51 to 75 of 261 Machine Learning Jobs in the South East

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

enforcement, and telecommunications. As a Data Scientist, you will tackle complex, high-stakes data challenges for government clients, applying advanced data science and machine learning techniques to help organisations make faster, more accurate, and better-informed decisions where it really counts. Key Responsibilities Leading client projects and providing … science libraries, implementing established techniques or developing novel approaches as required. Designing, evaluating, and implementing on-premises, cloud-based, and hybrid data science and machine learning techniques and algorithms, including testing, risk identification, and mitigation. Developing scalable models and algorithms suitable for production deployment. Applying ethical principles ...

keen ability to assess, analyse, and meet client-specific needs. You willplay a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI)solutions for our clients, along with providing key advice around innovation and new techniquesto stakeholders.You will be designing solutions for complex challenges … will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ...

Description Machine Learning Engineer Location: Oxfordshire/Hybrid Position Type: Permanent + Contract Options Available Clearance Required: SC clearance required The Opportunity Our client is an expanding technology firm addressing complex, high-stakes data challenges within highly regulated sectors. They specialize in building intelligent applications that process massive ...

right tool, with a focus on insight and impact Communicate findings and recommendations clearly to technical and non-technical audiences Partner with ML engineers to productionise models that need to ship and scale Develop metrics and measurement frameworks that help teams make better decisions (For Senior/Lead roles … comfort with messy, real-world data Experimentation and A/B testing, and causal inference techniques Cloud and notebook environments; exposure to ML frameworks (PyTorch, TensorFlow) is a plus Awareness of LLMs and generative AI for applied use cases A note on scope: this lane is about insight, experimentation ...

engineering, model evaluation, testing, and monitoring frameworks to ensure reliable and high-quality outputs. * Work with structured and unstructured datasets to support AI and machine learning initiatives. * Establish best practices for AI development, deployment, governance, and ongoing optimisation. * Troubleshoot and resolve issues relating to AI applications, data pipelines … Generative AI and identify opportunities to leverage emerging technologies across the organisation. Profile * The AI Engineer will have proven experience delivering AI and machine learning solutions within small-to-medium-sized enterprises (SMEs), start-ups, or scale-up businesses . * Strong experience working directly with business stakeholders, gathering ...

Analytical Engineer Ready to turn complex data into powerful insights? Join a forward-thinking Data & AI team building cutting-edge analytics, machine learning and GenAI solutions that shape smarter business decisions. You’ll be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers … Architects to design and deliver cutting-edge machine learning and AI-driven solutions. Skills and experience you need as Analytical Engineer: Strong hands-on experience with modern cloud data platforms (e.g. Databricks or Snowflake), ideally within AWS environments Advanced programming and data engineering skills in Python, PySpark ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling … engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your prior experience, helping you gain momentum and confidence while staying aligned with the current market. There are progression opportunities ...

closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear … engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We’re Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair ...

closely with marketing, creative, and technical teams to understand their data needs and deliver tailored solutions. Innovate with Data: Use advanced statistical methods and machine learning algorithms to uncover trends, patterns, and opportunities that drive business growth. Present Insights: Communicate your findings to stakeholders in a clear … engaging manner, making data relatable and actionable. Mentor Junior Team Members: Share your expertise and guide less experienced data scientists, fostering a culture of learning and collaboration. What We’re Looking For: Our client is seeking a talented individual with a blend of technical expertise and a flair ...

Travelport as we build AI capability at real travel industry scale. Your role in action Define and lead Travelport’s data strategy across AI, machine learning, analytics, data products and platform modernisation. Lead a multidisciplinary data capability across data science, data engineering, analytics and partner-delivered data products. … what needs to change in the platform. Could this be you? You’ve led data strategy, data architecture, data engineering or applied AI/ML teams in a complex technology business. You have recent experience building or modernising cloud data platforms that support machine learning, advanced analytics ...

behaviour at scale, enabling Kantar's products to test scenarios and predict outcomes before they happen. What you'll be doing Developing and deploying machine‐learning models in production environments Working end‐to‐end across the data science lifecycle: problem definition, modelling, deployment and monitoring Analysing … data scientist on real‐world, production problems Strong Python skills (or a similar language used in applied data science) Experience with supervised learning and unsupervised techniques such as anomaly detection Exposure to cloud‐based model training, deployment and automation A strong sense of ownership and accountability for data science ...

sectors and specialist areas. Depending on your background and experience, you could take on the role of: BI Developer Data Engineer Data Scientist Machine learning Engineer Robotic Process Automation Consultant Whatever your experience, we can help you progress from where you left off, whether at mid, senior … level. Within the FDM Skills Lab you’ll receive upskilling in: Business intelligence and advanced analytics Diverse data modelling, engineering and warehousing Automation and machine learning Modern data platforms and tools used to forecast, analyse and unlock business value This structured learning is designed to complement your ...

organisation to recruit a fraud data analytics specialist. The team works at the forefront of data-driven fraud risk management, leveraging technologies such as machine learning, network analysis, graph analytics, and large language models to uncover hidden risks, identify suspicious behaviour, and support high-profile investigations. This … MySQL) Data visualisation tools (Power BI, Tableau, Spotfire) Cloud platforms, particularly Microsoft Azure Big data technologies (Spark, Elasticsearch, Hadoop) Statistical modelling and advanced analytics Machine learning and pattern recognition techniques Web technologies such as HTML and JavaScript ...

Stay up to date with emerging AI technologies and recommend improvements to existing solutions What They're Looking For Experience as an AI Engineer, Machine Learning Engineer or Software Engineer with a strong focus on AI Hands-on experience building and deploying AI or machine learning ...

Senior Project Manager - eDiscovery, AI/GenAI/machine learning Our client is looking to recruit a Senior Project Manager (eDiscovery, AI/GenAI/machine learning) on a permanent basis to lead the full lifecycle of litigation technology projects, from early case assessment through trial ...

solution into production. 1x Data Scientist - (Predictive Maintenance)Must have:-· Full stack data scientist with both science and engineering skills to develop ML solutions and get them into production· Senior individual contributor...able to draw upon a wide experience of problems and solutions to technically guide more junior data scientists.· Expert … applied machine learning, including the techniques currently being used in PRISM (XGBoost and SHAP)· Experience of using machine learning to solve commercial predictive· Ideally, experience with Causal MLBoth roles require Stakeholder management skills (defining and prioritising requirements, contributing to product roadmap, supporting adoption). Hays Specialist ...

client is an award-winning technology company developing advanced software platforms used across the UK and internationally. They operate at the intersection of AI, Machine Learning, NLP, IoT, SaaS, and Cloud technologies , and are seeking high-calibre STEM graduates to join as Graduate Technical Engineers , with a structured … analysing system behaviour Communicate technical concepts to technical and non-technical stakeholders Contribute to ongoing system and development improvements Technology Exposure Artificial Intelligence & Machine Learning Natural Language Processing (NLP) SaaS & Cloud platforms IoT/M2M systems Unified Communications & Contact Centre technologies IT Security & Data Infrastructure Future development into ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic … machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across ...

large organisation, it offers a structured and professional environment with opportunities to work on impactful projects. Description Data Scientist - London Build and deploy machine learning models used in real-world applications Work with both structured data and text (NLP) to generate insights Design and maintain data pipelines … approaches Experience building models that are actually used in production Comfortable working with real-world, messy datasets. Familiarity with data pipelines, deployment, and maintaining ML systems Experience with NLP/text modelling (e.g. classification, embeddings, transformers) Exposure to finance, economics, or risk-related data. Job Offer Data Scientist - London Competitive ...

data science strategy, and ensure the successful delivery of business-critical initiatives. Key Responsibilities Lead the design, development, and deployment of advanced analytical and machine learning models. Partner with business and technology stakeholders to translate complex challenges into data-driven solutions. Drive the modernisation of data science practices … complex organisations. Strong Python and/or HX modelling experience. Track record of delivering models that drive measurable commercial outcomes. Expertise in predictive modelling, machine learning, and statistical analysis. Experience working with large-scale structured and unstructured datasets. Strong stakeholder management and communication skills. Desirable Insurance or financial ...

pragmatic delivery. This is an organisation that invests in modern tools and encourages continuous learning. The Role and Deliverables Build, validate, and deploy machine learning models to solve business problems Translate complex data into actionable insights for non-technical stakeholders Work with structured and unstructured datasets to uncover … clear documentation and communicate findings effectively Support ongoing optimisation and monitoring of deployed models Your Skills & Experience Strong experience in data science or applied machine learning within a commercial environment Proficiency in Python or R, with experience using relevant libraries and frameworks Experience working with SQL and handling ...