1 to 25 of 248 Permanent Machine Learning Jobs in the North of England

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on … to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools … and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: Lead MLOps Engineer Location: Central Manchester Working style: Hybrid 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 … code tools. Fluency in our 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 and internal team communication. Knowledge More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

strategic decisions makers across the business. You will apply the appropriate solution to the problem at hand. This could be advanced statistical techniques (Hierarchical Bayesian modelling, GAMs), AI and machine learning techniques (LLMs, neural networks) or simple arithmetic. The key is to deliver useful and timely information for the benefit of Cox Automotive Europe and the broader automotive … to understand business needs and translate them into analytical solutions, ensuring high-quality deliverables. Analyze large datasets to extract actionable insights and inform strategic decisions. Develop and implement advanced machine learning models and algorithms. Communicate findings and recommendations to non-technical audiences through reports, presentations, and visualizations. Create, maintain, and optimize algorithms on various platforms. Prepare data for … Ann Fairbanks Executive PA & Business Support Ann Fairbanks Executive PA & Business Support "I wouldn't be where I am today without Cox Automotive. The company has real culture of learning, pushing the boundaries and making YOU better. It's all built on strong values that are more than just words, they're acted on every single day." Gemma Hepple More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description Netcompany is seeking a Senior Azure … Security Clearance Benefits include Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

5G, LTE, Fiber Optics) Network function virtualization (NFV) or software-defined networking (SDN) Real-time embedded systems experience in telecom Cybersecurity best practices knowledge in telecommunications networks AI/ML applications experience in network automation Microservices architecture and development experience Scrum master experience facilitating skilled development teams SDN/SD-WAN certifications (VCP preferred) or cloud/virtualization platform knowledge … on the role's requirements Generous company matched pension and share purchase programs Opportunity to give back to communities in which we work, live and serve Career growth and learning & development opportunitiestodevelop your skills And much more A bit about us We're a people-focused, customer-first, purpose-driven team who works together every day to innovate and More ❯

in working patterns and a company-wide culture to be proud of. Core skills were looking for to succeed in the role: A strong understanding of Microsoft Azure, (Azure ML, Azure Stream Analytics, Cognitive services, Event Hubs, Synapse, and Data Factory) Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, Tensorflow etc You … model development, with an emphasis on auditability, versioning, and data security. You'll implement automated data science model testing and validation. You'll assist in the optimisation of deployed ML model scoring code in production services. You'll assist in the design and implementation of data pipelines and engineering infrastructure to embed scaled machine learning solutions. You'll … the wider engineering community. You'll collaborate closely with data scientists, data engineers, architects, and the software development team. You'll liaise with stakeholders across the business to ensure ML is being used to improve strategic business decisions and identify new areas for improvements. You'll adhere to the Group Code of Conduct and Fitness and Propriety policies, Company Policies More ❯

sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Key Responsibilities: Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure). Source and verify data … large datasets using Python and SQL. Set up new pipelines for data streaming, enrichment, and curation. Manage and maintain source code repositories (GitHub). Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience More ❯

sets, and supporting the insights and data science teams. As part of this role, you will also develop your expertise in Artificial Intelligence (AI) and Machine Learning (ML), with access to advanced training in ML Ops. Key Responsibilities: Automate and maintain data pipelines within a cloud-based environment (AWS/GCP/Azure). Source and verify data … large datasets using Python and SQL. Set up new pipelines for data streaming, enrichment, and curation. Manage and maintain source code repositories (GitHub). Investigate and apply AI/ML solutions to enhance cloud capabilities. Key Skills & Experience: Strong proficiency in SQL and Python. Experience in cloud data solutions (AWS, GCP, or Azure). Experience in AI/ML. Experience More ❯

bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists … for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing. Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes. Essential Skills and Experience 2-5 years of experience … Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with Databricks Asset Bundles (DAB More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: MLOps Engineer Location: Central Manchester Working style: Hybrid 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 … code tools. Fluency in our 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 and internal team communication. Knowledge More ❯

integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior engineers and data scientists to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. Basic understanding of machine learning algorithms and model evaluation techniques. Strong analytical More ❯

shaping how they apply data, analytics, and innovation across the product development lifecycle A global network of multidisciplinary experts in AI, clinical development, regulatory strategy, and digital health Continuous learning and growth through Accenture's world-class training programs, mentorship, and access to cutting-edge tools and knowledge A collaborative, purpose-driven culture that encourages bold thinking, values diverse … leadership, and innovation initiatives within the R&D team and wider Life Sciences practice We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred) Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big … Data technologies e.g. pySpark, Hive, etc. Experienced working with structured and also unstructured data eg. Text, PDFs, jpgs, call recordings, video, etc. Knowledge of machine learning modelling techniques and how to fine-tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci More ❯

solutions. Your primary responsibility will be to harness the power of data to 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 renowned Decision Data leaders in … insurance Range of reductions and 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 … deliver projects on time, to high standards. Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities. Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to More ❯

skills, creativity, and the ability to work both independently and collaboratively. Bonus Points: Experience working with SaaS platforms and APIs. Familiarity with cloud security concepts and technologies. Familiarity with machine learning pipelines and MLOps practices Experience with infrastructure as code and DevOps practices Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both More ❯

improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. You'll support the definition of architecture for AI-enhanced service desk automation, including copilots, bots, and intelligent knowledge More ❯

roadmap for the Data Science Operations team, agreeing priorities with stakeholders and the Head of Data Science, enabling the team to deliver against agreed targets. Work closely with the Machine Learning Operations team to deliver products to end users, leveraging and contributing to established engineering standards and best practices. Work collaboratively with the Insight & Analytics and Data Engineering … teams to integrate model outputs into our data platform, ensuring their effective use in analysis and reporting. Identify and drive improvements in our product lifecycle and machine learning pipelines, enhancing efficiency and enabling the team to innovate rapidly. Explain the implications of models and model insights to business stakeholders and external customers in an easy-to-understand way. … Simulation, etc). Excellent team management skills to lead, motivate and grow a team who are geographically dispersed. Comfortable using a multi-platform stack to deliver products (Databricks, Azure ML Studio, Azure and Snowflake, SageMaker, AWS). Ability to take ownership of a broad product-set and drive forward the delivery of new products and product features. Strong ability to More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

and Data science programme to drive high impact data science outcomes. Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise data scientists on best tools … inclusion strategy. Skills and Experience Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced analytics and/or data … of data science tools, especially Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. If you are seeking a Data Science leadership role More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description This is an exciting opportunity within … Additional Information Benefits include: Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

the power of Data & AI to drive exceptional value. As Data & AI Engineer, you will directly influence client success and growth via key responsibilities, including: Designing, developing and deploying machine learning models Creating scalable AI solutions Developing and maintaining CI/CD pipelines Transforming data into actionable insights designed to drive business growth As Data & AI Engineer, you More ❯