76 to 100 of 195 Machine Learning Jobs in Manchester

experience delivering production solutions, supported by a portfolio or real-world examples. Strong interest in AI, automation and emerging technologies, with evidence of continuous learning and experimentation. Experience making architectural and technical decisions independently. Hands-on experience building and deploying AI solutions using modern AI platforms and large language … Azure Functions, Azure AI Search, Semantic Kernel, Microsoft Agent Framework or similar technologies. Experience with data modelling, governance, security and enterprise architecture. Exposure to machine learning, predictive analytics or forecasting solutions. Relevant Microsoft or cloud platform certifications, such as AI-102, AI-103, AB-620 or equivalent. ...

success converting ambiguous business opportunities into funded roadmaps, prioritized backlogs, and measurable business outcomes. AI & Product Leadership Strong understanding of Artificial Intelligence, Generative AI, Machine Learning, Agentic Systems, Process Automation, Knowledge Management, and Data Products, with a proven record of delivering production-grade solutions. Experience defining product strategy ...

require all candidates tobe willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical ...

software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm ...

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 and building CI/CD pipelines via Azure DevOps and GitHub Actions. * Strong ...

Stay up to date with new platform capabilities and actively suggest improvements or new services that align with company strategy (e.g., enabling AI/ML or hybrid connectivity). Represent the team to the rest of the company, co-authoring bid documentation for new customer work. If the following describes ...

including semantic modelling, DAX, and the design of executive‐ready dashboards and reports for non‐technical audiences. Demonstrable experience applying LLMs and/or ML to real workflow problems — e.g. document extraction, classification, summarisation, retrieval‐augmented generation (RAG), structured output generation. Familiarity with the wider Microsoft 365 and Power Platform ...

across the full transformation lifecycle: Migrate (infrastructure landing and workload mobility) Modernise application refactoring, containerisation, serverless adoption) Activate Data (analytics, lake formation, AI/ML readiness) Deploy Applications (GenAI, agentic workloads, intelligent automation) Your role is to find, build, and close deals across this lifecycle, always starting from the customer ...

quality project delivery. Support proposals, reusable assets and new ideas that strengthen our Operational Analytics capability, while sharing knowledge and helping teammates grow. Keep learning as AI technology evolves, considering responsible use, explainability and appropriate governance throughout delivery. As part of your role you will also have the opportunity … client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE You should have a skillset that ...

Principal Data Scientist & Machine Learning Researcher in the United Kingdom. This role involves design, planning, and technical leadership across multiple AI/ML projects within a hybrid working environment. The ideal candidate must have a BSc in a relevant field and multiple years of experience in delivering innovative … ML solutions. You will join a collaborative culture focused on providing technical leadership and developing novel AI solutions for defence and aerospace technology. #J-18808-Ljbffr ...

range from junior to lead levels, offering a salary from £45k to £95k DoE plus a 15% clearance bonus. You will work with machine learning, GenAI, NLP and engagement with clients to deliver impactful AI solutions. The role requires strong communication and leadership across Agile teams, experience with ...

platforms including Azure , AWS or Google Cloud . Experience designing large-scale distributed architectures using APIs, Microservices and modern integration patterns. Strong knowledge of Machine Learning, MLOps, DevOps and AI delivery practices. Knowledge of Enterprise Architecture frameworks such as TOGAF. Experience producing architecture documentation, standards and governance. Strong ...

willing and eligible to hold SC and eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems ...

someone who has simply experimented with ChatGPT or integrated an LLM API. You may have a background as an AI Engineer, Generative AI Engineer, Machine Learning Engineer, Software Engineer or AI Solutions Engineer, but you will have developed a strong practical understanding of modern Agentic AI. You should ...

ability to analyse large data sets to uncover new insights. You'll work in a multidisciplinary, highly technical environment, developing scalable data mining and ML solutions. Proficiency with C++, Java, Python, SQL/Excel and Hadoop-based tools is required. MSc or PhD in a quantitative field is preferred. #J ...

issues. Develop and maintain low-level graphics APIs and layout systems that serve as the backbone for Roku’s application ecosystem. Integrate AI/ML capabilities at the systems level, leveraging generative AI tools to optimize code generation and automate performance profiling. Collaborate with firmware and driver teams to leverage ...

business growth activities. Active participation in AI, SRE, platform engineering or cloud communities. Certifications (Desirable) Azure AI Engineer Associate Azure Solutions Architect Expert AWS Machine Learning Specialty Google Professional Cloud Architect Certified Kubernetes Administrator (CKA) SRE Foundation or SRE Practitioner Relevant observability platform certifications (Datadog, Dynatrace, Splunk etc. … then execution. Our consultants are formally trained from industry experts on management consulting and client delivery. We provide a host of opportunities for learning and certification through internal and partner led programmes from AWS, Google and Microsoft. Les Fontaines: Capgemini Invent has a unique training environment just outside ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients. The Focus Of Your Role and What … multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders ...

Azure DevOps, Git, APIs, and Agile methodologies Desirable: Microsoft Fabric Azure Data Factory Azure Functions Power Apps Power Automate SSRS/SSIS AI and Machine Learning exposure. Why Join Us? At Ascent, we pride ourselves on creating a supportive, inclusive, and collaborative environment where your contributions truly make ...

static websites, such as Nuxt.js or Next.js Experience migrating legacy infrastructure into Infrastructure as Code using Terraform Experience with data engineering, particularly leveraging Machine Learning to gain insights Experience with Laravel and PHP version upgrades Experience deploying and maintaining queuing and caching technologies including: -Kafka/MSK -Redis ...

input into cloud architecture, network segmentation, logging and encryption. AI & Emerging Talent Assessing the security implications of new and emerging technologies, including AI and machine-learning tools. Helping ensure appropriate data-handling safeguards and human oversight are built into AI adoption. What you’ll need We’re looking ...

business impact across Azure, GCP, or AWS. You will collaborate with Product Managers, Data Scientists and stakeholders to deliver end-to-end AI/ML pipelines, governance, and guardrails while embedding ethics and safety throughout the lifecycle. #J-18808-Ljbffr ...

solving skills, combined with a proactive approach and knowledge of social engineering, phishing threats, and security best practices; relevant Microsoft certifications and AI/ML qualifications are advantageous. Benefits: Pension Life Insurance 25 days annual leave Car scheme Plus, more Next Steps: Due to the sensitive environments, where you will ...

maintaining high team morale. Deep technical expertise in the Microsoft Azure ecosystem, cloud‐first environments, and C#. Hands‐on experience with AI/ML integration, robust manual/automated testing, and modern CI/CD pipelines using Git, JIRA, and Azure DevOps. Strong mastery of the Agile software development lifecycle ...

experience in NLP and large-scale data analysis. You will work in a multidisciplinary, highly technical team to apply scalable data mining and machine learning techniques, including kernel methods and deep learning. Responsibilities include translating business needs into technical requirements and leveraging distributed computing tools such ...