26 to 50 of 487 Machine Learning Jobs in the Midlands

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

clarity, confidence and certainty to the audience. Experience in different approaches to data analysis & statistical modelling. Excellent statistical approach to problem solving. Experience using machine learning and advanced analytics approaches to solve business problems Appreciation of building machine learning models using techniques such as forecasting, time More ❯

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon … and customer data is collected, and suggest appropriate data collection methods. Work with business executives to understand business constraints that impact data science or machine learning models. Examine sample data and prepare a preliminary solution proposal document to present to clients. Extract, transform, and organize data into datasets. … to resolve issues and mitigate risks. Ability to discover patterns in data and deliver impactful insights in client decision-making. Knowledge of DS/ML/AI techniques - when and why they are used and interpretation of results from a business viewpoint. In-depth understanding of how analytics is used More ❯

structure, application and permissible use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL … leaders. Experience in leading and management Previous analytical consultancy in a big data environment Deep understanding of the industry/regulatory landscape Exposure to machine learning techniques Cloud experience using GCP or Amazon AWS This position offers a basic salary between £70-80K with an excellent benefits More ❯

structure, application and permissible use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL … leaders. Experience in leading and management Previous analytical consultancy in a big data environment Deep understanding of the industry/regulatory landscape Exposure to machine learning techniques Cloud experience using GCP or Amazon AWS This position offers a basic salary between £70-80K with an excellent benefits More ❯

working on advanced systems that enhance vehicle perception, prediction, tracking, and motion planning capabilities. You’ll play a key role in building and refining machine learning features, as well as developing control and diagnostic strategies for automated driving. Key Responsibilities Design and implement machine learning features … design. Preferred Experience Strong background in autonomous driving technologies. Expertise in Simulink and model-based design. Experience with perception and sensor fusion, AI/ML, or control systems for ADAS or AV platforms. More ❯

continue to lead in HPC, we are also looking to expand into emerging markets such as cloud computing, automotive compute, Machine Learning (ML), and AI. To drive this expansion and maintain our leadership, we are hiring a versatile and strategic Senior Product Manager . The Role: We are … positioning them for new markets. Key Responsibilities: Define and execute the product strategy for Linaro Forge in both existing (HPC) and new markets (cloud, ML, AI, automotive). Conduct market research and competitive analysis to identify opportunities for product expansion and differentiation. Work closely with Engineering to prioritize feature development … direction they expect to see our product evolve, identify and drive strategic partnerships. Lead the investigation of new opportunities, including cloud-based solutions, and ML workloads, providing structure and focus to these initiatives. Collaborate with Sales and Pre-sales teams to ensure effective product positioning and go-to-market strategies. More ❯

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the … like lending, deposits, financial tools, and cards. We use modern architecture principles, collaborative development processes, and a continuous delivery approach. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency, and simplicity to help them make smarter More ❯

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the … like lending, deposits, financial tools, and cards. We use modern architecture principles, collaborative development processes, and a continuous delivery approach. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency, and simplicity to help them make smarter More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

about Lear is available at or on Position overview: As an AI-focused software developer, you'll be responsible for designing, implementing, and deploying machine learning models and algorithms into production systems. Your role will involve creating custom solutions, integrating AI capabilities into existing software applications, and ensuring … Collaborate with data scientists, product managers, and other stakeholders to understand project requirements. Translate theoretical AI algorithms into robust, scalable code. Develop and optimize machine and deep learning models. Test and debug AI software to ensure functionality and reliability. AI deployment in industrial plants. HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES … master's degree in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of More ❯

month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. … Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. More ❯

month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. … Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. More ❯

to define/design/test and implement tooling requirements around this , as well as embed the latest technologies such as Gen AI/ML to improve resilience across the bank . About the Role As technology evolves and banks are increasingly looking to utilise Gen AI to si gnificantly … About you: Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle … resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ More ❯

Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. More ❯

Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. More ❯