1 to 25 of 55 Machine Learning Jobs in the 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 ❯

lead a portfolio of innovative projects focused on leveraging emerging technologies within the IT sector. You will play a crucial role in driving initiatives such as robotic process automation, machine learning, process mining, and generative AI, all aimed at unlocking efficiencies and fostering growth. In addition, you will oversee standard business systems projects that contribute to our operational … APM PMQ or Prince2. Over 2 years of experience in delivering operational advancements or efficiencies, preferably in manufacturing, logistics, or similar environments. Practical knowledge in the deployment of RPA, machine learning, and process mining techniques. A minimum of 2 years managing projects, ideally as a stepping stone towards a senior project management or programme management role. (Full details More ❯

security, and governance Ability to mentor and guide teams, fostering a culture of best practices in data architecture Power BI and DAX for data visualisation (desirable) Knowledge of Azure Machine Learning and AI services (desirable) Experience with streaming platforms like Event Hub or Kafka Familiarity with cloud cost optimisation techniques (desirable) What you'll get: Competitive salary and 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 ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description As a Senior Windows Engineer you … Additional Information Benefits include Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

platforms. • Driving Data Quality – Implement robust validation, cleansing, and monitoring processes to ensure data integrity and compliance. • Innovation & Future Focus – Explore and experiment with new technologies, including AI and machine learning, to unlock value from complex and unique datasets. What We're Looking For We know there's no such thing as the _perfect_ candidate. If you meet 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 ❯

process improvement and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

experience of SQL along with experience working with large databases and data warehouses. You'll be proficient in Python, R, or other relevant programming languages and have Experience with machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). With a background in data mining and pattern recognition you'll be an expert in statistical modelling, predictive 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 ❯

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 ❯