51 to 75 of 1,245 Machine Learning Jobs in the UK

What you will do as a Senior ML Engineer Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics. Own the ML lifecycle from data preparation through training, evaluation, and deployment. Implement and maintain MLOps workflows for continuous integration and delivery of ML models. … Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability. Contribute to architecture decisions for ML pipelines and data flows. Apply secure coding and configuration practices in line with compliance standards. Mentor junior engineers and share best practices across the team. Support innovation by researching emerging ML ...

communicate results clearly. What we are looking for:Strong ability to translate ideas into working solutions quickly Hands-on skills across: Python (data processing, ML, prototyping). Data engineering (APIs, data pipelines, SQL, cloud data). Lightweight app development (APIs, simple frontends, notebooks, dashboards). Solid (not necessarily extensive) knowledge … statistical/mathematical fundamentals that support and proposed ML methodologies . Experience building end-to-end prototypes, not just models. Comfortable working in ambiguous, fast-moving environments. Strong problem-solving and independent thinking. Nice to have:Experience integrating LLMs or AI services into applications Familiarity with modern data platforms (e.g. ...

fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a high-impact environment. The Role: We are lookinng for a Data Engineer/Database Developer (2–5 years’ experience) to join a growing data … This role is ideal for someone who enjoys owning the full data lifecycle — from database architecture and performance tuning to enabling advanced analytics and ML use cases. You’ll collaborate closely with engineers, data scientists, and stakeholders to deliver high-quality, efficient, and scalable data solutions. Key Responsibilities: Design ...

fast and accurate results • Designing and implementing agentic AI workflows powered by LLMs • Building and maintaining scalable data pipelines • Leading technical decision-making across ML and NLP projects Requirements • 8+ years of commercial engineering and/or data science experience • Experience in technical leadership or leading ML initiatives • Strong Python … programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits ...

learning, and AI techniques to solve complex, real-world problems Research, design, and implement innovative models and solutions Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support Deliver high-quality, scalable solutions with measurable impact Collaborate with multidisciplinary teams … Desirable Skills Experience working with text, audio, image, or video data Familiarity with cloud platforms (AWS, Azure, GCP) Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch) Knowledge of statistics and probability Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo) Understanding of Ethical and Responsible ...

Data Scientist – Up to 60k – Python – Machine Learning – SaaS Data Science | Python | Machine Learning | Statistical Modelling | Elasticsearch | SaaS | Insight | Commercial Impact | Leadership Do you want to work for a SaaS business where data is the competitive advantage, not a side function? A business that puts real … with Research & Insights, Technology, Product, Marketing, and Sales, acting as a trusted partner across the organisation. You’ll be working hands-on with Python, machine learning, and statistical modelling, delivering data-driven solutions with real, measurable commercial impact. Experience with Elasticsearch/Elastic is highly desirable, as data ...

been adopted by hundreds of chemists globally to accelerate drug programs in oncology, dementia, and inflammation . They are now looking for a seasoned ML Engineer to join their high-performing team in Victoria House, Central London , to help supercharge the next phase of their product. The Role of Machine … technological framework from its inception. Model Development: Build advanced molecular property prediction models and expand their AutoML pipelines . Infrastructure & MLOps: Architect the core ML infrastructure, including training pipelines, experiment tracking, model registries , and CI/CD for models. Data Curation: Curate and prepare specialized datasets of molecular properties. User ...

machine learning models end to end. Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning. Understanding of production grade ML workflows and CI CD principles. Experience building chatbots or NLP driven chat engines used in live environments. Comfortable working independently and taking ownership of complex … structure with senior mentorship and clear technical progression. How to Apply If you are a Senior Data Scientist looking to work on production level ML and LLM solutions within financial services, apply now to find out more. ...

Software Engineers to define data needs and ensure seamless integration into the product ecosystem. Utilize Python (Django) or Go to support the deployment of ML models. Requirements for the role: Strong grasp of statistics and modelling with an ability to derive actionable insights from patterns. MLOps experience Proven history … shipping ML products, ideally within demand prediction, computer vision, or optimization. Strong experience with Time Series Forecasting, Sequence Modelling, Signal Processing or Quantitive Analysis Proficient in Python and SQL. Experience with frameworks like PyTorch, Spark, or Airflow is highly desirable. Familiarity with AWS (SageMaker, Lambda) and CI/CD automation. ...

commercial performance and competitive advantage. They are now seeking a Head of Data Science to define and lead the next phase of their ML capability. This is a strategic leadership role focused on building a scalable, high-impact data science function that consistently delivers measurable business outcomes. This … performance metrics, and positioning machine learning as a long‐term strategic differentiator for the organisation. Skills & Experience Experience operating at scale where ML directly influences commercial performance A track record of building and leading high‐performing data science teams Strong stakeholder management skills, with the ability to influence ...

analytics capabilities that power large-scale intelligence and data-driven products. This is an opportunity to work within a research-focused environment, building scalable machine learning models and AI systems across areas such as NLP, recommendation systems, predictive analytics, and workforce intelligence. The Role As a Senior Data … Scientist, you will contribute to the development and optimisation of advanced machine learning and AI models while maintaining high standards of experimentation, validation, and responsible AI practices. You'll work closely with AI Engineers, Product teams, and cross-functional stakeholders to deliver scalable, production-ready solutions that drive ...

shape the future of data-driven decision-making across our organisation. This is an exciting opportunity for someone who wants to use advanced analytics, machine learning and AI to make a real difference to patient care and staff experience. Working at the leading edge of Data Science … healthcare challenges. You will work closely with the Head of Analytics to maintain and grow our data science capability, enabling the greater use of machine-learning models and AI to support operational and clinical improvement. Informatics is central to ESNEFT's vision. We are committed to using data ...

will play a key part in enabling that shift, ensuring the data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for the business, with backing already in place and a clear … both regulatory and product needs. As the platform matures, you’ll also help enable more advanced capabilities, including predictive modelling, scenario optimisation, and machine learning use cases, ensuring the data foundations are built to support them properly. What You’ll Be Doing In the early stages ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Central London Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

ML Engineer/Senior ML Engineer – GenAI & LLM Location: London, UK (Hybrid – 3 Days Onsite) Contract Duration: 12 Months We are looking for an experienced ML Engineer/Senior ML Engineer with strong expertise in Azure, Machine Learning Engineering, LLMs, and Generative AI to join a growing … engineering team. The role involves designing, developing, deploying, and maintaining enterprise-scale AI/ML and GenAI solutions in production environments. The ideal candidate will have hands-on experience in LLM application development, RAG pipelines, MLOps, model deployment, AI infrastructure, and scalable cloud-based ML systems . Required Skills Strong ...

applied AI into high-performance simulation and modelling tools used worldwide. This is a hands-on applied AI role — focused on building and deploying ML solutions inside production-grade engineering systems, not isolated research or experimental prototypes. The position: You’ll design, build, and deploy machine learning models … that directly enhance complex engineering software products. Expect a blend of ML engineering, software development, and computational problem solving. You’ll work across the full ML lifecycle, ensuring models are not only accurate, but efficient, scalable, and production-ready. Key Responsibilities: Build and deploy ML models into production engineering software ...

Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments. This is a genuinely high-impact opportunity for someone who enjoys solving complex real-time engineering challenges while influencing technical direction across … platform teams. Key areas of focus include: Real-time sports insights & personalisation Computer vision & multimodal AI Live event detection & metadata generation Low-latency ML inference systems End-to-end MLOps & production ML Scalable cloud-native AI platforms What they’re looking for: Strong experience leading ML engineering initiatives in sports ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...