76 to 100 of 269 Machine Learning Jobs in the South East

supportive and hands-on environment. Key Responsibilities: Analyse datasets to identify patterns, trends, and actionable insights. Support the development and evaluation of machine-learning models. Assist with data cleaning, preparation, and feature engineering. Conduct statistical analysis to support business decisions. Build reports, dashboards, and visualisations for internal stakeholders. … university (e.g., Russell Group or equivalent) Strong programming skills in Python and R. Solid understanding of statistical analysis and quantitative methods. Foundational knowledge of machine learning techniques (classification, regression, clustering, etc.). Strong analytical mindset and attention to detail. Ability to present findings clearly to technical ...

setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring … contributing to the growth and technical excellence of the organisation. Who we're looking for: You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing ...

setting the technical direction and ensuring the high-quality, scalable delivery of our most challenging, high-impact projects. This position combines deep expertise in machine learning with strategic oversight to define project roadmaps, manage technical risk, and architect reliable solutions. Your focus will be on driving innovation, mentoring … contributing to the growth and technical excellence of the organisation. Who we're looking for: You bring depth of expertise in at least one machine learning domain and strong technical breadth across the entire data science landscape. You are a skilled technical leader, proficient in mentoring individuals, managing ...

expertise Integrate algorithms within complex Seeker models Undertake system studies and performance analysis Foster innovation, including the use of agile methods, process improvements, and machine learning/AI in our products Essential experience: Algorithm development MATLAB Experience Identification, Planning and Running of investigations to inform systems design Data … coding (Simulink) Knowledge of RF systems and digital signal processing Experience in forming hypotheses and creating the method to prove them. Technical report writing Machine Learning and AI Even If you feel like you don't meet every qualification, we encourage you to reach out and apply. ...

Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models/solutions—from data pipelines … robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows. Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement. Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met. ...

resolution. 2. AI-Powered Virtual Agents & Automation Develop and optimize AI-driven virtual agents within Salesforce and external platforms. Utilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer support. Implement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platforms. Ensure … Flow, Omni-Channel Routing, and case automation. Familiarity with third-party AI, automation, and chatbot platforms outside Salesforce. Knowledge of API integrations, RPA, and machine learning-driven automation. Soft Skills & Experience Passionate about customer experience, AI, and digital transformation. Comfortable working directly with clients, understanding their self-service ...

fantastic opportunity for someone who loves automation, thrives in a fast-paced environment, and wants to work with cutting-edge Azure, DevOps, and ML Ops tooling. What you will be responsible for In this role, you’ll help drive a culture of automation, reliability, and continuous improvement across our DevOps … practices. You will: Design and maintain Azure DevOps pipelines, including reusable templates for data and ML workloads. Implement ML Ops workflows for deploying, monitoring, and retraining models on Azure Databricks. Integrate CI/CD into applications built in Python, C#, and JavaScript. Contribute to application-level development and deployment processes. ...

Strong programming skills (Python preferred; Java or similar acceptable) Solid experience with cloud platforms (AWS, Azure or GCP) and modern DevOps practices Experience integrating machine learning/GenAI models into real-world systems Experience with LLMs, RAG, vector search, conversational AI, or unstructured data pipelines Familiarity with ...

Technical Leadership, Engineering Strategy, Software Reliability, Performance Optimisation, Automation, DevOps, CI/CD, AWS, Azure, Google Cloud, Kubernetes, Docker, Open Source, GitHub, Research Engineering, Machine Learning Engineering, AI Engineering, Deep Learning, Mathematical Modelling, Competitive Programming, Hackathons, Research Projects, Technical Projects, Product Development, MVP Development, Prototyping, Rapid Development ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

cycle (preferably Agile) Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting Experience with BI An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Project management experience Humanitarian knowledge/experience Additional Information This is a remote position and you will be expected ...

Engineer/ML Engineer £700-£800 pd via Umbrella Fully Remote- occasional UK office visit Leading Financial Services business is looking to bring in an experienced AI Engineer/ML Engineer with commercial experience in Generative AI and/or Agentic AI solutions. Key Requirements Proven experience delivering GenAI … architecture, orchestration, and scalable deployment practices Preferred Experience Building AI agents, RAG pipelines, or enterprise AI applications Working with cloud-based AI/ML platforms and data storage solutions Collaborating with engineering and product teams to deliver production-ready AI systems This role would suit someone who combines strong technical ...

Senior AI/ML Engineer (LLM's/RAG Pipeline Development)Guildford, Surrey (Fully Onsite)£85000 - £125,000 + 25% Bonus, 10% Pension, Private Medical.- Must have a Masters or PhD Degree in a STEM/Computing discipline.- Must work full-time, 5 days a week in the Guildford office. … building, and deploying LLM-based applications into production environments.We're looking for a Senior Engineer who can bridge the gap between advanced AI/ML and production-grade software, taking models from concept through to scalable deployment. It is not purely an AI/ML role ...

datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. … research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data ...

datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. … research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data ...

candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business, work will directly influence how we harness ...

proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. ...

Software Development Life cycle Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering ...

Software Development Life cycle Thorough grounding in containerisation e.g. Docker, Kubernetes Shell scripting An interest in software-engineering or data-science e.g. ML/DL/AI/Statistics Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering ...

features. Who We're Looking For We're looking for a curious, analytical, and enthusiastic graduate who enjoys solving problems and learning new technologies. You'll be proactive, organised, and eager to develop your technical skills while working collaboratively in a supportive team environment. Requirements Essential Bachelor's degree … Google Gemini. Familiarity with Microsoft Excel or Google Sheets for handling data. Basic programming knowledge in Python, SQL, or JavaScript. Understanding of AI, machine learning, prompt engineering, or data analysis through university coursework or personal projects. Previous internship, placement, or personal projects related to AI or technology. Familiarity ...

including harvesting, ingesting, integrating, cleansing, migrating, and converting structured and unstructured data. Designing and managing data structures, storage, and data flows to enable analytics, machine learning, business intelligence, compliance, and system integration. Building solutions with security, compliance, scalability, reliability, and portability at their core, ensuring all data handling ...

ecosystems using Azure, AWS or GCP Data strategy, operating models and transformation roadmaps Data governance, data quality and wider data management initiatives AI and machine learning use cases that support business growth and innovation Programme governance, planning, risk management and delivery activities Cross-functional teams including Architects, Engineers ...

successful candidate will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, they will design and build modern machine learning and AI services that support analytics and improve products across the business. It’s a chance to work on a very modern … performance of data components. Improving engineering processes across the wider data community. Promoting high coding and data practice standards. Experimenting with emerging data, ML and AI technologies. Partnering with architects on data product designs. Working collaboratively in multi-functional agile squads. Supporting ML and GenAI infrastructure and workflows. Key Requirements ...

Data Engineer – Build the Future with Data & AI Join a high-performing team building cutting-edge data, machine learning and AI solutions on a modern cloud platform. You'll design scalable data pipelines, develop innovative data products, and work with the latest technologies in a collaborative, agile environment. … performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies What you'll need: Strong Python, PySpark, SQL and Databricks or Snowflake experience AWS cloud data engineering expertise Experience building scalable batch ...

Defining engineering standards, data models and best practice Driving CI/CD, automation and modern engineering practices Collaborating with AI engineers to productionise machine learning and AI solutions Exploring how AI can enhance engineering productivity, quality and delivery What you'll bring Strong experience with Python … data products solving real business challenges Collaborate with experienced engineers, architects and AI specialists in a supportive environment where ideas are valued and learning is encouraged If you're looking for a role where you can influence technical direction, build great engineering practices and remain close to the technology ...