151 to 175 of 208 Machine Learning Jobs in Manchester

Data Scientist/AI Engineer for a permanent, on-site role. You will work on a portfolio of public and private sector projects, applying ML, GenAI, NLP and related technologies. You will lead client engagements, define solutions, communicate value, and guide delivery teams, with opportunities to publish whitepapers and present ...

powered results, focusing on Generative and Agentic technologies. The ideal candidate has experience in consulting, full-stack development, and a strong foundation in machine learning. This position offers flexibility, a supportive team environment, and the opportunity to impact real-world applications as part of a diverse organization. #J ...

into real, scalable business impact. This is not a research role; it’s about turning AI into real‐world value. You’ll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end‐to‐end. Skills ...

growth through ISV platform expansion: new trust deployments, workload migrations from on-prem/competing cloud, and upsell of AWS-native services (AI/ML, analytics, security)3/Work across health tech AWS and NHS regional account managers to design and execute joint business plans with each ISV — aligning ...

projects. Although not a requirement, helpful experience includes: An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures. During our application process, you will be asked two questions ...

seeking a Data Scientist to turn business questions into predictive models and data-driven insights. You will clean and explore large datasets, build machine-learning solutions, and collaborate with engineering to deploy models into production. The role sits in a fast-growing data science team ...

Treefera in the United Kingdom is seeking a Machine Learning Scientist to develop models that analyze satellite and radar data within global commodity supply chains. You'll engage in building lightweight models for tasks like commodity mapping and biomass estimation. The role emphasizes collaboration with cross-functional teams ...

Head of Data Science to lead a growing team of 6+ scientists. This role involves setting the technical direction and driving the transition towards machine … learning engineering, aligning with company-wide objectives. The ideal candidate will have proven leadership experience and a strong background in building and deploying ML models at scale. This is a fantastic opportunity to shape the data science strategy and support career growth within the team. #J-18808-Ljbffr ...

also anchors Omnicell's forward investment in AI‐driven operations. Over the course of the first year, the organization intends to incorporate AIOps and ML‐assisted observability — anomaly detection, intelligent alert correlation, LLM‐assisted runbook generation — into how we monitor and respond to our platform. You will be the technical … LitmusChaos, or equivalent). Validate that what we think is resilient actually is. AI‐driven operations Architect Omnicell's AIOps direction: evaluate and introduce ML‐based anomaly detection, predictive alerting, automated root cause analysis, and LLM‐assisted runbook or triage pipelines. Make informed build‐versus‐buy calls across the AIOps ...

Bank of New York Mellon Corporation in Manchester is seeking a Vice President, AI/Machine Learning Data Engineer to design and deliver AI-powered data solutions for enterprise problems. You will drive problem formulation, model selection, and system integration across data platforms, collaborating with platform, data ...

Hippo is a fast-growing digital consultancy delivering transformative digital solutions for public and private clients. We seek a Senior Data Science Engineer to lead data science initiatives, mentor staff, and deliver secure, scalable data ...

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 ...

FTPS and automated data retrieval CI/CD, automated testing and deployment Platform reliability, monitoring and troubleshooting Azure infrastructure, security and governance Data Science, ML and increasingly agentic workflows The focus is production engineering rather than building AI models, creating the foundations that allow Data Science and automated workflows … platform, DevOps and systems engineering. They also value genuine technical curiosity. If you keep up with new technology, experiment with AI/deep learning or have side projects outside your day job, they'll want to hear about them. A STEM background is beneficial, but not essential. Nice ...

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 ...