26 to 50 of 82 Machine Learning Jobs in Lancashire

senior management. Experience integrating Internet of Things (IoT) solutions into IT infrastructure and leveraging IoT for operational improvements. Practical experience implementing Artificial Intelligence (AI) and Machine Learning (ML) solutions to optimise business processes and decision-making. Expertise in data management, analytics, and visualisation tools to extract actionable insights and drive data-driven decision-making. Proficiency in applying advanced More ❯

Senior Analytics Engineer - Speciality Insurance - Manchester City Central - Hybrid - Machine Learning We're on the lookout for a Senior Analytics Engineer to join a Data Analytics team within a Specialty Insurance organisation. This position plays a key role in enhancing reporting and analytics capabilities across the entire organization. Their current team brings strong expertise in Power BI and … Tabular models, and they are now looking to strengthen it further with someone who has a background in machine learning and AI. This is a business-facing role, requiring someone who can help plan and coordinate the delivery of data-driven solutions aligned with business objectives. We've recently rolled out a modern Data Platform featuring embedded Power More ❯

owncreativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational More ❯

will be beneficial. Key Responsibilities Develop and maintain scalable, efficient backend systems and APIs for internal and client-facing platforms. Collaborate with data scientists and energy specialists to integrate machine learning models and data processing pipelines into production software. Contribute to tools that support renewable energy optimization, including grid analytics, tariff comparison, and wind farm design automation. Work More ❯

platforms is a plus. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Ability to work independently and as part of a team. Preferred Skills: Knowledge of machine learning techniques and algorithms. Experience with cloud-based data storage and processing solutions. Understanding of data governance and best practices in data management. Salary and Benefits We offer More ❯

at 1st Central . You'll lead in shaping and scaling our Azure Data Platform-designing solutions that are smart, secure, and scalable, supporting everything from business intelligence to machine learning. You'll collaborate with Data Architects, Principal Engineers, and teams across Tech to deliver infrastructure as code using tools like Bicep and Terraform. Whether it's setting standards … periodically. What's involved: Collaborate with Data Architecture and Principal Engineers to develop new data capabilities in our Azure Data Platform. Lead design and implementation of Data Science and ML Ops environments. Manage infrastructure, security, and performance of the Azure platform, ensuring data protection and insight delivery. Translate high-level solutions into detailed designs and work packages. Build and test More ❯

effectively with multiple stakeholders. Experience supporting operations teams with analytical insights to enhance performance. Experience working in a fast-paced environment with shifting priorities. Knowledge of statistical analysis or machine learning concepts. Industry knowledge in fuel pricing, energy markets, or retail fuel operations. Why Join EG Group: Performance Based Bonus Scheme Access to Apprenticeships and accredited qualifications Career More ❯

core ecosystem. Proven experience in designing, developing & deploying scalable backend systems. Familiarity with CICD, containerisation, deployment technologies & cloud platforms (Jenkins, Kubernetes, Docker, AWS) or Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Excellent communication, collaboration & problem solving skills, ideally with some experience in agile ways of working. Security clearance: You must be able More ❯

internal processes and clients. Create innovative applications leveraging Generative AI models for intelligent outputs, such as: Predictive analytics Integrate AI algorithms into web-based platforms for seamless functionality. Optimize machine learning models for real-time performance. Refine AI training data to improve algorithmic accuracy. Explore new frontiers in AI-driven automation and creativity. Code Review and Documentation: Conduct More ❯

and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations A mathematics background with knowledge … of numerous machine learning models Experience with data visualisation tools Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise and strong analytical skills A least a 2:1 degree in Computer Science, Mathematics More ❯

Collection Foundation team, we combine our diverse backgrounds, expertise, and problem-solving skills to research, develop, and enhance smart, automated tools that streamline sustainability data collection. We thrive on learning new things and tackling challenges together. Role description You will work on developing and maintaining data collection methods that are used to collect sustainability data. The team has developed … our product and software. A naturally outgoing personality who sparks conversations, values everyone's contributions to the bigger picture, and brings energy to team interactions and collaboration. Experience from machine learning, artificial intelligence and working with the current leading providers of cloud-based AI platforms. Solid experience from developing and hosting enterprise-grade software and services using Amazon More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we're expanding globally with new offices in Australia, South More ❯

teams across the AI workflowfrom exploration and model development to deploying generative AI and machine learning pipelines. The ideal candidate will have strong Python skills, experience with ML frameworks (e.g., PyTorch, TensorFlow), and a background in training or fine-tuning models including LLMs. Familiarity with technologies like RAG, vector databases (e.g., Qdrant), and MLOps tools (e.g., DVC) is … and domain experts to align solutions with real-world needs. Ensure that AI solutions are responsible, ethical and align with governance standards. Stay informed on developments in AI and ML, particularly around generative AI, and evaluate their applicability within the organisation. Contribute to a culture of curiosity, experimentation and continuous learning within the team. Skills & Experience: You will have … the following skills or proven experience: Strong programming skills in Python and experience with AI/ML libraries (e.g. PyTorch, TensorFlow, HuggingFace Transformers) Experience training and/or fine-tuning machine learning models, ideally including LLMs or other deep learning architectures. Able to work collaboratively with Data Scientists, engineers and stakeholders in an agile environment. Experience with More ❯

to progress into management if this is something you foresee in your career.The Data Scientist will work in the Insight Services team and be responsible for leading AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to … sets to derive actionable insights and create clear, informative visualizations. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations. Continuously improve existing machine learning models and introduce innovative solutions that add value to the company's services. Ensure data quality and integrity throughout the data lifecycle. Stay informed on new technology … and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight deadlines. Strategic thinker with outstanding communication skills, capable More ❯

progress into management if this is something you foresee in your career. The Data Scientist will work in the Insight Services team and be responsible for leading AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to … sets to derive actionable insights and create clear, informative visualizations. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations. Continuously improve existing machine learning models and introduce innovative solutions that add value to the company's services. Ensure data quality and integrity throughout the data lifecycle. Stay informed on new technology … and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight deadlines. Strategic thinker with outstanding communication skills, capable More ❯

on the lookout for improving systems and processes. You will join our product team with a focus on writing automated tests for our cloud products including artifical intelligence and machine learning Time is split as needed between university and work. We will ensure you get all the time you need to attend studies and complete course work. Key … technologies (e.g. Docker) Excellent problem-solving and communication skills Growth Path: This role offers opportunities to advance into senior Quality Assurance and QA Engineering roles. We support and encourage learning of all kinds. We will offer technical and skills based training throughout the apprenticeship and beyond and it is our hope that the successful candidate will wish to continue More ❯

you, you might be just who we're looking for as our next Digital AI Engineer Apprentice! What You'll Be Doing: AI Curiosity : Help design, develop, and test machine learning models that make smart decisions - from recognising patterns to chatting like a human. Data Learning : Dive into big data, explore datasets, and uncover insights that help More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge … projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment. Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data … Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React More ❯