1 to 25 of 76 Permanent Machine Learning Jobs in the East of England

Overview Machine Learning Research Engineer – NLP/LLM Expert. 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. Ideally suited to those with a Ph.D. relating … cutting-edge machine-learning software A good remuneration and benefits package Applications If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. We are committed to an inclusive ...

Learning Engineer (Python AWS MLOps) Remote UK to £105k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team … Learning Engineer with advanced Python coding skills and a strong knowledge of AWS You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcome technical challenges You have a good knowledge ...

create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, help lead the UK through it. You will work across the whole machine learning development lifecycle from initial concepts and architecture decisions through … anything in between. 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 ...

Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role … engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. ...

large self-supervised ones, supportingSpeechmaticstowards being the mostaccuratespeech recognition system globally. It also ensures their deployment into production, working with the latest developments in ML, but also with the best engineering practices for software engineering and model serving. This is a hands-on, technical leadership role with high ownership. … will develop and deploy advanced speech systems that power our products as well as co-define the technical vision for ML, drive innovation, and mentor engineering teams. Your work will span the entire codebase. What You’ll Do Develop and deploy ML models, translating research into scalable, maintainable code ...

research and practical engineering. You will help transform ambitious research ideas into scalable, robust systems, with projects spanning AI-driven semiconductor design and fundamental machine learning research. Current areas of focus include LLMs, Reinforcement Learning, Generative Models and optimisation techniques for deep learning. The Role … colleagues and contribute to a collaborative environment built around technical excellence, scientific curiosity and practical impact. Key Responsibilities Lead the engineering delivery of complex machine learning and AI research projects. Translate research objectives into robust, scalable technical solutions. Implement and optimise advanced machine learning algorithms. Work ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

across large codebases, contributing to CI/CD infrastructure, and shaping technical direction through thoughtful design and mentoring in a technically demanding environment spanning ML frameworks, infrastructure, and AI accelerator hardware. The Team The ML QA team is composed of highly skilled software engineers with a strong focus on automation … wider software organization. Operating in a fast-paced environment, the team plays a critical role in ensuring reliability, performance, and maintainability across the ML software stack, helping to deliver robust and high-quality products to customers. Responsibilities and Duties Design, implement, and maintain robust test infrastructure and automation ...

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly … that requires attendance in the Cambridge office at least 2 days a week.**What will I be doing:**As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services ...

Senior Researcher, AI - PhD/LLM/Deep Learning Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods for deep learning, reinforcement learning and generative models. This a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading significant research projects in machine learning and AI Developing and implementing novel algorithms and solutions for team and company initiatives Providing technical guidance ...

Research Engineer - AI/ML/LLM We are partnered with a global leader in the semiconductor industry. The team is looking to hire a Research Engineer to contribute to cutting-edge AI projects spanning both applied and fundamental research, with a focus on applying AI to semiconductor design … This is a permanent opportunity based in London or Cambourne, UK. Key responsibilities for this Research Engineer position: Implement and test research ideas across machine learning and AI. Build prototypes and support experiments for team and company projects. Collaborate with researchers to translate theoretical models into practical systems. ...

Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics … create new classes of devices for the defence and security sectors. As the world goes through a new industrial revolution powered by AI and ML, h... CRWG1_UKTJ ...

Hybrid - 2/3 Days On-Site) | Up to £65,000 + Bonus & Benefits An exciting opportunity has become available for an AI/ML Researcher to join an advanced research and innovation team developing next-generation Artificial Intelligence solutions for complex Defence, National Security and commercial challenges. This role … both technical and non-technical audiences Experience producing technical reports or research documentation Publications, open-source contributions or recognised research within AI/ML would be highly advantageous but not essential Must be eligible for Security Clearance (SC) and able to satisfy UK security vetting requirements ...

PEOPLE in Cambridge is looking for a Machine Learning Research Engineer specializing in NLP and LLM. The role involves researching new concepts for cutting-edge machine-learning software while working alongside a small team. Ideal candidates will have a Ph.D. or relevant degree, expertise in machine learning, and proficiency in Python. This opportunity offers a hybrid work model, competitive salary up to £100,000, and a range of benefits in an inclusive work environment. #J-18808-Ljbffr ...

exciting opportunity has arisen for an experienced Business Analyst to join a leading global professional services organisation, supporting the transformation of Audit through AI, Machine Learning and Automation. Working within the Audit Technology Innovation & Deployment team, you'll bridge the gap between business stakeholders and technical teams, ensuring … document business requirements Translate business needs into user stories and functional requirements Work closely with Product Managers, Engineers and Data Scientists Support AI and Machine Learning initiatives across Audit Facilitate workshops and stakeholder engagement sessions Assist with product discovery and solution design Support UAT, user adoption and continuous ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...