1,876 to 1,900 of 10,089 Machine Learning Jobs in the UK

the management of complex automation 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 #J-18808-Ljbffr 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 … 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 ❯

Strong attention to detail, analytical and problem-solving skills Working knowledge of Unix. Emerging knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Preferred qualifications, capabilities, and skills Knowledge of AWS Knowledge of Databricks Understanding of Cloudera Hadoop, Spark, HDFS, HBase, Hive. Please note that if you are NOT More ❯

Senior Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of More ❯

will work closely with our business units. Our technology teams offer an environment with exciting challenges, including supporting and developing legacy systems and introducing modern technologies such as AI, machine learning, and highly automated trading applications. Our Technology department, comprising around 300 employees, works largely in an agile manner using a Scrumban approach. It covers areas such as More ❯

front-end and back-end systems Deliver high-quality code and successful project outcomes Provide mentorship to other software engineers Stay updated with the latest advancements in AI and machine learning REQUIRED SKILLS: Degree in a creative or quantitative field such as design, engineering, mathematics, finance. If self-taught, a portfolio past projects is required Experience of leading More ❯

an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Our Technology department of around 300 employees works largely in an agile way using a Scrumban approach and covers areas such as More ❯

Language Models (LLMs) with advanced Computer-Aided Design (CAD) systems to transform how Amazon's engineering teams work worldwide. We leverage AWS cloud computing and state-of-the-art machine learning technologies to create scalable, intelligent tools that accelerate product development, automate complex design processes, and enable unprecedented engineering collaboration across Amazon's diverse product portfolio. If you More ❯

to meet great challenges. Finally, with their strong ownership bias, they have an infectious desire to continually improve how things are done. We use the most recent advances in machine learning and data collection to make real-time decisions to eliminate payment fraud at Amazon scale. About the candidate: The ideal candidate for our team is passionate about More ❯

apply your expertise in many ways. Here are some examples to give you a flavour of what you will do: Identify and define technical tasks from project requirements Implement machine learning models, data pipelines, and integrations with Storm's product suite Investigate new AI approaches, frameworks, and best practices for application in public sector contexts Work closely with More ❯

Guide strategic customers in adopting Databricks Lakehouse as a unified data platform for structured and unstructured market data. Enhance and grow your knowledge among subject matter experts in our learning and development ecosystem. Qualifications Proficient in data engineering, data platforms, and analytics. Deep experience with Python, SQL, and/or Scala. Knowledge of two or more common Cloud ecosystems … technical project delivery, managing scope and timelines. Able to communicate complex technical concepts to business stakeholders. Adaptable to evolving technologies and projects. At least one Databricks Certification, Data or ML Engineering. What we offer: Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance. Professional development – we offer extensive training, ranging from leadership More ❯

Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address business needs Power Platform and PowerShell WORKING WITH US We're proud to be building a workplace where everyone feels they belong. We celebrate More ❯

apprenticeship lasts 15 months, plus a 3-month end-point assessment. Modules include data fundamentals, preparation and visualization, databases and SQL, programming for data analysis, data warehouses, data analysis, machine learning, and cloud platforms. Your Experience, Skills, and Knowledge Assist in building and maintaining ETL data pipelines. Support database creation and optimization. Collaborate with data analysts to prepare More ❯

Analytics (KQL/SQL or BigQuery for GCP) Power Platform and PowerShell Lab 2: Security Operations SIEM management Advanced logging DLP technical policy development Ability to build and train machine learning models to address business needs Power Platform and PowerShell WORKING WITH US We’re proud to be building a workplace where everyone feels they belong. We celebrate More ❯

the Behavioral Security Products team . Our company is built around the idea of first understanding the person we are trying to protect using baselines of historic behaviour and ML models to determine what normal looks like for every employee of a company. Our team builds the features that take those insights and show our customers what is happening with … collaborators and stakeholders Well rounded and can switch contexts between building frontend UI components and backend APIs Looking to grow as an engineer as part of a strong team, learning from established engineers, product managers, and designers Know what it takes to be successful working with remote collaborators and stakeholders, and are experienced with remote management Detail driven and More ❯

to meet great challenges. Finally, with their strong ownership bias, they have an infectious desire to continually improve how things are done. We use the most recent advances in machine learning and data collection to make real-time decisions to eliminate payment fraud at Amazon scale. About the candidate: The ideal candidate for our team is passionate about More ❯

insurance with world-class data analytics and risk assessment solutions. As a global tech leader, we empower insurers to make faster, smarter decisions through the power of advanced AI, machine learning, and cutting-edge cloud technologies. Our platforms support everything from catastrophe modeling and underwriting to fraud detection and claims optimization—helping insurers manage complexity, reduce risk, and More ❯

competitive edge. The Senior Data Engineer will be required to build relationships and collaborate with key stakeholders, responsibilities include: Architect and implement efficient data pipelines that enable our Quants, ML, Analytics and Operation teams to quickly build solutions without having to spend considerable time wrangling with data. Drive technical decisions, evaluate new technologies and tools, and contribute to the continuous … time trading data feeds. Benefits & perks: Competitive salary Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Pension scheme Annual Bluecrest health checks A personal learning & development budget of £5000 Free gym membership Specsavers vouchers Enhanced family leave Cycle to Work scheme Credited Deliveroo dinner account Office massage therapy Freshly served office breakfast twice a More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models … our platform. Code Quality: Champion code quality best practices, including thorough testing, code reviews, and adherence to coding standards. Mentorship: Mentor and guide junior engineers, fostering a culture of learning and growth within the team. Collaboration: Collaborate effectively with researchers, quantitative analysts, and other engineers to deliver innovative solutions. Technical Leadership: Contribute to the technical vision and strategy of More ❯

First, PN is moving to a Product based model to create business facing digital capabilities. Develop and maintain robust data pipelines and storage solutions to support data analytics and machine learning initiatives. Reporting to the Director-Data engineering solution, The role operates globally in collaboration with teams engineering teams across core products. Technical Leadership - Provide strong technical leadership More ❯

ll be solving Nice to haves Experience working on routing, scheduling, or network optimisation problems Experience developing your own algorithms or heuristics Experience working with Geospatial data Experience with Machine learning or other modelling techniques Experience in fast-scaling startups or operational teams Experience in logistics, mobility, marketplaces, or other operationally complex businesses What we offer Generous equity More ❯

understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile, Interest in developing industry trends, especially around data management platforms Previous experience supporting at least one Capital Markets Line of Business BS/BA degree or More ❯

practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments. Advanced proficiency in Python programming. Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Ability to tackle design and functionality problems independently with little to no oversight, demonstrating self-starter capabilities. More ❯

practical experience delivering system design, application development, testing, and operational stability, particularly in cloud environments. Advanced proficiency in Python programming. Advanced knowledge of cloud-based systems, artificial intelligence, and machine learning, with considerable in-depth knowledge in implementing solutions using AWS. Ability to tackle design and functionality problems independently with little to no oversight, demonstrating self-starter capabilities. More ❯