451 to 475 of 4,926 Machine Learning Jobs in England

existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process. Build and maintain relationships with clients ...

data engineering is practised across the organisation. This is an opportunity to have genuine technical influence, working on platform capabilities that support analytics, machine learning, AI initiatives, and data-driven decision-making at scale. You will be expected to be able to drive forward the transition … implementation and adoption of data quality, observability, security, testing and deployment including creating and sharing standards Partner closely with Analytics Engineers, Data Scientists, ML Engineers, and product teams to ensure platform capabilities solve real-world problems Evaluate and introduce new technologies, helping the business adopt modern approaches to data engineering ...

that uncover revenue opportunities, improve customer retention, enable intelligent automation, and accelerate sustainable business growth. The ideal candidate combines expertise in data science, AI, machine learning, customer analytics, business intelligence, and commercial strategy with the ability to influence decision-making at the executive level. Key Responsibilities: Design, build … Analytics, Statistics, Mathematics, Economics, Computer Science, Engineering, Business, or related field. 8+ years of experience in Data Science, Customer Analytics, Business Intelligence, Revenue Analytics, Machine Learning, AI, or related disciplines. Experience building predictive models and advanced analytical solutions. Strong proficiency with SQL, Python, and modern analytics platforms. Experience ...

delivery team. Experience of applying knowledge of cloud computing, including architecting and deploying solutions, and selecting appropriate tools and design patterns. Exposure to advanced machine learning techniques (e.g. reinforcement learning, deep learning). Experience owning the day-to-day resource allocation of a large team … external clients and partners within the public sector for successful technical delivery and to build strong long-term relationships Knowledge of data science and machine learning concepts and principles. Expertise in Python and SQL, both for development and to review code. Strong working knowledge of database systems (e.g. ...

have the right data in the right place, providing access to insight, and delivering advanced capability to answer strategic questions using Data Science and Machine Learning. Utilising our advanced Google Cloud data platform, the Data Scientist explores complex datasets across our operations from field to fork to build predictive … decision-making. Accountabilities Customer Build trusted relationships with internal stakeholders to understand operational context and business priorities. Solve complex business problems using applied mathematics, machine learning, and statistical modelling. Own data science deliverables over the full life of data products, providing clear updates and presenting complex statistical outputs ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi‐disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

Learning team and take ownership of driving the adoption and implementation of AI across the business. This will include integrating AI/ML capabilities into their core SaaS products, which are used by a range of wealth management firms, banks and FinTech organisations globally. More about the company … 2017. London based - twice a week in the office. Work with some of the largest FinTech & Payments companies globally. Investing heavily in AI/ML to simplify processes and enhance their products. Award-winning business and part of a wider financial services group. The Role - Head of Machine Learning ...

Data UK practice, within the AI & Modelling Craft: a community of data scientists, AI engineers, modellers and solution architects focused on applying AI, machine learning and advanced analytics to solve customer and growth challenges. Our teams work across the full lifecycle, from identifying opportunities and designing solutions through … Role As a Lead AI Solution Architect, you will own the end-to-end delivery of customer-focused data and AI solutions, spanning machine learning products, generative AI solutions and agentic AI systems. You will define the target architecture, provide technical leadership to the teams that build ...

consultancy to find a Data Science Consultant with a strong focus on the Energy & Utilities sectors. In this role, you will apply advanced analytics, machine learning, and mathematical modeling to help major energy providers, utility networks, and public sector organizations drive evidence based decision making. You will work … analytics lifecyclefrom problem formulation and exploratory data analysis to model design, testing, and deployment. Sector-Focused Problem Solving: Apply advanced analytics, OR models, and machine learning to address critical challenges across energy, utilities, and sustainability. Client Translation: Translate complex business requirements into analytical solutions, effectively communicating technical methodologies ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … related field, or equivalent experience. Desired Skills Ability to write code or scripts (e.g., Python) to build automation directly. Experience building AI/ML‐powered or agentic applications, and with API integrations, CI/CD pipelines, or deploying production‐grade services. Technical background in systems administration, software engineering, cloud security ...

manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case. We're building for scale, and that scale brings ambiguity … record of driving growth within large, complex, regulated organisations. Key Responsibilities Lead a team centred on a .NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools. Own predictable, high ...

collaborating closely with architects, AI specialists and client stakeholders. You'll play a key role in delivering production-grade data platforms that support analytics, machine learning and AI workloads across industries including financial services, retail and the public sector. Alongside client delivery, you'll contribute to engineering best … scalability and cost efficiency. Collaborate with architects and customers to translate business requirements into production-ready data solutions. Support integration with downstream analytics, BI, machine learning and AI workloads. Contribute to CI/CD pipelines, deployment automation and infrastructure-as-code practices. What We're Looking For Essential ...

across scientific and business systems. Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering standards and best practices. Work closely with scientists, Bioinformatics … sciences or other R&D data. Azure and/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software‐engineering practices About ...

platform. What you'll do You’ll be involved across the full AI lifecycle, including: Exploring and understanding complex datasets Designing and training machine learning models Building AI-powered applications Writing clean, maintainable Python code Working closely with Engineering to deploy production systems Collaborating with Product and Operational … people who enjoy solving difficult technical problems, learn quickly and care about building high-quality software. You’ll bring experience in: Python SQL Machine Learning Cloud platforms such as AWS Working with large datasets Production software development Experience with any of the following is useful, but not essential ...

significant time pressure Strong enterprise architecture experience across AI, data, applications, integration, infrastructure, security and operating-model considerations A practical understanding of generative AI, machine learning, foundation models, retrieval architectures, orchestration, agentic patterns and modern data platforms Experience designing AI or machine-learning systems that progressed … 7+ years spanning technology strategy, AI advisory, enterprise architecture, solution architecture, technology consulting or related disciplines Have hands-on experience designing AI architectures or machine-learning systems that reached and remained in production Have experience working at the intersection of business strategy and technology, helping senior executives translate ...

platform. You will contribute to a sector-leading project, with responsibilities that include developing intelligent data-quality agents, predictive models that can transfer across machine families, prescriptive decision support, operational dashboards, and ensuring the delivery of methodologies, documentation, training, and workshops needed to integrate the solution into the business. … growth throughout the project. What we are looking for: You should be educated to PhD level in a relevant field such as Artificial Intelligence, Machine Learning, Computer Science, Data Science, Control Engineering, or a related subject, and you should be able to demonstrate project experience in a technically ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...

ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications … Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading ...

Engineer to join our client’s data team. This is a hands‐on role where you’ll design and build robust data pipelines, transform ML prototypes into production‐ready systems, and champion MLOps best practices across the business. As a Machine Learning Engineer, you’ll play a crucial … Your day‐to‐day will include: Building and maintaining end‐to‐end data pipelines and feature engineering workflows. Deploying and monitoring ML models in production using tools such as MLflow, Vertex AI, or Azure ML. Driving best practices in MLOps, including CI/CD, experiment tracking, and model governance. Supporting ...

challenges by combining deep engineering knowledge with thoughtful, research-backed innovation. Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy … Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning. Advanced Tech Communities Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks. SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless ...

will play a leading technical role in the design, development and deployment of AI solutions across the organisation. You will combine software engineering, machine learning and AI platform expertise to turn innovative concepts into production-ready products that deliver measurable business value.This is a hands-on engineering role … Engineering, Operations and Product organisations.# ## **WHAT YOU'LL BRING:**Essential Experience* Extensive software engineering experience delivering production-scale solutions.* Experience building AI or machine learning systems in enterprise environments.* Demonstrated experience moving AI solutions from proof-of-concept into production.* Strong understanding of software architecture, engineering standards ...

production-ready code. Design and develop backend services, APIs, data pipelines and integrations. Build AI systems, including solutions using Large Language Models and machine learning. Review code and technical designs Apply software engineering best practice including Git, Docker, CI/CD and cloud deployment. Defence and Domain Expertise: Rapidly … data engineering pipelines. Experience of using cloud platforms such as AWS or Azure, Docker, Git and CI/CD. Experience of designing or developing machine learning and AI systems, including Large Language Models. Experience of completing code and technical design reviews and applying software engineering best practices. Extensive ...

Palantir Foundry and AIP . You will play a key role in designing, developing, and optimizing scalable data solutions, enabling advanced analytics, AI/ML initiatives, and business-critical decision-making. Working alongside data architects, product teams, and business stakeholders, you will help deliver enterprise-grade data products that drive … integrations using TypeScript , Python , and PySpark . Collaborate with business and technical stakeholders to translate requirements into scalable data solutions. Integrate AI/ML capabilities into data workflows and support the deployment of intelligent applications using Foundry AIP. Implement best practices for data quality, governance, security, and performance optimization. Contribute ...

restricted environments. About the Team Learn more about our work and the team on our website, recent blog post featuring one of our senior machine learning engineers and our latest Voices of Viridien. Key responsibilities Design and implement production architectures for agentic AI, LLM and vision‐language applications. … your choice! Buy & Sell Holiday Programme - you can buy extra holiday, sell unused holiday or even save it up! Relaxed dress code policy Learning and Development At Viridien, we foster a culture of continuous learning and provide tailored training programs through our Learning Hub, designed to enhance ...