126 to 140 of 140 Machine Learning Jobs in the North West

AI and are looking for a Data Engineer to join their team. You will be joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Day‑to‑day you will: Monitor, optimise and rebuild ETL/Delta Lake workflows in Databricks. Migrate legacy ingestion jobs … understand study goals—e.g., young‑mental‑health surveys—and shape the data architecture behind them. Own slices of the backend and grow toward analytics, ML or architecture as you choose. About you 2‑3 years’ experience (or outstanding grad projects) in data engineering Solid Python or R plus SQL; comfortable More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

Salesforce (SFDC Sales Cloud), Google Analytics, or Airtable Experience with finance-related data marts (e.g. forecasting, P&L) Exposure to predictive analytics and building machine learning-ready datasets 🎯 Ready to take the next step in your data engineering career? Apply now and be part of a forward-thinking More ❯

for real-time biometric insights Architect and maintain secure, scalable APIs and backend systems Work closely with our AI engineers to support and deploy ML models into production Build and maintain robust AWS pipelines, APIs, and end-to-end integrations Focus on efficiency — making the delivery of models faster, leaner … systems) What we’re looking for is a Full-Stack Software Engineer: Ideally, 3+ years of software engineering experience Experience working with AI/ML teams, and familiar with deploying or supporting ML modela Proficient in JavaScript/TypeScript, with experience in modern frontend frameworks (React, Vue, etc.) Strong backend … grade systems You might be a great fit if you: Come from a strong software engineering background Have supported or helped integrate AI/ML models into production systems Understand cloud infrastructure (AWS preferred) Know how to work with pipelines, APIs, STKs, and full-stack architectures Have hands-on experience More ❯

Pay Rate: 671 GBP/Day (Inside IR35) Role Description: A Security Solutions Architect + GenAI would design and implement secure AI/ML solutions, ensuring data protection and compliance while leveraging AI's capabilities. This role combines expertise in cybersecurity, AI/ML, and cloud technologies to architect secure … and scalable AI solutions. Responsibilities : Security Architecture: Design and implement security solutions for AI/ML applications, focusing on data privacy, confidentiality, and integrity. GenAI Solution Design: Develop and deploy AI-powered solutions, integrating security measures throughout the life cycle, from data ingestion to model deployment. Skills and Qualifications: Security More ❯

systems and processes. You will join our product team with a focus on writing automated tests for our cloud products including artificial intelligence and machine learning. Time is split as needed between university and work. We will ensure you get all the time you need to attend studies and … solving and communication skills Growth Path: This role offers opportunities to advance into senior Quality Assurance and QA Engineering roles. We support and encourage learning of all kinds. We will offer technical and skills-based training throughout the apprenticeship and beyond, and it is our hope that the successful More ❯

Cyber Software Engineer - National Security National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Our National Security Business More ❯

+ Benefits James Adams is proud to be working with a fast-growing software development consultancy operating at the cutting edge of AI & Machine Learning. Our client delivers agile, high-performance software solutions across sectors ranging from defence and security to media. They are now looking to hire an … CD pipelines Demonstrated ability to work across front-end and back-end components Passion for learning and exploring new technologies including AI and ML What’s on Offer: £60,000 – £75,000 salary (DOE) Hybrid working – just 1–2 days/month in Cheshire 28 days annual leave + More ❯

+ Benefits James Adams is proud to be working with a fast-growing software development consultancy operating at the cutting edge of AI & Machine Learning. Our client delivers agile, high-performance software solutions across sectors ranging from defence and security to media. They are now looking to hire an … CD pipelines Demonstrated ability to work across front-end and back-end components Passion for learning and exploring new technologies including AI and ML What’s on Offer: £60,000 – £75,000 salary (DOE) Hybrid working – just 1–2 days/month in Cheshire 28 days annual leave + More ❯

Description Location: [Manchester – Hybrid 3 days in the office/Home working] Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong experience in Computational Linguistics to help build and refine … on the horizon, this is the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion,... More ❯

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information More ❯

development of graphics applications with an understanding of how standard graphics APIs map to Imagination products. Spearhead the software architecture of new AI/ML capabilities for future generations of GPUs. Own the technical software architecture for compute applications and their mapping to underlying hardware. Evolve and develop the software … Knowledge of accelerated computing software architecture for GPUs and other hardware accelerator architectures and the associated software ecosystems for applications. Experience with AI/ML applications and their mapping to GPU/hardware accelerator platforms and the associated software ecosystems for applications. Understanding of graphics APIs and the software ecosystems … that support them across both desktop and mobile platforms. A technical background in AI/ML software infrastructure, potentially across data centre, automotive or embedded devices, with particular focus on inference application deployment and optimization. A technical background in system-level software for interfacing hardware such as GPUs to CPU More ❯