26 to 50 of 152 Machine Learning Jobs in the North West

systems — and fluent in all things Databricks ? We’re hiring an AI Engineer to lead the development of next-gen solutions using generative AI , ML , and Databricks-native tools . This is a fantastic opportunity for a skilled engineer who wants to build real-world applications with Databricks at the … heart of it all . This role is ideal for someone who enjoys blending technical precision with innovation. You’ll: Build and manage ML pipelines in Databricks using MLflow, Delta Lake, Spark, and Mosaic AI. Train and deploy generative models (LLMs, GANs, VAEs) for NLP, content generation, and synthetic data. … using Databricks-native tools . Collaborate with cross-functional teams and clients to deliver real-world AI applications. Required: 4+ years in AI/ML engineering with hands-on Databricks experience . Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn. Cloud experience ( Azure preferred, or AWS/ More ❯

Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We are growing our team of engineers to … core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome ;) Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

role. Additionally, you will be responsible for automating ETL workflows that feed into machine learning features, enhancing the efficiency and accuracy of ML models. Responsibilities: Develop and maintain SQL models and macros using DBT Collaborate with stakeholders to gather and refine modelling requirements Debug and enhance existing data … models Design and implement ETL/ELT workflows and data pipelines using Azure Data Factory Automate ETL workflows to support machine learning features Apply best practices for data governance, quality, and performance Utilise Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of More ❯

per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team … and challenges, who can work across teams do great things here at Starling, to continue changing banking for good. Responsibilities: Build, test and deploy machine learning models which will improve and/or automate decision making. You will be part of a team delivering data driven solutions and … a professional Data Scientist Python, which makes up the majority of our Data Science stack. Proven experience in data science, with a focus on machine learning model development/Large Language Model (LLM) application development. Experience deploying Generative AI applications to production in GCP (VertexAI) or AWS (Bedrock More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and stakeholder management skills. Desirable: Experience working with large-scale retail datasets (e.g., POS, CRM More ❯

having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled … secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft More ❯

analytics, and engineering teams to transform insights into impactful, data-driven strategies. DATA SCIENTIST - ESSENTIAL SKILLS Strong understanding of core data science methodologies, including machine learning algorithms and statistical analysis Proficient in developing end-to-end machine learning workflows using Python Passionate about collaborating with non More ❯

with most of their work coming from cliental within the Water and Oil & Gas industry. The responsibilities of this role include: Implement data and machine learning based methods for training and validating results. Apply signal processing techniques in accordance with improving algorithm performance Research old and new techniques … for for signal processing and machine learning algorithms to identify training and deployment techniques. This position would suit someone who has experience working with large data … sets with a mathematical and analytical mindset, they are looking for senior engineers to join the team working with AWS SageMaker for AI and ML as well as research and cleansing of data sets. More ❯

you will lead strategic data initiatives aimed at optimising customer engagement, pricing, and inventory management across our retail operations. Key Responsibilities: Develop and deploy machine learning models to support business objectives (e.g., customer segmentation, demand forecasting, price optimisation). Conduct deep-dive analyses on customer behaviour, sales trends … SQL, and data visualisation tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communic... More ❯

leader to craft Agoda's global Pricing strategy and execute upon it, using a wide range of tactics and tools, from price display to machine learning algorithms. He or she will closely coordinate with Agoda's senior management, marketing and product teams, while managing and expanding a team … python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all More ❯

of heating/cooling assets into energy flexibility markets What you'll need: Experience in a relevant field like energy management, controls design, or machine learning applied to energy or complex optimisation systems A strong grasp of data science tools and platforms (SQL, Python, etc.) Solid understanding of … machine learning algorithms and experience creating stochastic models Knowledge of UK and/or European energy markets, particularly energy flexibility Experience building predictive models using a range of data sources (internal and external) Familiarity with how heating systems behave and are controlled - especially air-to-water heat pumps More ❯

insights and recommendations to both internal teams and client stakeholders. Preferred Requirements: BSc or MSc in a relevant subject such as STEM, Data Science, Machine Learning etc + 2/3 years commercial experience. Strong proficient experience in Python for data analysis, modelling, and deployment. Advanced skills in … SQL for data manipulation and querying. Strong understanding of machine learning, statistics, and time-series forecasting techniques. Proven ability to communicate complex findings to both technical and non-technical audiences. Familiarity with MLOps principles including deployment, version control, and monitoring would be a great plus. A strong interest More ❯

to continue our global expansion. You will be responsible for:- Building robust and scalable pipelines to extract, transform and load data for analytics and machine learning workflows. Ensuring data quality, integrity and accessibility through automated quality checks and validation processes. Translating complex business logic and strategies into actionable … data science solutions. Utilising a range of statistical methods and machine learning algorithms to develop predictive models and forecasting solutions. Deploying, monitoring and maintaining models in production using best practices in MLOps. Using Power BI or Python based visualisations to translate analysis into clear, actional business insights. If More ❯

the charge. The goal is to use the latest tech to boost data capabilities and bring innovation to pricing systems with Data Science and Machine Learning. We would like a Senior Data Engineer to help navigate this data migration and shape the future of its data platform. This is … to Azure. Design and implement data architecture and pipelines that are scalable and efficient. Collaborate with cross-functional teams to integrate Data Science and Machine Learning models into our pricing system. Establish best practices and governance for data management and ensure compliance with industry standards. Contribute to the … cloud platforms like Azure. Proven experience with ADF (DataFactory) & Databtricks Strong expertise in SQL, Cosmos DB, and cloud technologies. Experience with Data Science and Machine Learning integration. Ability to design and implement scalable data architectures. Strong BI & ETL skills More ❯

Job ID: Amazon Europe Core Sarl We are looking for a talented and experienced attorney to help support some of our most cutting-edge machine learning and artificial intelligence initiatives, as we continue to bring delightful new products and services to our customers around the world. You will … teams and business leaders and other internal stakeholders on a broad range of public policy, regulatory, compliance and copyright issues involving artificial intelligence and machine learning like the EU AI Act, national AI legislation, international AI treaties and AI copyright legislative initiatives. You will partner closely with legal More ❯

AI/ML Software Engineer– Start-Up 📍 Location: [Manchester - Hybrid 3 days in office/Home working 💷 Salary: £50,000 - £70,000 base (dependent on experience and expertise) We’re looking for an AI/ML Software Engineer with commercial experience and exposure to AI and Machine learning … robust software systems while exploring the exciting intersection of software engineering and intelligent technologies. If you’ve worked alongside data science teams, contributed to ML pipelines, or are keen to grow your skills in AI, we’d love to hear from you. Our client is an AI-driven company at … understand how people behave, move, and interact with technology to enhance security, identity verification, and user experience. They are looking for an AI/ML Software Engineer (ideally Full Stack or Back End) to join the growing team and help bring these intelligent systems to life. You’ll be key More ❯

resilient and explainable. About You: Experience in operational resilience, risk management, or business continuity in financial services or regulated environments. Knowledge of AI/ML technologies, model governance, responsible AI principles. Understanding of machine learning models, NLP, AI algorithms, and model lifecycle. Ability to assess and mitigate AI … Familiarity with resilience frameworks and regulations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience with AI/ML platforms and monitoring tools (e.g., MLflow, Azure ML, SageMaker, Python). Excellent stakeholder management and communication skills. Desirable Skills: Technical background in AI/ML More ❯

the Founder, you will take full ownership of the Data Science solutions offering, with a strong focus on LLMs and cutting-edge AI/ML solutions . What You’ll Be Doing Engaging directly with clients across a diverse portfolio, delivering high-impact Data Science solutions from day one. Taking … a hands-on approach to designing, developing, and deploying ML/AI models. Supporting business development by identifying ML/AI opportunities with clients and participating in prospecting calls. Leading discovery phases, facilitating workshops, gathering requirements, and delivering strategy documents. Overseeing the full end-to-end lifecycle of AI/… ML model development, from concept to deployment and adoption. Training and handing over solutions to client stakeholders for seamless integration. Managing and mentoring one direct report, with plans for team growth in the future. Driving further analytical projects and securing additional work during project delivery. Projects You Could Work On More ❯

As a Data Ops Engineer, you will be responsible for enhancing the efficiency and reliability of our data management processes, supporting our advanced analytics, machine learning, and AI initiatives. You will harness your engineering skills to develop and automate data pipelines, ensuring data is seamlessly integrated, processed, and More ❯

optional: Knowledge of Python Experience using Agile/Change methodologies What's involved: Find opportunities for, scope out and develop data services, including deep learning, predictive analytics and machine learning, that help to solve business problems Manage a team of Data Scientists, reviewing outputs, planning delivery timelines More ❯

Develop and maintain robust data pipelines to support analytics and machine learning initiatives. Build and deploy predictive models using statistical methods and ML algorithms. Ensure high data quality through validation, monitoring, and automated checks. Translate business needs into clear analytical approaches and solutions. Communicate results and insights via More ❯

Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives. Collaborate with data scientists and process engineers to integrate machine learning models into production environments. Ensure the performance, scalability, and cost-efficiency of data warehousing and lakehouse solutions. Assess and implement emerging AI/ML technologies to improve data processing capabilities. Engage with business stakeholders to understand data needs and translate them in-to technical solutions. Ensure compliance with industry … values digital and AI-driven solutions, who see technology as an enabler rather than a challenge. At Victrex, we foster a culture of continuous learning, agility, and adaptability, where employees are encouraged to embrace new ways of working, leverage data-driven insights, and drive meaningful change. As we continue More ❯

Develop and optimise ETL/ELT processes to support data analytics and AI-driven initiatives. Collaborate with data scientists and process engineers to integrate machine learning models into production environments. Ensure the performance, scalability, and cost-efficiency of data warehousing and lakehouse solutions. Assess and implement emerging AI/ML technologies to improve data processing capabilities. Engage with business stakeholders to understand data needs and translate them in-to technical solutions. Ensure compliance with industry … values digital and AI-driven solutions, who see technology as an enabler rather than a challenge. At Victrex, we foster a culture of continuous learning, agility, and adaptability, where employees are encouraged to embrace new ways of working, leverage data-driven insights, and drive meaningful change. As we continue More ❯

stack engineer looking to shape the future of AI-driven data solutions? This is an early-stage SaaS AI startup, combining traditional Data Science, Machine Learning, and Generative AI to tackle complex data challenges for businesses of all sizes. With early product-market fit and pre-seed secured More ❯