1 to 25 of 153 Machine Learning Jobs in the North of England

sustained improvements to products, prices and processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline by using robust test … improve company performance and our customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with the Senior Machine Learning Stakeholders, such as the Head of Machine Learning, Head of Data Science, and Head of … Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and More ❯

Halifax, AA, Saga and Lloyds Bank to list a few. As a Machine Learning Engineer, you will help build and maintain the pricing team's MLOps and ML Lifecycle environment to support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical modelling and pricing function. Key … processes. Work closely with the data science team to integrate modelling approaches and techniques Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and … results in a concise manner both verbally and written Previous industry experience in a STEM role or educated to the Master's level in a STEM or DS/ML/AI or maths-based discipline. Behaviours: Collaborative and team player Logical thinker with a professional and positive attitude Passion to innovate and improve processes Strong grasp of industry standards More ❯

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver real time, mission critical insights for clients around the world. … ll tackle some of the most complex challenges in real time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence … built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to More ❯

Postdocs and Research Fellows: Probabilistic machine learning, Centre for AI Fundamentals, Manchester, UK, DL July 27, 2025 Jul 14, 2025 I am hiring in my machine learning group in Manchester, UK, DL July 27, 2025 Funded by UKRI Turing AI World-Leading Researcher Fellowship, in the Manchester Centre for AI Fundamentals. We are particularly interested in … developing new machine learning for research, which involves AI4Science and for health, sequential decision making and experimental design under uncertainty, and collaborative AI. Machine learning keywords include Bayesian inference, distribution shifts, generative modelling, human-in-the-loop learning, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, computational rationality and user modelling, and … simulation-based inference. The positions come with excellent opportunities for collaboration with machine learning researchers in the ELLIS Unit Manchester and the rest of the ELLIS network, and with researchers in other fields for AI for Research. These are fixed-term positions for a year, but there will be opportunities for excellent researchers to continue in my team More ❯

be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. … AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability, and compliance of data pipelines and deployed ML solutions. Mentor … a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration More ❯

Senior Consultant - Data Science & Machine Learning Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites Salary: £60,000 - £90,000 per annum Security: SC required to start, must be willing to obtain DV Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to … people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring … colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth. What we're looking for Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or More ❯

Senior Consultant - Data Science & Machine Learning Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites Salary: £60,000 - £90,000 per annum Security: SC required to start, must be willing to obtain DV Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to … people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring … colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth. What we're looking for Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or More ❯

Senior Consultant - Data Science & Machine Learning Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites Salary: £60,000 - £90,000 per annum Security: SC required to start, must be willing to obtain DV Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to … people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring … colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth. What we're looking for Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or More ❯

Senior Consultant - Data Science & Machine Learning Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites Salary: £60,000 - £90,000 per annum Security: SC required to start, must be willing to obtain DV Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to … people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring … colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth. What we're looking for Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

Lead Data Engineer (Databricks) - Leeds (Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer, Python, PySpark, SQL, Big Data, Databricks, R, Machine Learning, AI, Agile, Scrum, TDD, BDD, CI/CD, SOLID principles, Github, Azure DevOps, Jenkins, Terraform, AWS CDK, AWS CloudFormation, Azure, Lead Data Engineer, Team Lead, Technical Lead, Senior Data Engineer, Data Engineer … for the team. You will be responsible for building a greenfield modern data platform using cutting-edge technologies, architecting big data solutions and developing complex enterprise data ETL and ML pipelines and projections. The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science (R, Machine Learning and AI). Database experience with SQL and No-SQL - Aurora, MS SQL Server, MySQL is expected, as well as significant Agile and Scrum exposure along with SOLID principles. Continuous Integration tools, Infrastructure as code and strong Cloud Platform knowledge, ideally with AWS is also key. We are keen to hear from talented Lead Data Engineer candidates More ❯

with a market-leading business 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 problems and perform data analysis … experts by implementing new capabilities 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 enjoy the comprehensive rewards package you'd expect from a leading technology company. But More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the … finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such … as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details. Head of Data Science More ❯

team sits in the heart of it. The team's primary responsibility is to pioneer the approaches of military robotics and autonomous systems and their machine learning (ML) components. The team is involved in the full life cycle of the project. They work closely with other leading military robotics companies and customers all over the world. To support … in relevant industry that will complement and enhance RAS development Experience with Linux and developing real-time software in C/C++ or Python is essential. Experience of robotics, machine control systems and automation is desirable. A basic understanding of electronics and the ability to read electrical schematics is essential. Demonstrable knowledge and experience of current software engineering practices … for RAS. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations, to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate More ❯

managing small software teams and will be equally comfortable working with internal teams or external customers and partners . The successful candidate must have experience managing software projects involving Machine Learning or A.I technology . You can expect to be working as part of a world renowned, expert engineering team, with state-of-the-art subsea robots on … to scope and budget, or have relevant professional experience that demonstrates the ability to step-up to this level of responsibility. You will also have experience delivering software involving Machine Learning or A.I and will be able to discuss these technologies at a high level with non-technical audiences. Experience delivering defence-related software projects would be helpful … managing software development teams and have a proven track record of delivering software projects on time, on budget, and to specification. Demonstratable experience delivering and managing software projects involving Machine Learning or A.I components, with the ability to discuss these technologies to a non-technical audience. Experience developing, mentoring and managing engineering staff Excellent communication and interpersonal skills More ❯

and big data platforms worldwide, processing some 600B events every day and making some 5B predictions. As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning … partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory. In This Role, You'll Get to Design, code, experiment and implement models and algorithms … Research discover and harness new ideas that can make a difference. What You'll Need To Succeed 4+ years hands-on data science experience. Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks. Significant proficiency in SQL and languages like Python, PySpark and/or Scala. Can More ❯

Radbroke (Hybrid - 2 days/week in office) 6 Months + Umbrella Only - Inside IR35 About the Role We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud … technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data More ❯

Radbroke (Hybrid - 2 days/week in office) 6 Months + Umbrella Only - Inside IR35 About the Role We are seeking a highly skilled and experienced Senior AWS Data & ML Engineer to join our team in Radbroke. This hybrid role offers the opportunity to work on cutting-edge machine learning and data engineering projects, leveraging the latest cloud … technologies and MLOps practices. Required/Primary Skills: AWS Data Engineering ML Engineering ML-Ops ECS, Sagemaker Gitlab Jenkins CI/CD AI Lifecycle Experience in front-end development (HTML, Stream-lit, Flask Familiarity with model deployment and monitoring in cloud environments (AWS). Understanding of machine learning lifecycle and data pipelines. Proficiency with Python, Pyspark, Big-data More ❯

specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working Experience of testing and testing standards. Machine Learning About us We're one of the largest building societies in the UK and More ❯

Manchester, United Kingdom Posted on 10/01/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Job Summary The Azure Data Architecture Lead will provide architectural leadership in designing, implementing, and optimizing large-scale data solutions … and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and compliance with enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning to enable data-driven decision-making. Define and implement DevOps practices for Azure-based data pipelines, including automated deployments, monitoring, and operational excellence. Lead architectural reviews and … advanced proficiency in designing complex data integration solutions. Strong experience with Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning for large-scale analytics and AI/ML workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks in Azure environments. More ❯

Qualifications A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc/MSc/PhD). Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques. Experience with algorithm development, numerical methods, or physical simulation. Proficiency in at least one programming language commonly used for scientific computing and prototyping (e.g., Python, MATLAB … control tools (e.g., Git) and collaborative software development. Ability to clearly explain complex technical concepts, both verbally and in writing, to technical and non-technical audiences. Desirable Experience Developing machine learning models, especially in the context of reinforcement learning or computer vision. Robotics or autonomous systems (e.g., path-planning problems, use of ROS). Software development best … concise and professional manner and thrive in a team environment. You actively foster a positive, inclusive culture and willingly share your knowledge and support others. You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development. To apply please send a recent copy of your CV and a More ❯

BBC audiences, blending a breadth and depth of data science expertise. You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You'll bring experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production. You'll be … responsible for using your knowledge of different machine learning algorithms to solve complex problems effectively. You'll join the wider BBC Data Science community, with internal and external opportunities to get involved and share your knowledge. Skills and Experience Essential Criteria A strong understanding of data science and machine learning techniques, including best practices, recent advances … along with transferable strengths, we'd love to hear from you and encourage you to apply. You will be working in a supportive and collaborative team, with development and learning opportunities to support your professional growth. We value diversity and are committed to being truly inclusive and a place where everyone belongs. Before your start date, you may need More ❯

R&D team sits in the heart of it. The team's primary responsibility is to pioneer the approaches of military robotics and autonomous systems and theirmachine learning (ML) components. The team is involved in the full life cycle of the project. They work closely with other leading military robotics companies and customers all over the world. To support … in relevant industry that will complement and enhance RAS development Experience with Linux and developing real-time software in C/C++ or Python is essential. Experience of robotics, machine control systems and automation is desirable. A basic understanding of electronics and the ability to read electrical schematics is essential. Demonstrable knowledge and experience of current software engineering practices … for RAS. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations, to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate More ❯

data pipelines to ensure accurate, consistent and timely data across our analytical and reporting needs Work closely with Data Scientists, Analysts and business SMEs to automate and scale our machine learning and AI capabilities Support the development of our new cloud-based Data Platform, transforming systematic data into a business view for reporting and analytics Take ownership of … best practices Understanding of the development lifecycle and best practices Desire to build relationships with an ability to deliver solutions to meet customers needs Experience in deploying and maintaining machine learning models desirable Experienced in the use of BI tools such as PowerBI/Tableau desirable Understanding of the regulatory environment and the need for data to comply More ❯