51 to 75 of 99 Machine Learning Jobs in the West Midlands

cloud solutions Implemented cloud automation and orchestration Ensured compliance with security standards Conducted cloud performance monitoring Prepared cloud cost optimization strategies Integrated AI/ML solutions into cloud environments Managed disaster recovery and backup solutions Supported DevOps practices in cloud deployments Collaborated with development teams for cloud-native apps Documented ...

departmental collaboration and stakeholder management. Ability to communicate complex technical concepts to a non-technical audience. Experience with cloud computing, IoT and AI/ML is a plus. Strong analytical, conceptual and organisational skills Negotiation skills for vendor contracts, software licensing, and service agreements Desirable skillset: Experience in Microsoft Dynamics ...

role in shaping modern data platforms, supporting large-scale data migration and establishing architecture standards that enable future capabilities across reporting, analytics, AI and machine learning. The role You will be responsible for: Defining enterprise data architecture principles, standards and strategic roadmaps Designing and maintaining conceptual, logical and physical ...

models. Guide use of data platforms (data lakes, data visualisation, integration buses). Enable high-quality data for client-facing products (reporting, AI/ML) and operations. Co-author data governance practices with the Data Governance Lead: metadata, data quality, lineage, privacy, compliance within Databricks Unity Catalog. Review solution designs ...

knowledge of the language specification and thorough knowledge of the standard library, STL containers, and algorithms. Has experience developing, integrating, or deploying AI/ML-powered solutions and is familiar with Large Language Models (LLMs), AI-assisted development tools, and modern AI frameworks. Has understanding of AI system architecture, prompt ...

data, risk, and product to shape the future of our lending strategy. What You’ll Do as Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring) Develop monitoring frameworks and performance dashboards … through new data sources, challenger models, and experimentation (A/B testing) Translate complex models into clear, actionable business insights Requirements: Strong experience in machine learning within lending (SME essential) Proficiency in Python & SQL Proven end-to-end model development experience Background in fintech and automated decisioning environments ...

product‐minded research engineer who enjoys building real systems people depend on. You’ll likely have: Strong technical background in software engineering, machine learning, or applied AI, demonstrated through an advanced degree and/or equivalent experience building production AI systems Strong software engineering fundamentals and good judgment … understanding of modern model adaptation and post‐training methods, including LoRA/QLoRA, SFT, distillation, preference optimization, reward modeling, DPO/GRPO, and reinforcement learning from verifiable feedback Ownership mindset: you drive projects end‐to‐end, move quickly from real usage, and care about shipping measurable improvements Enjoy following ...

A leading technology firm is seeking a Cloud Solutions Architect in Birmingham to design and implement secure, scalable cloud infrastructures. The role involves managing cloud migrations, developing hybrid solutions, and ensuring compliance with security standards. ...

actuarial study support, we equip you with the tools to thrive. You’ll unlock premium access to platforms like DataCamp, Databricks Academy, and LinkedIn Learning, plus gain insider knowledge through expert-led insight sessions that sharpen both your technical edge and commercial impact. Salary Information Pay is based … skills, including communication, expectation management and the ability to convey technical concepts to a non‐technical audience Knowledge of relevant statistical modelling methods and machine learning techniques Desirable Skills Demonstrable understanding of the various elements of a Technical Price, including business expenses, other costs and actuarial/inflation ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

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 ...

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. This step ...

insights Understanding of cybersecurity concepts, including threat actors and TTPs Experience in data preparation – collecting, cleaning, and structuring data from multiple sources Knowledge of machine learning and modelling, with the ability to build predictive or automated solutions Strong data exploration skills, with a curiosity for identifying trends, anomalies ...

Dataiku is seeking a Fullstack Engineer to contribute to the DSS platform across data preparation, AI/ML, data consumption and visualization themes. You will work across backend and frontend, collaborating with teams to deliver product features using Java, Python, and modern web stacks. Ideal candidates are comfortable with cloud ...

React UI components. You will design cloud-native solutions on GCP, deploy with Kubernetes, and enhance vector search capabilities, collaborating with architects and ML engineers. This onsite role offers direct-hire benefits and opportunities to mentor peers while owning end-to-end technical solutions across the stack. #J-18808-Ljbffr ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

skilled AI Engineer to design and deploy machine learning models and intelligent solutions for our clients. Responsibilities Designed and developed AI/ML algorithms Built and optimized predictive models Conducted data analysis for model accuracy Integrated AI solutions into enterprise software Applied NLP and computer vision techniques Deployed … models to production environments Implemented deep learning frameworks (TensorFlow, PyTorch) Worked with big data platforms (Hadoop, Spark) Collaborated with software developers for AI solutions Ensured scalability and performance of AI systems Documented model architecture and results Monitored deployed AI models for efficiency Conducted AI research and innovation projects Participated ...

technical and non-technical stakeholders. Good understanding of GDPR and responsible use of customer data. Experience with Python/R, predictive analytics or machine learning would be beneficial but isn't essential. If you are interested in this opportunity and would like to hear more, please apply with ...

embed risk insights into day-to-day decision-making Lead a team, and expand your expertise by elevating static reporting and leveraging AI, machine learning, and automation to predict emerging risks and automate risk intelligence reporting What you'll do As a Business Risk Insights Lead ...

with APIs and databases, and implement guardrails, testing and observability to production standards. Ideal candidates have 5–8 years in software/AI/ML roles, hands-on experience with GenAI applications beyond PoC, and a track record delivering production-grade workflows across onshore/offshore #J-18808-Ljbffr ...

roadmaps. Contribute to secure engineering practices, technical standards and continuous improvement while protecting colleague and customer data. Additional Experience & Attributes: Understanding of AI/ML concepts and their application to identity and security data. Familiarity with Microsoft security and analytics tools such as Entra ID logs, Azure Monitor, Log Analytics ...

highly skilled AI Engineer to design and build advanced AI solutions. The ideal candidate will work closely with data scientists and engineers, developing machine learning algorithms and integrating AI capabilities into existing systems. Essential skills include experience with TensorFlow or PyTorch and strong knowledge of data processing ...

Streaming) Databricks & Lakehouse Architectures Data Modelling & Optimisation (Delta Lake, Medallion architecture) Collaboration & Best Practices Quality, Governance & Security Business Relationships Solution Architects Data Engineers, Developers, ML Engineers, and Analysts Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership To thrive in this role, you need … Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years ...