10 of 10 Machine Learning Jobs in Merseyside

implement scalable data solutions in Azure cloud environments Collaborate with cross-functional teams to understand data requirements Ensure data quality, integrity, and security across platforms Support the deployment of machine learning models and advanced analytics Monitor and troubleshoot data workflows and performance issues Requirements: Proven experience with Azure Data Services (Data Factory, Databricks, Synapse) Strong knowledge of Python … data engineering context Excellent communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension More ❯

skills. Your technical background Strong experience in PHP (Symfony framework) with Doctrine ORM for database management, and proficiency in Node.js (Express, WebSockets) and JavaScript. Proven experience integrating AI or machine learning APIs Telephony & Messaging APIs: Hands-on experience with platforms that allow managing voice calls, webhooks, SMS, and real-time media streams. Web & Cloud Services: APIs, RESTful/… Redis. DevOps: Docker, GitLab CI/CD, Linux server administration. Frontend: HTML/CSS, JavaScript/jQuery/Stimulus, Bootstrap or Tailwind Additional experience in Conversational AI and NLP, Machine learning, and automation/workflow management preferred This role will predominantly be remote with monthly meetings in the Liverpool area More ❯

and problem-solving skills, with the ability to translate complex data into clear, actionable business insights. Demonstrated proficiency in Python/R or other tools for advanced analysis and Machine Learning. Business Intelligence & Visualization: Extensive skills in leading BI tools such as Power BI (preferred), Tableau, or Looker Studio. E-commerce and Digital Marketing Platforms: Strong experience analysing e More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

like branding, typography, digital media, UX/UI, or motion graphics . Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $40/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

like branding, typography, digital media, UX/UI, or motion graphics . Prior writing or editorial experience (content strategist, technical writer, editor, etc.). Interest or background in AI, machine learning, or creative tech tools. Pay & Logistics Base Rate : Up to $40/hour USD, depending on experience. Bonuses : Additional pay available based on project performance. Type : Freelance More ❯

all accessible anytime, anywhere, through our 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 confidence and a strong More ❯

to the development of the AI-driven products it powers. Essential skills: - At least 2-3 years in Data Engineering - Data Warehousing - SQL - Python - Experience with either Power Platform, ML models, or programming with AI This is an excellent opportunity for the successful Data Engineer to join an organisation where employee wellbeing is paramount, and career progression is heavily supported. More ❯