15 of 15 Machine Learning Jobs in Cheshire

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

your own pace and become job-ready in as little as a few weeks. \Official AWS Certified Cloud Practitioner certification \n Training in Python, Machine Learning, and AI systems \n Hands-on projects using real-world AI tools and technologies \n Professional CV and LinkedIn support \n Hands … spread the cost of your training over 12 months so you can get qualified without financial pressure. \AI Engineer: £45,000 £60,000\n Machine Learning Engineer: £60,000 £75,000\n Progression into senior AI roles with higher earning potential \n \n We focus on outcomes ...

databases and user-facing applications. • Maintain reliable, scalable software architecture and integrate machinery, embedded controllers and applications. • Develop tools to collect, process and present machine and sensor data. • Maintain clear documentation, version control and sound development practices. Cloud Infrastructure & DevOps • Take hands-on ownership of cloud infrastructure, particularly AWS. … reliable infrastructure for future commercial deployment. Engineering Data, Simulation & Computational Modelling • Develop simulation, optimisation, computational modelling and Digital Twin tools for autonomous machinery. • Model machine performance, operating sequences, capacity and efficiency. • Analyse machine, sensor and operational data and test engineering concepts before physical implementation. • Work with robotics ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery – Experience building AI‐powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

other departments, helping stakeholders understand the value of data and embrace better ways of working. Exploring new technologies: Applying advanced analytical techniques, statistical modelling, machine learning and AI to solve complex business challenges and uncover new opportunities. Championing data quality and governance: Promoting data accuracy, consistency, and security … Advanced analytical, statistical, and modelling skills, with the ability to identify trends, solve complex problems and translate findings into actionable insights. Practical experience applying machine learning and artificial intelligence techniques to real‐world business challenges. A track record of delivering data‐driven solutions that support business improvement ...

life. Role Our fulfilment centres are like living, breathing cities of automation: hundreds of autonomous robots collaborating to fulfil customer orders, AI and machine-learning systems making real-time decisions, conveyor systems spanning miles, robotic arms handling packages with incredible precision, and automated storage and retrieval systems redefining … industrial automation programming Smart sensor technology and IoT integration Predictive maintenance and performance optimisation through data analytics Safety systems for human-robot collaboration Machine learning applications and wider Industry 4.0 technologies Here at Amazon, it's in our nature to learn and be curious. Within this apprenticeship ...

Proficiency in scripting and automation with experience in Python, Bash, or PowerShell Experience with adversarial machine learning techniques and familiarity with common ML frameworks and tools. (prompt injection, data poisoning, and model evasion) Experience with common and emerging security threats, scanning tools, and assessment methodologies and demonstrated experience ...

conversion, and retention. Cross-Functional AI & Engineering Alignment Act as the primary product partner to the CTO and engineering team for all AI and ML initiatives. Define detailed product requirements, user scenarios, and functional specifications for AI components. Ensure product discovery and validation take place before committing engineering resource. … Large Language Models (LLMs) Track record B2C digital products using data-driven discovery and measurable outcomes. Experience collaborating with engineering, data science, or ML teams to define clear product priorities. Strong commercial judgement with a focus on user engagement, conversion, and retention. Experience operating in a regulated, data-sensitive ...

tied directly to the work you win. What you will sell Engineering services. Web systems such as ERP, CRM and eCommerce, AI and machine learning including local generative AI, IoT and edge systems, and infrastructure including cloud architecture, DevOps and security. Solutions. Cogy Code, our coding agent ...

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 ...

solving complex problems for clients and customers. You may work with technologies including Java, C++, C#, Python, SQL, JavaScript/TypeScript, containers, DevOps, cloud, machine learning, scripting and real-time systems. Working In Knutsford Set in 64 acres of gardens and centred around the historic Radbroke Hall ...

judge calibration) • Guardrail and AI-observability tooling (e.g. NeMo Guardrails, OpenTelemetry GenAI conventions, LangSmith, Braintrust) MLOps & LLMOps • Hands-on with MLOps platforms (Azure ML, Databricks, SageMaker) and vector/retrieval databases (Pinecone, Milvus, pgvector) • Experience with GPU-accelerated infrastructure and NVIDIA AI Enterprise or equivalent stacks • Exposure to fine-tuning … hands-on exposure to leading AI technologies • Formal training by industry experts, with access to certifications across cloud (AWS, Azure, GCP), AI/ML, and Agile delivery (Scrum Master, Product Owner, SAFe) • Les Fontaines — our unique training environment just outside of Paris, for thought-leadership and capability building • Monthly showcases ...

Volkswagen Group UK is seeking a Software Engineer to design, develop, and maintain software applications. You will collaborate with developers, project managers, designers, and QA to ensure the software meets business requirements and aligns with ...

improve assessment, threat modeling, detection engineering, vulnerability analysis, incident response and reporting; embed security checks, risk scoring, control validation and approvals into AI/ML and agent delivery workflows; build agents and orchestrations in Python with secure engineering, CI/CD and production support; measure value through cycle-time, quality … Data Science, Information Systems or a related field, or equivalent relevant experience Proven experience in Cybersecurity engineering, security operations, automation, platform engineering, AI/ML engineering or a closely related field, including meaningful hands-on work securing or operating Generative AI or Agentic AI solutions Proven ability to build production ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...