1 to 25 of 48 Machine Learning Jobs in Yorkshire

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 ...

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 ...

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 ...

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 ...

this key role,you’lllead the engineering of AI and machine learning(ML)capabilities for the Economic Crime Hub, translating decision strategies into scalable, production-grade solutions We’lllook to you to own the end-to-end lifecycle of AI andMLmodels, from development and deployment through to monitoring … andMLsolutionsoperatereliablyandsafelywithin governed,compliant environments, while meeting business, risk, and regulatory requirements Whatyou'lldo AsaAI Engineering Lead,you'lllead the design, build, and deployment of ML models and AI systems into production environments.You'lltranslate decision strategies and analytical requirements into production-grade solutions, designing reusable pipelines and frameworks that support efficient ...

Engineer | Digital Agency | £60-70,000 NLP | LLM | RAG | AI | ML My client is currently looking for an AI Engineer , to play a key role in designing, building and embedding AI-enabled capabilities across digital products and shared platforms. You will focus on the practical application of large language models … with .NET, SQL Server and cloud-native application development. Knowledge of Semantic Kernel or similar AI orchestration frameworks. Experience deploying and operating AI or ML-enabled services in production environments. Salary : £60-70,000+ (we will consider more, dependant on experience) Location : Bradford (1 day a week) CV are being ...

high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical … prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 24 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python ...

high-profile function and contribute to initiatives that enhance the efficiency, scalability, and effectiveness of the global workforce. The Opportunity Core Focus: Algorithm Design, Machine Learning/NLP, Statistical Rigor About the Role Once our 6 core datasets are unified, you will hold the keys to the mathematical … prediction drift, and safely surface model confidence scores to executive decision-makers. Required Technical Skills Experience: 24 years of experience as a Data Scientist, Machine Learning Engineer, or Quantitative Analyst. Exposure to recommendation algorithms, NLP, or People Analytics is a major plus. Python Mastery: Fluent in Python ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

with RevOps to translate pipeline conversion, quota attainment, and bookings performance into a robust revenue forecast. Develop driver-based forecasting models — incorporating AI and machine learning techniques — that link sales activity, platform volumes (the number of parcels our customers ship), and pricing dynamics to ARR and cash outcomes. … based tools (e.g., Claude) for financial analysis. Ability to translate complex data into clear commercial insight for non-finance stakeholders. Demonstrated experience applying AI, machine learning, or intelligent automation tools to finance workflows (e.g., forecasting, anomaly detection, automated reporting). Comfortable working in a fast-paced, accountable environment ...

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 ...

teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent ...

with data warehousing and ETL processes. Knowledge of cloud data platforms such as Microsoft Azure, AWS, or Google Cloud. Familiarity with predictive analytics or machine learning would be advantageous. ...

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 ...

performance. Mandatory Skills & Experience Candidates must have strong experience in the following: Very strong Python development skills. Strong hands-on experience in AI/ML engineering and Generative AI applications . Proven experience building RAG applications in enterprise environments . Strong knowledge of document parsing, OCR and image-based data ...

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 ...

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 ...

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 ...