201 to 225 of 233 Machine Learning Jobs in the North of England

Supporting commercial engagements and client relationships What we’re looking for: Proven experience owning and delivering multiple projects Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Experience with cloud platforms and MLOps best practices Emotional intelligence and people leadership skills UK citizen eligible for More ❯

Supporting commercial engagements and client relationships What we’re looking for: Proven experience owning and delivering multiple projects Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Experience with cloud platforms and MLOps best practices Emotional intelligence and people leadership skills UK citizen eligible for More ❯

appropriate. Lead infrastructure and environment setup for innovation projects, including CI/CD pipelines and cloud environments. Support the development of data pipelines, processing, and storage for AI/ML workloads. Monitor and evaluate model performance, accuracy, and resource utilisation. Champion delivery best practices across the team including AI Governance, EDA alignment and SDLC compliance Contribute to the rollout of … CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data pipelines, and database management. Working knowledge of ML/AI concepts and technologies, including model deployment and monitoring. Strong problem-solving skills and the ability to work across disciplines in a fast-paced, exploratory environment. Excellent communication and More ❯

product What you bring . Proven success operating at Principal PM level or equivalent . Experience shipping complex B2B SaaS or enterprise AI products . Strong grounding in AI, machine learning and agentic concepts . Ability to work with senior stakeholders and influence without friction . Commercial discipline. You measure what matters and cut distraction What good looks More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused 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 ❯

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 ❯

data engineering (preferably Databricks), with a strong background in modernisation and large-scale migration. Expertise in Azure services (API Manager, App Service), Databricks, Spark, Python, SQL, and AI/ML frameworks. Proven track record of leading technical teams and delivering complex data solutions in production. Strong understanding of data governance, security, and compliance in regulated environments. Essential Criteria Proven experience … and regulatory compliance tools (e.g. Microsoft Purview, Unity Catalog). Ability to translate strategic goals into technical delivery plans and roadmaps. Desirable Criteria Experience designing and implementing AI/ML-driven solutions within data platforms. Relevant certifications (e.g. Databricks Engineer Professional, Azure Data Engineer Associate, Azure Solutions Architect). Advanced academic qualifications or industry recognition in data engineering and cloud More ❯

data engineering (preferably Databricks), with a strong background in modernisation and large-scale migration. Expertise in Azure services (API Manager, App Service), Databricks, Spark, Python, SQL, and AI/ML frameworks. Proven track record of leading technical teams and delivering complex data solutions in production. Strong understanding of data governance, security, and compliance in regulated environments. Essential Criteria Proven experience … and regulatory compliance tools (e.g. Microsoft Purview, Unity Catalog). Ability to translate strategic goals into technical delivery plans and roadmaps. Desirable Criteria Experience designing and implementing AI/ML-driven solutions within data platforms. Relevant certifications (e.g. Databricks Engineer Professional, Azure Data Engineer Associate, Azure Solutions Architect). Advanced academic qualifications or industry recognition in data engineering and cloud More ❯

JOB VACANCY GLOBAL LOGIC Company: Global Logic Job Title: GTM Solutions Architect, AI/ML - Intelligent Enterprise Location: United Kingdom - Edinburgh, London, Manchester Working style: Hybrid You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This is more than a sales-adjacent role - it's your opportunity to shape the future of data … life and influence how data & AI transforms industries - we'd love to hear from you. Requirements GlobalLogic is seeking a Go-to-Market (GTM) Solutions Architect for AI/ML solutions to drive the growth of our pipeline in our Intelligent Enterprise practice in the UK & Ireland. This is a high-impact role at the intersection of technology, consulting, and … innovation - shaping and scaling our Data & AI offerings across four transformative domains: Data Platforms Data & ML Operations Generative & Agentic AI You'll partner with Sales, Marketing, and Delivery teams to co-create solutions, design winning proposals, and accelerate business growth. Ideal for senior data consultants, data architects, or pre-sales experts, this is a chance to lead at the forefront More ❯

SQL and SAS skills (or equivalent), with advanced Excel and solid PowerPoint/Office capability. Experience in customer segmentation, test and control methodologies, and ideally exposure to AI/machine learning. A sharp analytical mind with the ability to turn complex data into clear, actionable insights. Confidence in presenting to senior stakeholders and influencing decisions. A solid understanding of … Flexible, hybrid working model Inclusive culture and environment, check out our Glassdoor reviews £1,000 flexible benefits allowance to suit your needs 30 days holiday + bank holidays Udemy learning access Bonus potential (performance and business related) Up to 25% discount on Very.co.uk Matched pension up to 6% More benefits can be found on our career site How to More ❯

solving methods and approaches Effective communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification and validation An understanding of … will be given one day per week in which to attend Manchester Metropolitan University. For the other 4 days you will be working in the business, applying your university learning and gaining a breadth of experience within the software function. At the end of the apprenticeship you will be working as an Algorithm engineer within the Thales UK business More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

and operate platform capabilities supporting batch, streaming, and AI-driven workloads Develop resilient and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native technologies Collaborate with AI/ML teams to deploy models and enable generative AI use cases Implement integrations with data lakes and event stores to enable real-time data flow Contribute fullstack features, including React-based … in Python Experience with Apache Kafka, Flink, and Pulsar for building distributed data pipelines Familiarity with scalable data storage and data lake integrations Proven ability to integrate AI/ML models and work with prompt-based applications Fullstack development skills including React Strong experience with CI/CD, branching strategies, and release automation Comfortable delivering high-quality solutions in a … fast-paced, production environment Preferred Skills Experience working in international and distributed teams Familiarity with cloud-agnostic architectures Exposure to observability tools and practices Background in AI/ML enablement initiatives More ❯

and operate platform capabilities supporting batch, streaming, and AI-driven workloads Develop resilient and scalable systems using Apache Kafka, Flink, Pulsar, and cloud-native technologies Collaborate with AI/ML teams to deploy models and enable generative AI use cases Implement integrations with data lakes and event stores to enable real-time data flow Contribute fullstack features, including React-based … in Python Experience with Apache Kafka, Flink, and Pulsar for building distributed data pipelines Familiarity with scalable data storage and data lake integrations Proven ability to integrate AI/ML models and work with prompt-based applications Fullstack development skills including React Strong experience with CI/CD, branching strategies, and release automation Comfortable delivering high-quality solutions in a … fast-paced, production environment Preferred Skills Experience working in international and distributed teams Familiarity with cloud-agnostic architectures Exposure to observability tools and practices Background in AI/ML enablement initiatives More ❯

ll be developing cutting-edge AI platforms using state-of-the-art technologies. As part of our Chief Technology Office, you’ll work on implementing the latest AI/ML solutions for our bank. In this role, you'll collaborate with talented engineers to design and implement high-performance backend systems that enhance our AI platforms, driving industry best practices … CI/CD pipelines.Some other highly valued skills may include:Hands-on, curious Engineer with good collaborative skills.Infrastructure as code knowledge (terraform, CloudFormation).Experience developing or integrating AI/ML frameworks, e.g. LangChain.Bachelors in Computer Science, related fields, or equivalent experience.You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

Confident in backlog prioritisation, roadmap planning, and feature trade-off decisions Comfortable working in a fast-paced, outcomes-driven environment Preferred Experience working in the edtech, education, or e-learning … sectors Understanding of school leadership, teaching workflows, or professional development in education Familiarity with learning management systems (LMS), subscription products, or B2B SaaS models Exposure to AI/ML technologies and how they can enhance user-facing products Skills and Competencies Strategic Thinking & Execution Able to balance long-term product vision with short-term delivery needs Analytical approach to More ❯

Product Owner (AI) - Manchester Hybrid Salary : £55,000About the Role We are seeking a Product Owner with a strong focus on AI/ML products who thrives in dynamic, fast-paced environments and enjoys working closely with small, high-impact teams. You will lead initiatives involving AI-driven system upgrades, data platform modernization, and greenfield builds, collaborating directly with director … will help shape intelligent solutions that drive measurable value through automation, personalization, and data insights. Key Responsibilities Own and manage the product backlog with a focus on AI/ML feature development, turning business needs into actionable user stories and clear acceptance criteria. Lead end-to-end initiatives involving AI-powered applications, from data ingestion and model deployment to user … facing functionality. Collaborate with data scientists, ML engineers, and software developers to align technical execution with business goals. Partner with director-level stakeholders to understand strategic AI objectives, prioritize use cases, and gain buy-in for roadmap decisions. Work closely with UX and QA teams to ensure AI features are intuitive, ethical, and deliver high-quality user experiences. Ensure timely More ❯

programmes. Build and mentor a world-class security team. AI Data Security Protect proprietary AI models, training data, and pipelines from data poisoning, model theft, or adversarial attacks. Secure ML infrastructure across data collection, preprocessing, model training, and deployment. Implement privacy-preserving techniques such as encryption, anonymisation, and federated learning. Crypto & Blockchain Security Oversee smart contract security audits, testing, and … knowledge of blockchain protocols, smart contracts (Solidity, Rust), cryptography, and custody systems. Strong expertise in cloud security, DevSecOps, and secure software development lifecycle (SSDLC). Understanding of AI/ML systems security, including model attacks and data integrity risks. Relevant certifications preferred: CISSP, CISM, CISA, CEH, OSCP, CCSK, or blockchain security certifications. Desirable Skills & Experience Exceptional communication: Ability to articulate More ❯

ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects. Key responsibilities include: Enriching and preparing datasets to uncover actionable insights Building and evaluating time-series forecasts Prototyping AI/ML models (NLP and computer vision exposure) Translating findings More ❯

strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to craft highly scalable … Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented, Agile, and Lean methodologies, including Continuous Delivery. Documentation Rigour: Familiarity More ❯

strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to craft highly scalable … Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented, Agile, and Lean methodologies, including Continuous Delivery. Documentation Rigour: Familiarity More ❯