26 to 50 of 511 Machine Learning Jobs in the North of England

the power of data to build predictive models, extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical More ❯

and support impactful decision-making for their fundraising and outreach initiatives. As a Senior Data Scientist, you will apply your expertise in statistical methods, machine learning, and predictive modeling to uncover valuable insights from data. You’ll collaborate with cross-functional teams to support strategy, enhance donor engagement … and optimize campaigns. With your experience in R/Python, machine learning algorithms, and data visualisation, you will play a key role in shaping the future of the charity's data-driven approach. This is an exciting opportunity to be part of an organisation committed to creating positive … cloud-based technologies. The charity is focused on transforming their data practices to create more impactful and evidence-driven strategies. Key Skills: Statistical Methods & ML: Experience with supervised and unsupervised machine learning to uncover insights and support decision-making. Predictive Modeling: Skilled in building models based on customer More ❯

roles. Partner closely with C-Suite management to present project/product results Help drive end to end data science and implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to … pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a More ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. You'll enjoy More ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. So you'll More ❯

a high-growth, innovation-led software company delivers full-stack development solutions across a wide range of sectors, with a strong focus on AI, machine learning, and image recognition technologies. Known for outperforming larger competitors, the company is agile, fast-moving, and highly adaptable to client needs. The … including daily stand-ups and sprints Conducting code reviews and mentoring junior developers Staying up to date with emerging tech, especially in AI and machine learning Candidate Requirements: Proven experience with Microsoft .NET Core, Web API, C#, and C++ Hands-on knowledge of Azure DevOps, Kubernetes, and Microsoft … SQL Server Strong full-stack development skills (front-end and back-end) A keen interest in or prior experience with AI, machine learning, and recognition technologies Excellent problem-solving, communication, and collaboration skills Ability to work independently and manage time effectively Confident communicator What the Company Offers: Hybrid More ❯

value, and together, we're scaling that impact even further. Your mission To partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real-world commercial challenges. You'll play a key role in transforming how customers operate by … to on-site customer teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights … business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications. Strong programming skills or the ability to quickly learn new technologies, with experience More ❯

ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and pricing models using statistical and machine learning methods Translate complex data into actionable insights for commercial stakeholders Work closely with operational teams to embed models and monitor performance Drive … innovation by supporting the team’s growth in advanced analytics and machine learning techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python … Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning methods and practical applications Package Overview £40,000 base salary Annual performance bonus Pension scheme Private healthcare Register your interest by sending your CV to Daniel Abbasi via the apply link on this page. More ❯

Location: Remote (UK-based candidates only) Rate: £400/day Contract Type: Outside IR35 An exciting opportunity for a Machine Learning Engineer to work on a cutting-edge healthcare AI project. You’ll focus on building and optimising models using LLMs , NLP , and biomedical data to transform clinical … research. Key Skills: Machine Learning, LLMs, NLP Python, PyTorch, TensorFlow Healthcare or clinical data experience (preferred) Interested? Contact me directly at bart.townley@exploreltd.com or send me a message. More ❯

of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning techniques in a structured, data-driven environment. THE COMPANY A nationally recognised organisation with a reputation for using data to drive smarter … business decisions. THE ROLE As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to: Building predictive models using machine learning methods to improve forecasting and performance across key areas Presenting findings and translating complex analysis into actionable insights for senior stakeholders Identifying … best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and clustering Proficient in Python Educated to at least university level with a STEM degree THE BENEFITS More ❯

KEY RESPONSIBILITIES: In this role, you will be responsible for: Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI. Performing feature engineering and selection to optimize model performance. Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Training … optimizing models using machine learning and statistical techniques. Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Deploying models to production environments, ensuring robustness and scalability. Monitoring model performance and defining strategies for identifying drift; retraining or refining models as needed. … Collaborating with cross-functional teams to integrate AI/ML models with business applications and systems. Staying updated on the latest advancements in AI/ML technologies. Leading and mentoring junior team members. Developing and maintaining comprehensive documentation for AI/ML pipelines and workflows. Key Performance Indicators (KPIs) for More ❯

AI/ML Developer: We are seeking a talented and highly motivated AI/ML Developer with strong programming skills in Python or other relevant languages to join our dynamic team. You will need to have the skill set and ability to design, develop, and deploy cutting-edge artificial intelligence … GCP) and Cloud AI solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. … Integrate AI/ML models with existing applications and systems. Stay up-to-date with the latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine More ❯

Applied Scientist - ML Models Fraud & Financial Crime Applied Scientist - ML Models Fraud & Financial Crime Apply locations Leeds Wellington Place time type Full time posted on Posted 13 Days Ago time left to apply End Date: May 9, 2025 (15 days left to apply) job requisition id 113788 End Date: Thursday … working - click here for more information on flexible working options Flexible Working Options: Hybrid Working, Job Share Job Description Summary: JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Leeds office. … our journey and you will too How you'll make a difference As an Applied Scientist, you will: Use your skill set to build machine learned models to detect and prevent fraud and financial crime. Lead small teams in the development and maintenance of data science products that serve … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics/Data Science – Early Equity Opportunity Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling … this is the ideal time to get in early and make a defining impact. We’re seeking a Data Scientist/Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Data Scientist - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle More ❯

visa) 📍 Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity Our client uses behavioural biometric interactions and advanced AI to create unique digital user identities, enabling … on the horizon, this is the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and … the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in … tools like Terraform, Docker, Kubernetes, and Python Contribute to agile ceremonies (sprint planning, retrospectives, code reviews) Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based More ❯

Postdoctoral Research Associate in Machine Learning - Durham The RoleThe successful applicant will be responsible for the design, development, and implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene … with our European partners is anticipated, and the successful candidate will be encouraged to adopt a creative approach to problem-solving, exploring various deep learning techniques. Verification of these models and algorithms will be conducted using benchmark datasets and real-world tests in diverse aquatic environments, necessitating a willingness More ❯

AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two vital missions: bringing impactful machine learning capabilities into our products, and learning from real user behaviour to make them even better. As a Data Scientist, you'll … team and build a world-class AI capability at Matillion. What we are looking for Deep AI Knowledge : MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI … technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of More ❯

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 ❯

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 ❯

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 ❯