101 to 125 of 753 Machine Learning Jobs in the North of England

computer science or related field. Experience with Google Cloud Platform/Data Stack, including BigQuery, Cloud Functions, Pub/Sub, IAM Management, Looker Data Studio. Familiarity with statistical/machine learning/AI concepts. Understanding of data pipeline/orchestration tools like dbt, dataform. Appreciation of GCP’s serverless technologies such as Cloud Run/Workflows. Understanding of More ❯

knowledge of designing and implementing software solutions capable of handling sensitive data (e.g., Personally Identifiable Information or payment information). Experience implementing software solutions that operationalise data science and Machine Learning components Personal Qualities A hands-on problem-solver who leads by example, demonstrating commitment to software quality. A clear communicator, calm, can-do, resilient, and comfortable being More ❯

start-up focusses on healthcare AI and are looking for a Data Engineer to join their team. You will be joining a team of 45 people, including Data Scientists, ML Engineers and 2 Data Engineers. Monitor, optimise and rebuild ETL/Delta Lake workflows in Databricks. Migrate legacy ingestion jobs to modern, cloud‐native patterns (Azure preferred, some AWS/… . Collaborate with scientists to understand study goals—e.g., young‐mental‐health surveys—and shape the data architecture behind them. Own slices of the backend and grow toward analytics, ML or architecture as you choose. About you 2‐3 years’ experience (or outstanding grad projects) in data engineering Solid Python or R plus SQL; comfortable with Spark/Databricks. STEM More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

data-led. Initially, the role will focus on transforming the existing data warehouse into a GCP based analytics platform, integrating system and client APIs, and preparing for AI/ML adoption. Key Responsibilities Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with data scientists and analysts to optimise data usage. Monitor, troubleshoot, and optimise data infrastructure for More ❯

with asynchronous programming (e.g., asyncio, Celery). * Exposure to message brokers like RabbitMQ, Kafka. * Understanding of GraphQL, gRPC, or WebSockets. * Previous experience in architecting data-intensive or AI/ML-based systems. * Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

with asynchronous programming (e.g., asyncio, Celery). Exposure to message brokers like RabbitMQ, Kafka. Understanding of GraphQL, gRPC, or WebSockets. Previous experience in architecting data-intensive or AI/ML-based systems. Certifications in cloud technologies or architecture (AWS/Azure Architect, TOGAF, etc.). This is an excellent opportunity on a great project of work, If you are looking More ❯

generally applicable AI solutions and owns the full stack, from research to production. You'll work in a tight-knit, cross-functional group that includes engineers, product managers, researchers, ML Ops and analytics. You'll collaborate across domain teams and work side-by-side with other native developers in an agile environment. Partnering with product, design, and analytics, you'll More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs—with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs—with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving competitive landscape, using AI/ML to deliver measurable business value & growth. Understand and maintain a RADAR of technologies, in order to understand the risk and reward profile of selecting a technology to capitalise on an … a background in computer science, machine learning, data science or a related STEM field (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced RAG (retrieval-augmented generation) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs-with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Highly proficient in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimise performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This a career-defining opportunity working within More ❯

AI, NLP, and more to fuel scalable business growth and operational excellence. Role Scope Lead the identification of opportunities and risks in a fast-evolving landscape, using AI/ML to deliver measurable business value and growth. Maintain awareness of emerging technologies to assess their potential risks and rewards. Own the lifecycle of AI initiatives—from vision to design, delivery … with a background in computer science, machine learning, data science, or related STEM fields (degree or equivalent experience). Hands-on experience developing and deploying production-grade ML models, including advanced Retrieval-Augmented Generation (RAG) systems. Deep expertise in Generative AI, LLMs, NLP, and Knowledge Graphs, with a track record of translating complex models into real-world business … solutions. Strong engineering fundamentals, including DevOps, CI/CD, and secure ML/AI pipelines (DevSecOps). Proficiency in Python, SQL, and key AI/ML frameworks (e.g., PyTorch, TensorFlow). Ability to mitigate model hallucination, optimize performance, and lead governance around AI risk and ethical deployment. Ready to Transform the Future? This is a career-defining opportunity within an More ❯

UKcaravans4hire and Bachcare in New Zealand. We unite under four core company values that serve as the foundation of everything we do: Being One Team, Owning It, Communicating Honestly. Learning, Growing, and Innovating. These values ensure we remain true to our original ethos and ensure we stay true to our Customers, Owners and Colleagues alike. About the Principal Data … initiatives, with clear business impact and measurable outcomes Demonstrate system-level thinking, considering architectural choices, data dependencies and integration across the wider data platform Develop and maintain production-grade ML systems including retraining strategies, model lifecycle management, monitoring and alerting Act as a trusted technical authority, reviewing and challenging project design, methodology, and outputs Drive adoption of CI/CD … across projects or domains Expertise in model validation, explainability, governance and ethical AI principles Advanced proficiency in Python (e.g. Scikit-learn, TensorFlow/PyTorch) and SQL, plus familiarity with ML engineering and MLOps practices Nice to have: Experience in setting or influencing data science strategy in a growing organisation Familiarity with AWS SageMaker and modern cloud-based ML workflows History More ❯

years The Azure Data Scientist Associate certification verifies abilities in implementing and operating machine learning solutions on Azure technologies. The exam is designed to check proficiency in ML, NLP and computer vision. It also shows how Azure's vast toolbox and services may lead to the development of scalable and successful machine learning systems. One should … SAS Certified Data Scientist The SAS Certified Data Scientist certification shows that the candidate is able to use SAS for data analysis. In order to progress to the AI & Machine Learning Professional or Advanced Analytics certification, one has to clear the Advanced Programming and Data Curation Professional exams. This test measures the understanding and expertise of the candidate … be well versed in big data technologies. Cost: $400 Validity: 2 years DASCA Senior Data Scientist (SDS) The Senior Data Scientist certificate recognizes individuals who show proficiency in modeling machine learning and data science. The Senior Data Scientist certification comes with criteria that candidates need to fulfill to obtain the certification. A master's degree in a related More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you … AI and Emerging Technologies team identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development of AI tools and solutions … wider team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you … AI and Emerging Technologies team identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development of AI tools and solutions … wider team collaborating with business stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. Model validation and model testing More ❯

weeks ago Be among the first 25 applicants About Ripjar Ripjar is a UK based software company that uses data and machine learning technologies to help companies and governments prevent financial crimes and terrorism. For example, our software was helping many financial institutions and corporations comply with the recent addition of sanctions on Russian entities. About Ripjar Ripjar … Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 1 week ago Manchester, England, United Kingdom 2 days ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Manchester, England, United Kingdom 3 months ago Manchester, England, United Kingdom 1 day ago Manchester, England, United Kingdom 2 months ago Manchester, England, United Kingdom 1 month ago Greater … England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 1 month ago Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Manchester, England, United Kingdom 1 month ago Manchester, England, United Kingdom 2 months ago Graduate Software Engineer, Open Source and Linux, Canonical Ubuntu Manchester, England, United Kingdom 2 months 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 ❯

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 ❯

challenges and are passionate about working with the latest advancements in Neural Networks and Machine Learning technologies. Key Responsibilities: Design and implement software systems for AI/ML operations and functionality. Develop and maintain CI/CD pipelines to ensure smooth deployment and integration of applications. Create software proof-of-concept projects for customers to demonstrate potential solutions. … components in C/C++. Implement DevOps practices to streamline deployment and improve system reliability. Qualifications: An AI-positive mindset with a desire to apply and build upon your learning with an existing product. BS/MS in Computer Science, a related STEM field, or equivalent experience in Physics and Mathematics. … years of Software Development Experience. Strong proficiency in Python, with hands-on experience in asynchronous programming (Python asyncio). 2 plus years of experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Keras). Strong problem-solving skills and the ability to work collaboratively in a team environment. Preferred: Experience with embedded systems and IoT technologies. Some experience with C More ❯

and AI strategy under the direction of the Information Management Lead Leading the design and implementation of data governance, quality, and lifecycle management practices Identifying and delivering AI and machine learning use cases that drive operational efficiency, safety, and innovation Collaborating with technical and business teams to ensure data is accessible, secure, and fit for purpose Establishing data … engineering, or a related field Demonstrable experience in leading data science and AI initiatives within complex, regulated environments Strong understanding of data governance frameworks, data architecture, and AI/ML lifecycle management Experience with cloud platforms (e.g. Azure, AWS), data engineering tools (e.g. Databricks, Snowflake, Foundry), and analytics platforms (e.g. Power BI, Tableau) Knowledge of relevant legislation and standards, including … with a focus on outcomes and continuous improvement Qualifications Bachelor’s degree in Data Science, Computer Science, Engineering, or a related discipline Professional certification in data management, AI/ML, or cloud architecture (e.g. CDMP, Azure AI Engineer, AWS Certified Data Analytics) is highly desirable Membership of a relevant professional body (e.g. BCS, IEEE, DAMA, IET) is preferred More ❯

Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent investors from the US and … the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied … stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. Nice to have: Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more More ❯