801 to 825 of 1,230 Machine Learning Jobs in England

Tableau capability (data preparation, analytics, visualisation) Strong statistical knowledge (distributions, regression, clustering, anomaly detection) Experience preparing structured and unstructured datasets for AI/ML applications This role sits between Surveillance Specialist and Surveillance Lead - offering immediate ownership and delivery responsibility, with a clear pathway into formal leadership as the function ...

shaping the future-state architecture across a complex, multi-country organisation undergoing significant transformation (ERP, SAP S/4HANA, MES, Data Platforms, AI/ML). You will operate at the executive level, influencing business and technology strategy across supply chain, manufacturing, commercial, and corporate functions. Key Responsibilities Define ...

C# (You'll learn software engineering from the senior R&D engineer, who'll learn R&D from you!) Practical understanding of AI/ML landscape (LLMs, APIs, strengths & limitations) Strong analytical thinking and structured evaluation skills Excellent written communication — clear, concise, decision-ready outputs Self-directed working style with ...

data frameworks (DAMA-DMBOK, NIST AI RMF, ISO 23894, ISO 27001, GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

project management capability across Agile and Waterfall delivery models Experience presenting technical solutions to both technical and non-technical stakeholders Understanding of AI/ML technologies and the AI development lifecycle Hands-on experience with tools such as Jira for tracking delivery and requirements Strong stakeholder management skills across cross ...

creating content Located in or travels to key financial hubs Areas of Sector Expertise AI, SaaS & Enterprise Software ( AI, AI infrastructure, AI/ML, model optimization, developer tools, enterprise software, SaaS, B2B SaaS, compliance SaaS, digital platforms, automation) Climate, CleanTech & Industrial Sustainability (Climate tech, cleantech, greentech, industrial decarbonization, renewable energy ...

Communication: Clear, compelling communicator able to generate alignment and energy, even in challenging decision scenarios. Data Savvy: Solid understanding of customer data, AI/ML capabilities and data platforms; technically curious with awareness of emerging trends. Proactive & Pragmatic: Self-starter with strong judgement, able to deliver clarity in ambiguity, make ...

BigQuery, Dataflow, Pub/Sub), Salesforce Data Cloud, and data modelling. Strong background in data ingestion, transformation, and orchestration frameworks. Experience with AI/ML operationalisation, preferably with Vertex AI. Ability to assimilate complex legacy systems and streamline them into efficient new architectures. Excellent consulting and communication skills, capable ...

Build integrations with existing systems (HR systems, CRMs, workflow tools, document repositories, etc). Key Skills & Experience Strong background in AI Engineering , automation engineering, ML/LLM application development, or intelligent workflow design. Expert hands-on experience with ChatGPT Enterprise (mandatory). Ability to design prompts, guardrails, and workflows that ...

someone with experience across: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks They are in a great position ...

solid ROS2 experience * Strong understanding of kinematics, estimation, optimisation, geometry and transformation management (TF2) Desirable experience includes semantic mapping, distributed systems, DDS middleware and ML-driven scene understanding. This role would suit a senior engineer who enjoys solving complex spatial problems, influencing architectural direction and seeing their work deployed ...

production systems Comfortable with infrastructure (K8s, cloud platforms), backend (Python, FASTapi) and front-end (React, TypeScript) Hands-on experience with modern AI/ML frameworks and deployment patterns, including GenAI Track record of shipping products that scale to thousands of users Additional benefits: ▪ Competitive base salary and benefits ▪ Meaningful upside ...

physical hosts, and with containerised applications). Demonstrated ability to shape technical direction and deliver complex systems. Desired Experience: Exposure to AI/ML development or model-based engineering. Experience working in high-assurance, secure environments. Multi-cloud and hybrid infrastructure knowledge. Soft Skills & Behaviours: Self-directed; able to operate ...

patterns, artefact registries, secrets management, observability Architecture: Distributed systems, API contracts, interface control, performance & resilience engineering Plus (nice‐to‐have): Exposure to AI/ML pipelines or model‐based engineering in secure contexts What you’ll bring Proven background as a Lead Software Engineer/Technical Delivery Lead in high ...

clients. You will take a leading technical role in shaping high-impact solutions, working within a collaborative engineering team and a culture that prioritises learning and technical excellence. The Company They are a specialist Data and AI consultancy operating across the UK and internationally. Their work focuses on large … high complexity and involve building systems that are deployed across entire businesses. They maintain a tech agnostic approach and support continuous development through structured learning initiatives and dedicated training budgets. The Role Act as the technical lead on AI engineering projects, guiding design and implementation. Work hands on across ...

strategies What we're looking for from you: Strong and significant software engineering experience (C++, Java or similar) Solid background in data science and machine learning research, or statistical modelling Experience developing and prototyping novel systems or approaches Ability to take research concepts through to practical application … adaptable and continuous learning mindset Strong problem-solving skills and research-oriented mindset Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces ...

progress and earn more money? Look no further. Join a well-established global business that are experts in technology recruitment, with specialisms in AI & machine learning, software and semiconductors markets. When you join, you’ll receive structured training, hands-on mentoring, and the autonomy to grow your … with clear promotion routes Brand new office space with an office bar Birthday off work using no annual leave Company iPhone and laptop Dedicated learning & development team The Role: Sourcing and headhunting top-tier candidates Building and managing candidate relationships Supporting senior team members on active mandates Working closely ...

Data Science to develop a growing team of data scientists and set the technical direction for data initiatives. This role will involve transitioning towards machine learning engineering, ensuring model ownership from … research to deployment, and collaborating with senior stakeholders across multiple domains. Ideal candidates have proven leadership in data science and a strong background in ML model deployment. This role offers a competitive salary in a dynamic environment. #J-18808-Ljbffr ...

CVPR, ICCV, or ECCV and is eager to apply that experience in a fast-paced, applied R&D environment. Requirements PhD in Computer Vision, Machine Learning, Robotics, or a related field. Strong research background in object detection, tracking, segmentation, or visual understanding, VLM's, VLA's Proven record … publications in CVPR, ICCV, ECCV, or comparable conferences. Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. 1-3 years industry experience. What We Offer Competitive salary and equity package. Access to high-performance computing infrastructure. Opportunities for publication, collaboration, and attending top-tier conferences. ...

Architect, design, and develop critical systems for factory automation, real-time data processing, and user experience. Own full-stack development across infrastructure, backend services, machine learning, UX, and real-time monitoring. Work directly with leadership to identify bottlenecks and build software solutions that improve factory operations. Deploy … iterate software rapidly on-site, integrating directly with production processes. Lead projects from conception to deployment, ensuring fault-tolerant systems in demanding environments. Optimize machine tool utilization and manage orchestration across multiple production facilities. What they're looking for 2–5 years of full-stack software development experience, exceptions ...

React.js. RESTful API services. MySQL/PostgresSQL. Useful experience React Native. Serverless/Lambda Version control - Git AWS cloud/CDK Jest AI/ML EDI What you'll be doing You will be working on a platform with powerful ordering and self-serve features that streamlines customer service … better experience on any device. The product is already extremely successful and there are plans to introduce new features including native apps, forecasting and machine learning as well as AI. Joining a team of 5, the role covers two main aspects: development of new features and support ...

biggest construction projects make faster, more confident, data-driven decisions. By combining one of the world’s largest datasets of project plans with advanced machine learning, we forecast project outcomes and reduce risk — reshaping how major projects in construction and infrastructure get built. The Role We are looking … smart bets, balancing an existing product with new experiments. Nice to Have Experience in construction, infrastructure, or built-environment industries. Familiarity with AI/ML products and how to market technical capabilities to non-technical buyers. Previous experience expanding an ICP into adjacent segments. Experience at a startup or scale ...

development and roadmap priorities Ideal Candidate Experience 10–15+ years of enterprise software sales experience Proven success selling deep tech, infrastructure software, AI/ML platforms, developer tools, or cloud solutions Track record of building and scaling regional sales teams Experience closing complex, multi-stakeholder enterprise deals Leadership Demonstrated ability … scale high-performance sales teams Strong strategic thinking combined with hands-on execution Domain Exposure (Preferred) Quantum computing HPC/advanced computing AI/machine learning infrastructure Developer platforms or technical SaaS Personal Attributes Entrepreneurial mindset and ability to operate in a fast-growing startup environment Strong executive ...

data, risk, and product to shape the future of our lending strategy. What You'll Do As Senior Decision Scientist Build and deploy ML and statistical models for credit risk, affordability, and pricing Own the full model lifecycle (data, features, modelling, validation, deployment, monitoring) Develop monitoring frameworks and performance dashboards …/B testing) Translate complex models into clear, actionable business insights Requirements What We're Looking For From Senior Decision Scientist Strong experience in machine learning within lending (SME essential) Proficiency in Python & SQL Proven end-to-end model development experience Background in fintech and automated decisioning environments ...

required to achieve SC clearance in this role, if you have it already that is ideal. Key Responsibilities Develop and optimise AI/ML models for edge devices Integrate sensor data into Convolutional Neural Networks (CNNs) Design and implement Digital Signal Processing (DSP) pipelines Develop and maintain microcontroller software … engineers to ensure seamless system integration Optimise performance for low-power, resource-constrained environments Required Skills & Experience Strong experience in Edge AI/Embedded Machine Learning Proven knowledge of integrating sensor data with CNNs Solid understanding of Digital Signal Processing (DSP) techniques Knowledge or experience with mesh networking ...