51 to 75 of 111 Machine Learning Jobs in the West Midlands

technologies, patterns, and industry trends with a balanced view of risk, value, and scalability. Lead POCs and technology evaluations focused on automation, AI/ML, behavioral analytics, identity modernization, and cloud-native security. Champion adoption of innovative practices that improve resilience, automation, and operational efficiency, including AI/ML. What ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients. The Focus Of Your Role and What … multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders ...

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients ...

Artificial Intelligence At Cancer Research UK, we’re harnessing the power of Artificial Intelligence to help beat cancer. From Generative and Agentic AI to machine learning, AI is becoming a transformative capability across our organisation – helping us work smarter, accelerate scientific discovery, and create more personalised and meaningful ...

security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR). Deep architectural xxperience in one of the following specialisms: AI/ML Security/Cloud/M365/DevSecOps Security Architecture Experience in application architecture, software development and/or infrastructure architecture. Clear communication with technical ...

models through to deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you'll be doing Develop and deploy ML and statistical models across credit risk, affordability and pricing Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring Build model … into clear, commercially focused insights Work closely with both technical and senior business stakeholders to influence lending strategy What I'm looking for Strong Machine Learning experience within SME lending or Consumer lending Strong Python and SQL skills Proven experience taking models through the full development lifecycle Background ...

looking for engineers who are comfortable taking full ownership of this process across the whole stack; whether that is backend, frontend, embedded, ML or networking. Minerva Defence is one of the fastest-growing defence technology companies in Europe. We create the software, hardware and networking that make unmanned systems effective … looking for candidates who are comfortable across the full stack, including networking and lower-level work, and who are willing to jump into learning about new areas they are less familiar with if that’s what is needed to get the job done in a reliable way. Responsibilities Take ...

professional to design, develop and test machine learning and data engineering solutions. The role involves supporting deployment, monitoring and assurance activities for ML models and data pipelines, with a focus on improving processes and tools. The role operates on a team-led hybrid model with 2-3 days ...

join their Rufus Features Science team in Coventry. The role focuses on developing advanced language technology and optimizing AI-driven shopping experiences using machine learning and data analysis. Key responsibilities include analyzing large datasets, designing experiments, and collaborating with engineers to adapt analytics into production. A Master ...

data platforms, including data lakes, data visualisation tools and integration services Enable high-quality data for client-facing products, reporting, artificial intelligence, machine learning and operational activities Co-author data governance practices covering metadata, data quality, lineage, privacy and compliance within Databricks Unity Catalog Review solution designs ...

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 ...