1 to 25 of 33 Machine Learning Jobs in Berkshire

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 ...

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. … visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years ...

recruit an Information Scientist who will play a key role in advancing AI-enabled content analytics. In this position, you will apply NLP, machine learning, and information science methodologies to extract insights from biomedical literature, enhance R&D decision-making, and optimise scientific workflows. This is an exciting … implement AI-driven workflows for literature mining, summarisation, and trend analysis. Maintain and develop external information endpoints aligned with FAIR data principles. Apply machine learning and LLMs to improve information retrieval and automate content classification. Collaborate with cross-functional teams and act as a subject matter expert ...

impact of marketing investment on key outcomes such as customer acquisition, retention, and engagement. Apply a range of data science techniques - including regression, machine learning, and time-series modelling - to generate insights and support predictive and prescriptive analytics. Manage, clean, and integrate datasets from multiple internal and external … narrative that aligns with the evidence. Work closely with stakeholders across the business to scale and enhance media mix models using advanced statistical and machine-learning approaches. Here's what we're looking for: Proven experience in Big Data analysis, econometrics, statistics, and Marketing Mix Modelling within ...

research, working to unlock insights that accelerate discovery and improve decision-making across R&D. With a culture that values curiosity, collaboration and continuous learning, this is an ideal environment for someone eager to shape the future of data-driven science. Your new role This is initially … analysis using AI, NLP and advanced analytics tools. Develop and maintain external information endpoints aligned with FAIR data principles to support scientific interoperability. Apply machine learning and large language models to improve information retrieval, automate content classification and enhance knowledge discovery. Contribute to the design and evaluation ...

governance and performance requirements Contribute to best practice around AI engineering, MLOps and deployment patterns Required Experience Proven experience as an AI Engineer/ML Engineer delivering AI into production Strong Python development skills Hands-on experience with LLMs (commercial and/or open-source) Experience building APIs and services ...

understanding of geospatial technologies (e.g., ESRI, QGIS, FME, GeoServer). Experience with legacy GIS systems (Intergraph, Smallworld) and data migration. Familiarity with AI/ML applications in geospatial data quality and analytics. Agile delivery experience and ability to lead cross-functional teams. Desirable Skills/Knowledge/Experience Ensuring ...

/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience in ML/AI (feature engineering, MLOps, model monitoring), automation frameworks (RPA/BPM/runbooks), and security/compliance. Proven leadership in large-scale digital transformation ...

operational considerations: performance tuning, capacity planning, availability, disaster recovery, security compliance. Stay up to date with new ServiceNow features, modules, trends (e.g., AI/ML, data fabric, Now Assist), assess applicability, and recommend adoption where relevant Required Qualifications & Skills Experience : Typically 10+ years of relevant experience in IT, of which ...

Company description: At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We have a global commitment … delivery and service levels Strong communication abilities, especially in simplifying technical concepts for non-technical users and collaborating across teams Tech-curious mindset, comfortable learning prompt engineering and system behaviour, with a process-driven approach to managing issues, QA, and feedback loops Familiarity with AI systems, natural language processing ...

field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about ...

candidate will manage cross-functional teams, vendors, and stakeholders to ensure successful delivery of data modernization initiatives that enable advanced analytics, AI/ML use cases, and operational efficiency. Must have proven experience in large-scale transformation projects, strong knowledge of cloud data platforms, ETL/ELT processes, data governance ...

years + experience in corporate or agency environment with a B2B technical and consulting content portfolio, writing on key focus areas such as AI, ML, sustainability, net-zero, digital-twin across industry verticals Agency disciplines of time and client management Agile cross team processes working on multiple projects and quality ...

years + experience in corporate or agency environment with a B2B technical and consulting content portfolio, writing on key focus areas such as AI, ML, sustainability, net-zero, digital-twin across industry verticals Agency disciplines of time and client management Agile cross team processes working on multiple projects and quality ...

Keywords: Information Scientist, Content Analytics, Knowledge Management, Scientific Information, Biomedical Information, Information Science, Artificial Intelligence AI, Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning, Text Analytics, Literature Mining, Retrieval Augmented Generation (RAG), Prompt Engineering, Python, Knowledge Graphs, Ontologies, Semantic Technologies, London, Slough, Reading, Oxford, VRS9353SE ...

tools. o Develop and maintain external information endpoints, ensuring FAIR principles (Findable, Accessible, Interoperable, Reusable) and interoperability. . AI & Advanced Analytics: o Apply machine learning and large language models (LLMs) to enhance information retrieval and automate content classification. o Research and propose innovative AI solutions for scientific content ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

strategies Strong understanding of sales, marketing, and customer service business processes Experience with business process modelling, analysis, and optimization methodologies Familiarity with AI/ML concepts and their practical application in CRM contexts Excellent communication and presentation skills Strong problem-solving abilities and consultative approach to client engagement What ...

pipeline that directly impacts company growth What We’re Looking For Recent graduate or 1-2 years of professional experience Genuine curiosity about AI, machine learning, and enterprise technology Strong technical aptitude – you can understand complex systems and explain them simply Excellent communication skills and commercial awareness Resilience … coachability, and competitive drive Able to work onsite 5 days a week Eligible to work in the UK Why This Role Stands Out Deep Learning Curve : Five days on-site in our Newbury office means direct access to mentors, technical experts, and leadership. You’ll learn faster than ...

Finance & Operations Lead Rate Negotiable DoE Remote Initial Contract to Perm Your New Role Our client is a revolutionary AI/ML organisation who are at a rapid growth stage. To facilitate their growth, they are looking for a Finance & Operations Lead to manage their financial operations and provide broad ...

Embedded Linux engineer job, please apply. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today. ...