1 to 25 of 146 Permanent Machine Learning Jobs in the Midlands

balance pace with long-term architectural integrity. Innovation here means practical, scalable solutions, not ideas that stay on whiteboards. About the role As a Machine Learning Engineer within our Data & Analytics team, you'll be responsible for turning machine learning models into production-grade solutions that … across the business. Working at the intersection of software engineering, MLOps, and data science, you'll build the frameworks, pipelines, and services that enable machine learning models to be deployed, monitored, scaled, and embedded within customer and operational experiences. You'll work closely with Data Scientists to understand ...

turbine components including compressor and turbines. Develop automated workflows for engineering design, analysis and multidisciplinary optimisation (MDO). Develop 3D machine learning (ML) design tools and surrogate models for aerodynamic and aeromechanical applications. Integrate machine learning models into engineering workflows and design optimisation processes. Validate surrogate … mechanical engineering, aerospace engineering, or related field. 3+ years of experience (or relevant PhD experience) in gas turbine components design and analysis, or ML-enabled engineering applications. Strong knowledge of turbomachinery aerodynamic design and analysis, computational fluid dynamics (CFD), simulation and optimisation methods. Experience in aeromechanical analysis, including flutter, forced ...

transform the network for a clean energy future. Join us and help secure Britain's energy. About the role We're looking for a Machine Learning Engineer to build, deploy, monitor and maintain advanced analytics, forecasting and machine learning solutions that support the safe and efficient … meaningful challenges with direct impact on national infrastructure. You'll collaborate closely with Data Scientists, engineers, operators and technology teams while applying modern machine learning engineering practices in a production environment. What you'll be doing Deploy, monitor and maintain forecasting, optimisation, 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 ...

Power Electronics Researcher - AI & Machine Learning £45,000-£62,000 + Healthcare + Progression + Sponsorship + 33 Days Holiday + Life Insurance + Excellent Company Benefits Are you a Power Electronics Researcher looking to apply your research into AI and machine learning to the design … power electronics design, rather than simply using AI tools such as ChatGPT as part of their research. The Role: Research and develop AI/ML approaches for power electronics applications Design, model and simulate power electronic converter systems Investigate the use of AI and machine learning to optimise ...

help secure Britain's energy. About the role We're looking for a Senior Data Scientist to develop advanced analytics, forecasting and machine learning solutions that support the safe and efficient operation of Britain's gas transmission network. You'll take ownership of projects from concept through … meaningful challenges with direct impact on national infrastructure. You'll collaborate with engineers, operators and technology teams while applying cutting-edge data science and machine learning techniques in a production environment. What you'll be doing Develop forecasting, optimisation and machine learning models to solve operational ...

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. ...

areas of expertise, including Machine Learning, Applied AI, Generative AI, LLMs, RAG and Agentic AI. Key Responsibilities Design and develop AI/ML solutions from early-stage concepts through to production. Develop, evaluate and integrate AI/ML models and applications. Work across modern AI technologies including LLMs … Python and software engineering skills. Solid understanding of core AI and Machine Learning concepts. Hands-on experience developing and delivering AI/ML solutions. Good understanding of how AI/ML models work, rather than simply using pre-built models as black-box components. Degree in Computer Science ...

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. ...

across the business. Working on a broad range of initiatives spanning customer experience, pricing, personalisation, and operational performance, you'll use advanced analytics and machine learning to solve real business problems and deliver measurable commercial value. You'll be working on business critical projects from day one, identifying … that improve model performance Apply statistical techniques, feature engineering, and model tuning to create robust and scalable analytical solutions Collaborate with Data Engineers and ML Engineers to operationalise models and embed them into customer journeys, business processes, and technology platforms Communicate findings, recommendations, and model outputs clearly to both technical ...

organizations.? Our big ambitions mean that life at GlobalData Healthcare is fast paced, entrepreneurial and rewarding. Working together in an intellectually challenging environment, where learning is super-charged to keep us on our toes, the highly stimulating, fast-paced, global environment we operate in, and our bold ambitions result … unique learning opportunities for our people. The role… GlobalData Healthcare is building an AI-enabled competitive intelligence platform for the pharmaceutical market. It supports our consulting teams in tracking competitor drugs, clinical trials, regulatory decisions and market news for pharma clients, combining GlobalData's data, continuous monitoring of external ...

global organisation spanning 70 countries and one rooted in a culture of growth, opportunity, diversity. The Role: We’re looking for a Senior Lead ML Engineer with a proven track record of delivering successful, production‐scale machine learning solutions (ideally on AWS SageMaker). You will provide technical … leadership across ML lifecycle, including defining architecture, engineering standards, MLOps practices, and governance frameworks for a large‐scale matching platform. This is a hands‐on lead role requiring recent expertise in building, deploying, monitoring, and operating ML systems in production. Essential Experience Demonstrable success designing and delivering enterprise‐scale ML ...

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 ...

Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

large-scale consumer credit and credit bureau datasets to assess modeling suitability, identify data patterns, develop variables, and support scoring solutions. Apply statistical modeling, machine learning, pattern recognition, and performance inference techniques to identify effective modeling approaches and improve model performance. Anticipate, investigate, and resolve data, modeling … Earn the Respect of Others. The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences. Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so. An engaging ...

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 ...

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist/Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

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 ...

design and validation of Agentic AI-driven product capabilities within Protégé in PatentSight. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex Intellectual Property (IP) workflows. You will help drive experimentation, modeling, and evaluation, partnering … align solutions with user needs. Requirements: Degree in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.). Strong experience in machine learning, NLP, and LLM-based modeling. Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience ...

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 ...

pace and become job-ready in as little as a few 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 … 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 ...

activities at the intersection of AI, simulation, and mechanical engineering. Develop AI-enabled engineering simulation capabilities. Support Digital Twin development and deployment. Apply machine learning techniques to improve simulation accuracy and efficiency. Bridge research and production deployment of advanced modelling solutions. Collaborate with engineering, systems, and software teams … technical programmes. Required Skills: Mechanical engineering, simulation, or computational modelling background. Experience with FEA, CFD, and/or multiphysics simulation. Experience applying AI/ML techniques to engineering and simulation problems. Experience working with engineering simulation platforms such as: ANSYS Abaqus COMSOL Experience designing and executing research programmes and validation ...

many more - giving our team exposure to real-world, high-impact projects. About the Role We’re looking for a Senior Data Scientist/ML Engineer to join a UK-based client in the healthcare and pharmacy domain. The role combines forecasting and machine learning with … optimize scheduling and resource allocation. The goal is to build a scalable, data-driven platform that improves operational efficiency. Responsibilities: Design, train, and deploy ML models for time-series forecasting and related data tasks Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure) Develop and optimize ...