1 to 25 of 33 Machine Learning Jobs in the West Midlands

which continues to keep up with the market’s demands. *The Role:* This is a key role within our growing Data Science team, where you'll use cutting-edge machine learning and AI to solve complex business problems. You'll have the autonomy to lead projects from ideation to deployment, directly impacting our business across departments like Marketing … great Company culture * Flexi-time * Your birthday off * Generous staff discount * Healthcare cash plan * And tons more... *Your day-to-day duties and responsibilities will include:* * End-to-end Machine Learning: Lead the design, development, and deployment of machine learning models that solve real-world problems. * Pushing boundaries with AI: We’re continuing to explore applications … stakeholders, enabling data-driven decisions. * Model Management: Own the full lifecycle of deployed models, from monitoring performance and accuracy to identifying opportunities for optimization. * Strategic Impact: Contribute to our machine learning roadmap, helping to define the future of our data science capabilities. * Data Stewardship: Collaborate with the team to ensure data integrity, maintain our BI platform, and optimize More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One … of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

Primesource Consulting LLP seeks a talented Data Scientist to join their team. This role involves leveraging data science to design and develop machine learning models to address real-world business challenges. The candidate should possess a strong foundation in data science, machine learning, and cloud-based data systems. In this role you can expect to have … with organizational objectives. Collaborate with cross-functional experts to achieve organizational goals. Communicate insights for management and operational efficiency. Ensure data ethics and preparation are integral to projects. Develop machine learning models and algorithms for complex challenges. Code in R or Python, utilizing libraries like numpy, scipy, and pandas. Conduct exploratory data analysis, model development, and evaluation. Work More ❯

skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred Skills Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning Competencies Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Consulting, Data Analysis - Software, Data Architecture, Database Structures, Problem Solving, Software Development Life Cycle Work Experience … making a lasting difference for everyone we serve. Check out the top reasons to join PNC. Total Rewards PNC's total rewards package includes things like time off, benefits, learning and career development, wellness programs, recognition and much more. The benefits and programs highlighted below are just a sampling of what PNC offers its employees. To learn more, visit More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering … wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and ML workflows. Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of … secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge More ❯

AI-based architectures and recommend appropriate tools, technologies, and methodologies ️ Collaborate with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or More ❯

academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation More ❯

solutions? This is a fantastic opportunity to join a data-first business with major investment in its data function, working on modern platforms and with cutting-edge AI and ML initiatives. Key Responsibilities Design and deliver enterprise data models and data architectures Support roadmaps for data platforms, integration, and data processing Work with engineers, data scientists, and stakeholders to deliver More ❯

solutions? This is a fantastic opportunity to join a data-first business with major investment in its data function, working on modern platforms and with cutting-edge AI and ML initiatives. Key Responsibilities Design and deliver enterprise data models and data architectures Support roadmaps for data platforms, integration, and data processing Work with engineers, data scientists, and stakeholders to deliver More ❯

adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. Education Required: Programming, Electrical, Mechanical, AI, Software. More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

Job Description: Technical Contractor - Applied Physics and Data Modelling We are seeking a technically versatile contractor with a strong background in applied physics, data collection, and AI/ML modelling to join our team. In this role, you will bridge the gap between physical systems and data-driven models, playing a crucial role in our product testing environment. Key Responsibilities … Design, run, and refine experiments to capture data under various test conditions. Structure, record, and manage datasets for machine learning training and validation. Analyse experimental results to extract insights and provide feedback to improve product/… system performance. Transition an existing mechanical/physics-based model into a thermodynamic framework. Tune and optimise models to accurately represent real-world outcomes. Build and refine AI/ML models using PyTorch. Perform simulation and modelling work using Matlab. Required Skills & Experience: Strong grounding in thermodynamics and applied physics/engineering. Hands-on experience with PyTorch for machine More ❯

Simulation Software Packages such as Matlab/Simulink, IPG Carmaker or similar. Experience in programming is essential. Problem Solving skills and knowledge (6-Sigma or similar). Knowledge of Machine Learning techniques. Strong Analytical skills. Team Player. Good understanding of AGILE Methodology. Education Required : BSc or MSc in Engineering or Data Science. More ❯

programme team; keep materials current and relevant to industry practice. What you'll bring Strong practical experience in at least one track: AI pathway: Python fundamentals, data handling, basic ML/AI concepts, model lifecycle, responsible AI; familiarity with Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯