1 to 25 of 264 Machine Learning Jobs in the South East

Data Scientist/Machine Learning Engineer Join our team as a Data Scientist/Machine Learning expert in the Analytics department within the business services industry. This permanent position, based in London, offers an opportunity to apply advanced data science techniques to deliver actionable insights. Client … Learning expert should have: A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries ...

production-ready solutions within a short timeframe. Key Responsibilities Design, develop and optimise machine learning models using Python Train and validate traditional ML algorithms on structured datasets Apply appropriate evaluation metrics and performance tuning techniques Translate business requirements into robust ML solutions Deploy or hand over trained models … development Proven experience working with traditional machine learning models (e.g. regression, classification, clustering, ensemble methods) Demonstrable experience training, validating and applying custom ML models Strong understanding of core Machine Learning concepts (feature engineering, overfitting, bias/variance trade-off, cross-validation, model evaluation) Experience working with ...

+ benefits Harnham is working with a tech firm in the Private Equity space and hiring a few positions across Data Science, Machine Learning Engineering and Data Engineering. The company have an impressive founding team and hold a strong reputation within the Data & AI and Private Equity space. … They partner with some leading investment firms in deploying AI and machine learning for the sole purpose of creating value. Often working in ambiguous and greenfield environments, you will collaborate with a strong team of technical people across multiple industries to solve complex commercial and data problems, delivering ...

enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You'll work on end-to-end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production-ready AI and ML solutions. THE COMPANY This technology … transformation. With a good technical team they've built a positive reputation and an enjoyable team to work with. THE ROLE As a Senior ML Engineer, you'll work across different clients, industries, and use cases - perfect if you enjoy variety and dislike being stuck on slow moving projects. ...

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 ...

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 ...

partners to develop your career and the solutions we deliver for our clients. In this role you will: Solve challenging business problems using advanced machine learning methods such as Deep Learning and quantitative analytics. Understand business requirements and support the development of business cases. Run discovery analytics … identify new and innovative opportunities. Partner with developers and engineers to deploy machine learning algorithms to deliver business value. Define approaches to embed and scale machine learning models. Build reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses ...

LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications Process real-time, unstructured, and semi-structured data (text, documents, speech, images) Collaborate with software engineers to embed AI capabilities into … system monitoring Required Skills & Experience Bachelor's degree or higher in a relevant STEM discipline. Strong Python development skills for AI/ML and backend services Hands-on experience with agentic AI architectures and autonomous workflows Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks) Experience building ...

used across entertainment, engineering, and scientific applications. This role focuses on maximising GPU-based processing performance, including real-time data handling, image processing, and machine learning workloads. You will join a collaborative software engineering team and work closely with machine learning and research specialists … implement high-performance algorithms using CUDA Manage host–device interactions, including memory management, data transfer optimisation, and multi-GPU support Deploy and optimise machine learning models using TensorRT within C++ applications Profile and optimise GPU workloads using NVIDIA Nsight Systems and Nsight Compute Configure GPU hardware and software ...

This role is designed for a senior AI leader who operates at the frontier of machine learning and real-world impact. The focus is on building and scaling advanced AI systems that learn from complex, messy, multi-modal data and turn that learning … into reusable capabilities that materially improve decision-making and outcomes. What this person actually does Leads a high-calibre team of AI scientists and ML engineers building large-scale, production-ready AI systems Designs and delivers foundation models using self-supervised and representation learning techniques Builds models that learn ...

prior professional experience is required—what matters is curiosity, problem-solving skills, and passion for AI. What You’ll Do Implement, train, and optimize ML models (supervised, unsupervised, reinforcement learning) Preprocess data, engineer features, and evaluate model performance Deploy models to production and monitor performance Collaborate with cross-functional … teams to integrate AI solutions Learn and apply the latest ML/AI research and tools You Should Have Recently completed or soon-to-be completed Bachelor’s or Master’s in Computer Science, Data Science, AI, Statistics, or related field Strong programming skills in Python (and optionally R, Java ...

leading technology consultancy is seeking an experienced Machine Learning Operations Engineer to help deploy AI/ML solutions into production environments across a range of client engagements. This role is focused on operationalising models (MLOps/AIOps), rather than building ML applications from scratch. Key Responsibilities Design … develop machine learning operational processes across diverse client environments Analyse client requirements and provide clear technical recommendations Manage the full ML lifecycle, including data selection, model deployment, operationalisation, and monitoring Develop Infrastructure as Code for ML platforms using AWS CDK Collaborate closely with data scientists to productionise ML ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

performant AI-driven features. A Day in The Life Typically Includes: Lead, mentor, and grow a team of engineers focused on AI/ML development within the Infor MES solution. Architect and deliver scalable Generative AI and Machine Learning solutions leveraging Infor OS platform services and APIs. Drive … design and integration of AI/ML models into MES workflows, ensuring seamless customer experiences and operational reliability. Collaborate closely with cross-functional teams — Product Management, Software Engineering, Cloud Infrastructure, and Security — to align AI initiatives with business goals. Evaluate emerging AI/ML technologies and frameworks to continuously innovate ...

explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods … such as Deep Learning and quantitative analytics Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable ...

models using ERStudio Integration & Messaging Implement message-oriented data movement and ensure robust API design and access for data services Data Analytics & AI/ML Utilize AzureML for advanced analytics and machine learning workflows Explore Generative AI and Agentic AI for innovative data solutions Data Virtualization & Streaming Enable … Development Build and optimize workflows using Matillion, Alteryx, and Qlik Visualization & Reporting Develop dashboards and reports using Power BI Innovation Drive adoption of Machine Learning, Generative AI, and Agentic AI in enterprise data strategies Required Skills & Qualifications Strong experience with data platforms (Fabric, Snowflake, Databricks, MongoDB, RDBMS) Hands ...

real value. Specifically, you can expect to be involved in the following: Designing, building, and running AI solutions Combining software engineering, data engineering, and machine learning/LLM skills to deliver robust AI products Leading medium to large AI initiatives independently, making technical decisions and trade-offs Working … experience: 8+ years experience in AI, machine learning, data science, or software engineering roles Proven experience delivering end-to-end AI/ML solutions in production Strong programming skills in Python and SQL Experience with classical machine learning and LLMs/generative AI (prompting, RAG, APIs ...

robust solutions Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development Lead implementation of engineering standards across AI and ML delivery Stay current with emerging AI technologies and contribute to continuous innovation Essential Skills for the AI Engineer: Strong proficiency in Python with extensive experience … using AI, ML and NLP libraries Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation Practical experience with core Generative AI frameworks and agent-based AI frameworks Strong experience with MLOps and LLMOps tooling including model lifecycle management Proven deployment experience on major ...