576 to 600 of 2,091 Machine Learning Jobs in the UK excluding London

as part of a wider BI team within the organization Willingness to adapt to change Ability to work to deadlines Enjoys technical challenges and learning new skills Willingness to take part in overnight support rota Minimum Criteria You'll need all of these. Experience of building a data warehouse … in a cloud environment Desirable Proven Experience of Oracle ODI/OAS Experience in AWS (in particular terraform, lambda, step functions, S3) Understanding of machine learning or data science, including python. Experience working with customer or vehicle data. Who you'll be working with This role would be More ❯

with business use cases Contribute to and lead code reviews, automated testing, and DevOps CI/CD processes Advise on and implement AI/machine learning pipelines in Python where applicable Work with stakeholders across Technology, Operations, and Investment teams to gather requirements and deliver solutions Provide mentoring … paced, regulated environments Excellent communication and stakeholder management skills Nice to have: Experience with financial modelling and asset management tools Knowledge of AI/ML integrations in Python More ❯

driving MAG's mission to become a truly data-driven business. You'll play a key role in designing and deploying advanced AI and machine learning models that help optimise operations, increase efficiency, and deliver smarter insights to inform key decisions across the business. You'll tackle projects … in the role? You'll be a seasoned data scientist with experience working with large, complex data sets, as well as architecting and deploying ML models into production. You'll be fluent in Python - writing readable, testable, and maintainable code comes naturally to you. You'll be comfortable with cloud More ❯

review. Collaborate with senior technical leads to define approaches, track progress, and adapt strategies. Develop software solutions for orbit determination, flight dynamics, tracking, and machine learning applications. Establish robust strategies to ensure the reliability and accuracy of developed software. Prepare internal and external reports and technical papers. Support … and best practices. Proficiency with libraries such as OREKIT, Stone Soup, and Keras. Highly Desirable Skills: Experience in orbit determination, flight dynamics, tracking, or machine learning. Proficiency in Java or Python, with a willingness to expand expertise. Experience in algorithm development, particularly considering numerical accuracy. Understanding of software development More ❯

review. • Collaborate with senior technical leads to define approaches, track progress, and adapt strategies. • Develop software solutions for orbit determination, flight dynamics, tracking, and machine learning applications. • Establish robust strategies to ensure the reliability and accuracy of developed software. • Prepare internal and external reports and technical papers. • Support … and best practices. • Proficiency with libraries such as OREKIT, Stone Soup, and Keras. Highly Desirable Skills: • Experience in orbit determination, flight dynamics, tracking, or machine learning. • Proficiency in Java or Python, with a willingness to expand expertise. • Experience in algorithm development, particularly considering numerical accuracy. • Understanding of software development More ❯

versioning. Stay up to date with the latest research in GenAI and health tech applications of LLMs. Requirements 3+ years of experience working in machine learning/NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or More ❯

system requirements. A structured approach to FPGA/firmware design (RTCA DO-254 or similar). Cryptography and anti-tamper techniques. Artificial Intelligence including machine learning and genetic algorithms. Electronics test methods and equipment. Good verbal and written communication skills. Working in mixed discipline teams. HNC/HND … It would be nice if you had: Experience within the defence industry. Life at Leonardo With a company funded benefits package, a commitment to learning and development, and a flexible approach to working hours focused on the needs of both our employees and customers, a career with Leonardo has More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

us on Position Overview As an Application Developer, you will be working with colleagues focused on understanding the operational Use Cases, data scientists using ML models to deliver solutions to support business decisions, and data engineers to deliver an end-end solution. As a UI Application Developer, you will be … data engineering or optimization for high-volume manufacturing operations. UI design experience for appealing aesthetics and user experience. Experience in working with data for machine learning applications and providing visualization methods to support these tools. Knowledge of architectural patterns for efficient UI development and execution. Experience with the More ❯

scope, and constraints. • Designing and deploying predictive models and data-driven solutions From regression and forecasting to optimisation models, you'll apply statistical and machine learning methods to drive measurable business impact. • Applying strong domain knowledge to shape problem framing and solution design With your background in business … support you every step of the way. • Exposure to a modern cloud and AI stack across Snowflake, AWS, and beyond. • A culture of continuous learning, autonomy, and results-driven thinking. • Flexible work, with a distributed team across the UK, India, and South Africa. More ❯

backend services and infrastructure, working closely with cloud technologies and infrastructure-as-code tools. While the team works on a number of AI/ML projects, this is not a machine learning role - though an interest or past experience in the space is always a bonus! ✅ What you … grasp of unit testing using PyTest (or similar) Familiarity with modern DevOps practices (CI/CD pipelines, Docker, etc) 🌟 Nice to have: Exposure to ML frameworks like TensorFlow or PyTorch (not essential) Experience in e-commerce or retail tech environments This is a hybrid role, so candidates must be based More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I … Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines on AWS. Experience working on AWS MAP-funded modernisation projects. Benefits Overview 25 Days Paid Time-off Birthday Leave Company More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I … Have) Experience with Redshift, Neptune, Timestream, or other AWS data services. Knowledge of multi-cloud (GCP/Azure) and hybrid cloud environments. Familiarity with machine learning & analytics pipelines on AWS. Experience working on AWS MAP-funded modernisation projects. Benefits Overview 25 Days Paid Time-off Birthday Leave Company More ❯

with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision-making Experience with modern data science tools and programming languages such as Python, R, SQL etc. Experience with More ❯

Python A degree in Computer Science, Engineering, or a related field (or equivalent experience) Additional skills Familiarity with C/C++ Experience working with machine learning pipelines or large language models Knowledge of build systems for complex, multi-language projects More ❯

/Project Leadership Consultancy background or similar. This role will suit a well-rounded individual with experience across Software Development, Data Engineering, Cloud & ideally Machine Learning/AI. Salary of between £70,000 - £90,000 + 15% Bonus + 10% Pension contribution + 25 days holiday + Hybrid More ❯

Skills Strong SQL skills and experience working with large, complex data sets. Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis. Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools. Experience with data More ❯

projects dealing with different teams and stakeholders PREFERRED QUALIFICATIONS Master's degree in Automation Engineering, Mechatronics Engineering, Electrical Engineering, or equivalent Experience building with Machine learning, IoT, AI platforms More ❯

as CI/CD, Application Resiliency, and Security. Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Preferred Qualifications, Capabilities, and Skills: Familiarity with modern front-end technologies, e.g., React. Exposure to cloud technologies. About the More ❯

as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Familiarity with micro-service architectures Familiarity with Java programming More ❯

engineering disciplines such as electronics or mechanical engineering is preferred. Experience with embedded RTOS (e.g. FreeRTOS or Zephyr) is preferred. Knowledge of AI and machine learning concepts and algorithms is preferred. Familiarity with cloud platforms such as AWS, in particular elements related to IoT service deployment is preferred. More ❯

is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance More ❯

as CI/CD, Application Resiliency, and Security Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Working experience on Micro-Service architecture based application using Java and Spring, strong technical knowledge of Database, Kafka and REST More ❯

experience) Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data Deep understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our clients Have strong project management skills What You More ❯