276 to 300 of 483 Machine Learning Jobs in the East of England

Analyze production processes and identify areas for improvement using data-driven methodologies. Collaborate with IT and engineering teams to integrate IoT solutions and data analytics into manufacturing operations. Utilize machine learning and AI to enhance process controls and predictive maintenance strategies. Conduct feasibility studies and cost-benefit analyses for new manufacturing technologies. Train and support manufacturing staff on … We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the job application or interview process. If you consider yourself to have a disability or learning difficulty which means you are unable to complete the application process online, please get in touch by email to aneesa.butt@mt.com so that we can make alternative arrangements for More ❯

firmware development experience Knowledge of RF systems and digital signal processing Experience with model verification, configuration control, and model release processes Knowledge of continuous integration and testing Understanding of machine learning and AI More ❯

firmware development experience Knowledge of RF systems and digital signal processing Experience with model verification, configuration control, and model release processes Knowledge of continuous integration and testing Understanding of machine learning and AI More ❯

Streamline team to help deliver features that support the full breadth of Arm's product portfolio. Our tools are used to optimize the latest cars, drones, mobile games, and machine learning applications, your ideas will make a difference and help to bring world-beating products to market. Responsibilities: Code development and associated testing in a variety of languages. More ❯

cloud platforms and services for IIoT data management Familiarity with OT systems (SCADA, PLCs, industrial networks) Understanding of industrial communication protocols and network architectures Experience with data analytics and machine learning in IIoT contexts Knowledge of security standards (e.g., IEC 62443, NIST SP 800-82) Relevant certifications in IIoT, cloud, or industrial networking are a bonus Don’t … Capgemini means working with a thriving company dedicated to transforming businesses and building a sustainable, inclusive future. You will be part of a team of entrepreneurs and industry experts, learning, sharing knowledge, and pushing boundaries. Your skills will help clients leverage technology to innovate and grow. Making the world a better place is challenging, but rewarding. About Capgemini Capgemini More ❯

mind-set to systems engineering, building a culture of experimentation and failing fast Collaborate with your peers in similar roles across the UK to promote a culture of continual learning and improvement, acting as a change agent for systems engineering About You You will have proven experience as a Chief/Lead Engineer (or role with similar responsibilities), with … Domain experience any of the following specialisms; Telecommunications, RF, Electronic Warfare, Electro-Optics, Air/Land/Sea sub-system Platform Integration, Data Distribution Services, Sensor Fusion, AI/Machine Learning Practitioner level ability using Model Driven Engineering tool e.g. Cameo Systems Modeler, Matlab, Simulink, DOORS (classic) All successful applicants must be eligible for full security clearance and More ❯

Big role with an innovative scale-up which has big name brands on their client list already. The client A fast-growing tech company working at the intersection of machine learning and complex engineering, with a particular focus on helping manufacturers design and deliver better products, faster and more sustainably. Their software uses advanced, data-efficient AI to … in system design and calibration. Backed by major industry investors and recognised in national innovation awards, they're scaling rapidly with a focus on impactful, real-world applications of machine learning. Looking for someone who can come into their Cambridge office, 1-2 times a week ideally. Sponsorship, is not being offered. The role As a senior design leader More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

Statistics, Mathematics or another analytical subject Experience in a pricing or actuarial role within general insurance Experience with price optimisation tools (Earnix/Radar) Experience using and implementing advanced machine learning methods Able to communicate complicated statistical concepts to an informed but non-technical audience Experience with using software packages such as R or Python to solve problems More ❯

machine learning research agenda in the molecular sciences. Design and develop new machine learning models and algorithms. Write code to run and evaluate large-scale ML experiments. Work with internal and external partners to deploy and evaluate models and workflows. Prepare technical papers and presentations. Collaborate on a day-to-day basis with an international and … interdisciplinary research team towards a common research goal. Qualifications Required: Track record in Deep Learning research, evidenced by a PhD or similar research experience in the field. Experience designing and optimizing new architectures and algorithms, and conducting experiments to study their performance. Proficiency in Python software development, demonstrated by published software projects (e.g., GitHub). Experience in developing and … . Preferred: Experience working with graph data, reinforcement learning, and/or generative models. Experience with molecular data in real-world drug discovery. Track record of publications in ML conferences and/or scientific journals. Additional Information Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or More ❯

regular performance reviews, identify areas for improvement, and coordinate action plans to support continuous improvement initiatives. Deliver Advanced Analytics - Develop and apply analytical models—including predictive analytics, AI, and machine learning—to identify trends, generate insights, and support operational decision-making. Ensure Data Integrity and Automation - Design and manage automated data flows, ensuring clean, accurate, and accessible data More ❯

explaining sophisticated statistical analyses. Collaborate with lab scientists to drive automation and standardisation of workflows for routine biological assays. What we look for A post-graduate degree in statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

from multiple sources into the central data warehouse. Working with a fully cloud-based Azure ecosystem (including Azure Data Factory and Databricks). Exploring opportunities to integrate AI/ML tools to drive innovation and business growth. What’s in It for You: Salary up to £60,000 + discretionary bonus Remote-first role – only one office visit per month More ❯

environments Exposure to higher-level languages or frameworks Experience in one or more of the following areas: Device drivers, DSP, algorithm implementation Communications and application-layer protocols AI/ML in embedded contexts Interfacing between software and electronics Previous leadership or line management experience - whether in formal line roles or by leading small teams/projects Strong communication skills, both More ❯