76 to 100 of 156 Machine Learning Jobs in the Midlands

Agile Scrum delivery teams. Excellent communication, stakeholder engagement and documentation skills. Essentials Experience Significant commercial experience developing enterprise applications using Python. Experience with AI, machine learning or computer vision technologies. Proven experience designing and deploying production-grade web applications and APIs. Experience implementing DevSecOps practices within CI/… responding to requests respectfully, politely, and professionally at all times. Taking an honest approach to business - Is clear, accountable, reliable, knowledgeable, and direc Listening, learning, and finding better ways to make a difference - Looks for opportunities to improve business processes by collaborating with others; is receptive to new ideas ...

architectures enabling interoperability across CDEs, BIM, and enterprise systems.Basic understanding of Power BI and data visualisation, translating data into actionable insights.Awareness of AI and machine learning applications (e.g. automation, classification, predictive analytics).Experience with cloud platforms (e.g. Microsoft 365, SharePoint) supporting secure information management.Domain KnowledgeDeep understanding ...

innovation specialists Maintain Agile delivery cadences to accelerate development and support iterative release Facilitate testing and validation of new technologies, including computer vision, ML analytics, IoT/telemetry, and AI-based decision support Manage timelines, budgets, and resources using Agile frameworks (Scrum, Kanban), including sprint planning, stand-ups, reviews ...

appropriate use casesExperience working with cloud platforms, APIs and modern application architectures. Experience of AI platforms operating at enterprise scale.Familiarity with data engineering, ML Ops or model lifecycle management practices.Experience with Microsoft AI Platforms and supporting technologies, including Azure AI Foundry, Microsoft copilot ecosystems.Familiarity with Oracle AI ecosystem.Strong stakeholder management ...

concepts can successfully transition into operational capability. Artificial Intelligence is a major part of that journey. You'll be working with programmes exploring AI, machine learning, autonomous systems, human-machine teaming, digital engineering, cloud technologies, cyber capabilities, advanced communications, and multi-domain integration. They're looking ...

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 ...

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 ...

leading the development of advanced Integrated Sensing and Non-Kinetic Effects (ISANKE) and Integrated Communications System (ICS) technologies, including sensing, communications, data fusion, machine learning, and defensive aids systems. Working closely with the Ministry of Defence and international industry partners, you will play a key role … Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance : All employees at management level and below are eligible for our bonus scheme. Never Stop Learning : Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored ...

customer behaviour and business performance. Knowledge of GDPR and data compliance best practice. Experience with Customer Data Platforms, Python/R, predictive analytics, machine learning, AI-powered analytics or customer/CRM/digital marketing data would also be valuable. What's on offer Hybrid and flexible working. ...

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 ...

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 ...

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 ...

month for core meetings North Lincolnshire based office Essential Criteria Technical background with C#, .NET, Azure & Kubernetes Experience with/exposure to AI/ML solutions & platforms Strong communication & stakeholder management skills About Ford & Stanley Group Ford & Stanley Talent Services Group are in the business of people and performance. ...

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 ...

learning workflows, hosted on AWS. Zula 2.0 is the critical path for the team through year-end. You will design pipelines, deploy ML models, and collaborate with data scientists and engineers to surface meaningful insights and scalable systems. #J-18808-Ljbffr ...

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 ...

project leadership opportunities A chance to directly shape enterprise-level decision-making Compensation : $130K What You’ll Be Doing Designing and optimizing gradient boosting ML models (XGBoost, LightGBM, CatBoost) Delivering high-accuracy financial and operational forecasts Engineering and tuning robust, interpretable models with open-source tools Using internal + external … gradient boosting frameworks (XGBoost, LightGBM, etc.) Strong experience forecasting KPIs like sales trends, AR, and working capital Comfort building from scratch using open-source ML tools and Python or R Ability to translate complex models into actionable insight Exposure to data visualization tools (Power BI preferred) Experience leading modeling projects ...

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 ...

CompTIA Data+ CompTIA DataAIPractical, real-world project work designed to help you develop hands-on skillsDedicated 1-to-1 tutor support throughout your learning journeyCV support, interview preparation, and career coachingAccess to our employer network and recruitment partnersStarting Salaries Upon successful completion of the programme, we guarantee a starting ...

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 ...