51 to 75 of 156 Machine Learning Jobs in the Midlands

meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends and improvement … opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

business requirements and translate them into effective technical solutions Producing high-level solution designs and detailed technical designs Exploring opportunities to use advanced analytics, machine learning and AI to derive additional value from data Contributing to technical standards, development practices and continuous improvement across the wider data function … simply building pipelines. You’ll work across ingestion, engineering, modelling, reporting and analytics, while also having the opportunity to contribute to newer AI and machine learning initiatives. You’ll join a collaborative data team where you can take ownership of projects, influence technical approaches and help shape ...

Software Engineer to join its expanding engineering team. You'll work alongside talented Software Engineers and AI specialists to develop scalable applications powered by Machine Learning and Generative AI technologies. The business is focused on delivering practical AI solutions rather than experimental research, making this an excellent opportunity … engineer wanting to specialise in AI development.What you'll be doingDevelop production-ready AI-enabled software applications.Build and maintain backend services supporting LLM and ML functionality.Integrate OpenAI, Anthropic and other AI models into enterprise software.Create scalable APIs and microservices for intelligent applications.Work with cloud infrastructure to deploy and monitor ...

will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development … .RTOS: Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet).Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson).Your experience;Commercial Edge: You have at least 5 years of experience in a commercial product ...

will be responsible for developing high-reliability, secure-by-design firmware for sophisticated life-saving devices. You will be porting complex AI and machine learning algorithms (developed in Python/MATLAB) directly onto embedded platforms to drive real-time detection capabilities. Technical Focus: Architecture: Expert-level development … Implementation and optimization using FreeRTOS or similar. Connectivity: Mastery of digital communication protocols (I2C, SPI, CAN Bus, Ethernet). Innovation: Deploying Edge AI and machine learning algorithms on-chip (e.g., Nvidia Jetson). Your experience; Commercial Edge: You have at least 5 years of experience in a commercial ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

sure we can be there for our customers. Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning? We’re on the lookout for a Lead AI Engineer to take the helm of our AI initiatives. You’ll lead ...

APIs that connect data services to frontend applications Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

represent Deloitte in client leadership forums.The following will be an added advantage:Relevant certifications in cloud and AI (e.g., AWS, Azure or GCP; machine learning or data engineering certifications).Experience establishing responsible AI practices (governance, risk and controls) for generative AI and advanced analytics.Consulting experience leading multi-workstream ...

Foundry and other Microsoft AI technologies . Theyre not trying to turn this into an AI Engineering role and you dont need deep ML experience. They do want somebody who has started using AI practically. Perhaps youre using Copilot or another LLM as part of development. Maybe youre validating code ...

preferable, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where does AI fit? You dont need to be an AI or Machine Learning Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer. That might mean ...

Microsoft Azure SQL Server, MySQL or PostgreSQL Node.js or Python AWS Docker/containerisation Automated testing and CI/CD Data analytics or machine learning Internet of Things (IoT) technologies and applications You don't need experience across the entire technology stack. A strong front-end developer with ...

their business needs and translate these into clear requirements for analysis. Identify opportunities for the use of advanced analytics techniques (e.g. predictive modelling and machine learning) to provide additional value.Use robust statistical techniques and be able to communicate your methodology to a wide range of stakeholders.Apply tools ...

Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with expertise in Agentic AI and Machine Learning, we’d love to hear from you! Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help ...

Engineer to spearhead our AI initiatives. If you have a wealth of experience in software engineering, combined with expertise in Agentic AI and Machine Learning, we’d love to hear from you! Join us to lead the development of innovative solutions around Large Language Models (LLMs) and help ...

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 ...

TableauVersion Control – Git, DataOps.live, and experience of CI/CD for data pipelines.Good to have certifications inExperience supporting data science and AI/ML workloads as a consumer of the pipelines you build.Microsoft Certified: Azure Data Engineer AssociateAdditional specialist cloud or devops certificationsWhat You'll GetA competitive salary dependent ...

delivery focussed mindset, able to follow designs, apply sound engineering practices, and contribute to secure, scalable IAM solutions. Shows a commitment to continuous learning, staying current with identity, security, and AI developments, and applying new knowledge to improve IAM services. Additional Criteria Understanding of AI and machine learning ...

insight they need.Analytics and AI: Using models and analytics techniques to enhance or add value to data. This could relate to supervised/unsupervised machine learning and have applications across advanced analytics and AI agent development.Standards and Best Practice: Adopting best practice and championing the standards established ...

usability.• Knowledge of security standards and regulations (e.g. NCSC, ISO, SoC, NIST, PCI, GDPR).• Experience in one of the following specialisms: AI/ML/Data/Cloud/M365/Security Architecture• Experience in application architecture, software development and/or infrastructure architecture.• Industry experience ...

based monetization models, model serving, inference costs, GPU economics, cloud economics, or compute cost optimizationExperience in SaaS economics, cloud cost analysis, or AI/ML-driven productsBackground in subscription analytics, pricing, packaging, or monetization strategyExperience with AI agents and API-driven business models#LI-JK3Learn MoreAbout AutodeskWelcome to Autodesk! Amazing things ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent.GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity.Additional InformationWhy Version 1? At Version 1, we believe in providing our employees with ...

plans.Continuously review and prioritise the delivery team's workload and anticipate the need for realignment with evolving priorities.Oversee the identification of advanced analytics opportunities (ML, predictive modelling) to drive client value.Ensure the application of robust statistical techniques and high standards of data cleaning and management across the team.Lead the recruitment ...

Engine, Google Kubernetes Engine (GKE), Cloud SQL, BigQuery, Dataflow, Cloud Storage, VPC, IAM, Cloud Functions, Cloud Run, and Apigee.· Demonstrable experience with AI/ML services on Google Cloud, with a strong understanding of how platforms like Gemini Enterprise can drive business value.· Strong understanding of cloud security best practices ...

readiness, runbook quality, and resilience patterns are consistently applied across services.People LeadershipLead and mentor a team of SRE engineers, fostering a culture of ownership, learning, and engineering excellence.Drive career development, performance management, and technical capability growth across the team.Collaborate with HR and Talent teams to build local hiring pipelines … managing cloud-native services on Azure and AWS, including: Azure SQL, Cosmos DB, Application Gateway, Key Vault, Storage, DNS, Load Balancer, Virtual Machines, Azure Machine Learning, SentinelAWS Lambda, ECS, RDS, CloudWatchStrong understanding of SRE principles (SLOs, SLIs, error budgets, incident response).Hands-on experience with container orchestration (Kubernetes ...