76 to 100 of 330 Machine Learning Jobs in the North West

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

getting things done. We’re curious and ready for what’s next. We embrace digital, use data to make better decisions, and keep learning, including how AI can help us work smarter and serve consumers better. Role : UK Demand Planning Manager Work Level : 2C The Magnum Ice Cream Company … while minimizing costs & cash and maximizing service levels. Key Responsibilities Forecast Management: Develop and maintain accurate short-, medium-, and long-term demand forecasts using machine learning models/AI driven forecasting tools, market intelligence, and cross-functional inputs. S&OP Leadership: Lead the demand planning component ...

complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements: Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

clinical data. The post holder will contribute to ongoing research projects aimed at improving cancer diagnosis, prognosis, and treatment through innovative use of machine learning and AI techniques. Key responsibilities include designing and implementing analytical pipelines, integrating diverse datasets, contributing to study design, and interpreting results … closely related discipline For Research Fellow level: significant postdoctoral research experience and a strong publication record Required Expertise/Skills Experience in machine learning, artificial intelligence, or statistical modelling applied to biomedical or imaging data Strong programming skills (e.g., Python, R, or similar) Experience working with large-scale ...

solutions. You'll work alongside highly skilled architects, engineers and AI specialists to design and build scalable data platforms that power advanced analytics, machine learning and AI-driven decision making. The Role As a Databricks Data & AI Engineer, you will be responsible for designing, developing and optimising modern … models within modern lakehouse architectures. Optimising platform performance, scalability, reliability and cost efficiency. Implementing data governance, security and data quality standards. Supporting AI and machine learning initiatives by creating trusted, reusable data foundations. Essential Experience developing data engineering solutions on cloud platforms Strong SQL and Python skills. Experience ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. … right place for you. Comet is backed by more than 63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

insurance products. Analyse customer behaviour, price elasticity, retention, and demand to identify opportunities for profitable growth. Develop and enhance predictive models using statistical and machine learning techniques. Support the development of customer lifetime value and retention frameworks to improve pricing decisions. Utilise pricing, competitor, and behavioural data … commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy at a senior ...

International Society for Bayesian Analysis is seeking to fill research positions in machine learning at various levels at the University of Manchester. Candidates will engage in groundbreaking research funded by the Turing AI World-Leading Researcher Fellowship, focusing on probabilistic modelling in diverse areas including human-AI interaction … drug design. Ideal applicants will have strong expertise in specific machine learning topics and a passion for collaborative research. #J-18808-Ljbffr ...

Bilingual Mandarin and English Process Control Engineer (Control Engineering & Machine Learning) PhD in Control Engineering or Chemical/Mechanical Engineering with a focus on control systems with a background in optimisation and mathematical modelling. Start date: To be agreed. Duration & hours: Full-time permanent contract, 40 hours … Northwest of England but is willing to occasionally travel to site in China. Your expertise in chemical engineering, control systems, mathematical modelling and machine learning will be instrumental in shaping our future. Qualifications & Skills: PhD in Control Engineering or Chemical/Mechanical Engineering with a focus on control ...

cellulose oligomeric forms by screening large arrays of structures with different moieties and charges. To effectively do this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry … related materials e.g. other plant cell wall polymers. This will involve the implementation, execution and analysis of advanced molecular simulations, the use of machine learning techniques and deployment on state-of-the-art high performance computing platforms. Through interaction with the PI and other members of the team ...

requirements that can be delivered as effective AI‐powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking … Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements ...

device inference, collaborate with signal-processing and neuromorphic engineers, and keep models honest against field conditions. What you’ll bring Experience with ML for time-series or biosignals (PyTorch/JAX), model evaluation under noisy real-world data, and a bias toward deployable systems. Apply for Machine Learning ...

scoring or predictive models, particularly using FMCG, retail or consumer behavioural data, would be a significant advantage. Key Responsibilities Develop, test and validate statistical, machine learning and predictive models to solve real-world business problems. Take ownership of solutions from initial exploration and prototyping through to deployment … FMCG, retail, consumer purchasing or behavioural datasets. Experience working with large-scale transactional, customer or product-level data. Experience with cloud-based data and machine learning platforms. Understanding of MLOps, model monitoring and production model lifecycle management. What We're Looking For We're looking for a Data ...

helping several teams agree on a practical way forward. GTI is part of Arm’s Strategy & Ecosystems organisation and works with teams across graphics, machine learning, drivers, developer tools, and performance. Responsibilities The Principal Software Engineer will: Lead game-engine investigations and integrations involving new Arm graphics … partners' offices. Nice to Have Experience in some of the following areas would be useful: Unreal Engine, mobile graphics, Android, or Arm Mali GPUs. Machine learning for graphics, neural rendering, upscaling, frame generation, or development with pre-release hardware and software. We don't expect a deep level ...

organisation, providing insight into how we operate and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred learning style. From day one, access to mentors and subject matter experts will help you settle into … every step of the way, as you become an integral part of our innovative team. We’ll provide the space and resources for continuous learning and improvement, with up to 30% of your time dedicated to personal development, giving you the freedom to explore new technologies, build professional skills ...

Product Manager, Knowledge Platform drives strategy and development of Lightcast's knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product … with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery. Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems. Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders. Ability to work directly ...

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 ...

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 ...

Royal London is seeking a Senior Machine Learning Engineer (MLOPS) to design production‐grade ML workflows using Databricks, MLflow and Azure ML, with strong governance and risk management. You will mentor colleagues, define CI/CD standards, promote reusable patterns, and collaborate with data scientists and platform teams … productionise models safely and efficiently. This hybrid UK role offers engaging benefits and the chance to shape ML engineering practices across the business. #J-18808-Ljbffr ...

particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies and approaches Consultancy Skills Enthusiasm for learning and self-development and sharing that within a team and organisation Knowing how to gather basic requirements from clients and users on a data … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Demonstrate a commercial mindset when ...

Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role … within Software Engineering, Principal or Architect‐level role owning systems at scale. Deep expertise in Python and in designing and operating high‐availability, production ML services. Hands‐on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...