51 to 75 of 90 Machine Learning Jobs in Manchester

and insight requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

and insight requirements for operations, finance, and commercial functions. A track record of shaping centralised reporting solutions from fragmented and siloed data sources. Desirable – but not essential: AI/ML and predictive analytics Knowledge of IoT data integration Familiarity with multiple ERP systems and complex data landscapes. This is an incredible opportunity to shape and build the data function in More ❯

Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in More ❯

Design and build robust monitoring and alerting systems to maintain data health and accuracy Define KPIs and thresholds in collaboration with technical and non-technical stakeholders Develop and productionise machine learning and statistical models (Python, PySpark) Deploy monitoring solutions on AWS infrastructure Create scalable frameworks for future monitoring needs Investigate anomalies and ensure quick resolution of issues in More ❯

Partner with the CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. … delivery processes. Set standards for technical excellence, including architecture, testing, and release governance. Lead major strategic initiatives including platform re-architecture and tooling modernisation. Foster a culture of continuous learning, professional development, and staff engagement. What Were Looking For Proven experience as a senior, hands-off engineering leader within large-scale or high-availability environments. Strong background in Agile … Experience working closely with C-level stakeholders, especially CTOs or CIOs. Deep understanding of modern software architecture and DevSecOps principles. Exposure to, or a strong interest in, AI/ML technologies and their business application. Ability to scale and integrate offshore engineering teams and delivery partners. Track record of building and retaining high-performing, motivated technical teams. Why Join My More ❯

function with a vision for smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ownership and assurance across all More ❯

issues are addressed. Support team development through mentoring junior analysts, delivering technical training, and facilitating tabletop exercises. Lead use case development, approve tasks, and develop new detection content including machine learning analytics and security automation. Maintain and update SOC documentation, processes, procedures, and operational metrics/dashboard reporting. Build and enhance threat intelligence capabilities, sharing actionable insights across More ❯

issues are addressed. Support team development through mentoring junior analysts, delivering technical training, and facilitating tabletop exercises. Lead use case development, approve tasks, and develop new detection content including machine learning analytics and security automation. Maintain and update SOC documentation, processes, procedures, and operational metrics/dashboard reporting. Build and enhance threat intelligence capabilities, sharing actionable insights across 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 ❯

scaling tech companies and actually make hiring happen . Now, we’re after a Senior Talent Partner who knows their way around tech hiring — from Software Engineers to AI, ML, Data, and Product teams. 🔍 What you’ll do: Own end-to-end hiring for high-growth tech companies. Partner with hiring managers — challenge them, guide them, and deliver results. Source More ❯

or HCM product management with commercial responsibility Working knowledge of UK payroll legislation, HMRC compliance, and SaaS financial models Hands-on experience with AI tooling (e.g. GitHub Copilot, ChatGPT, ML frameworks) Track record in leading cross-functional teams to deliver data-driven product outcomes Product certifications (e.g. CSPO/PSPO) and payroll qualifications (e.g. CIPP) a strong plus You’re More ❯

balance If you are interested in the above role - Click the "Apply Now" button now for immediate review Product Manager, Product Management, Product Owner, Product Manager, Product, Products, AI, ML, Product Manager, Product Manager, Should you require reasonable adjustments at any point during the recruitment process or if there is a better way for us to communicate, please do let More ❯

and consulting capability. Contribute to account growth through exceptional delivery and trusted relationships. About You Proven track record in leading data strategy and analytics projects , ideally with AI/ML exposure. Strong commercial and consulting skills, able to engage with both technical and business leaders. Broad technical knowledge across data platforms, pipelines, governance, and analytics . Ability to combine hands More ❯

tech. Focusing on really exciting and rapidly expanding technology markets including AI, where AI adoption among large companies as grown by nearly 50% since 2018. As well as that; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tech recruitment agency. You would be joining a fresh team with … quickly with performance Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, very clear and structured Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados! Monthly and Quarterly lunch Clubs to Michelin Starred restaurants More ❯

including tools like Power BI, Tableau, or similar Excellent communication skills A self-motivated, ambitious attitude, you're keen to learn, grow, and make your mark Exposure to AI, machine learning, or automation tools Ability to work collaboratively while driving your own projects forward Send your CV to Applicants must be located and eligible to work in the More ❯

same-day and on-demand delivery. We’re on a mission to transform the logistics industry with smart fulfilment solutions. We connect businesses with professional drivers via our AI & machine learning intuitive platform to o er seamless, ethical, and highly rated delivery experiences. As a result, businesses can speed up, reduce costs, prioritise flexibility and streamline operations within More ❯

backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands Qualification path No previous professional experience is required to apply to this role, however, working on this project … program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity At TELUS Digital AI, we are More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

with stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest … AI advancements Requirements: Proven experience in AI/ML projects Proficiency in Python, R, or Java Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP) Strong problem-solving and communication skills A degree in Data Science, Computer Science, or a related field (preferred) Benefits: Flexible remote working Competitive salary 25 days holiday + home working allowance Private health insurance More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

join their growing Data Engineering ream. Why You'll Love This Role: Tech at Scale : Work with hundreds of millions of data points daily, using distributed systems and advanced machine learning. Award-Winning Product : Recognised globally for innovation in AI. Remote-First Culture : Work from anywhere in the UK, with flexible hours and full autonomy, or the option to … with Scala and Java, and support tooling in Python Design low-latency APIs and asynchronous processes for high-volume data. Collaborate with Data Science and Engineering teams to deploy ML models. Use Gen AI tools to accelerate development and improve code quality. Contribute to the development of Gen AI agents in-product. Apply best practices in distributed computing, TDD, and More ❯

essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from Manchester hub Private healthcare & pension Consulting-style career progression Opportunities to More ❯

essential Nice to have (or we’ll support you to get there): Cloud platforms (AWS, Azure) Containerisation (Docker, Kubernetes) Database systems (SQL, NoSQL, Graph) Deployment tools (Ansible) Exposure to ML technologies (TensorFlow, AWS/Azure ML) The Package Up to £72,000 base salary Bonus scheme Hybrid working from Manchester hub Private healthcare & pension Consulting-style career progression Opportunities to More ❯

Permanent £50,000 - £60,000 + Benefits This is an opportunity to join a scaling AI consultancy firm looking to enhance their capabilities further across Data Science, GenAI and Machine Learning. You’ll be focused on the vision, design, and deployment of high-impact AI solutions, while also working across a range of real-world use cases and getting … and support project delivery. Core Skills & Experience JavaScript/TypeScript, with experience in MERN Stack (MongoDB, Express.js, React.js, Node.js or similar..) Strong proficiency in Python, particularly for AI and ML applications. Hands-on experience with PyTorch, GenAI, and reasoning models. Experience implementing RAG architectures in production environments. Solid understanding of both SQL and NoSQL databases Experience building and consuming APIs More ❯

Permanent £50,000 - £60,000 + Benefits This is an opportunity to join a scaling AI consultancy firm looking to enhance their capabilities further across Data Science, GenAI and Machine Learning. You’ll be focused on the vision, design, and deployment of high-impact AI solutions, while also working across a range of real-world use cases and getting … and support project delivery. Core Skills & Experience JavaScript/TypeScript, with experience in MERN Stack (MongoDB, Express.js, React.js, Node.js or similar..) Strong proficiency in Python, particularly for AI and ML applications. Hands-on experience with PyTorch, GenAI, and reasoning models. Experience implementing RAG architectures in production environments. Solid understanding of both SQL and NoSQL databases Experience building and consuming APIs More ❯