20 of 20 Permanent Machine Learning Jobs in Leeds

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and strengthen the security of critical public services. This is an opportunity … critical infrastructure. About the team The Security Data Science team sits within DWP's Cyber Resilience Centre, bringing together expertise in data science, analytics, machine learning and automation to tackle some of the department's most complex security challenges. The team develops innovative capabilities that help identify threats ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

range of cross‐Bank communities on cloud, data science tools and AI. Role Requirements – Minimum criteria Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud‐based technologies and solutions (Azure and Databricks preferred), DevOps … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production‐ready pipelines through new data ...

staff. 5. Lead and deliver FSSRs Data & AI strategy as part of the broader DGFS agenda Role Requirements Advanced technical expertise in data science, machine learning or data engineering, including experience with Python and/or R. Strong understanding of cloud-based technologies and solutions (Azure and Databricks … generative AI technologies including AI agents and their practical applications. Proven experience leading analytical projects that leverage large and complex datasets, applying data science, machine learning and AI techniques to derive actionable insights and support policy. Experience delivering business change and production-ready pipelines through new data ...

ready. Responsibilities: Designing enterprise-scale AWS data and analytics architectures Leading the delivery of cloud-native data platforms across the full data lifecycle Integrating machine learning, Generative AI and large language model capabilities into business solutions Defining data governance, security and architecture standards Advising senior stakeholders on technology … analytics services Experience designing both batch and real-time data processing solutions Knowledge of modern cloud architecture patterns including APIs and microservices Experience implementing machine learning, Generative AI and AI-enabled solutions Strong understanding of data governance, security and compliance requirements Excellent communication and leadership skills What ...

ownership rather than being one of many data scientists in a large, siloed team. What You'll Be Doing Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour Writing efficient, well-tested SQL and Python to explore, clean … similar) to validate impact Requirements: Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data i.e. sales, loyalty ...

Design mathematical models and optimisation algorithms for complex industrial decision-making problems. Develop quantum, quantum-inspired, and hybrid quantum-classical algorithms. Investigate AI and machine learning techniques that complement optimisation workflows. Evaluate new computational approaches for emerging hardware and software platforms. Software Engineering Develop high-quality scientific software … Quantum Computing, or a related field. Strong expertise in one or more of the following: Mathematical Optimisation Quantum Computing Quantum Algorithms Artificial Intelligence/Machine Learning Scientific Computing High-Performance Computing (HPC) Strong programming skills in Python, C++, Julia, Rust, or similar languages. Experience developing scientific software ...

Business Intelligence platforms are secure, scalable, reliable, and aligned with business needs. Lead the Business Intelligence modernisation strategy, including cloud adoption, Artificial Intelligence (AI), machine learning, and intelligent automation initiatives. Define and communicate technology roadmaps, recommendations, and business cases for platform improvements. Act as a senior escalation point ...

knowledge of integration (APIs, microservices, messaging) and distributed systems Hands‐on experience with Microsoft Power Platform and low-code automation ecosystems Solid understanding of ML, GenAI, MLOps and DevOps practices A track record of influencing stakeholders and shaping technical strategy in complex environments The ability to simplify the complex ...

Research publications in mathematics or related quantitative disciplines. Experience teaching, mentoring, or conducting academic research. Experience reviewing technical or academic work. Familiarity with AI, machine learning, or computational mathematics is a plus. Compensation Competitive compensation of $70–$90/hour. Weekly payments. Independent contractor engagement. Application Process Upload ...

evolving enterprise-scale data platforms Deep expertise in cloud-based data and analytics services on the Microsoft Azure platform (e.g. Azure Databricks, Azure ML) Experience shaping proofs of concept and evolving designs into production solutions Strong stakeholder engagement skills, including engagement with senior stakeholders Experience leading and developing architecture teams ...

largest repositories of personal and financial data. We're looking for a Lead Security Data Scientist to lead a specialist team using data science, machine learning, AI and advanced analytics to detect threats, uncover malicious activity and str... WKCL1_UKTJ ...

basic salary + uncapped commission + bonus Join a well-established global business that are experts in technology recruitment, with specialisms in AI & machine learning, software and semiconductors markets. When you join, you’ll receive structured training, hands-on mentoring, and the autonomy to grow your own desk … with clear promotion routes Brand new office space with an office bar Birthday off work using no annual leave Company iPhone and laptop Dedicated learning & development team The Role: Sourcing and headhunting top-tier candidates Building and managing candidate relationships Supporting senior team members on active mandates Working closely ...

Factory, Copilot or similar platforms. Understanding of data quality and governance principles. Strong problem-solving and stakeholder engagement skills. Desirable Skills Exposure to AI, machine learning or agent-based technologies. Experience with low-code/no-code platforms. Experience working within manufacturing or operational environments. Personal Attributes Curious ...

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 ...

dashboards (DAX, Power Query, RLS, performance). ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … Pivot tables, Power Pivot. Qualifications: Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer: Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

recommendations and strategic thinking. Desirable Knowledge of supply chain/logistics KPIs. Proficiency in SQL for data extraction and transformation. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

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 ...

within the organisation. Solutions delivery focus – proven ability to execute and deliver practical solutions, working closely with engineering teams to bring architectures to life. ML/AI platform enablement – demonstrated experience productionising data science and ML/AI capabilities through the data lifecycle, including feature stores, training pipelines, model serving … patterns, and data platforms that enable ML at scale. Regulatory & compliance experience – designed and implemented compliant data solutions across regulated environments (PCI/SOX/HIPAA), ensuring adherence to industry standards and data protection requirements. Benefits Bonus scheme Uncapped holiday allowance Enhanced pension scheme Private healthcare Life assurance Income protection ...

excellence and act as a role model for proactive, positive leadership. What You Bring to the table Deep expertise in data platforms, AI/ML, cloud architectures, and analytics, translating technology into practical, scalable solutions. Strategic and commercial mindset, connecting technology choices to business outcomes and growth opportunities. Hands … well as just a change of scenery. You will be supported by a dedicated growth team, an engaged Practice Area community, and extensive learning resources, designed to help you reach your career goals and develop the skills you need to be your best self. Monthly and quarterly team socials ...