1 to 25 of 54 Remote/Hybrid 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 ...

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 ...

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 ...

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 ...

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, 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 ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

ingesting, cleaning and transforming data from varied sources into a usable form Solid grounding in at least one of simulation, optimisation, statistical forecasting or machine learning, with willingness to develop across the others Writing maintainable, tested Python suitable for use in a product back end, not just notebooks … willingness to travel to client sites (T&S paid) Nice-to-have Skills Experience in more than one of simulation, optimisation, statistical forecasting or machine learning Monte Carlo simulation, Bayesian methods or uncertainty quantification Experience building APIs or back-end services in Python (e.g. FastAPI) Experience building front ...

Workplaces list. about what it’s like working at Capital One UK. About the Role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group … solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Familiarity with Open Banking or Credit Bureau data. Experience in producing reliable ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage … pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding ...

with teams using Informatica and other integration technologies to design robust data integration and transformation processes. Identify opportunities to incorporate emerging capabilities such as machine learning and AI into data solutions where appropriate. Provide architectural guidance and support throughout the full solution lifecycle, from initial design through … reporting and visualisation. experience using Power BI for dashboards and business intelligence reporting. Familiarity with Informatica for data integration and transformation. Understanding of machine learning and AI concepts and their potential application in data solutions. experience working on regulatory change or compliance-driven programmes. background in large-scale ...

Data solutions, helping businesses unlock the potential of their data, improve efficiency and embrace emerging technologies. With expertise spanning artificial intelligence, machine learning, data analytics, automation and digital transformation, our client works closely with organisations to identify business challenges and deliver practical, commercially valuable solutions. As their … teams. Degree-level education. Desirable Experience Includes: Previous business development experience within IT services, data services, AI or technology consultancy. Knowledge of artificial intelligence, machine learning, automation or digital transformation. Experience using HubSpot or Mailchimp. An IT-related degree or knowledge of project management methodologies. Benefits: Uncapped bonus. ...

drive innovation & revenue through the development & delivery of revenue-generating/client-facing data engineering solutions used across the agency. The Senior Data and ML Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency …/CD pipelines. Practical data science experience building statistical and machine learning models, including feature engineering, hyperparameter tuning. Experience productionising ML and GenAI solutions (MLOps): deploying end-to-end model pipelines and establishing evaluation, benchmarking, and continuous monitoring frameworks. Experience leveraging GenAI technologies to build data solutions. Ability ...

support of The Core enables a common platform model and operating framework that promotes consistent governance and scalable solutions, leveraging cloud, AI, and machine learning for innovation and efficiency. The Core Engineering’s 2,000+ engineers and strats deliver engineering, data, analytics, and quantitative capabilities within six business ...

monitoring, logging and observability for data pipelines and dashboards (for example Application Insights, logging frameworks and pipeline metrics) and act on alerts. Work with ML/agentic automation teams to integrate or evaluate agent-based workflows where applicable (e.g. controlled LLM agents, orchestration of multi-step automated tasks). Apply ...

deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise AI coding ...

building and optimising large-scale data pipelines and distributed processing solutions within an AWS environment . The role will also support modern AI/ML and Generative AI initiatives by developing scalable, secure and reliable data platforms. Key Responsibilities Design, build and maintain high-throughput data pipelines using Apache Spark … within AWS environments. Develop performant solutions using Java or Scala alongside advanced SQL. Support modern data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data quality, governance, security and monitoring ...

tools into business-as-usual operations, ensuring smooth handover and sustainable use. Facilitate testing and validation of new technologies such as computer vision models, machine learning analytics, IoT and real-time telemetry enhancements, and AI-based decision support systems. Document capability gaps and manage delivery risks related ...

digital solutions across energy, utilities, or infrastructure projects. Working with software developers, data analysts, and digital delivery teams. Emerging technologies including digital twins, IoT, machine learning, and cloud-based platforms. Energy Consulting Skills: Significant experience in consultancy and/or engineering related to energy, utilities, infrastructure, or similar … people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your ...

Software Engineering, Digital Platforms, Technology, or a related discipline. Proven track record of delivering enterprise-scale platforms across areas such as IoT, AI/ML, analytics, cloud technologies, and customer-facing digital applications. Strong understanding of modern architecture principles including cloud-native, API-first, event-driven, and platform-based approaches. ...

prioritise and allocate work. Delivering both strategic and tactical technology solutions. Applying modern DevOps and exploring emerging technologies such as artificial intelligence and machine learning. This is a great opportunity and salary is dependent upon experience. Apply now for more details. ...