15 of 15 Machine Learning Jobs in East Anglia

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 ...

Reliability Engineer An exciting opportunity for a Site Reliability Engineer to join an award-winning, Cambridge-based AI software company at the forefront of machine learning innovation. As a Site Reliability Engineer, you will play a key role in maintaining and enhancing cloud infrastructure, monitoring systems, and deployment … processes, ensuring the reliability, scalability, and security of a sophisticated machine learning platform deployed across cloud environments. Location: Cambridge, hybrid working model 3 days in office not easily reachable via public transport from London Salary: £40,000 - £60,000 per annum, depending on experience Requirements for Site Reliability ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

with likeminded peers. As part of your Data Science career, you will be expected to develop and understand a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems, adding demonstrable commercial value … your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. By month 24 you will have had the opportunity to work on a wide variety ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

data science solutions including data ingestion, feature engineering, model development, deployment, and monitoring Define logical and physical architectures for analytics platforms, ML pipelines, and AI products Ensure solutions are scalable, reusable, secure, and cost effective Select appropriate ML/AI techniques (e.g., regression, classification, NLP, forecasting, clustering) 2. Data & Analytics … Development & Deployment Strategy Guide data scientists on: Model selection and evaluation strategies Experiment tracking and reproducibility Design MLOps frameworks for: CI/CD of ML models Model versioning and governance Monitoring drift, accuracy, and bias 4. Technology & Platform Governance Define standards for: Programming languages and frameworks Cloud vs on prem ...

Skills and Experience Essential Proven track record as a Product Manager in a digital or technology-led environment Hands-on experience delivering AI/ML-powered products Strong understanding of: Large Language Models (LLMs) NLP, classification, extraction, summarisation Retrieval-Augmented Generation (RAG) or similar architectures Experience working in regulated environments ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

awareness programs on data governance Promote a culture of data stewardship and accountability Manage data governance platforms (e.g., Collibra, BigID) Leverage AI/ML tools for automated compliance and classification Monitor compliance and effectiveness of governance policies Present dashboards and reports to senior leadership Your Profile Essential Skills/Knowledge ...

Contract (Inside IR35) Duration: 6 Months Job Summary: Our client is seeking a skilled and innovative Generative AI Engineer to join our AI/ML team. In this role, you will design, develop, and deploy cutting-edge generative models-including LLMs, diffusion models, and GANs-to solve real-world problems … ethical and responsible AI development , including bias mitigation and safety evaluations. Essential Skills, Experience, and Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine ...

functional teams to deliver outcomes across Master Data Management (MDM), data integration, data engineering platforms, and discovery/analytics services (BI/AI/ML). This is a delivery leadership role with strong technical depth and executive presence. Ideal for: A seasoned delivery leader who can translate strategy into … data lake/lakehouse, orchestration (Airflow/MWAA), ETL/ELT (e.g., Glue), DQ frameworks. Discovery services: BI/analytics (Power BI/Tableau), ML feature pipelines, self-service data products. Oversee architecture conformance, security/compliance (PII/PHI, GDPR), and cost optimization. Ensure observability (logging/metrics ...