1,026 to 1,050 of 4,309 Machine Learning Jobs in the UK

and testing prototypes to validate AI use cases. Advising product and commercial teams on the practical application of GenAI and data-led insights. Staying ahead of developments in AI, machine learning, and data engineering, applying them where relevant to solve business problems. Contributing to the development of data strategy and capability across a portfolio of early-stage ventures. More ❯

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where More ❯

connect data, software, and purpose to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices, space exploration, beer … we promote a healthy work-life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun, supportive and modern workplace where More ❯

and testing prototypes to validate AI use cases. Advising product and commercial teams on the practical application of GenAI and data-led insights. Staying ahead of developments in AI, machine learning, and data engineering, applying them where relevant to solve business problems. Contributing to the development of data strategy and capability across a portfolio of early-stage ventures. More ❯

highly regulated sectors Familiarity with Apache Kafka, Spark, or Hadoop Experience with Docker and Kubernetes Use of monitoring/alerting tools such as Prometheus, Grafana, or ELK Understanding of machine learning algorithms and data science workflows Proven ability to deliver end-to-end data solutions Knowledge of Terraform, Ansible, or similar IaC tools Interested? If you're ready More ❯

technical direction, guidance, and quality 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 business development activities as needed. … with a commitment to quality 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 lifecycles (Waterfall/Agile). More ❯

able to explain technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression … Benefits Furthr App personal climate account & project funding Pension scheme Annual field trips to reforestation & conservation sites Training & upskilling budget, plus monthly in-person events and bi-weekly virtual learning sessions You will thrive with us if you have that core drive to help our planet and to restore our world's nature. We offer financial incentives of course More ❯

able to explain technical methods in plain English Great attention and care for detail Self-starter attitude: proactive, resourceful, and eager to learn new technologies Future Focus Exposure to machine learning or statistical modelling libraries Familiarity with the Greenhouse Gas Protocol and basic carbon-accounting principles What We Offer Starting salary £30 – 35k, with opportunity for role progression … Benefits Furthr App personal climate account & project funding Pension scheme Annual field trips to reforestation & conservation sites Training & upskilling budget, plus monthly in-person events and bi-weekly virtual learning sessions You will thrive with us if you have that core drive to help our planet and to restore our world's nature. We offer financial incentives of course More ❯

applications on Kubernetes, ensuring scalability and resilience. Use Go and/or Python for automation tasks. Troubleshoot complex issues with analytical skills. Qualifications Experience with applications, data engineering, or machine learning workloads on AWS or GCP. Hands-on with CloudFormation and Terraform. Knowledge of data security principles in cloud environments. Familiarity with AWS networking (VPCs, Route 53, Security More ❯

for employees, clients, merchants, and internal teams. Team Management and Development: Lead, mentor, and develop a team of Product Managers within the Data Cluster. Foster a culture of continuous learning, collaboration, and high performance. Hold team members accountable for their performance and professional growth. Technical Expertise: Bring a deep understanding of data technologies, including batch processing, stream processing, storage … analytics, machine learning, and AI. Collaborate with Engineering teams to ensure the data platform meets technical requirements and supports product initiatives. Evaluate and implement new technologies and tools to enhance data capabilities. Cross-functional Collaboration: Work closely with Engineering, Design, Data Science, and other teams to deliver high-quality data products. Partner with business units to understand data More ❯

and customer centric financial services company. In this role, you’ll drive the evolution and implementation of data products, ensuring high-quality, accessible, and trusted data that fuels analytics, machine learning, and personalised experiences. You will work cross-functionally to create data products that empower teams across the business, from marketing to operations, and enable insight-driven decisions. More ❯

of professional experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent More ❯

of professional experience in Data Science or Quantitative roles within finance. Proficiency in Python and SQL with exp. in data processing libraries such as pandas/numpy. Experience with machine learning frameworks and statistical analysis tools. Familiarity with financial data sources, APIs, and data modelling techniques. Ability to design, implement, and maintain scalable data pipelines and workflows. Excellent More ❯

enthusiastic Technical Lead with solid coding experience to join our ever-growing team. Your strong understanding of agile methodologies and the software development lifecycle, combined with your passion for learning, will be crucial as we continue to innovate in a fast-paced development environment. You'll have a positive attitude and the ability to work well independently and collaboratively. … or Kanban Experience with infrastructure as code (IaC) tools such as Terraform or CloudFormation Familiarity with monitoring and logging tools such as Prometheus, Grafana, or ELK Stack Experience with machine learning and artificial intelligence technologies Desirable Certifications Strong proficiency in at least one of the following AWS certifications: AWS Certified Solutions Architect - Associate AWS Certified Solutions Architect - Professional … continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with More ❯

or related fields At least 8 - 10 years of experience in a consultancy role focused on innovation/data science/AI Deep knowledge of AI technologies (intelligent automation, machine learning, deep learning, LLMs, LRMs, autonomous agents and agentic workflows) and AI frameworks Hands-on experience with AI or data-related projects and familiar with its tools More ❯

Perforce) CI/CD tools (e.g., Jenkins, Bamboo) Automated testing frameworks Code quality tools like SonarQube Agile methodologies (Scrum, Kanban) Software design patterns Additional preferred skills include experience with machine learning, cloud deployment (AWS, Azure), containerization (Docker, Kubernetes), database systems, and configuration management tools like Ansible. Support and Benefits 25 days holiday with flexible benefits options Flexible and More ❯

also provides the enterprise core central shared technologies capabilities and services to power these experiences and empower Associates from design to development, deployment, operations, and actionable insights topped with learning & development resources. Within Mars, as GenAI technology transitions from experimentation to scalable enterprise value, solving many business problems, there is a critical need for focused product leadership to translate … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

also provides the enterprise core central shared technologies capabilities and services to power these experiences and empower Associates from design to development, deployment, operations, and actionable insights topped with learning & development resources. Within Mars, as GenAI technology transitions from experimentation to scalable enterprise value, solving many business problems, there is a critical need for focused product leadership to translate … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

also provides the enterprise core central shared technologies capabilities and services to power these experiences and empower Associates from design to development, deployment, operations, and actionable insights topped with learning & development resources. Within Mars, as GenAI technology transitions from experimentation to scalable enterprise value, solving many business problems, there is a critical need for focused product leadership to translate … delivers responsible, impactful, and measurable digital transformation through AI. What are we looking for? 7+ years of experience in digital product management, with at least 2 years delivering AI, ML, or GenAI solutions in an enterprise environment Proven track record of managing the end-to-end product lifecycle-from ideation through launch and optimization-preferably in complex, matrixed organizations Strong … and talented Associates, all guided by the Five Principles. Join a purpose driven company, where we're striving to build the world we want tomorrow, today. Best-in-class learning and development support from day one, including access to our in-house Mars University. An industry competitive salary and benefits package, including company bonus. Mars is an equal opportunity More ❯

development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using More ❯

development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using More ❯

development. You’ll also get exposure to Python, Databricks, and Azure as you grow into the role. There is also future potential to gain exposure in data science and machine learning projects as the team evolves. Day-to-Day Responsibilities: Build and maintain SQL queries and Looker dashboards for reporting and visualisation Develop and maintain data pipelines using More ❯

their exciting journey! Our client equips traders with tools that are faster, smarter, and easier to use. This is a fantastic opportunity to join a leading AI company whose Machine Learning product suite creates new trading opportunities through real-time analytics, supported by a world-class, scalable, ultra-low latency architecture. The Data Platform is crucial to all More ❯

and the global client group, communicate effectively with stakeholders and present insights. As a key member of our dynamic team, you will also help nurture a culture of continuous learning and innovation, ensuring that we remain at the forefront of Responsible Investing. The ideal candidate is ambitious, determined, and self-motivated, and able to navigate a fast-paced environment.Acadian … the ability to collaborate across regional offices and time zones. Proficient in financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such More ❯

personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Desirable: Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased adoption and usage More ❯