26 to 50 of 68 Machine Learning Jobs in the Midlands

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 ...

interpret complex physiological data from non-invasive wearable sensors. This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse … design experiments and work with real-world and clinical datasets Nice to have Experience working with wearable sensors or digital health technologies Exposure to machine learning techniques applied to signal or physiological data Understanding of cardiorespiratory physiology or haemodynamics Experience translating algorithms into production or embedded environments Familiarity ...

interpret complex physiological data from non-invasive wearable sensors. This is a hands-on, technically focused role working at the intersection of signal processing, machine learning, and physiology, translating real-world sensor data into clinically meaningful insights. Key responsibilities Design and implement signal processing pipelines to analyse … design experiments and work with real-world and clinical datasets Nice to have Experience working with wearable sensors or digital health technologies Exposure to machine learning techniques applied to signal or physiological data Understanding of cardiorespiratory physiology or haemodynamics Experience translating algorithms into production or embedded environments Familiarity ...

difficult and often complex. Creating & compiling requirements – populating relevant systems with programme requirements, authoring new requirements as necessary. Is able to design, build & test machine learning features to be incorporated into driver modes and attribute features. Creating and defining new attribute related features - supporting the demand process … benchmarking), desk top data collection & physical measurement of vehicles. Skills Required: Experience with software integration, calibration and delivery. Experience of feature delivery & demand process. Machine learning and experience of using motion detection, prediction and scanning. Experience and knowledge of ADAS system design and integration. Highly self-motivated engineer ...

clear goals and outcomes. Document findings thoroughly and hand over validated work to the wider development team. Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning. Software Development & Delivery Design, develop, test and maintain ...

DevOps and CI/CD pipelines Experience with big data technologies (e.g., Spark, Hadoop) Understanding of risk and control frameworks within banking Exposure to machine learning pipelines is a plus Experience working in financial services, investment banking, or regulated environments preferred. Soft Skills Strong analytical and problem-solving ...

enter into a Data apprenticeship with formal study and training. You will gain/improve skills in SQL, Data visualisation, Advanced BI and Machine learning. Key Responsibilities Work with business management to design & build reporting dashboards. Interpret data, analyse results and provide ongoing reports with actionable output. Help ...

with engineering and IT teams to modernise legacy systems and embed AI into core platforms Your Skills and Experience Strong commercial experience delivering AI, machine learning or data science solutions into production Hands on expertise with LLMs, generative AI and NLP use cases Strong programming skills in Python ...

Data analytics and statistics, Data visualisation, Machine learning and predictive modelling, Databases and big data, Software, systems, and digital technologies, Support from academic tutors and a workplace mentor, Completion of an End‐Point Assessment (EPA), including a project - See Website for more information. Role As a Data Analyst ...

patterns: authentication, authorisation, encryption, secrets management Desirable Experience with Docker and container orchestration via ECS or EKS Familiarity with AWS analytics and AI/ML services — SageMaker, Redshift, Athena, Bedrock Exposure to advanced industrial technologies: IoT, edge computing, hybrid cloud architectures Experience with React or dashboard tooling that surfaces cloud ...

about internal and external customer needs to reimagine customer interactions What you’ll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform ...

knowledge and experience with cloud technologies Understanding of security standards and compliance requirements within the industry Experience in engineering or working with AI/ML systems Proven problem-solving skills with a focus on building robust, fault-tolerant systems Experience scaling software and infrastructure in response to growth Effective leadership ...

SOFTWARE ENGINEER £45,000 - £60,000 + BONUS Remote (Uk based) This is an exciting opportunity to join a high-growth data and machine learning company that predicts KPIs for major brands and provides market-moving insights to investors. You'll take ownership of critical engineering systems that … forecasts. THE COMPANY: You'll join the AI & DataOps team, a cross-functional engineering group working across software engineering, data engineering, and applied machine learning. With strong commercial growth and continued expansion, they are now hiring a Software Engineer to take ownership of their AWS infrastructure. THE ROLE ...

Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services … support of a permanent role. Youre not a contractor - youre a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing ...

benefits package. Exposure to a modernising data environment and evolving analytics capability. Opportunities to develop skills in automation, advanced analytics and future AI and machine learning initiatives. A collaborative, supportive culture with clear scope for progression. How to Apply Apply now to find out more about this Finance ...

protection regulations (e.g., GDPR) Support ethical use of AI, ensuring fairness and transparency in systems Skills & Knowledge (Desired) Technical Skills: Basic understanding of AI, machine learning, or automation concepts Familiarity with tools such as Python, Power BI, or automation platforms (e.g., Zapier, UiPath) is a plus Understanding ...

Knowledge Essential Demonstrable knowledge of the underlying principles and techniques of data analytics within the context of counter fraud, for example rule-based analytics, machine learning etc. Solid understanding of UK Data Protection law and related regulations relevant to counter fraud data provision, use and retention Understanding ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

software architecture across Windows and Linux platforms. Complex Systems: Manage codebases integrating hardware, sensors, vision, and AI. Innovation: Partner with Data Science to deploy Machine Learning models to edge devices (e.g., NVIDIA Jetson). Leadership: Mentor junior engineers and drive best practices across the full SDLC. What Were ...

award-winning, fast-growing technology company building AI-powered infrastructure that turns complex data into real-time intelligence. Their platform blends software, data, and machine learning to transform how organisations operate moving from static reporting to live, adaptive insight. A bit about you This role suits an engineer ...

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 ...

senior audiences Supporting the development of new reporting solutions alongside existing BAU delivery Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling What we're looking for: 3–5 years' experience in a customer, marketing, or commercial analytics role Strong SQL skills — essential Power ...

relentless focus on achieving results. It would be great if you had Knowledge experience and in-depth understanding of tools like AI/ML, Digital Twins, etc as well as an appreciation of emerging technologies A good working knowledge of the technology landscape of the Energy Sector The experience ...

data + video + SOPs) Developing systems like deviation detection, performance scoring, and AI feedback This role is for you if You’ve built ML systems end-to-end (not just models) You’re comfortable working with messy, real-world data You like defining structure where none exists You want ...

Lead the design, development, and delivery of software solutions aligned with project goals, timelines, and quality standards Partner with data science teams to deploy machine learning models into production environments, including edge and mobile platforms Manage deployment, monitoring, and optimisation of software systems Implement strong testing practices, including ...