sets (desirable)

Responsibilities for Machine Learning Research Engineer

• Join a small team responsible for investigating the latest research in machine learning algorithms largely within the NLP and Computer Vision fields
• Make suggestions based on the feasibility of research to help shape future projects and products
• Prototyping research concepts
• Determining output quality, efficiency, and feasibility compared with other techniques

What this offers

• Working for an industry-leading software company who have a fantastic track record of successfully hiring and training graduates
• Highly interesting work researching the next phases of cutting-edge, machine-learning software
• A good remuneration and benefits package

Applications

If you would like to apply for this unique opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We re committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing (if this email address has been removed by the job-board, full details for contact are available on our website).

RedTech Recruitment Ltd focus on finding roles for people leaving academia entering industry. Even if the above role isn t of interest, please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.