51 to 75 of 159 Machine Learning Jobs in Manchester

/CKA Certification is a plus. Experience and thorough understanding of DBaaS, PaaS, IaaS is plus. Exposure to Splunk, Elasticsearch, BigData, and AI/ML is a plus. Understanding of Networking, Storage, and Security Concepts is desirable. Good senior stakeholder contacts in the region with potential Telecom and Service Provider ...

Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation £140,000 - £160,000 Central London Highly successful, award winning, high growth scale-up looking for an experienced and driven Engineering Manager to join their team. As Engineering Manager, you'll play a pivotal role in shaping … Python, AWS, GCP is a must. Previous experience across IOS/Android is highly desirable. Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation ...

Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation £140,000 - £160,000 Central London Highly successful, award winning, high growth scale-up looking for an experienced and driven Engineering Manager to join their team. As Engineering Manager, you'll play a pivotal role in shaping … Python, AWS, GCP is a must. Previous experience across IOS/Android is highly desirable. Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation ...

Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation £140,000 - £160,000 Central London Highly successful, award winning, high growth scale-up looking for an experienced and driven Engineering Manager to join their team. As Engineering Manager, you'll play a pivotal role in shaping … Python, AWS, GCP is a must. Previous experience across IOS/Android is highly desirable. Engineering Manager - Start-Up/Scale-Up - Data/ML/AI Organisation ...

interfacing with advanced AI models. Configure environments and design databases for high-performance systems. Collaborate on real-world engineering work to support next-generation machine learning applications. Lead the creation of complex database schemas and ensure robust system architecture. Work independently and asynchronously to meet tight deadlines. Qualifications ...

smart, scalable prevention and detection. Translate regulation and risk into efficient, automated, and customer-focused controls. Partner with AI and technology teams to integrate machine learning, data analytics, and automation into onboarding, monitoring, and investigations. Deliver clear, strategic insights to executive and board-level forums. Drive consistent control ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

blueprint for future hospitals. We are also evolving our digital governance framework to ensure safe, effective, and innovative use of emerging technologies -- including AI, Machine Learning, and Robotic Process Automation -- across all areas of our services. Interviews provisionally scheduled for w/c 19th January 2026. Main duties ...

services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What ...

emerging technologies and assess their potential impact. Ensure Compliance: Uphold data privacy, security, and ethical AI practices. Experience needed: Proven experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python ...

emerging technologies and assess their potential impact. Ensure Compliance: Uphold data privacy, security, and ethical AI practices. Experience needed: Proven experience in AI/ML strategy and implementation within a commercial setting. Strong leadership and team management skills. Hands-on expertise with AI frameworks (TensorFlow, PyTorch) and programming languages (Python ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

development combined with an inquisitive mind and an intrinsic interest in people, leadership and success through teamwork. If you are looking for a broad learning experience, Thales offers you extensive development and challenges and will support you so that you can drive your career progression at the right rate … time on the programme, you will be under the sponsorship and guidance of the Engineering Leadership team and will follow a structured and detailed learning pathway to fast track your development within your role. Requirements: You will have gained or be on track to achieve a bachelor's degree ...

specifications that guide data solutions. Strong Communication Skills: Ability to effectively translate complex technical topics into clear, accessible language for non-technical audiences Continuous Learning and Development: Commitment to continuous learning and professional development, staying up to date with the latest industry trends, tools, and technologies. … certifications with leading cloud providers and in areas of data science, AI, and ML. Experience with Data for Data Science/AI/ML: Experience working with data tailored for data science, AI, and ML applications, Experience with Public Sector Clients: Experience working with public sector clients and understanding their ...

scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

continuous improvement. Drive Cloud Strategy: Advise clients on best practices, modern tooling, and cloud-native operating models. Work with Emerging Tech: Leverage AI/ML, platform automation, orchestration, and next-gen observability capabilities. Apply now and join a team where your cloud engineering skills will create real change — not just ...

continuous improvement. Drive Cloud Strategy: Advise clients on best practices, modern tooling, and cloud-native operating models. Work with Emerging Tech: Leverage AI/ML, platform automation, orchestration, and next-gen observability capabilities. Apply now and join a team where your cloud engineering skills will create real change — not just ...

career progression. A close-knit team environment where your ideas and contributions are valued. Exposure to cutting-edge technologies including AI, automation, and machine learning. A role where you can make a real impact—technically and culturally. We welcome applicants from all backgrounds and experiences. If you're passionate ...

from signal and evaluate information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What ...

Splunk across all cyber security and observability use cases. Lead SOC automation initiatives using scripting and SOAR tools, optimising processes through AI and ML technologies. Support alert tuning, connectivity, and visibility across monitored networks and infrastructure. Maintain and document SOC integrations, ensuring accurate configuration and performance visibility. Oversee SOC appliance … activities. Experience with VMware or Hyper-V environments and virtual networking. Demonstrated capability in implementing and maintaining cyber security tooling. Familiarity with AI or machine learning for workflow and playbook optimisation. Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given ...