876 to 900 of 1,076 Machine Learning Jobs in England

About the Role This is an excellent opportunity for a hands-on Senior Software Engineer with strong Python skills and some applied AI/ML experience to support the development and deployment of intelligent engineering solutions within a world-class aerospace and industrial environment. You will work as part … through high-quality, scalable software. What You'll Be Doing Software Engineering & Technical Delivery Develop, deploy, and maintain software solutions that integrate AI/ML functionality. Build robust, high-quality Python applications used within engineering workflows. Contribute to the design and implementation of data pipelines and data storage solutions. Support ...

Role: Full Stack Commerce Engineer (Generative AI/ML) Location: London, UK Salary: Competitive salary and package dependent on experience Career Level: Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, song, technology and operations, with digital capabilities across … integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to structure and enrich data for PXM, CDP, and other systems. Manage Advanced Databases : Design ...

working with one of the UK's fastest-growing, well-funded tech start-ups, is hiring Multiple Data Engineers/Data Scientists/ML Analysts to join our cutting-edge team in London. We're on a mission to scale rapidly – with plans to grow by 40 heads this year ...

supported by a rigorous quantitative education or equivalent professional background in STEM. Strong capabilities in programming languages and Python libraries for analytical insight and ML platforms Deep knowledge of ML principles with experience in delivering complete ML solutions from development through to deployment. Practical experience delivering data engineering solutions, including ...

grade” really looks like - reliability, observability, safety, evaluation, failure handling During non-training weeks, working as a senior IC on internal AI engineering/ML projects 🎯 What They’re Looking For A senior AI/ML engineer with real deployments, excellent communication skills and a passion for teaching. Required experience ...

Expertise: Proven experience in client-facing analytics leadership roles (preferably in healthcare or public sector). Strong knowledge of data platforms (Azure), AI/ML frameworks, and visualization tools. Expertise in stakeholder management, solution architecture, and project governance. Understanding of Responsible AI, data ethics, and regulatory compliance. Excellent communication, presentation … into actionable analytics strategies. Drive account growth through consultative selling and solutioning. Analytics & Technical Leadership: Oversee design and delivery of advanced analytics, AI/ML models, and data-driven solutions. Guide technical teams on architecture, data engineering, and model development best practices. Ensure compliance with data privacy, security, and regulatory ...

communication skills in both writing reports and giving presentations Knowledge and application of the key digital technologies such as data science or AI/ML Signal processing (such as audio, image, video processing) and information processing (raw data or structured data) Effective algorithm design and implementations, and importance of verification … week in which to attend Manchester Metropolitan University. For the other 4 days you will be working in the business, applying your university learning and gaining a breadth of experience within the software function. At the end of the apprenticeship you will be working as an Algorithm engineer within ...

product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. Role Overview: Experienced Technical Architect … caching, high-speed data access) Elasticsearch (search and indexing strategies) Other modern data technologies for fast storage and retrieval. Strong knowledge of AI/ML integration within enterprise architectures. Expertise in data modelling, distributed systems, and microservices architecture. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes ...

available systems Bonus Skills: Event driven architecture and distributed system design Solid understanding of CI/CD practices and tooling Experience operating or integrating ML models , ideally using GCP Vertex AI Automation testing to help QA engineers focus on coverage rather than manual validation Terraform, GCP Build, GCP Deploy DataDog … exceptional products that support our customers. Why choose Smoothwall by Qoria? In this role, you can expect: Employee Share Scheme Generous Holiday Allowance Tech & Learning Allowance ...... and much more More importantly, you’ll: Deliver tech with purpose... We’re only as good as our latest release. ...

advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D value chain. The leader partners with RDLT, TES LT, I&T, and external innovation ecosystems to identify and apply disruptive … compliance, and user adoption Establish metrics to measure the impact of digital interventions on cycle times, quality, and outcomes Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia Build internal capabilities and talent pipelines for digital and analytics functions Ensure that all AI, automation, and advanced analytics ...

reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data … Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly ...

reporting to help the business understand its own data Collaborate closely with Product, Finance, Customer Ops and the senior leadership team Evaluate where ML/AI can enhance the core SaaS platform Present insights and model outputs clearly to non-technical stakeholders (including board/NEDs) Influence how the data … Scientist with experience in FS/fintech or regulated environments Confident working with Python, SQL and Databricks Capable of building predictive models, scorecards and ML components Comfortable creating dashboards/MI to support internal understanding Excited by a startup environment where you'll wear different hats Able to communicate clearly ...

lead the transition from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a "Full Stack" Partner: While the backend/data … applications using Foundation Models/LLMs. You understand context window management, prompting strategies, and how to chain models together to achieve reliable results. True ML Fundamentals: You aren't limited to APIs. You have a background in training and evaluating models (TensorFlow/PyTorch/Keras/Scikit-learn ...

initiatives that power discoverability, recommendations, and pricing across multiple marketplaces. As Senior Product Manager you’ll sit at the intersection of product, ML, and data engineering, leading important AI/ML initiatives while shaping team processes, infrastructure, and long-term product strategy. This is a chance to scale existing …/ML capabilities, productionize proofs-of-concept, and influence strategic initiatives at board level. Why this role is special: 🚀 Lead the first Data Enablement team, scaling AI/ML products with significant business impact 📊 Full ownership of capabilities that drive discoverability, recommendations & pricing decisions 🧠 Collaborate across ML engineers, data engineers ...

Senior Full Stack Python Developer – London (On‐site) Python, AWS, React, Docker, Terraform Join a fast growing startup redefining the future of education with ML‐powered learning who are on a mission to make high‐quality, personalised education accessible to everyone. Their flagship product is a mobile app helping … Design and build a high‐scale system serving millions of users • Create robust CI/CD pipelines to support rapid iteration • Collaborate with ML engineers to develop data pipelines and deploy models • Analyse large datasets and build real‐time recommendation systems • Work with diverse data types — text, video, images • Partner ...

Senior AI/ML Engineer Location: Croydon or Manchester, UK Type: Hybrid – 2 days per week Salary: Up to £85k I'm seeking an experienced Senior AI/ML Engineer to join a high-performing, multi-disciplinary technology team building cutting-edge intelligence and data products. You'll work with … services. Apply deep expertise in one or more of the following: NoSQL databases (e.g., DocumentDB, MongoDB) RDF/graph technologies (e.g., GraphDB) AI/ML platforms (e.g., SageMaker, Bedrock) Search technologies (e.g., Solr, OpenSearch, Elasticsearch) Cloud-based data pipeline engineering (AWS) Produce clean, testable, maintainable code that supports incremental innovation. ...

impact in language learning. Busuu's vision is to empower people through languages. We are the world's largest online community for language learning, with 120+ million registered users. We make learning a language easy by combining AI-powered courses with feedback from our global community of native … event systems. A problem-solving mindset, comfortable taking ownership and learning new things on the fly. Nice to have Experience supporting AI/ML workloads (model deployment, scalability, observability). Expertise in database performance tuning. Experience working remotely in distributed teams. At Busuu we want to ensure that ...

Senior Data Engineer - ML and AI Platform Engineering Location: London - Hybrid - Monday to Wednesday in office Salary: £70,000 to £80,000 Dependent on Experience Ref: J13026 We are working with an AI first SaaS business that transforms messy first party data into trusted, decision ready insight. They are scaling … building an engineering team where you will be heard, supported, and given real space to grow. If you enjoy building production grade data and ML pipelines, and want a culture that genuinely backs your development, this is worth exploring. What you’ll be doing Building, shipping, and owning cloud-native ...

/ML Engineer – Outside IR35 – Hybrid (2–3 days in Marble Arch) – 6 Months One of our private equity clients in the UK are searching for a hands-on AI/ML Engineer to help bridge deep technical capability with business-facing problem solving. They are exploring new ways … messy business problems into concrete AI pipelines and prototypes that will inform major strategic decisions. You Will: Act as a hands-on AI/ML engineer embedded directly in the business problem space Take ambiguous business challenges and refine them into real, provable AI use-cases Prototype solutions quickly, demo ...

hunger for learning new technologies and approaches. Desirable Skills (but not essential): Experience with cloud platforms (AWS preferred). Familiarity with AI/ML concepts or tools. Understanding of agile development practices. Experience with AI-assisted coding tools (Cursor, Copilot, etc.). What Makes This Role Special: Tech-forward … operations and strategy. Growth trajectory: Clear path from individual contributor to technical leadership. Learning culture: Exposure to cloud infrastructure, data science, AI/ML, and modern development practices. Autonomy: Own your projects from concept to deployment. Ideal Candidate Profile: 1-5 years of relevant experience. Self-starter who thrives ...

Position Summary: My client is seeking an experienced Data Scientist to join their technology team. The role focuses on validating and improving AI/ML models used in operational and infrastructure applications. The ideal candidate will have hands-on experience in model validation, data analysis, and working with large, complex … datasets in production environments. Key Responsibilities: · Design and implement validation frameworks to ensure AI/ML models meet performance, accuracy, and reliability standards. · Conduct experiments and analyse model outputs, providing actionable insights to improve model performance. · Develop automated testing pipelines to streamline model validation processes. · Collaborate with Data Engineers, ML ...

business. The Role This is an exciting opportunity for a commercially minded Data Scientist to take ownership of end-to-end modelling and ML pipeline development within a fast-paced, consumer-focused organisation. You’ll lead impactful work across the full lifecycle — from exploration and predictive modelling to deployment … teams to deliver scalable, high-value solutions. Key attributes of the suitable Data Scientist include: Strong technical foundation in Python, SQL, and cloud-based ML workflows, with experience building and deploying end-to-end predictive models. Exposure to MLOps or ML engineering practices , including pipelines, CI/CD, model monitoring ...

Siena Partnership are working with a leading financial services organisation is seeking a Senior Full Stack AI/ML Engineer for an initial 6-month contract . This role focuses on taking AI models built by a third-party provider and turning them into robust, production-grade systems , while helping … establish a long-term internal AI/ML engineering capability. What you’ll do Deploy and operationalise AI/ML models into live production environments Build observability, monitoring, and continuous evaluation to manage model performance and drift Design and implement CI/CD pipelines for scalable, reproducible model delivery Optimise ...

implement AI workflows and models for performance and scalability. Build solutions using LangChain for agent-based and RAG systems. Optimize and scale AI/ML models for efficiency. Apply prompt engineering techniques to improve AI outputs. Collaborate with cross-functional teams to translate business requirements into technical solutions. Communicate technical … insights and findings to stakeholders. Stay updated on AI/ML advancements and best practices. Your Profile Key skills/knowledge/experience: Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. Hands-on experience with AI concepts such as Vertex AI, Gemini, Azure OpenAI, and Cloud ...

engagement Design and oversee GenAI and Agentic AI solutions, including multi-agent systems, orchestration, and evaluation frameworks Guide the use of LLMs, ML models, and scenario-modelling techniques to support pricing and decision-making use cases Define cloud-native AI architectures on GCP and/or Azure, ensuring scalability, security … data governance, and ethical AI standards Support integration with existing enterprise platforms, workflows, and automated processes Required Experience 6–8+ years' experience in AI, ML, or advanced analytics, with recent focus on Generative AI and Agentic AI Proven experience designing and delivering enterprise-scale AI architectures Strong hands-on experience ...