26 to 50 of 122 Machine Learning Jobs in the North West

specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest building societies in the UK and we share a mutual goal across our branches and our More ❯

specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest building societies in the UK and we share a mutual goal across our branches and our More ❯

specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us We're one of the largest building societies in the UK and we share a mutual goal across our branches and our More ❯

with a proactive, solutions-focused approach. A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up to a maximum of 28) The option to buy up to … Escape Lounges and Airport Parking Rail and retail discounts 2 paid volunteering days per year Access to internal events calendar including regular health & wellbeing activities, ID&E initiatives and learning sessions Formal and informal development opportunities, including mentoring programmes and learning grants Enhanced parental leave (T&Cs apply) The Interview Process - Please note this may change 1️ Recruiter More ❯

our Crewe HQ. Diverse challenges: Work across multiple departments and sectors. No two days are the same. Innovation-first mindset: Be part of a team helping to drive AI, machine learning, and next-gen data architecture. What You’ll Do Build and deliver robust, scalable data pipelines using Python and SQL. Model and transform data in Databricks, AWS … Warehouse, enabling faster, smarter insights. Collaborate with stakeholders to understand business needs and deliver data solutions that drive value. Support and evolve our data platform capabilities, including AI/ML foundations. Participate in our Data Service Desk rota, offering quick dev support and advice to business teams. What You’ll Bring 3+ years of commercial experience in cloud-based data … engineering. Strong coding skills in Python & SQL Experience with Databricks, AWS Lambda, Glue, and Redshift. Bonus points for experience with dbt, orchestration tools, data cataloguing, and AI/ML data prep. A curious, analytical mindset with a passion for solving real business problems. Excellent communication skills, with the ability to guide stakeholders from partial requirements to fully formed solutions. Additional More ❯

Desirable (but not essential): Experience with cloud platforms (AWS, Azure) Familiarity with Docker, Kubernetes , or config tools like Ansible Exposure to machine learning frameworks (e.g., TensorFlow, Amazon ML) Understanding of relational, document, or graph databases What's on Offer: Flexible and hybrid working options 25 days annual leave (with buy/sell and carry-over options) Private medical More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

procedures, and documentation to support fab operations and industry compliance (e.g., ISO, VDA, or SEMI standards) Driving digital innovation and automation initiatives, including the use of Artificial Intelligence and Machine Learning for Predictive Maintenance, Yield Optimization, and Smart Factory Solutions, including interfacing with Robotics Ensuring cybersecurity best practices are enforced across all fab-connected systems Overseeing vendor relationships More ❯

S3, and Redshift Leading the migration of legacy systems to a modern AWS architecture Ensuring data quality, integrity, and performance across platforms Developing scalable lakehouse and warehouse solutions Operationalizing machine learning models and analytics workflows Mentoring junior engineers and sharing best practices Staying ahead of the curve with emerging data technologies What You'll Bring: Solid hands-on More ❯

Bing Shopping, while also exploring opportunities across platforms like TikTok, Reddit, YouTube and Meta. A key part of the role is working closely with data science teams to integrate machine learning, propensity modelling and automation into activation and optimisation. Data will sit at the heart of everything you do. You'll use SQL and analytics tools to produce More ❯

Bing Shopping, while also exploring opportunities across platforms like TikTok, Reddit, YouTube and Meta. A key part of the role is working closely with data science teams to integrate machine learning, propensity modelling and automation into activation and optimisation. Data will sit at the heart of everything you do. You'll use SQL and analytics tools to produce More ❯

in a modern cloud environment with GCP/AWS/Azure services Contribute to DevOps adoption, CI/CD pipelines, and containerisation with Docker Collaborate on integrating AI/ML solutions to enhance product features and customer experience Tech Stack/Experience Needed Strong commercial experience with Node.js and TypeScript 3+ years' experience with a modern frontend framework ( React, Angular More ❯

scoring, price and resource optimisation. Collaborate with the Data & Reporting team to integrate AI-driven insights into operational workflows and decision-making tools. Evaluate and recommend new AI/ML technologies and approaches to enhance our predictive capabilities and drive competitive advantage. Define, develop, and maintain a comprehensive suite of key performance indicators (KPIs) and metrics across critical business functions More ❯

scoring, price and resource optimisation. Collaborate with the Data & Reporting team to integrate AI-driven insights into operational workflows and decision-making tools. Evaluate and recommend new AI/ML technologies and approaches to enhance our predictive capabilities and drive competitive advantage. Define, develop, and maintain a comprehensive suite of key performance indicators (KPIs) and metrics across critical business functions More ❯

scoring, price and resource optimisation. Collaborate with the Data & Reporting team to integrate AI-driven insights into operational workflows and decision-making tools. Evaluate and recommend new AI/ML technologies and approaches to enhance our predictive capabilities and drive competitive advantage. Define, develop, and maintain a comprehensive suite of key performance indicators (KPIs) and metrics across critical business functions More ❯

of our data platform and machine learning ecosystem. This is a platform-focused role, deeply technical but not architectural, working across high-volume data pipelines and predictive ML models to improve data quality, scale, and performance. Key Responsibilities: Own the data product roadmap and define the vision for the data platform. Manage internal data projects with high customer … Key Requirements: 5-10 years of experience in data roles, with at least 3 years in Data Engineering or Data Science. Strong technical knowledge of large-scale data platforms, ML workflows, and analytics. Experience in SaaS, digital, or consumer tech product companies. Excellent communication and presentation skills, able to translate technical concepts to non-technical stakeholders. Product ownership mindset; not More ❯

Experience with hardware/software interfaces and communication protocols. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Preferred (but not required) Exposure to machine learning frameworks or edge AI platforms. Experience with GPU/accelerator programming or optimization for embedded systems. Familiarity with version control and CI/CD pipelines. More ❯

Experience with hardware/software interfaces and communication protocols. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Preferred (but not required) Exposure to machine learning frameworks or edge AI platforms. Experience with GPU/accelerator programming or optimization for embedded systems. Familiarity with version control and CI/CD pipelines. More ❯

Experience with hardware/software interfaces and communication protocols. Strong problem-solving skills and ability to work in a collaborative, fast-paced environment. Preferred (but not required) Exposure to machine learning frameworks or edge AI platforms. Experience with GPU/accelerator programming or optimization for embedded systems. Familiarity with version control and CI/CD pipelines. More ❯

as well as part of a team to support roadmap and governance processes Experience in the Microsoft Power Platform Power Apps, Power Automate, Virtual Agents Experience in Artificial Intelligence, Machine Learning and Robotic Process Automation within the context of Power Platform Experience of process improvement, process mining and documentation and the development of underpinning process support tools Successfully More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

and upskill internal teams on effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). Strong problem-solving and collaboration skills. Ability to communicate technical concepts clearly to More ❯

such as leveraging AI models as back-end services or using AI tools to accelerate development. Contribute to the team's knowledge-sharing culture, mentoring less experienced developers and learning new approaches. What We're Looking For Strong front-end development skills: React, TypeScript, JavaScript . Solid experience with Node.js and back-end services (70/30 split front … and working with containers/serverless architectures. Ability to debug and troubleshoot distributed systems. Exposure to modern programming languages (Python, Golang, Rust, etc.) a plus. Interest in AI and machine learning integration , and an open-minded approach to using AI tools in development. Strong problem-solving skills and ability to adapt across technologies. Collaborative mindset - comfortable working in More ❯

such as leveraging AI models as back-end services or using AI tools to accelerate development. Contribute to the team's knowledge-sharing culture, mentoring less experienced developers and learning new approaches. What We're Looking For Strong front-end development skills: React, TypeScript, JavaScript . Solid experience with Node.js and back-end services (70/30 split front … and working with containers/serverless architectures. Ability to debug and troubleshoot distributed systems. Exposure to modern programming languages (Python, Golang, Rust, etc.) a plus. Interest in AI and machine learning integration , and an open-minded approach to using AI tools in development. Strong problem-solving skills and ability to adapt across technologies. Collaborative mindset - comfortable working in More ❯

a Backend Polyglot Integration Developer here. No two weeks look the same. The mix of backend software development, systems integration, and cloud infrastructure work means you’ll constantly be learning, solving problems, and collaborating with colleagues from across the organisation. This is a fantastic opportunity for a technically adaptable polyglot developer to join a nationally respected cultural institution with … automation or backend logic. * Experience with other OO programming languages. * Familiarity with cloud platforms, especially Microsoft Azure. * Containerisation tools such as Docker. * Automation tools like Ansible. * Interest in AI, machine learning, and related technologies. Backend Polyglot Developer - What you’ll be doing: As a Backend Polyglot Integration Developer, you’ll work across backend systems, APIs, and digital platforms More ❯