1 to 25 of 982 Machine Learning Jobs in the North of England

advantage. Design, implement, and maintain software components that incorporate machine learning algorithms and data processing. Develop clean, efficient Python code for both backend logic and integration of ML models. Understand the business drivers behind each feature. Create and optimise data pipelines to collect, preprocess, and transform data for machine learning and analytics. Work with large datasets … proper test coverage and meet quality standards before deployment. Collaborate with DevOps engineers to set up and maintain CI/CD pipelines for building, testing, and deploying applications and ML models. Containerise applications (Docker) and assist in orchestration (Kubernetes or cloud services) to ensure smooth deployment of scalable solutions. Work closely with data scientists to deploy machine learning … or PyTorch for model serving) and implement monitoring to track model performance, accuracy, and reliability post-deployment. Keep up-to-date with the latest developments in Python, AI/ML technologies, and software engineering best practices. Proactively suggest improvements to systems and processes, and contribute to architectural decisions that enhance the capabilities or performance of our AI solutions. Provide technical More ❯

vision is to enable better visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI/ML to take … are looking for someone who has focused on hands-on coding rather than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this … is an opportunity to shape the future of the product and how they use data to solve real-world challenges. What You'll Be Doing: AI/ML Project Ownership Lead the delivery of machine learning initiatives from exploration through to deployment and monitoring. Own the full development cycle for ML systems — including architecture, data pipelines, model training More ❯

Software Engineer to support rapid-response research and development (R&D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings, collaborating … solutions under tight timelines. The role demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to address emerging intelligence issues, ensuring alignment … to enhance performance in resource-constrained or time-sensitive environments. Document technical designs, algorithm specifications, and software processes to support mission continuity and compliance. Stay current with advancements in machine learning, SIGINT, and GEOINT technologies to inform R&D efforts. Basic Qualifications Bachelor’s degree with 8+ years related experience or Master’s degree and 6+ years related More ❯

with the Technical Agent for Data Strategy to implement the Data Analytics/AI and Technology strategy for the Agency Network. Lead advanced research and experimentation in AI, including Machine Learning and Generative AI, and statistical modelling Develop and implement complex data science solutions, ensuring they deliver measurable business improvements. This will include the development of AI solutions … criteria Experience and knowledge of Cloudera Data Platform. Change management experience. An appreciation of the Bank's approach to monetary and/or financial policy, with an interest in learning more about how Agency intelligence and data informs this This is a people management role. You will be responsible for day to day management of the team and for More ❯

of one of the major public cloud providers (AWS, Azure or GCP). Benefits Competitive salary Private healthcare scheme Company pension Death in Service - 4x annual salary 10 paid learning days per year Regular opportunities for industry recognised training and certifications Opportunities to develop within a fast growing-tech business with ambitious growth and impact goals Generous annual leave … Kingdom 1 week ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 3 days ago Manchester, England, United Kingdom 2 weeks ago Senior Data Engineer (with ML knowledge) Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 2 weeks ago Manchester, England, United Kingdom 2 months ago Greater Manchester, England, United Kingdom 3 hours ago More ❯

s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapter's team objectives: Implement AI … ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Work closely with or as part of product squads to … build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage More ❯

warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the BBC's future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is … building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the BBC to build, collaborate on, manage, and maintain their machine learning platforms at scale. You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. … workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) – SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in More ❯

within Azure, ensuring efficiency, cost-effectiveness, and scalability, leveraging Azure Synapse Analytics, ADLS Gen2, and Databricks Workflows Data Modelling & Architecture – Implement robust data models to support analytics, reporting, and machine learning, using Delta Lake and Azure Synapse. Automation & Observability – Use Databricks Workflows, dbt, and Azure Monitor to manage transformations, monitor query execution, and implement data reliability checks. Data … preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store for ML training and inference. Experience with data modelling techniques to support analytics and reporting. Familiarity with real-time data processing and API integrations (e.g., Kafka, Spark Streaming). Proficiency in CI … using Azure DevOps, GitHub Actions, or Terraform for Infrastructure as Code (IaC). Understanding of MLOps principles, including continuous integration (CI), continuous delivery (CD), and continuous training (CT) for machine learning models. Experience with performance tuning and query optimisation for efficient data workflows. Strong understanding of query optimisation techniques in Databricks (caching, partitioning, indexing, and auto-scaling clusters More ❯

renowned brands including William Hill, 888, and Mr Green and we're looking for an experienced (Leeds or London based) Data Scientist to be responsible for developing AI/ML methods, processes and systems to extract knowledge or insights to drive the future of artificial intelligence. What you will be doing: Applying and/or developing statistical modelling techniques (such … as deep neural networks, Bayesian models, Generative AI, Forecasting), optimization methods and other ML techniques Converting data into practical insights Analysing and investigating data quality for identified data and communicate it to Product Owner, Business Analyst, and other relevant stakeholders Collecting Data, exploring it, and performing analysis to extract information suitable to the business need. You will identify gaps in … sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with exposure to Generative AI and Large Language Models. A genuine curiosity about new and applied technology and software engineering coupled with More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight A first or second-class honours degree in a numerate discipline, computer science or … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

opportunity to help provide crucial information and insight to support the management of high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including … strategic and operational decision making use data ethically and appropriately be innovative and adaptable explore existing and new data using a range of statistical tools and techniques, such as machine learning and predictive analytics find patterns in data and transform them into organisational insight Essential Criteria A first or second-class honours degree in a numerate discipline, computer … supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness for analysis and guiding best practice across the team. Ability to apply machine learning techniques, critically assessing model performance, limitations and ethical considerations whilst supporting the development of best practice across the team. Previous experience of leading a team of data More ❯

support our platform’s growth. About The Team: You’ll join a small, tight-knit engineering team within our Data & AI (Collaboraite) business unit. The team comprises Software Engineers, Machine Learning Engineers, and Frontend Developers, all working together on a collaborative working platform with analytics job processing capabilities. This platform enables users to ingest, relate, analyse, and search … part of the onboarding process Flexible Working : We offer both hybrid and remote working models. Private Medical Inclusive Culture : Enjoy an inclusive culture and environment. Holiday : Generous holiday allowance. Learning : Access to continuous learning and development opportunities. Bonus Potential : Bonus potential based on performance and business-related factors. Discounts : Discounts on a wide range of products and services. More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

span the entire asset lifecycle; strategy, planning, design, build, operate and disposal. Digital Intelligence has embraced a platform approach, that converges our product capabilities and opening new possibilities using machine learning and artificial intelligence. This approach encompasses a multitude of vendors (Microsoft, AWS, ESRI, Snowflake, IBM and Apache Software Foundation) and services (Azure, Microsoft Fabric, Apache Airflow, dbt More ❯

AI Implementation Chapter is seeking a dynamic Lead Machine Learning Engineer with 6+ years of experience, including leadership and people management. This role involves designing AI/ML solutions and ensuring implementation of AI initiatives across the Fitch Ratings organization. You will manage a team of 2-3 engineers, blending hands-on technical work with leadership responsibilities, while … with product squads, business partners, and cross-functional teams to integrate advanced AI solutions into flagship Fitch Ratings products and workflows. The AI Chapter's team objectives: Implement AI & ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment … of AI Establish and maintain guidelines and processes for AI/ML governance How You'll Make an Impact: Lead and manage a team of 2-3 machine learning engineers, balancing direct leadership with technical contributions to projects Oversee the design, development, and deployment of scalable AI/ML solutions, focusing on advanced generative AI frameworks, large language More ❯

s AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position could be based out of our Chicago, London, or Manchester offices. The AI Chapter’s team objectives: Implement AI … ML technology in collaboration with Fitch Ratings business partners and product squads Develop and support enterprise-level AI exploration tools and capabilities Provide guidance for efficient and secure development and deployment of AI Establish and maintain guidelines and processes for AI/ML governance How You’ll Make an Impact: Work closely with or as part of product squads to … build, integrate, and deploy AI and ML solutions, sharing best practices and learnings with other squad members. Effectively communicate data science & ML concepts to stakeholders, focusing on applicability to Fitch use cases Collaborate in developing and deploying ML & Gen AI solutions to meet enterprise goals and support innovation and experimentation. Collaborate with data scientists to identify innovative solutions that leverage 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. Additionally, you will play a key role in mentoring and developing junior data engineers. Key Responsibilities: Automate and maintain data pipelines within … 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 ❯

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 ❯

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 ❯

AI Engineer to join our Data and AI team . This role is ideal for someone who has a strong track record of designing, developing, and deploying AI/ML solutions in a business context—from ideation through to production. You will play a pivotal role in shaping and implementing advanced AI-driven insights and personalization strategies that optimize client … engagement and campaign performance across digital, CRM, and relationship management channels for our Financial Services client. Key Responsibilities End-to-End AI Solution Delivery: Lead AI/ML initiatives from conceptual design to production deployment, including problem scoping, data acquisition, model development, validation, deployment, and monitoring. AI-Driven Marketing Insights: Develop predictive and generative models to support audience segmentation, personalization … Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research: Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean More ❯

goals Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems and dynamic pricing solutions Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps and operational scalability Establish and oversee AI governance frameworks to ensure compliance with regulatory standards, ethical practices and measurable business value Leverage Gen … the CPGR sector. Experience in IT consulting is highly desirable Expertise in Gen AI, including Large Language Models (LLMs) and RAG-based solution approaches Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools Deep understanding of CPGR … Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more If otherwise eligible, participation in the More ❯

and present end-to-end diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can own the cloud infrastructure underpinning … working with a team of 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 Working with data scientists to productionise advanced data deliverables, such … as machine learning models Job Benefits Life at Made Tech We’re committed to building a happy, inclusive and diverse workforce. You can get a sense of what it’s like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like More ❯