26 to 50 of 159 Machine Learning Jobs in Manchester

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

Academy community. This role involves managing knowledge repositories (e.g. B.Learn, ServiceNow, Slack, Confluence or equivalent), facilitating knowledge sharing, and promoting a culture of continuous learning and improvement. Key Job Responsibilities and Duties: L&D Knowledge Management Strategy: To support in the development and implementation of a comprehensive knowledge management … implementing successful knowledge management initiatives. Tech Experience: Strong background working in a tech environment, with experience in areas like software engineering, data science, machine learning, or product management. To be able to understand their complexities, problem statement and cocreate the right learning interventions Excellent Learning content ...

investigation workflows, and threat analysis. Extend and enhance our next-generation AI antivirus engine by designing new feature representations, building file parsers, and developing ML models end-to-end. Engineer and implement core parser and model components in C++ and Python to seamlessly integrate into the Cynet Endpoint Agent … platform infrastructure. Use Cynet's ML experimentation pipelines to run experiments, optimize performance, and deliver production-ready detection models. Serve as the cybersecurity expert within the Data Science team, guiding threat modeling, malware understanding, and security-driven AI design decisions. Requirements: 5+ years of hands-on cybersecurity research experience. Proven ...

unstructured data. Define and implement a unified data and metrics framework to ensure consistent definitions and understanding of KPIs across the organization. Data/ML Operations: Establish and lead the design of CI/CD processes and tooling for data pipelines, enabling scalable, automated, and high-quality delivery across environments. … Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints. Experience building the infrastructure that facilitates deployment and production tuning of ML models and AI systems (including LLMs). GCP Professional Data Engineer or Professional Machine Learning Engineer certifications. Why join us? Become part ...

Tetra Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Principal/Associate Geospatial Developer (GIS/AI/ML) Manchester or Southampton Tetra … Tech is looking for a Principal/Associate Geospatial Developer (GIS/AI/ML) to join our team and help us transform our Geospatial solutions with our Leading with Science mantra for our clients. Why this is a great opportunityfor you: Shape the Future: Lead the design and delivery ...

looking for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks. Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog ...

looking for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks. Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog ...

delivering AI models, systems and products to production. Strong foundation in software engineering with hands-on experience building and deploying production-grade AI or ML-enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming ...

organisation, which will provide insights into how we operate, and the collaborative environment you'll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you'll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We'll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

least three years of professional software engineering experience, data science or related Has at least two years of hands on experience building machine learning/LLM based features in a live product used by real users Has strong full stack skills, for example TypeScript and Node, Python ...

technology, like Snowflake or Databricks, as well as ETL processes, analytics and cloud technologies, Data Engineering, Data Science Hands on Experience in AI/ML solutions like Einstein, Sagemaker, and Vertex. Solid Understanding of Generative AI. Hands on Experience designing data solutions on cloud platforms like Amazon Web Services, Microsoft ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

they impact AI governance and data handling. Cloud Technologies & AI Capabilities: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML offerings, understanding how these support AI development and deployment. Risk Mitigation & Tracking: Ability to develop and monitor risk mitigation plans, report on progress, and ensure ...

driving the development of a scalable, future-ready data ecosystem. You'll take ownership of data platform delivery, ensuring it underpins analytics, reporting, and machine learning initiatives across the organisation. Working alongside product leaders, data scientists, and senior stakeholders, you'll translate business needs into robust technical solutions ...

driving the development of a scalable, future-ready data ecosystem. You'll take ownership of data platform delivery, ensuring it underpins analytics, reporting, and machine learning initiatives across the organisation. Working alongside product leaders, data scientists, and senior stakeholders, you'll translate business needs into robust technical solutions ...

driving the development of a scalable, future-ready data ecosystem. You'll take ownership of data platform delivery, ensuring it underpins analytics, reporting, and machine learning initiatives across the organisation. Working alongside product leaders, data scientists, and senior stakeholders, you'll translate business needs into robust technical solutions ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...

Location: Remote Duration: 1–2 months Commitment: 20–40 hours/week Role Responsibilities Develop and configure robust, high-performance systems for next-generation machine learning applications. Design and implement scalable APIs and service layers interfacing with advanced AI models. Configure environments and design databases to support real ...

with a solid grounding in mathematics Experience of programming, with C or C++ of particular interest Skills in algorithmic understanding Experience in AI and machine learning will prove useful Experience of Agile development would also be an advantage One Last Thing OpenText is more than just a corporation ...

with a solid grounding in mathematics Experience of programming, with C or C++ of particular interest Skills in algorithmic understanding Experience in AI and machine learning will prove useful Experience of Agile development would also be an advantage One Last Thing OpenText is more than just a corporation ...

presentation skills. Ability to lead and develop multidisciplinary teams, including data scientists, analysts, and governance professionals. Desirable Ability to lead innovation in AI, machine learning, and predictive analytics in a healthcare context. Skilled in change management and digital transformation. Knowledge Essential In-depth understanding of NHS data standards ...

award-winning delivery unit at the forefront of intelligent automation in government. The Garage provides cutting-edge digital transformation capabilities, including robotics, computer vision, machine learning, generative AI, and more. To date, we've deployed over 80 solutions that have processed more than 74 million transactions, making … analytics and Qlik Sense for BI dashboards, all on modern MacBook Pro devices. We offer access to industry conferences, comprehensive training, and digital learning resources to support your development. Details. Wages. Perks. Location: You'll join us in our brilliant digital hub in Newcastle. Hybrid Working: We work ...

quality, and outcome. Security and compliance awareness: You understand the importance of PCI, data privacy, and secure-by-design principles in payment systems. Continuous learning: You're curious about how things connect across the platform, eager to learn from peers Mentor to other engineers Strategic thinking: You see beyond … tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing ...

hours/week Role Responsibilities Develop scalable APIs and service layers interfacing with advanced AI models. Configure environments and design databases to support machine learning applications. Lead the creation and testing of complex database schemas. Collaborate asynchronously and work independently with flexible hours. Enhance system performance to meet ...