Manchester, Lancashire, United Kingdom Hybrid / WFH Options
La Fosse Associates
future of analytics within the business. You'll be designing and deploying ML models across areas like segmentation, customer lifetime value, and marketing attribution, with scope to explore generative AI applications. Key Skills & Experience: 3+ years in data science/ML engineering roles (retail/e-commerce sector experience is a plus) Strong Python, SQL, and data science toolkit experience More ❯
challenging productive machine learning 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 … best quality. 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 More ❯
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across … systems, solving difficult and novel problems, and leading engineering and operational teams working in this space. Proven experience in developing data structures and algorithms. Experience working with ML/AI highly desirable. Proven experience contributing to product strategy development with Product Management teams. Experience in SaaS product engineering and operations highly desirable. Proven experience in modern software development and testing More ❯
Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯
Terraform, Kubernetes, Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional More ❯
Relational or non-relational databases using SQL or NoSQL Data Engineering skills using Python Modern Analytics architectures - Data Lakes/Data fabrics/Data mesh. Machine Learning and Generative AI use cases HTML, JavaScript, Angular XML, XSLT, JSON, SOAP, REST Cloud hardware services, containers, kubernetes, etc. Windows, Unix/Linux, MAC OS X API Management Healthcare protocol experience (FHIR, HL7 More ❯
deploys world-class software solutions used across industries.As a Software Engineer at IBM, you will be part of an agile team working on cutting-edge technologies, cloud-based systems, AI integrations, and enterprise solutions. You'll contribute to projects that matter - from digital transformation for Fortune 500 companies to solving complex problems with scalable software. Job Responsibilities: Design, develop, and More ❯
from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/ More ❯
cross-functional teams to integrate analytics solutions into our products. Design and build data visualization tools to communicate findings to stakeholders. Continuously research and apply the latest techniques in AI and machine learning to supply chain problems. Contribute to the development of our analytics product suite, ensuring scalability and efficiency. Communicate complex data science concepts to non-technical stakeholders. Key More ❯
for machine learning. Your expertise spans data processing and distributed systems, with a focus on software engineering. You will work at the intersection of research and product, building generative AI features in Autodesk products. You will report to: Manager, Autodesk Research, Generative AI. Location: London or remote (within UK). Autodesk supports a hybrid work environment, allowing remote, in-office More ❯
professional, you will work closely with our business units. Our technology teams offer an environment with exciting challenges - supporting and developing legacy systems or 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 Cloud More ❯
that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new technologies Good More ❯
AD/ADAS, our autonomous driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we're working toward one bold goal: a world with zero accidents and More ❯
Newcastle Upon Tyne, Tyne and Wear, North East, United Kingdom Hybrid / WFH Options
Netcompany UK Limited
IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description This is an exciting opportunity within technology consultancy, which offers you More ❯
cloud providers, including AWS, Microsoft, and Google Cloud, and other leading partners worldwide to create strategic alliances. The Dynatrace platform uses cutting-edge technologies, including our own Davis hypermodal AI, to help our customers modernize and automate cloud operations, deliver software faster and more securely, and enable flawless digital experiences. Over 50% of the Fortune 100 companies are current customers More ❯
We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising. We're endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across More ❯
About the Role We are seeking a Senior MLOps Engineer to join our AI team and drive the design, deployment, and continuous improvement of our MLOps platform. In this role, you will have the autonomy to shape our infrastructure, ensuring scalable, efficient, and robust operations that support rapid model iteration and deployment at scale. Key Responsibilities: Design & Implement ML Workflows More ❯
working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full More ❯
company's exposure to security risks has never been greater - with an ever-changing threat landscape, continually evolving privacy regulations, the growth in Software-as-a-Service (SaaS) and AI, and the centrality of data to meet our business objectives it is vital companies implement effective controls to reduce their security exposure and protect their networks, systems, applications and data. More ❯
in building internal data communities or enablement programs Working with diverse data sources (APIs, CRMs, SFTP, databases) and formats (Parquet, JSON, XML, CSV) Exposure to machine learning models or AI agents Why Join Us Help shape the future of data in an organization that treats data as a product Work in a modern data stack environment with a focus on More ❯
damages, or expenses resulting from scammers. About the company Intapp powers connected firm management for private equity, investment banking, legal, accounting, and consulting. Our end-to-end, cloud-based, AI-infused connected firm management software unlocks your collective knowledge from first touch to final ou More ❯
Defining and building capabilities for Software Development, QA, DevOps and Delivery, including recruiting into these areas where necessary Leading the collaboration with other teams, such as data platform or AI specialists, as well as external relationships with key technology companies/partners. At Arup, you belong to an extraordinary collective in which we encourage individuality to thrive. Our strength comes More ❯
commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion More ❯
Partner with data engineering and analytics teams to design a domain-driven, unified data architecture. Support the creation of a real-time, scalable data layer that enables advanced analytics, AI-driven decision-making, and machine learning capabilities. Contribute to the development of data governance and compliance strategies. Technical Leadership & DevOps Culture Lead by example across delivery teams, offering hands-on More ❯
