1 to 25 of 112 Machine Learning Jobs in the West Midlands

Amazon Development Centre (London) Limited We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry‐leading language technology powering Rufus, our AI‐driven search and shopping assistant, helping customers with their shopping tasks at every … from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data‐driven insights to continuously improve our systems. Key Job Responsibilities As a Data Scientist, you will ...

Description Summary Become part of a winning team and help to deliver the Green Energy transition. This position will be responsible for developing ML & AI methodologies. Main focus of the role: APOW (Automated Process and Optimisation Workbench) - tool reconstruction, develop this tool and develop new ideas. Programming Machine Learning … friendly and productive working environment. Job Description Roles and Responsibilities We require for a computer science engineer. This role will include the study of ML-AI techniques for our engineering applications. The scope of work is expected to be, but not limited to AI Engineer and Machine Learning ...

Data Scientist Work across customer, claims, strategy and underwriting challenges, developing machine learning models and working on GenAI use cases and insight projects to drive business value Take ownership of varied analytical projects and build your career within an established and growing Data Science team Hybrid 80% homeworking … predictive models Experience with modern business intelligence platforms such as Power BI, Tableau or Qlik Sense is desirable though not essential, Experience with unsupervised ML techniques such as clustering is desirable Cloud, basic data engineering and deployment experience is desirable including Git, continuous integration and delivery, automated testing and model ...

evolution a success. Bring your experience. Bring your passion. Bring your drive. We want it all. You will be designing, developing and testing quality machine learning and data engineering solutions as well as s upporting the development, deployment and monitoring of machine learning models and data …/Python/Spark Experience of industrialising and scaling machine learning models. Experience in deployment, monitoring, retraining and lifecycle management of ML models. Understanding of containerisation and infrastructure tooling (e.g., Docker, Kubernetes – exposure beneficial) Exposure to MLOps practices such as model lifecycle management, monitoring, observability, and pipeline automation. ...

successful candidate will help shape the evolution of Insights Hub from foundational time-series data visualisation and reporting through to advanced statistical analysis, modelling, machine learning and predictive analytics capabilities. The analytics capability is expected to evolve in stages, beginning with establishing access to manufacturing and test data … through time-series visualisation and traceability, before advancing into variable-to-variable correlations, process characterisation, feature engineering, statistical modelling, predictive analytics and machine learning. The successful candidate will play a leading role in defining and delivering this capability roadmap. In summary, the key deliverables for this role are: 1. ...

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 ...

within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions. Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling. Effectively utilise AI coding agents and tooling to accelerate the speed of development. ...

within the Research & Development function of the Insights team. The primary focus of this role is to design and build world-leading statistical and machine learning models that provide a competitive advantage to England teams. The successful candidate will develop innovative methodologies to model diverse aspects of international … problems, using the freedom to experiment with many different approaches on long-term projects to provide genuinely novel solutions. Research emerging methods across statistics, ML/AI, and adjacent fields to evaluate their applicability to football modelling. Effectively utilise AI coding agents and tooling to accelerate the speed of development. ...

large-scale datasets and improve database support Strengthen developer tools like Jupyter notebooks and SQL workbenches Tech stack: Java, Python, AngularJS, Angular AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference. Build next-generation features like cross-provider … deliver fast and flexible experiences Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration. Build tools to automate retraining, monitoring, and deployment of ML models Enhance collaboration features for ML stakeholders Tech ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills ...

Replicate, Qlik Compose, Databricks, Informatica, or SAS. Understanding of data modelling methodologies, including Kimball, Data Vault, and Lakehouse. Awareness of Data Science, AI, and Machine Learning principles and practices. Experience with testing frameworks, standards, and quality assurance practices. Experience deploying, industrialising, and scaling Machine Learning models. … Hands-on experience with Machine Learning frameworks such as TensorFlow or PyTorch. Experience leading, coaching, and mentoring colleagues, with oversight of data product delivery within an Agile environment. About us In 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with ...

million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises … Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science ...

Remain hands-on with architecture, technical design and implementation. Provide technical leadership across complex data initiatives. AI & Innovation Drive the adoption of Generative AI, Machine Learning and Intelligent Automation. Develop innovative solutions that create measurable business value. Evaluate emerging technologies and identify practical commercial applications. Embed responsible … enterprise-scale data platforms. Strong expertise in Microsoft cloud data technologies. Experience implementing Data Governance and Data Quality frameworks. Demonstrable success delivering AI, Machine Learning or Advanced Analytics initiatives. Excellent stakeholder management and communication skills. Experience operating in fast-paced, growing organisations. Strong commercial awareness with a focus ...

Role overview The Senior Data Scientist will lead the development of advanced analytical and machine learning solutions, guiding others in data science methods and ensuring outputs are robust, ethical and useful. The role combines technical delivery, stakeholder collaboration and product-minded thinking.You will work with multidisciplinary teams across … users. Key responsibilities Lead the design, development, validation and deployment support of data science models and analytical products. Apply advanced techniques such as machine learning, NLP, forecasting, optimisation or simulation where appropriate. Guide colleagues on data preparation, feature engineering, model selection, validation and interpretation. Work with data engineers ...

Role overview The Data Scientist will use data science, statistics and machine learning techniques to generate insight and develop practical solutions for AWTG and its clients. The role works with multidisciplinary teams to explore data, build models and communicate findings clearly. You will work with multidisciplinary teams across … data to identify patterns, trends and opportunities. Develop data science outputs such as models, reports, dashboards, forecasts or decision-support tools. Apply appropriate statistical, machine learning or analytical techniques to solve business or user problems. Work with data engineers, analysts, developers and product teams to deliver usable data ...

Assistant and Associate Professor positions in Statistics and Machine Learning at Warwick Outstanding and enthusiastic academics are sought by the Department of Statistics at Warwick, one of the world’s most prominent and most research active departments of Statistics. The Department has close relations with the co-located … Warwick Business School. Four permanent posts are available, which reflects the strong commitment of the University of Warwick to invest in Statistics and Machine Learning: Associate Professor, Statistics Applicants should have evidence or promise of world-class research excellence and ability to deliver high quality teaching across ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

organisation's data platform, including data warehouses, lakehouses, master data management solutions, and API frameworks Design the data foundations required to support AI and machine learning initiatives, ensuring high-quality, trusted, and accessible data. Partner with Data Engineering, Data Governance, and Analytics teams to ensure architecture standards … Data Mesh concepts API-led architectures Event-driven integration patterns Experience architecting solutions that support both operational reporting and advanced analytics, including AI and machine learning workloads. Strong knowledge of Azure-based data platforms and cloud architecture principles. Familiarity with Master Data Management (MDM) frameworks and technologies. Experience ...

forefront of AI innovation,trusted by Microsoft,AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data.We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner with … 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production,including prompt engineering, retrieval-augmented generation (RAG),modelevaluation,andmonitoringusing metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding ...

GDPR, data privacy, and information security Awareness of data models in a Medalion Architecture Experience building Semantic, Metric or Analytic models Experience of building Machine Learning models Any experience in MLOps or operationalising Machine Learning Knowledge of Data Quality Frameworks in Python Qualifications: Industry focused degree ...

Overview We are seeking a highly skilled AI Engineer to design, build, and deploy advanced AI and machine learning solutions. The role involves developing predictive models, implementing deep learning architectures, and integrating AI capabilities into enterprise systems. You’ll work closely with data scientists, engineers, and business … leaders to create intelligent systems that solve complex business problems. Job Description ✔️ Design and implement machine learning and AI algorithms for enterprise applications. ✔️ Build and train deep learning models using TensorFlow or PyTorch. ✔️ Process and analyze large-scale structured and unstructured datasets. ✔️ Apply natural language processing ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

critical role in ensuring the safety and soundness of the firm's models. MRM validates a diverse set of models, including AI and machine learning models, used within the firm. This role offers the opportunity to significantly contributions to the firm's overall model risk management framework … quantitative field. Programming expertise in Python, including experience with relevant data science libraries (e.g., NumPy, Pandas, TensorFlow, Pytorch). Understanding of statistical modelling and machine learning algorithms Excellent analytical, problem-solving, and communication skills. Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment. ABOUT GOLDMAN ...