2,251 to 2,275 of 8,397 Machine Learning Jobs in the UK

the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership. • Gain access to endless learning opportunities. • Be part of an exciting team where you will be challenged every day. • Build strong relationships with a diverse range of stakeholders. The Role As a Data Architect … scale. • Experience working with large-scale data systems, particularly in cloud environments. • Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer). • Experience with machine learning and AI integration into data architectures. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience with advanced analytics and data science use cases. TCS is 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 ❯

will be based on your skills and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Harnham Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution Lead/Principal Data Scientist Up to £180,000 London (Hybrid, 4 days onsite per More ❯

managing source code control and CI/CD tools like GitHub, Jenkins or similar Experience with developing multi-tenant SaaS application in either AWS, GCP or Azure Experience with Machine Learning libraries using Java or Python Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services More ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. 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 ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. 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 ❯

time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. 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 ❯

pipelines, validations, and rules. Python Proficiency: Strong skills with libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Ability to write clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

the UK, and further abroad internationally. You’ll be supporting quality development – the business is continuously investing in new applications for technology, and are looking for ways to implement Machine Learning and improving DevOps in their process to further add value to their Authors. Their overall technology stack includes: Django, Flask, React, MongoDB, PostgreSQL, SQLserver, Docker and is More ❯

such as CI/CD, Application Resiliency, and Security Practical cloud native experience Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Strong Knowledge in Python and SQL Understanding of ETL best practices, data portioning and schema evolution Experience with data modelling and working with large-scale More ❯

and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based digital trading platforms, and modernised underwriting solutions—all underpinned by a robust Azure cloud estate. Role Overview: Platform Engineer More ❯

and data team that thrives on solving complex challenges through collaboration, best-in-class tooling, and modern cloud-native architecture. The team is actively driving forward initiatives such as machine learning for post-catastrophe property damage identification, API-based digital trading platforms, and modernised underwriting solutions—all underpinned by a robust Azure cloud estate. Role Overview: Platform Engineer More ❯

statistical analysis of results Experience with AWS technologies Experience in scripting for automation (e.g., Python) and advanced SQL skills Experience with theory and practice of information retrieval, data science, machine learning, and data mining PREFERRED QUALIFICATIONS Experience working directly with business stakeholders to translate between data and business needs Experience managing, analyzing, and communicating results to senior leadership 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 ❯

Innovation You commit to rigorous scientific methodology, data integrity, and staying at the forefront of knowledge in our field. Build systems, processes and routines to foster critical thinking, continuous learning, and principled, data-driven decision-making. Identify, develop and implement new technologies/methodologies within the team. SKILLS AND QUALIFICATIONS A PhD with at least 5 years of experience … Kingdom 2 days ago London, England, United Kingdom 2 weeks ago Senior Computer Scientist - Systems and Infrastructure London, England, United Kingdom 1 week ago Research Scientist (Quantum Chemistry and Machine Learning), London London, England, United Kingdom 17 hours ago Research Scientist Manager, Computer Vision & GenAI London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks More ❯

deliverables are on track, while effectively communicating findings to stakeholders. Education & Training: Educate, train, and build knowledge of enterprise data platforms and solutions with customers and internal teams. Continuous Learning: Stay current with technical and industry developments, including pursuing relevant certifications. Documentation: Document all designs and solutions meticulously. Consultative Approach: Maintain a consultative approach to all projects. Must-Have … Implementation: Experience with three or more of the following: Azure Synapse, Azure SQL DB, Cosmos DB, Mongo DB, Redshift, S3, Stream Analytics, Kinesis, Azure Data Factory, IoT Hub, Azure ML Studio, SageMaker Modelling, Azure Data Lake Gen2, HD Insight. Desirable Skills Experience in Fabric and Synapse is highly desirable Programming: Knowledge of SQL and Python. DevOps: Experience with Azure DevOps. More ❯

and know how, when, and which to use and which not to use. • Use data mining, model building to create solutions for the growing analytical needs • Drive projects on machine learning, data automation, governance and standardization • Develop innovative BI and data analytics solutions leveraging generative AI (AWS Bedrock) to build intelligent knowledge bases and conversational interfaces for enhanced More ❯

such as CI/CD, Application Resiliency, and Security. Practical cloud-native experience. Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Strong knowledge in Python and SQL. Understanding of ETL best practices, data partitioning, and schema evolution. Experience with data modeling and working with large More ❯

Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with … complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities Proactive approach with team members and clients Continuous improvement of core AI services … Take ownership of the services within your expertise Contribute to the ongoing innovation R&D projects Implement and maintain ML Infrastructure Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience with More ❯

The Role: Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams. You will work alongside a cross-functional team of Product Managers, Engineers, Analysts, and other Machine Learning Scientists, playing a key role in building machine learning models. Responsibilities: Research, design, and deliver machine learning … e.g., following the agile cadence, whiteboarding sessions, planning, and product roadmapping). Report and present technical findings to both technical and non-technical audiences. Skills and Experience: Experience developing ML models to solve real-world problems, with a background as a Data Scientist or Machine Learning Scientist. Proficiency in Python. Solid understanding of machine learning concepts … Collaborative and humble team player capable of working with cross-functional teams, including technical and non-technical stakeholders. Passion for learning new skills and staying updated with applied ML developments. Bonus Points: Experience with pricing models, causal inference, or revenue optimization. Experience with NLP, image processing, information retrieval, and deep learning models. Experience with experiment design and conducting More ❯

evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications Regular and frequent promotion opportunities to ensure you can drive and develop your career with us Feedback … Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting … 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 ❯

evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. We offer: Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications Regular and frequent promotion opportunities to ensure you can drive and develop your career with us Feedback … Kubernetes). Strong troubleshooting and problem-solving skills. Experience with ITIL processes and service management. Excellent communication and reporting skills. Preferred technical and professional experience Experience with AI/ML workloads and infrastructure. Knowledge of cybersecurity best practices and threat mitigation. Familiarity with multiple cloud vendors (e.g., AWS, GCP, Azure). ABOUT BUSINESS UNIT IBM Consulting is IBM's consulting … 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 ❯

Practical knowledge of volatility trading and market microstructure in equity derivatives Some other highly valued skills may include: Master's or PhD in STEM (math, statistics, or computer science) Machine learning and optimization theory Knowledge of Python & Rust You may be assessed on key critical skills relevant for success in this role, such as risk and controls, change More ❯

work environment. Our core values - energetic, responsible and together - shape the foundation of our corporate culture. Join us for a rewarding career in management consulting, offering competitive compensation, continuous learning, and ample opportunities for professional growth. For more information, visit www.wavestone.com and become part of our journey to shape a positive and impactful future. Job Description Becoming part of … and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proficiency in leading strategic Transformation Programmes and strong technical acumen enhancing advisory credibility . Ability to manage complex programmes and projects, ensuring More ❯

work environment. Our core values - energetic, responsible and together - shape the foundation of our corporate culture. Join us for a rewarding career in management consulting, offering competitive compensation, continuous learning, and ample opportunities for professional growth. For more information, visit www.wavestone.com and become part of our journey to shape a positive and impactful future. Job Description Becoming part of … and capabilities that these typically solve for Familiarity with one or more of the hyperscale cloud platforms (Azure, AWS, GCP) Knowledge of emerging efficiency driving technologies such as AI, Machine Learning, and/or intelligent automation Proficiency in leading strategic Transformation Programmes and strong technical acumen enhancing advisory credibility . Ability to manage complex programmes and projects, ensuring More ❯