326 to 350 of 1,125 Machine Learning Jobs in England

Lead Data Scientist, AI/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we re looking for our next colleague … join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities guiding small, high performing teams as they ...

secure boot mechanisms Develop machine learning-enabled acoustic detection and classification systems: Data pre-processing and feature extraction Deployment of optimised ML models on constrained embedded devices Essential Experience Significant experience in embedded C/C++ development Strong experience across the full product lifecycle (concept → production) Proven expertise … Experience implementing mesh networking protocols Solid understanding of embedded security (encryption, authentication, secure firmware updates) Strong debugging and hardware bring-up skills Highly Desirable Machine learning for acoustic detection/classification Experience with MEMS microphone-based systems Wind/ambient noise mitigation design (hardware and software) Secure ...

Staff ML Engineer – AI/NLP/Search (London – Hybrid) £90,000 - £110,000 An industry-leading, AI-first technology platform in the intellectual property space is hiring a Staff-Level ML Engineer to lead all Data and NLP initiatives. This company was an early adopter of Large Language Models … building advanced, agentic AI workflows that autonomously answer complex research questions. The platform combines proprietary ML models with cutting-edge NLP techniques to deliver high-precision search and insights at scale. The Role As the technical lead for Data & NLP, you will: Own and improve search performance (precision & recall) Optimise ...

Data Science Researcher Up to £140k+ | Start-Up | ML | Python | Finance Python | Machine Learning | Quant Research | Trading | Finance | Research Pipelines | AI Tools | Hypothesis Testing | POCs | Exchanges | Mathematics |Do you want to join a fast-growing, heavily funded trading start-up right at the ground floor, where your research … formulas, models, and domain-specific approaches Analyses, models, tests, and ultimately recommends trading strategies Bridges the gap between a trading desk mindset and modern ML/Data Science practice Must-haves: Python ML frameworks & data science tooling Strong mathematical foundation Curiosity, scientific thinking, and the ability to build & test hypotheses ...

Glasgow_Bournemouth Delivery Unit project. This is an exciting opportunity to work with a global leader in financial services, delivering innovative AI/ML solutions to various prominent clients. Key Responsibilities: Formulating, designing, and delivering AI/ML-based decision-making frameworks and models for business outcomes. Measuring and justifying … value of AI/ML-based solutions. Collaborating and managing the team to perform effectively and engaging with multiple teams. Providing solutions to problems for the immediate team and across multiple teams. Developing and integrating innovative AI/ML models that drive business insights and enhance decision-making processes. Conducting ...

Python and SQL to process and analyse data Support exploratory data analysis to identify trends, patterns, and insights Assist in developing and testing basic machine learning models Help build dashboards and visualizations using tools such as Power BI Test and validate data pipelines to ensure accuracy and reliability ...

architect will provide technical leadership to data engineering and analytics teams and ensure the platform supports enterprise reporting, advanced analytics, and AI/ML initiatives. The ideal candidate should also have exposure to AI/ML data platforms and experience in the hospitality domain, supporting systems such as reservations, guest … Snowflake performance, workload management, and cost governance. Establish data governance frameworks including access control, data security, and compliance standards. Design and support AI/ML-ready data architecture for advanced analytics and predictive modelling. Provide architectural guidance to data engineering, BI, and analytics teams. Design architecture to support data consumption ...

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles ...

embedded within core business platforms. What you'll be doing Defining enterprise AI architecture strategies for financial services clients. Designing scalable AI platforms and ML infrastructure integrated with enterprise data systems. Architecting **end-to-end AI pipelines**, from data ingestion through to model deployment. Leading engineering teams across AI, machine … Typical platforms and technologies include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms ...

including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for our go-to infrastructure partner to join our team and get on board this … Terraform, CloudFormation) across AWS (must have deep experience), GCP, or Azure. • Architect and maintain highly available, fault-tolerant systems that support our AI/ML workloads, web applications, and data pipelines. • Manage containerization and orchestration platforms (Docker, Kubernetes, ECS) to support microservices and ML model deployments. CI/CD & Automation ...

working in consulting, private equity, financial services, or complex enterprise environments Right to work in the UK Desirable Skills & Experience Exposure to AI/ML concepts (e.g. machine learning models, NLP, RPA, decision intelligence) Experience with data platforms, cloud ecosystems, or analytics tools Knowledge of post-merger integration ...

advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they’re scaling globally — and need a world-class Lead … experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact ...

including machine learning models, large-scale data pipelines (PySpark), and production-grade deployment architectures within Foundry’s ecosystem. Evaluate and select optimal ML and data technologies, frameworks, and platform components within Foundry and compatible cloud environments. Establish best practices, governance, and architectural standards for AI and data science … Foundry-based AI solutions. Lead review and troubleshooting of system architecture, AI performance, reliability, and data pipeline health on Foundry. Stay informed of AI, ML, data engineering, and Foundry platform advancements, championing adoption of innovative solutions. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

want to build AI products used by millions of consumers globally? Have you deployed production AI systems that combine LLMs with traditional ML? Are you ready to work at the intersection of beauty, retail and applied AI? A globally recognised direct-to-consumer beauty brand is hiring an AI/… ML Engineer to join its London-based data team. The company is one of the fastest-growing prestige beauty brands worldwide and has built a strong in-house technology capability, using AI across customer experience, product recommendations and internal operations. Their data and AI team owns the full value chain ...

live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning … optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong ...

evaluating emerging technologies and guiding production deployment of AI solutions. Requirements for the Senior AI Engineer STEM degree with 5+ years delivering AI/ML solutions in industry. Proven track record building and deploying production AI systems at scale. Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit … Learn, JAX, XGBoost, OpenCV and Transformers. Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment. Strong stakeholder communication skills Nice to haves: Experience in industrial/energy environments, enterprise AI platforms (Azure ML, Foundry, Databricks) or agentic AI systems This ...

organisational structures that enable data democratisation. D&AI Use Case Development & Value Realisation : End-to-end advisory from identifying high-potential AI/ML opportunities to developing business cases, prioritising implementation roadmaps, and establishing ROI measurement frameworks to track and demonstrate value. D&AI Architecture & Platform Advisory : Combining architectural assessments … data and/or AI strategy and operating model disciplines, having been responsible for developing and delivering strategic data and/or AI/ML initiatives and defining optimal organisational structures for the Data & AI functions either within a wider technology function or a business unit. Experience of helping organisations ...

with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models ...

will be doing As a Senior Data Scientist in our London office , your role will encompass: Designing and implementing advanced data science and machine learning solutions to solve complex business problems. Taking ownership of project streams, from defining technical deliverables and timelines to presenting updates to client steering … stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency ...

Management (EDM) frameworks Experience with data governance, lineage and metadata management tools Exposure to multi-cloud environments (Azure or GCP) Experience supporting advanced analytics, machine learning or AI data platforms As part of a leading global analytics and digital solutions company, you can look forward to: A competitive … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

cases aligned to business drivers Define delivery phases, resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender … search, embeddings) ✅ What We’re Looking For Proven experience in pre-sales, AI architecture, or technical bid writing Strong capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management ...

. Working on Software solutions with a technical stack around ,C# .NET, Python, SQL, APIs, Azure, Power Platform and SaaS/PaaS AI/ML experience: Not required but significant differentiator Must demonstrate understanding of AI principles and risks Generative AI heavily used in prototyping Experience of taking new business ...

understanding of (Intune, Workspace ONE, JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts , including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering ...

enhance automation, measurement, and personalization across global marketing campaigns on platforms. What You’ll Do Drive product development across data, automation, and AI/ML capabilities to support marketing scalability and efficiency. Collaborate with engineering, data science, and analytics teams to deliver robust measurement and optimization tools. Translate complex technical … Computer Science, Engineering, Data Science, or equivalent experience. 5+ years of product management experience, ideally in marketing platforms, data products and AI/ML applications. Strong technical acumen with experience in data engineering, workflow orchestration, and machine learning operations. Excellent communication skills with the ability to influence cross ...