776 to 800 of 1,656 Machine Learning Jobs in England

engineering, and commercial stakeholders across the business. This is a hands-on mid-level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives … models A practical and commercially minded approach to Data Science Nice to have: Cloud exposure (GCP or Azure) Experience with Vertex AI or Azure ML THE BENEFITS Up to £50,000 HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply ...

alongside the team Strong experience working in Agile environments What Sets You Up for Success: Experience with C#, Postgres, React/Angular Experience with ML Systems, Architectures, and Techniques Experience with Microservices, robust UI/UX, and high availability applications Long‐term experience in managing full‐stack solutions across … tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we’re not just watching the future of hospitality unfold – we’re coding it, designing it, writing ...

understand data capture mechanisms and pipelines Contribute to shaping the technical roadmap and direction of the product Explore opportunities to leverage AI/ML techniques (including LLM-related approaches where relevant) Scale solutions from prototype through to production Key Requirements Proven experience as a Data Scientist within … from hardware or IoT/wearable devices Ability to operate with limited direction and take ownership of solutions Strong programming skills (e.g. Python, relevant ML libraries) Experience deploying models into production environments What’s on Offer Salary of £60,000 – £90,000 Opportunity to join a high-growth AI company ...

live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily … Required ExperienceEssential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment ...

e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures and technologies.* Experience with data management tools and processes.* Experience with AI and Machine Learning, including MLOps practices.* Experience with decentralised Data Mesh and Data Product architecture principles.* Maintain a high-level roadmap for the development … first published in 1869.Nearly two centuries of progress and advancement in science and education have helped shape the business we are today. Research and learning continues to be the cornerstone of progress, and we will continue to open doors to discovery through trusted brands and innovative products and services. ...

customers’ business problems using the latest techniques, methods and technologies. We are a rapidly-growing team of visualisation specialists, data scientists, and AI and machine learning engineers – we seek to ideate and bring to life what’s next for our clients. The Focus Of Your Role and What … multiple full lifecycle implementations A passion for data and insights Expert knowledge of BI, visualisation and storytelling concepts A desire to broaden your skillset, learning and utilising other tools as required Knowledge and experience of data warehousing concepts and SQL are desirable Experience in interfacing with senior client stakeholders ...

Campus Salary: up to £54,000 per annumStudy Group attracts a diverse, international student body seeking high-quality teaching, combined with an industry-focussed learning experience and strong employability opportunities within London’s dynamic, professional environment.The University of Huddersfield London Campus is an exciting new academic institution … London Campus. ABOUT THE ROLE Design teaching material and deliver across a range of modules or within a subject area using appropriate teaching learning support and assessment methods to ensure student’s progress Design, mark and give feedback on appropriate formative and summative assessments, providing opportunities for students ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About The Role Senior Engineering Managers at Lendable are a unique group of humans … identify and resolve bottlenecks quickly and efficiently. Skilled in building high‐performing teams, with experience in skills assessment, cross‐training, and fostering a continuous learning and improvement culture. Ability to strategically guide technical decisions without being a blocker, with familiarity in technical debt management, architectural planning, and quality assurance ...

Search Place Limited is hiring a Product Manager III for their GenAI & ML Platform team in Greater London. This role is crucial for building AI-driven innovations and requires expertise in product management. The ideal candidate should have over 5 years of experience in the field, strong analytical and communication … skills, and familiarity with AI and machine learning technologies. Join a team dedicated to enhancing productivity and user experiences. #J-18808-Ljbffr ...

highly desirable) Exposure to AI enabled transformation or digital product delivery Strong senior stakeholder management Technology Exposure (Desirable) Generative AI and Agentic AI workflows Machine Learning concepts Azure ecosystem Agile delivery (e.g., Jira) Location: London (hybrid) Rate: £600-700 per day Outside IR35 Duration: 6 month initial Start ...

require all candidates to be willing to attain an eDV clearance. In this area of the business we prove DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission ...

architecture or related fields. Deep knowledge of modern data architecture, cloud platforms (Azure, AWS, Databricks), ETL/ELT. Experience with metadata management, AI/Machine Learning integration. Strong communication and stakeholder engagement skills. Understanding of information security, privacy, and compliance regulations. Hybrid position in the City of London ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. What ...

communicate effectively with senior stakeholders and influence decision-making Experience working across both strategy and delivery, with a pragmatic approach Exposure to AI or machine learning use cases is beneficial Comfortable working across multiple projects and adapting to different business contexts What They Offer High-impact role with ...

with backlog ownership Ability to translate complex technical concepts into business value Strong stakeholder management and communication skills Desirable experience Exposure to AI/Machine Learning within data platforms Experience in regulated or data-sensitive environments Knowledge of data governance and risk frameworks Experience supporting large-scale platform ...

iteration Designing and implementing intuitive user interfaces for complex data driven workflows Collaborating with backend engineers and data scientists to integrate APIs, analytics, and machine learning powered functionality Improving application performance, accessibility, and overall user experience Contributing across the full stack when required, including backend development ...

modern data architectures. Docker, Kubernetes and CI/CD pipelines. Modern engineering practices including testing, monitoring and infrastructure as code. Experience with AI or machine learning is beneficial but not essential. What makes this different? You'll join at a stage where engineering decisions genuinely matter. ...

commercialisation, and implementation of data and AI solutions. Strong understanding of data strategy, governance, and platform architecture . Demonstrable technical background in applying statistical, machine learning, or data science techniques to solve business problems, particularly in data quality or data validation. Experience with use case development and data ...

reporting and insight standardisation through tools such as Power BI and Omni, ensuring a consistent view of business performance. Drive predictive analytics and machine learning initiatives, including customer lifetime value and propensity modelling. Collaborate cross-functionally with commercial, finance, and digital teams to ensure insights translate into measurable ...

Develop a future workforce platform using Backendless, Azure, and BaaS (Backend-as-a-Service) solutions Work on AI-powered automation, including chatbots and machine learning solutions Expand automation initiatives into other departments, such as finance, procurement, and clinical workflows Grow into leadership roles, such as Senior Digital Developer ...

Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. Nice to Have: Understanding of basic machine learning concepts and experience building data pipelines. Mentorship experience, helping team members grow and contributing to a culture of continuous learning. Qualifications Additional ...

building complex indices that drive positive change in the world.* We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools.* We are backed by some of the world’s leading tech investors ...

statistical or software development component. You will have the ability to write high-quality Python code You will be able to apply statistical/machine learning techniques, and have an understanding of how they work and their limitations You will have the ability to creatively solve complex problems ...

scalability are essential Technology Environment The engineering stack includes: Python C++ Linux Distributed Systems Cloud Infrastructure Data Platforms Market Data Technologies Research & Simulation Frameworks Machine learning techniques may be used where appropriate, but the primary focus is on systematic investing, quantitative infrastructure, and high-quality engineering. Required Qualifications ...

statistical or software development component. You will have the ability to write high-quality Python code You will be able to apply statistical/machine learning techniques, and have an understanding of how they work and their limitations You will have the ability to creatively solve complex problems ...