1,126 to 1,150 of 1,345 Machine Learning Jobs in the UK

reference architectures, and go-to-market offerings What We’re Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building … FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations ...

Role: AI/ML Computational Science Manager Location: Glasgow Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these … industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team, you will: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

Role: AI/ML Computational Science Manager Location: London Salary: Competitive salary and package dependent on experience Career Level: Manager (CL7) Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these … industries, including Financial Services, Resources, Products, Communications and Health & Public Services. In our team, you will: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying ...

highly valued. Exceptional Communication Skills: Excellent written communication skills with the ability to explain complex concepts clearly, concisely, and accurately. Experience with AI/ML Feedback: Familiarity with providing structured feedback for AI models or large language models. IV. Personal Attributes & Soft Skills Meticulous & Detail-Oriented: An unwavering commitment … high standard for quality. Pedagogical Aptitude: A natural ability to explain concepts in an easy-to-understand, step-by-step manner, considering different learning styles. Analytical & Critical Thinker: Capable of critically evaluating information, identifying logical flaws, and applying analytical reasoning to solve problems. Organized, Efficient & Proactive: Able to manage ...

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 ...

opportunity, more challenge, and more impact through high‐value, innovative programmes. Build strong relationships with a diverse range of stakeholders. Gain access to extensive learning and development opportunities. Collaborate closely with teams across the business to bring products to life. The Role As a Senior Full Stack Developer … pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Rewards & Benefits TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary ...

based on user feedback Strong problem-solving skills and ability to work independently with minimal supervision Nice-to-have Bonus: Experience with AI/ML systems, LLMs, or working in regulated industries (fintech, compliance, etc.) Bonus: Experience with high-scalable AWS architecture Our tech stack NodeJS/Typescript NextJS Python … actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognising the value of learning from others and adapting to change. Budget Base salary £60k-£90k Equity: 0.5-1.0% Negotiable, depending on preferences The interview process ⏳ We are seeking ...

production. Work with teams across the business to define problems, test ideas, and measure impact. Prepare data and develop models using both classical ML and generative AI. Integrate AI into digital products through services, APIs, and safe, compliant guardrails. Manage model life cycle and MLOps while sharing best practices … Skills and Experience The successful AI Engineer will have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such ...

Lead AI Engineer Experience: 12+ years total; 3+ years in AI/ML/GenAI (production-grade) About the Role Were looking for a Lead AI Engineer to own the delivery of GenAI and agentic systems end-to-endfrom research prototypes to secure, observable, scalable production systems. You will … windows, and hosting strategies; manage budgets and efficiency. Required Qualifications 12+ years overall software engineering experience with 3+ years hands-on in AI/ML/GenAI, including production deployments. Strong system design and scalable architecture skills for AI-first applications and platforms. Hands-on expertise with LLM orchestration frameworks ...

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 ...

solutions used across digital products, marketing, CRM, and operations. This is a hands‐on, senior technical role where you’ll work across the ML lifecycle - from early experimentation through to deployment, monitoring, and ongoing optimisation. You’ll collaborate with senior stakeholders and influence how AI is applied across the organisation. … Responsibilities Lead the design and development of production‐grade AI systems and services. Build and deploy classical ML models and LLM‐powered solutions. Develop APIs, integrations, and pipelines to embed AI into apps, CRM journeys, and internal tools. Own the full model lifecycle: deployment, monitoring, evaluation, retraining. Partner with Product ...

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 ...

Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … level. Project management experience. Qualifications Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

will have hands-on experience with frameworks such as LangGraph and a strong understanding of the practical implementation and deployment of agentic AI/ML solutions. Key Responsibilities: • Design, build, and deploy agentic AI systems, leveraging modern frameworks. • Develop and maintain scalable AI workflows using LangGraph and related tools. • Collaborate … integrate AI agents into real-world applications. • Write clean, efficient, and testable Python code. • (Optional) Apply data science techniques to train and fine-tune ML or deep learning models. Required Skills: • Strong proficiency in Python and related libraries. • Experience with agentic AI architectures and autonomous AI agents. • Hands ...

engineers to deploy features end-to-end What they’re looking for New Grad/Early Career, ideally MSc or PhD in CS/ML/NLP (or related) Strong applied ML research background, ideally with publications in top venues such as: NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI (added bonus ...

RBAC governance frameworks. Strong problem-solving skills and a structured, analytical mindset. A background in Facilities Management or Property would be desirable. Exposure to ML lifecycle and deployment, ideally with Azure ML or similar platforms. What’s in It for You: Work in a growing data team with a meaningful ...

PowerBI, Tableau, Looker,... Background in Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. ...

London (2 days onsite) Contract: 6 Months (OIR35) Rate: £400-500 p/day Key Skills: Strong commercial experience as an AI Engineer/ML Engineer/Applied AI Scientist Advanced Python experience for ML and AI development Hands-on experience with LLMs & Generative AI , including: Retrieval-Augmented Generation … pipelines using vector databases to ground LLM responses Build and optimise NLP pipelines for sentiment analysis, intent detection and document understanding Deploy AI/ML models into production using cloud-native architectures Implement MLOps best practices including CI/CD, monitoring, observability and evaluation Work closely with engineering, product ...

scale. Lead projects from initial concept through deployment, continuously measuring and optimizing performance metrics. Required Skills: Minimum 2 years of experience in AI/ML engineering or research. Proven track record of executing AI/ML projects from start to finish, with measurable impact on key business metrics. Proficiency … Ability to work remotely up to 30 days per year. Willingness to participate in company offsites and team-building activities. Passion for innovation, continuous learning, and solving challenging problems alongside a motivated team. Think you have what it takes to transform the future of claims processing with AI? Apply ...

technical designs and overarching technology strategy provide an optimal balance between cost, risk, time to value, and all other considerations, for AI solutions and ML platform development. Tell me more, tell me more... Our client is currently looking for a new recruit in joining their team, please read … Design Decision) process for IMS products, supporting rapid auditable decision-making and conformance to Group standards for reusable components, design patterns, and ML models Experience and knowledge of technical approach to model development and contemporary ML engineering, including 3rd party platforms, routes to live and CICD pipelines for MLOps ...

death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity Own the cloud platform that powers Onsera Health's breakthrough healthcare … secure product delivery across all our global engineering and AI teams. You will be in the central seat across all our deliveries including data, ML, LLM, agentic AI, and applications. Responsibilities Own GCP infrastructure – Operate and evolve production and non-production environments; manage cost visibility, quotas, and alerts; maintain clean ...

trends and tools, including GenAI, LLMs, and agentic systems, to inform client strategies Translate business needs into technical solutions: prototype, build, and train ML/DL models, including generative AI systems Contribute technical expertise to project roadmaps, proposals, and PoCs, collaborating with Data and AI Engineers on full lifecycle delivery … responsible, ethics-driven AI practices What we’re looking for: Proven client-facing experience with strong stakeholder management Proficiency across Python or Java, ML frameworks (TensorFlow, PyTorch, scikit-learn), and cloud AI services Knowledge of agentic tools such as LangChain Agents, AutoGPT, and CrewAI, plus familiarity with GenAI/ ...

Consumer Marketplace/App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core … interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/ ...

cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. Deploy and monitor ML models in production environments using Vertex AI, Docker, and Kubernetes. Required Skills & Experience Strong proficiency in Python for AI/ML workflows . Strong proficiency … . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ML models at scale. Experience moving LLM-based prototypes into production environments with thousands of users. Background in building internal tooling, CRM enhancements, or sales-tech ...