1,126 to 1,150 of 2,827 Machine Learning Jobs in England

environments with diverse stakeholders Knowledge of DevOps, CI/CD, and continuous improvement practices Demonstrated success in innovation and emerging technologies, including AI/ML Proven ability to build and lead high‐performing teams Leadership & Personal Attributes Inspiring leader with strong stakeholder management and communication skills Commercially aware, strategic ...

least 3 years in a technical lead role delivering enterprise-grade process automation. AI Implementation Track Record: Proven experience utilising existing AI/ML technologies to transform business processes and mitigate LLM-specific risks (e.g., prompt injection and data leakage). Leadership Interfacing: Demonstrated experience engaging with Senior Leadership ...

technical engine of our Innovation team, working directly with highly regulated clients to help them transform their operations using advanced AI/ML technologies. You will be an embedded builder who bridges the gap between frontier AI products and production‐grade reality within customers. Unlike traditional advisory roles, you will ...

risk, or electronic market making models. Database interfacing, data management and (pre-)processing (kdb, q, SQL). Experience of working with tensorflow and other ML packages. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments ...

data and AI programmes end to end • Experience leading multi‐disciplinary delivery teams across several workstreams • Experience in environments spanning data platforms, AI/ML deployment, integration, and analytics || | • Strong stakeholder engagement and executive communication skills. • Ability to navigate ambiguity, drive clarity, and make informed decisions quickly. • High emotional intelligence ...

cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. ...

technical scopes, then collaborate closely with engineering leads to design the right solutions. Champion our core user personas (Data Engineers, DevOps, Enterprise Developers, ML Engineers) and prioritize solving their biggest pain points, from clunky integrations to slow deployment cycles. Run a consistent pipeline of user interviews with technical stakeholders ...

finance source systems (ERP, EPM, sub‐ledgers, and consolidation tools) into governed, analytics‐ready models. Design the finance data foundations for applied AI/ML: governed retrieval sources for RAG, feature stores, and the architecture that keeps AI systems fed with trustworthy, reconciled finance data. Set patterns for secure, compliant ...

clustering, NLP) Model lifecycle management (training, validation, monitoring) Translating legal and business problems into analytical use cases Understanding limitations and risks of statistical and ML models Large Language Models (LLMs) and GenAI patterns RAG architectures, agentic workflows and orchestration AI service integration via APIs and model abstraction layers Runtime guardrails ...

internal engineers on modern AI development workflows and best practices. Qualifications What We’re Looking For 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development. Demonstrated experience building and shipping enterprise-grade AI products. Deep familiarity with modern AI stacks (LLMs, RAG systems ...

Posted on 26/11/2025 We provide end-to-end IT solutions and services including Applications services, Data & Analytics services, AI/ML Technologies and Professional services in the UK and EU market. Job Description Role Summary We are seeking an experienced Test Manager with strong General Insurance ...

Software Engineering team at CoMind spans the full stack of a regulated medical device company from embedded and real-time systems through application software, ML inference, GUI, DevOps, and test engineering. It is a team that builds across every layer, working to medical device software standards and shipping software that ...

across the organisation, mentoring and uplifting QA capability globally. Key Skills and Competencies Strong understanding of the testing and quality challenges of non-deterministic, ML/LLM-based, and agentic systems, including evaluation, guardrails, and the regression of model-driven behaviour. Proven experience defining and implementing QA strategy ...

feedback, reviews) to discover patterns that shaped product decisions. Experience working closely with Product and Engineering teams. Hands‐on experience working with AI/ML-driven products (LLMs, ranking, generation, recommendations). You have worked on these systems, not just alongside them. Skillset Strong applied modelling skills: regression, classification, clustering ...

Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such as AutoGen, Langflow, Tensorflow Knowledge of Infrastructure as Code, CI/CD Use of Middleware and RESTful ...

concrete, platform-wide technical roadmap Nice to Have Experience with event technology, SaaS platforms, or B2B applications Experience building data infrastructure that directly feeds ML models or AI agent systems Familiarity with prompt engineering, fine-tuning, or AI model optimisation Real-time systems, WebSockets, or live data pipelines Experience with ...

executive audiences Collaborate across globally distributed teams with awareness of time zone considerations and asynchronous work patterns Guide teams in embedding AI/ML features—prompt engineering, model inference, feature pipelines—into platform services Contribute to technical planning, architecture decisions, and incident retrospectives Platform & Product Mindset Apply product thinking ...

track time and bill for hours worked on customer projects. Assist sales and sales engineering on technical prospect calls when required. Leverage AI/ML capabilities to enhance integration frameworks, solution design, system automation, and operational efficiency. Support the responsible use of AI-driven approaches in cloud-based solutions, DevOps ...

Almedia, located in Greater London, is seeking a Principal Machine Learning Engineer who will take ownership of complex ML challenges across our products. The successful candidate will drive technical direction and oversee high-impact ML systems from conception to implementation. The ideal candidate should possess deep expertise ...

JPMorgan Chase's Chief Data & Analytics Office (CDAO) invites applications for an Applied AI ML Director – NLP/LLM and Graphs. This role will apply sophisticated machine learning methods to NLP, graph analytics, speech analytics, time series, reinforcement learning and recommendation systems. You will collaborate with diverse ...

About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will … deploying recommender systems, contextual bandits, or network intelligence applications. Experience in fintech, payments or similar domains. Experience with Docker, AWS/GCP, and modern ML deployment practices. Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers ...

Prima is seeking a Senior Machine Learning Engineer to help shape the future of motor insurance. You will lead ML lifecycle practices, influence technology choices, and ensure production readiness of ML-driven features across Prima’s microservices landscape. You will work with a large engineering team, advancing cloud … native ML tooling, and mentoring others while keeping a strong focus on code quality, design patterns, and robust delivery. #J-18808-Ljbffr ...

Consultant in Bristol to lead the design and delivery of AI solutions for real-world business challenges. You will drive projects across traditional machine learning and Gen AI, collaborating with data engineers and client stakeholders. The ideal candidate has 5+ years of experience in AI and data science ...

Boston Dynamics is seeking a highly experienced Manager, Machine Learning to lead the Orbit team's ML engineers on advanced multimodal models for industrial inspection. You will design, build and continuously improve Orbit's AI systems, collaborating with software, product management and research teams. You will require BS+10y … MS+7y in CS/ML/Robotics, expert Python and CUDA/PyTorch skills, and a track record in computer vision and model fine-tuning. #J-18808-Ljbffr ...

leading electric vehicle manufacturer in Greater London seeks a Staff Software Engineer specializing in machine learning infrastructure. The ideal candidate will optimize deep learning performance on NVIDIA GPU systems and manage large-scale model training. Applicants should possess a PhD in Computer Science or equivalent experience … have substantial knowledge in PyTorch and deep learning frameworks. This role contributes directly to safety-critical self-driving technologies for innovative vehicles. #J-18808-Ljbffr ...