76 to 100 of 179 Machine Learning Jobs in the North West

BI , SSAS Tabular , DAX , and T-SQL Comfortable with Python for data modelling and predictive analytics Proven experience building forecasting models and 'what-if' scenarios Exposure to AI/ML tools applied to business problems Solid stakeholder management skills - able to work with teams across the business Background in insurance or financial services is a strong advantage Familiarity with Databricks More ❯

BI , SSAS Tabular , DAX , and T-SQL Comfortable with Python for data modelling and predictive analytics Proven experience building forecasting models and 'what-if' scenarios Exposure to AI/ML tools applied to business problems Solid stakeholder management skills - able to work with teams across the business Background in insurance or financial services is a strong advantage Familiarity with Databricks More ❯

BI , SSAS Tabular , DAX , and T-SQL Comfortable with Python for data modelling and predictive analytics Proven experience building forecasting models and 'what-if' scenarios Exposure to AI/ML tools applied to business problems Solid stakeholder management skills - able to work with teams across the business Background in insurance or financial services is a strong advantage Familiarity with Databricks More ❯

progress, risks, and benefits realisation Promote AI best practices, governance, and ethical considerations Build business cases and communicate value to senior stakeholders Required Experience: Proven experience managing AI/ML implementation projects in a complex organisation Strong understanding of AI technologies, including machine learning, natural language processing, and automation tools Experience working in financial services or similarly regulated 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 ❯

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 ❯

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 ❯

Cloud. Architect and implement robust, scalable data ingestion frameworks for batch and streaming use cases. Collaborate with stakeholders to deliver high-quality, reliable datasets to live analytical platforms and machine learning environments. Serve as a technical advisor on data infrastructure design across the business. Proactively identify improvements and contribute to evolving best practices, with freedom to experiment and … have). Solid knowledge of Apache Spark and Databricks. Proficiency in Python for data processing and automation. Familiarity with NoSQL technologies (e.g., MongoDB, Cassandra, or DynamoDB). Exposure to machine learning pipelines or close collaboration with Data Science teams is a plus. A self-starter with strong analytical thinking and a “leave it better than you found it More ❯

delivery of innovative data and AI solutions across multiple client engagements. Act as a trusted advisor to C-level stakeholders, providing strategic direction on emerging technologies such as IoT, machine learning, event-driven architectures, and cognitive services. Design scalable, resilient systems using modern cloud platforms (AWS, Azure, or GCP), leveraging IaaS, PaaS, and SaaS solutions. Provide technical assurance … and mentorship to agile delivery teams, ensuring architectural coherence and successful delivery. Guide other architects and engineers in their professional growth, managing capability development and fostering a culture of learning and inclusion. Champion best practices in cloud data platforms, data integration (e.g., messaging, queuing, CDC), and non-functional design principles. Collaborate closely with clients to understand business goals, ensuring … companys presence in the data and AI space. What Youll Bring A broad understanding of modern and emerging data/AI technologies across architecture patterns, data platforms, analytics, and machine learning. Demonstrated experience designing, building, and deploying enterprise-scale, data-intensive applicationspreferably across distributed systems. Proven ability to lead architecture for cloud-native solutions, using at least one major 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 ❯

Will Do TetraScience is looking for a Technical Enablement Lead/Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and … be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate More ❯

environment. Additional skills that would be beneficial We heavily utilise Amazon Web Services so experience with AWS or similar is a bonus. Experience working with AI tools. Knowledge of machine learning models. Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also 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 ❯

a Knowledge Transfer Partnership (KTP) project with Fusion21 Ltd. The University of Manchester and Fusion21 Ltd are looking to recruit an individual with evidence of a strong grounding in Machine Learning and AI who will work alongside an MLOps Software Engineer (KTP Associate) to collaboratively deliver this 24-month project. The project aims to design and deliver a … disruptive technical innovation programme that embeds advanced Machine Learning, AI and software engineering techniques within the procurement process and supports the incorporation of a data-driven AI-enhanced business model and information management framework, supporting the company's strategic vision for digital transformation. Job reference: SAE-028736 Faculty/Organisational Unit: Science and Engineering Employment type: Fixed Term … include: The position will provide the successful candidate with a unique opportunity to work within a multi-disciplinary team of academics, industry practitioners and another KTP associate, and translate Machine Learning, AI, and Software Engineering techniques to deliver a robust Software/AI enabled solution. Candidates will require a PhD or a very strong Masters degree with relevant 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 ❯

new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We're seeking a data scientist with a strong research background in machine learning and a focus on speech or … research concepts into deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience … Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions Strong communicator, comfortable working across interdisciplinary teams 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 ❯

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 ❯

and curiosity Ideal Profile PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro 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 ❯

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 ❯

with MCP tools or advanced model configuration systems. Understanding of prompt injection prevention, ethical AI, and safety frameworks. Background in designing reusable AI components for experimentation and scaling. Skills Machine learning Python artificial intelligence engineering Job Title: Junior AI Engineer Location: Liverpool, UK Rate/Salary: 400.00 - 425.00 GBP Daily Job Type: Contract Trading as TEKsystems. Allegis Group 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 ❯