151 to 175 of 195 Machine Learning Jobs in Manchester

closely with senior leads to shape direction, while managing junior team members to execute high-quality work. A core part of the role is learning and applying our AI-enabled simulation tools. You won’t be expected to come in as an expert, but you will be expected … grow client relationships and support new business through pitches and proposals. Technical Delivery & Innovation Interest in how AI capabilities (such as large language models, machine learning, or Retrieval-Augmented Generation models) can enhance insight delivery and efficiency We’ll provide training and guidance on the tools and processes ...

international group, with cross-border responsibility. You will oversee software licensing, SaaS/IaaS/PaaS, data protection, privacy, and AI/ML regulatory strategy, along with IP portfolio management and complex international deals. #J-18808-Ljbffr ...

Engineer to lead data-driven projects within multi-disciplinary teams, driving technical excellence and mentorship. You will guide data science engineering efforts, deploy scalable ML solutions, and collaborate with stakeholders to deliver meaningful outcomes for clients and society. The role offers growth and a clear progression path. #J-18808-Ljbffr ...

PaaS Experience of advising in relation to global data protection issues Lead compliance management efforts related to privacy and consumer protection laws. AI/ML Regulatory Strategy IP Portfolio Management Person UK Qualified Solicitor with senior level/lead experience. (Head of legal/Director) International experience gained ...

forecasting and predictive solutions. The team owns the production services behind forecasting, scoring, and data processing, along with the pipelines and infrastructure that bring ML and AI capabilities to enterprise customers. As a backend engineer, you will build and maintain core services across this stack, writing clean, well-tested Python … attention to performance, reliability, and code quality. Write clean, well-tested, maintainable Python and follow established engineering best practices. Work with data scientists and ML engineers to integrate models into production services and support the pipelines around them. Participate in code reviews and design discussions, and incorporate feedback to grow ...

Group in the UK is seeking a Data Scientist to join our hybrid team in London or Manchester. You will build, evaluate and productionise machine learning solutions across recommendations, personalisation, customer modelling and predictive … modelling to improve customer experience and business outcomes. You will work closely with Product, Engineering, MLOps and Marketing to translate defined problems into practical ML approaches, ensure robust evaluation, and deliver high-quality, #J-18808-Ljbffr ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

support projects.· Provide strategic guidance and technical Payroll expertise to clients and teams.· Contribute to design of tools, enabled by AI/RPA and Machine Learning to support projects.· Manage, coach, and develop junior members of the team, supporting their personal development and driving team growth.· Stay updated … pitches, and hosting clients at events.· Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), and offering development.· Learning & development – Training to support your career development and the skills demand within the company, certifications etc.## **YOUR PROFILE**·Leading HR and Payroll projects, enabled ...

build what’s next – together! You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the ML Engine behind the Syrup platform and Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting … services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with data scientists, ML engineers, and platform partners. Your Impact Design and implement scalable, fault-tolerant predictive intelligence services and features as a core contributor to the ML Engine ...

real-time betting markets in Manchester. You will build advanced pricing models for sports products and in-play decisions using state-of-the-art ML techniques. The role offers hybrid working within the Quantitative Analysis team, with opportunities to influence pricing, risk and product strategy while mentoring teammates. #J ...

stakeholders Comfortable getting hands-on with APIs and no-code/low-code tools to build compelling demos Strong understanding of the AI/ML or voice technology landscape — you follow this space closely Exceptional communicator who can simplify complex technical concepts without losing their depth Highly self-directed with ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

Data Engineers, Data Scientists, and Platform Teams* Technical documentation and knowledge transfer* Agile delivery experience**Desirable Skills*** POSIT/RStudio migration experience* AI/ML and LLM integration* RAG and Vector Database exposure* Regulated industry experience## **We are a Disability Confident Employer:**Capgemini is proud to be a Disability Confident … does 'Get The Future You Want' mean for you?**You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous ...

supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Job Description As a Data Architect you will … secure data solutions. Our tech stack Multi-cloud, data warehousing and data lake platforms Data manipulation, integration and ingestion technologies Programming/scripting languages ML/AI frameworks Infrastructure & DevOps concepts and tooling, iData Visualization/BI & Analytics platforms, Semantic models and metrics layers Data governance tooling As a Principal ...

Data Science concepts or LLM experimentation using structured evaluation frameworks Highly proficient in Python, including asynchronous programming, multithreading and writing maintainable code Experience deploying ML workloads to cloud platforms (Azure, AWS or GCP) Familiarity with CI/CD and containerisation (Docker/Podman) Applied knowledge of statistics and experimental design … travel Core Competencies Demonstrates expertise in Data Science concepts and LLM experimentation, with a strong focus on building scalable evaluation frameworks and deploying ML workloads on cloud platforms. Proficient in Python and capable of translating complex findings into actionable insights while managing fast-paced workstreams. Highest-signal resume keywords Data ...

without authority Technical Knowledge Basic understanding of software architecture and technical feasibility Familiarity with cloud platforms and digital transformation concepts Knowledge of AI/ML capabilities, limitations, and business applications (for AI products) Understanding of data warehousing, analytics, and data-driven products Awareness of cybersecurity, data privacy (GDPR, CCPA … record of successful product launches and achieving business metrics (revenue, adoption, market share) Experience managing B2B or B2B2C technology products Experience with AI/ML products or analytics platforms is preferred Strong background in data-driven product management and experimentation Experience with enterprise sales cycles and customer success management Experience ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...

customer experience technologies including contact experience platforms, e-commerce front-end/back-end tools, order management systems, content management systems, and AI/Machine Learning-powered conversation analytics systems to drive continuous improvement. Leverage omni-channel operational expertise to identify gaps, design scalable solutions, and enhance ...

just a few years. Benefits 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the Role and Team At CreateFuture, our Lead Engineer - Cloud … level & Certifications Multiple professional‐level certifications (AWS Certified Solutions Architect – Professional or Azure Architect AZ‐305). Beneficial for AWS GenAI Developer Professional, AWS ML Engineer Associate, or Azure AI Engineer Associate. What We’ll Offer You We trust people to do their best work. That means flexibility over rigid ...

strong emphasis on Azure-based data solutions Expert-level knowledge of Azure and/or Snowflake services, including Data Factory, Data Lake, Azure ML, and Power BI/Fabric Proven experience with infrastructure-as-code using Terraform Experience building CI/CD pipelines via Azure DevOps and GitHub Actions Strong … Stakeholder Presentation Continuous Improvement Industry Keywords Healthcare Insurance Enterprise Data Platform Advanced Analytics Business Intelligence Tools & Technologies Azure Data Factory Azure Data Lake Azure ML Power BI GitHub #J-18808-Ljbffr ...

Jobtailor is seeking a senior MLOps leader to implement and evolve production ML/AI platforms on Microsoft Azure. You will coach a compact team of MLOps, Analytics and AI Engineers, and collaborate with Data Science and Software teams to push reliable, auditable models into production. The role emphasises governance ...

talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR‐specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible … integration patterns, including REST and SOAP APIs, event‐driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants ...

talent intelligence platform, and ServiceNow HRSD.* Build and prototype solutions leveraging HR-specific AI platforms, taking ideas from POC to production.* Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards.* Establish AI performance monitoring and responsible … integration patterns, including REST and SOAP APIs, event-driven architecture, synchronous and asynchronous processing, and data transformation.* Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems.* Experience delivering AI/ML and automation solutions within HR systems.* Experience with digital assistants ...

talent intelligence platform, and ServiceNow HRSD. Build and prototype solutions leveraging HR‐specific AI platforms, taking ideas from POC to production. Embed AI/ML, NLP, and chatbot capabilities into HR workflows and digital employee experience channels, aligned with enterprise AI governance standards. Establish AI performance monitoring and responsible … integration patterns, including REST and SOAP APIs, event‐driven architecture, synchronous and asynchronous processing, and data transformation. Demonstrated success designing and deploying AI/ML and automation solutions within HR or other enterprise business systems. Experience delivering AI/ML and automation solutions within HR systems. Experience with digital assistants ...